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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Metabolic syndrome &#40;MS&#41;&#44; characterized by the concomitant presence of insulin resistance &#40;IR&#41; and other metabolic alterations&#44; such as obesity&#44; dyslipidemias and arterial hypertension&#44; has been shown to be highly prevalent in children&#44; especially in those with excess body fat&#46;<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">1&#44;2</span></a> This syndrome is known to be associated with a higher risk of developing cardiovascular diseases and tends to persist into adulthood&#44; but its definition in children remains controversial&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">IR&#44; the main indicator used in the diagnosis of MS&#44; is characterized by reduced glucose uptake by the cells for a given insulin concentration&#46; This syndrome has been identified as a public health problem&#44; including in childhood&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;4</span></a> Studies have shown a strong association between IR and excess body adiposity&#44; mainly in the central region&#44; since the accumulation of intramuscular lipids from the entry of long-chain fatty acid into the cells inhibits the translocation of the glucose transporter &#40;GLUT-4&#41;&#44; reducing glucose uptake by the cells&#44; which favors peripheral resistance to insulin action&#46;<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">4&#44;5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">There are several methods for the diagnosis of IR&#44; but biomolecular evaluations of insulin receptors and post-receptors and the euglycemic-hyperinsulinemic clamp test&#44; considered the &#8220;gold standard&#44;&#8221; are expensive and not easily accessible for most of the population&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">6&#44;7</span></a> The Homeostasis Model Assessment &#40;HOMA&#41; method has been widely used in studies for the diagnosis of IR and has been validated for children&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">8</span></a> However&#44; to calculate the HOMA index&#44; it is necessary to measure serum insulin levels&#44; which in most cases is not part of the routine assessment in the health services&#44; especially in the pediatric population&#44; which makes it difficult to use this index for identification of IR in this population&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Recently&#44; the TyG index &#40;the product of the serum triglyceride concentration and fasting glycemia&#41; has been used in studies to evaluate IR in adults<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">7&#44;9&#44;10</span></a> and adolescents&#44;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;11</span></a> demonstrating good discriminatory power for the diagnosis of IR&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">No studies were identified that tested the TyG index in preschoolers and schoolchildren&#46; Moreover&#44; there was a scarcity of studies evaluating factors other than adiposity that may be associated with IR in children&#44; such as dietary patterns and lifestyle&#46; With the identification of the factors associated with IR in childhood&#44; early intervention can be undertaken&#44; aimed to reduce the risk of cardiovascular diseases throughout life and&#44; consequently&#44; reducing public health expenditures&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Considering these facts&#44; the aim of this study was to investigate the factors associated with IR in children aged 3&#8211;7 years and to identify the TyG index cutoff point used for IR prediction in this population&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Design and sample</span><p id="par0035" class="elsevierStylePara elsevierViewall">This was a cross-sectional study&#44; conducted with children from a retrospective birth cohort at the only maternity hospital in the municipality of Vi&#231;osa&#44; state of Minas Gerais&#44; Brazil&#46; The children were followed by the Lactation Support Program &#40;Programa de Apoio &#224; Lacta&#231;&#227;o &#91;PROLAC&#93;&#41; during the first year of life and were reassessed at age of 4&#8211;7 years&#46; PROLAC is a program of Universidade Federal de Vi&#231;osa in partnership with the Human Milk Bank of the municipality&#46; Its main activities are providing guidance to mothers in the postpartum period with the aim to promote breastfeeding&#44; as well as nutritional care for children in their first year of life and for their mothers&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Based on information collected from the PROLAC care records and considering two inclusion criteria &#40;presence of identification data that allowed locating the children and date of birth compatible with age between 4 and 7 years at the time of the study&#41;&#44; 669 children were considered eligible for the study&#46; Among those considered eligible to participate&#44; 176 were not located &#40;change of address&#41; after at least three attempts to locate the children through home visits&#44; 75 were not authorized by parents&#47;guardians to participate or did not complete all stages of the study&#44; and eight had problems that prevented their participation&#46; Moreover&#44; eight children were excluded as they had incomplete food consumption data and&#47;or biochemical tests&#46; Thus&#44; the present study sample consisted of 402 children&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The study was approved by the Human Research Ethics Committee of Universidade Federal de Vi&#231;osa &#40;Ref&#46; No&#46; 892476&#47;2014&#41; and the norms regulating research involving human beings were adopted&#44; according to the National Health Council &#40;resolution No&#46; 466&#47;2012&#41;&#46; The parents or guardians of all children included in the study signed the Informed Consent&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Body adiposity</span><p id="par0050" class="elsevierStylePara elsevierViewall">The adiposity indicators evaluated were body mass index &#40;BMI&#41; and total body fat&#44; which estimate total adiposity&#59; and the waist-to-height ratio &#40;WHtR&#41; and central fat&#44; which estimate the risk associated with abdominal adiposity&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Weight was measured on an electronic digital scale with a capacity of 150<span class="elsevierStyleHsp" style=""></span>kg and accuracy of 10<span class="elsevierStyleHsp" style=""></span>g&#44; whereas height was measured with a vertical stadiometer fixed to the wall&#44; with a 2-m extension&#44; divided in centimeters and subdivided in millimeters&#46; BMI for age &#40;BMI&#47;A&#41; was calculated as <span class="elsevierStyleItalic">Z</span>-score according to gender&#44; using the World Health Organization reference&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">12</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">Waist circumference was measured at the level of the umbilicus&#44; using a 2-m flexible and inelastic measuring tape&#44; divided into centimeters and subdivided into millimeters&#46; The measurements were performed in triplicate&#44; with the two closest ones being used to calculate the mean&#46; The waist-to-height ratio &#40;WHtR&#41; was calculated based on the ratio of the waist circumference &#40;cm&#41; and the height &#40;cm&#41;&#44; considering risk values those &#62;0&#46;5&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">13</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Body composition assessment was performed using dual energy X-ray absorptiometry &#40;DXA&#41;&#44; and the results of the percentage of total and central fat were used for the analyses&#46; All evaluations were performed at the UFV Health Department&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Insulin resistance &#40;IR&#41;</span><p id="par0070" class="elsevierStylePara elsevierViewall">Blood collection was performed at the clinical analysis laboratory of the Health Department of the UFV&#44; after a 12-h fast&#46; Serum triglyceride and fasting blood glucose levels were measured&#46; Additionally&#44; fasting insulin was evaluated in a subsample of study children &#40;35&#37;&#44; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>141&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">To evaluate insulin resistance &#40;IR&#41;&#44; the TyG index was calculated as&#58; ln&#91;fasting triglycerides &#40;mg&#47;dL&#41;<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>fasting glucose &#40;mg&#47;dL&#41;&#47;2&#93;&#46;<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">9&#44;11</span></a> The IR estimate was also obtained in a subsample of 141 children through the Homeostasis Model Assessment for Insulin Resistance &#40;HOMA-IR&#41;&#44; which is the product of fasting insulin &#40;&#956;U&#47;mL&#41; and fasting glycemia &#40;mmol&#47;L&#41;&#44; divided by 22&#46;5&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a> Insulin resistance was defined when the HOMA-IR value was higher than the 90th percentile of the sample&#46;<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">1&#44;4</span></a> This method was adopted as the reference to determine the TyG index cutoff point&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Dietary patterns</span><p id="par0080" class="elsevierStylePara elsevierViewall">To evaluate study children&#39;s food intake&#44; parents or guardians were asked to complete three food records on non-consecutive days&#44; one of which was during the weekend&#46; All records were checked and reviewed by the investigators&#44; along with parents&#47;guardians&#44; to reduce reporting biases&#46; The data were entered and processed using a software &#40;Dietpro<span class="elsevierStyleSup">&#174;</span> software&#44; version 5i&#44; MG&#44; Brazil&#41;&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">In the identification of food patterns&#44; an <span class="elsevierStyleItalic">a posteriori</span> statistical method was applied through principal component analysis &#40;PCA&#41;&#46; Before PCA was performed&#44; sample size adequacy and analysis applicability were evaluated&#44; estimating the Kaiser&#8211;Meyer&#8211;Olkin coefficient &#40;KMO<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;561&#41; and the Bartlett sphericity test &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; For a better interpretation of the factors&#44; varimax orthogonal rotation was applied&#44; and the number of factors&#47;components to be retained was determined based on the plot of Cattell&#39;s scree test&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Foods&#47;groups with factorial loads<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>&#8805;0&#46;25 were considered strongly associated with the component&#44; providing better information for the identification of a food pattern&#46; For pattern denomination&#44; the characteristics of the foods&#47;groups that contributed the most to each component were considered&#44; as well as the nomenclatures used in other studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">15&#44;16</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">After the identification of the dietary patterns&#44; the factor scores were calculated for each child in the study&#59; thus&#44; each one had a factorial score in all identified patterns&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Socio-demographic&#44; lifestyle&#44; and breastfeeding variables</span><p id="par0100" class="elsevierStylePara elsevierViewall">A semi-structured questionnaire was applied to the child&#39;s parent&#47;guardian to obtain sociodemographic information&#44; such as age and <span class="elsevierStyleItalic">per capita</span> income&#46; The information on life habits was obtained by applying a questionnaire adapted from Andaki&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">17</span></a> The assessed variables were&#58; daily screen time &#40;television&#44; computer&#44; games&#41; and daily time spent in active activities &#40;running&#44; cycling&#44; playing ball&#41;&#46; Data on exclusive breastfeeding time &#40;EBF&#41; were obtained from the PROLAC records&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Data analysis</span><p id="par0105" class="elsevierStylePara elsevierViewall">Descriptive analysis of the data was performed through measures of frequency distribution&#44; central tendency&#44; and dispersion&#46; The distribution of variables was assessed using the Shapiro&#8211;Wilks normality test&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Linear regression was used to investigate the factors associated with IR in the study children&#44; estimating the regression coefficient and the confidence interval&#46; In the bivariate analysis&#44; variables with a value of <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;20 were considered for inclusion in the multiple model&#46; The analyses were performed using a software &#40;Stata Statistical Software&#58; Release 13&#46; College Station&#44; TX&#44; USA&#41; and the statistical significance considered was <span class="elsevierStyleItalic">&#945;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>5&#37;&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">To identify the TyG index cutoff point for IR prediction in the study children&#44; the receiver operating characteristic &#40;ROC&#41; curve was analyzed&#44; considering the cutoff point with the best balance between sensitivity and specificity values&#46; HOMA-IR was the reference method used for identification of the TyG index cutoff point&#46; The analysis of the ROC curve was performed using a software &#40;MedCalc<span class="elsevierStyleSup">&#174;</span> software&#44; Belgium&#41;&#46;</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0120" class="elsevierStylePara elsevierViewall">Most study children were males &#40;55&#37;&#41;&#44; with a median age of 73 months&#46; There was no difference in TyG index between genders &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;355&#41;&#46; The prevalence of excess weight &#40;overweight or obesity&#41; and alterations in the WHtR index was 25&#46;6&#37; and 26&#46;8&#37;&#44; respectively &#40;data not shown&#41;&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">As for food consumption&#44; five food patterns were identified among the study children through the PCA&#44; which explained 42&#46;3&#37; of the data variance &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; The food patterns were called &#8220;Traditional&#8221; &#40;consisting of foods&#47;preparations typical of Brazilian food&#44; such as&#58; white rice&#44; beans&#44; vegetables&#44; roots&#44; porridge and flour&#44; and meats&#44; fish&#44; and eggs&#41;&#59; &#8220;Unhealthy&#8221; &#40;represented mainly by foods&#47;groups with high sugar and fat content&#58; artificial juice and soft drinks&#44; fried foods&#44; snacks&#44; processed meats&#44; sweets and cream-filled cookies&#41;&#59; &#8220;Milk and chocolate milk&#8221; &#40;mainly represented by milk and dairy products and chocolate powder&#41;&#59; &#8220;Snacks&#8221; &#40;consisting mainly of typical bakery foods&#58; breads&#44; cakes and cookies&#44; butter and margarine&#44; coffee and teas&#41;&#59; &#8220;Healthy&#8221; &#40;natural juice&#44; fruits&#44; vegetables&#44; and broth&#47;soups&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">In the simple linear regression analysis&#44; it was observed that the higher adherence to the &#8220;Unhealthy&#8221; food pattern was positively associated with the TyG index&#59; as for the daily time spent in active activities&#44; it was negatively associated with the index&#59; that is&#44; the less active the child&#44; the higher the TyG value&#46; Moreover&#44; with each increase of one unit in the four indicators of body adiposity assessed&#44; the higher the TyG values observed in the study children &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">In the multiple model&#44; the variables that remained independently associated with the TyG index were variables of daily time spent in active activities and body adiposity&#46; The lower the daily time spent in active activities&#44; the higher the TyG value&#59; and increase in BMI&#44; WHtR&#44; percentage of total&#44; and central fat was positively associated with TyG &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Of the TyG index cutoff points tested to predict IR in the study children&#44; the best balance between the sensitivity &#40;S&#41; and specificity &#40;Sp&#41; values was 7&#46;88 &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; Considering this cutoff point&#44; the prevalence of IR in the study children was 42&#46;3&#37; &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>170&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0145" class="elsevierStylePara elsevierViewall">In this study&#44; conducted with children aged 4&#8211;7 years from a retrospective cohort&#44; it was observed that the increase in total and central body adiposity and a shorter daily time spent in active activities were positively associated with IR&#44; evaluated by the TyG index&#46; The association between adiposity and IR has been described in other studies with children<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">3&#44;18&#44;19</span></a>&#59; however&#44; methodological differences&#44; mainly regarding the method used and the cutoff points for the diagnosis of IR&#44; make it difficult to compare the results&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">A recent study carried out with Japanese schoolchildren found that increased abdominal adiposity&#44; as assessed by the WHtR&#44; was associated with an increased prevalence of IR&#44; detected by the HOMA index&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">20</span></a> Nightingale et al&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">18</span></a> performed a study of children from different regions of the world&#44; and similar to the present study&#44; evaluated body and central adiposity according to different indicators&#46; The authors observed a positive association between all indicators of adiposity and IR&#44; when evaluated by the HOMA index&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">In Brazil&#44; Ferreira et al&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">1</span></a> carried out a cross-sectional study with children and adolescents aged 7&#8211;11 years&#44; and found that BMI was positively associated with IR&#44; as assessed by the HOMA index&#46; The present authors did not identify any national studies that evaluated IR only in children &#40;younger than 10 years&#41;&#44; without including adolescents&#59; they understand the importance of studying metabolic alterations in prepubertal children&#44; without including those already at puberty&#44; in which the effects of steroid hormones can be already observed&#46; Mainly in relation to IR and MS frequency&#44; there is evidence that they increase with puberty&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">21</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">Peplies et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> in a longitudinal study carried out with children aged 3&#8211;10 years living in eight European countries&#44; found a positive association between body adiposity &#40;assessed by BMI and waist circumference&#41;&#44; sedentary behavior&#44; and presence of IR&#46; These findings corroborate those observed in the present study&#44; when&#44; after adjusting for other variables&#44; the longer daily time spent in active activities was associated with lower TyG index values&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Sedentary behavior&#44; which is increasingly observed among children&#44; has been considered an important behavioral risk factor for the development of metabolic alterations&#44; such as IR and dyslipidemia&#46;<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">22&#44;23</span></a> Thus&#44; it is crucial to encourage in regular physical activity practice and discourage sedentary behavior at this phase&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">The prevalence of excess weight &#40;as measured by BMI&#41; and central adiposity &#40;when using the WHtR&#41; were high in the study children&#44; around 25&#37;&#44; similar to that observed in other studies with a similar age group<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">16&#44;24</span></a> and also according to the Family Budget Survey carried out in Brazil&#44; where the prevalence of excess weight in boys and girls aged 5&#8211;9 years was 34&#46;8&#37; and 32&#46;0&#37;&#44; respectively&#46;<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">25</span></a> In children&#44; obesity&#44; especially abdominal obesity&#44; seems to be an important trigger for insulin resistance&#44;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">26</span></a> which makes obese children a risk group for metabolic alterations&#44; reinforcing the need to define clinical and laboratory indicators for diagnosis in this group&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">27</span></a> Studies have shown that the combination of BMI and waist circumference improved the prediction of cardiometabolic risk factors in children&#46;<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">22&#44;28</span></a> Thus&#44; for an early and more reliable diagnosis of adiposity alterations in children&#44; more than one indicator should be used whenever possible&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">In the bivariate analysis&#44; the &#8220;Unhealthy&#8221; dietary pattern was positively associated with the TyG index&#59; that is&#44; children with a higher intake of foods rich in simple sugars and fat had a higher risk of IR&#46; However&#44; after adjusting for lifestyle and adiposity variables&#44; this association was not maintained&#44; due to the strong association between body adiposity and IR&#46; As in the present study&#44; Peplies et al&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> also found no association between the consumption of sugar-rich foods and IR in children &#40;assessed by the HOMA index&#41; after adjustment for nutritional status&#46; However&#44; it is a consensus that the adoption of a healthy dietary pattern&#44; characterized by the consumption of fruits&#44; vegetables&#44; lean meats&#44; and low intake of sugars and fats&#44; is a determining factor for a lower risk of chronic diseases such as obesity&#44; metabolic syndrome&#44; and cardiovascular diseases&#46; This beneficial effect can be explained&#44; at least in part&#44; by the diet&#39;s modulating role on biomarkers of insulin sensitivity and atherogenesis&#44; as well as inflammation and endothelial function&#46;<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">29&#44;30</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">Another relevant result of the study is the cutoff point established for children aged 4&#8211;7 years&#46; In the ROC curve analysis&#44; the AUC of 63&#37; indicated a moderate accuracy of the TyG index to identify IR among the study children&#46; However&#44; it is noteworthy that there is no consensus regarding the use of the HOMA index &#40;reference method used&#41; in the assessed age group&#44; especially in relation to the best cutoff point to be used&#44;<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">18&#44;27</span></a> which may have influenced the accuracy of the index test&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">The cutoff point higher than 7&#46;88 was the one that showed the best balance between sensitivity &#40;80&#46;0&#37;&#41; and specificity &#40;53&#46;2&#37;&#41;&#46; The cutoff point with a higher sensitivity value in relation to the specificity was chosen to use the TyG index for early identification of IR&#44; so children with a TyG index higher than 7&#46;88 should be considered as having a higher risk for IR development&#44; when compared to those with lower TyG values&#44; and not as already showing IR&#46; If IR risk is identified by TyG&#44; another more precise and more specific method can be used to confirm the diagnosis&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">A study carried out with Korean adolescents aged 10&#8211;18 identified cutoff points for the TyG index to predict metabolic syndrome&#44; using different diagnostic criteria for the syndrome&#46; The cutoffs ranged from 8&#46;41 to 8&#46;66&#44; with all sensitivity values higher than those of specificity&#44; thus suggesting&#44; as in the present study&#44; the use of the index for the screening of metabolic risk&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">2</span></a></p><p id="par0195" class="elsevierStylePara elsevierViewall">This study has limitations&#44; especially the fact that the cutoff point of the TyG index is specific for the assessed sample&#44; which impairs the extrapolation of results and its use in other populations&#46; Thus&#44; it is necessary to conduct multicenter studies with children to establish cutoff points for the TyG index&#44; considering different ethnicities&#46; However&#44; this result is still of great scientific relevance&#44; since it is the first aimed at a specific age group&#44; which can be used as a starting point for future studies&#46;</p><p id="par0200" class="elsevierStylePara elsevierViewall">In conclusion&#44; the present study identified that total and central body adiposity and a shorter daily time spent in active activities were positively associated with IR&#44; assessed by the TyG index in children aged 4&#8211;7 years&#44; indicating the importance of adopting healthy lifestyle habits&#44; such as regular practice of physical activity and adequate nutrition since childhood&#44; as well as the maintenance of an adequate nutritional status&#44; since body adiposity and lifestyle are associated with cardiovascular risk throughout life&#46; Additionally&#44; the TyG cutoff point of 7&#46;88 was identified&#44; which can be analyzed for future use in screening for IR risk and the associated chronic diseases in this population&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Funding</span><p id="par0205" class="elsevierStylePara elsevierViewall">Funda&#231;&#227;o de Amparo &#224; Pesquisa do Estado de Minas Gerais &#8211; <span class="elsevierStyleGrantSponsor" id="gs1">Fapemig</span>&#46; Process number&#58; Fapemig 02055-13&#46; Conselho Nacional de Desenvolvimento Cient&#237;fico e Tecnol&#243;gico &#8211; <span class="elsevierStyleGrantSponsor" id="gs2">CNPq</span>&#46; Process number&#58; CNPQ 485124&#47;2011-4&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conflicts of interest</span><p id="par0210" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest&#46;</p></span></span>"
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              "titulo" => "Conclusion"
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        1 => array:2 [
          "identificador" => "xpalclavsec1094998"
          "titulo" => "Keywords"
        ]
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          "identificador" => "xres1170075"
          "titulo" => "Resumo"
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            0 => array:2 [
              "identificador" => "abst0025"
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            1 => array:2 [
              "identificador" => "abst0030"
              "titulo" => "M&#233;todos"
            ]
            2 => array:2 [
              "identificador" => "abst0035"
              "titulo" => "Resultados"
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            3 => array:2 [
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              "titulo" => "Conclus&#227;o"
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        3 => array:2 [
          "identificador" => "xpalclavsec1094999"
          "titulo" => "Palavras-chave"
        ]
        4 => array:2 [
          "identificador" => "sec0005"
          "titulo" => "Introduction"
        ]
        5 => array:3 [
          "identificador" => "sec0010"
          "titulo" => "Methods"
          "secciones" => array:6 [
            0 => array:2 [
              "identificador" => "sec0015"
              "titulo" => "Design and sample"
            ]
            1 => array:2 [
              "identificador" => "sec0020"
              "titulo" => "Body adiposity"
            ]
            2 => array:2 [
              "identificador" => "sec0025"
              "titulo" => "Insulin resistance &#40;IR&#41;"
            ]
            3 => array:2 [
              "identificador" => "sec0030"
              "titulo" => "Dietary patterns"
            ]
            4 => array:2 [
              "identificador" => "sec0035"
              "titulo" => "Socio-demographic&#44; lifestyle&#44; and breastfeeding variables"
            ]
            5 => array:2 [
              "identificador" => "sec0040"
              "titulo" => "Data analysis"
            ]
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        ]
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          "identificador" => "sec0045"
          "titulo" => "Results"
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        7 => array:2 [
          "identificador" => "sec0050"
          "titulo" => "Discussion"
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        8 => array:2 [
          "identificador" => "sec0055"
          "titulo" => "Funding"
        ]
        9 => array:2 [
          "identificador" => "sec0060"
          "titulo" => "Conflicts of interest"
        ]
        10 => array:2 [
          "identificador" => "xack399891"
          "titulo" => "Acknowledgements"
        ]
        11 => array:1 [
          "titulo" => "References"
        ]
      ]
    ]
    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2017-05-08"
    "fechaAceptado" => "2017-12-15"
    "PalabrasClave" => array:2 [
      "en" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1094998"
          "palabras" => array:4 [
            0 => "TyG index"
            1 => "Adiposity"
            2 => "Lifestyle"
            3 => "Children"
          ]
        ]
      ]
      "pt" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palavras-chave"
          "identificador" => "xpalclavsec1094999"
          "palabras" => array:4 [
            0 => "&#205;ndice TyG"
            1 => "Adiposidade"
            2 => "Estilo de vida"
            3 => "Crian&#231;as"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To investigate the factors associated with insulin resistance in children aged 4&#8211;7 years&#44; and to identify the cutoff point of the triglyceride-glucose index for the prediction of insulin resistance in this population&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A cross-sectional study was conducted with 403 children from a retrospective cohort&#46; Insulin resistance was also evaluated in a sub-sample using the HOMA index&#46; Four indicators of body adiposity were assessed&#58; body mass index&#44; waist-to-height ratio&#44; and the percentages of total and central body fat&#46; Food habits were evaluated by the identification of dietary patterns&#44; using principal component analysis&#46; Information was also collected on lifestyle&#44; socioeconomic status&#44; and breastfeeding time&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The median index observed in the sample was 7&#46;77&#44; which did not differ between the genders&#46; The shorter the time spent in active activities&#44; the higher the triglyceride-glucose value&#59; and increase in the values of body adiposity indicators was positively associated with triglyceride-glucose&#46; The cutoff point with the best balance between sensitivity and specificity values was 7&#46;88 &#40;AUC<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;63&#44; 95&#37; CI&#58; 0&#46;51&#8211;0&#46;74&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The present study identified that total and central body adiposity and shorter time spent in lively activities was positively associated with insulin resistance&#44; evaluated through the triglyceride-glucose index&#46; The cutoff point of 7&#46;88 may be used in this population for insulin resistance risk screening&#44; but caution is required when using it in other populations&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Objective"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Methods"
          ]
          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Results"
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          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Conclusion"
          ]
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      ]
      "pt" => array:3 [
        "titulo" => "Resumo"
        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Investigar os fatores associados &#224; resist&#234;ncia &#224; insulina em crian&#231;as de 4 a 7 anos&#44; e identificar o ponto de corte do &#237;ndice triglicer&#237;deos-glicemia &#40;TyG&#41; para predi&#231;&#227;o da RI nessa popula&#231;&#227;o&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudo transversal&#44; com 403 crian&#231;as pertencentes a uma coorte retrospectiva&#46; A resist&#234;ncia &#224; insulina foi avaliada pelo &#237;ndice triglicer&#237;deos-glicemia e tamb&#233;m pelo &#237;ndice HOMA&#44; este em uma subamostra&#46; Avaliou-se quatro indicadores de adiposidade corporal&#58; o &#237;ndice de massa corporal&#44; a rela&#231;&#227;o cintura-estatura e os percentuais de gordura corporal total e central&#46; O h&#225;bito alimentar foi avaliado pela identifica&#231;&#227;o dos padr&#245;es alimentares&#44; utilizando-se a an&#225;lise de componentes principais&#46; Foram coletadas tamb&#233;m informa&#231;&#245;es sobre estilo de vida&#44; condi&#231;&#227;o socioecon&#244;mica e tempo de aleitamento materno&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">A mediana observada do &#237;ndice triglicer&#237;deos-glicemia na amostra foi de 7&#44;77 e n&#227;o diferiu entre os sexos&#46; Quanto menor o tempo di&#225;rio em atividades ativas&#44; maior o valor de triglicer&#237;deos-glicemia&#59; e o aumento nos valores dos indicadores de adiposidade corporal associou-se positivamente com o triglicer&#237;deos-glicemia&#46; O ponto de corte com melhor equil&#237;brio entre os valores de sensibilidade e especificidade foi o de 7&#44;88 &#40;AUC &#61; 0&#44;63&#59; IC 95&#37; 0&#44;51 - 0&#44;74&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclus&#227;o</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">O presente estudo identificou que a adiposidade corporal total e central e o menor tempo di&#225;rio em atividades ativas associou-se positivamente com a resist&#234;ncia &#224; insulina&#44; avaliada pelo &#237;ndice triglicer&#237;deos-glicemia&#46; O ponto de corte de 7&#44;88 pode ser utilizado nessa popula&#231;&#227;o para triagem do risco de resist&#234;ncia &#224; insulina&#44; mas &#233; necess&#225;rio cautela na sua utiliza&#231;&#227;o em outras popula&#231;&#245;es&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Objetivo"
          ]
          1 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "M&#233;todos"
          ]
          2 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclus&#227;o"
          ]
        ]
      ]
    ]
    "NotaPie" => array:2 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Please cite this article as&#58; Vieira-Ribeiro SA&#44; Fonseca PC&#44; Andreoli CS&#44; Ribeiro AQ&#44; Hermsdorff HH&#44; Pereira PF&#44; et al&#46; The TyG index cutoff point and its association with body adiposity and lifestyle in children&#46; J Pediatr &#40;Rio J&#41;&#46; 2019&#59;95&#58;217&#8211;23&#46;</p>"
      ]
      1 => array:2 [
        "etiqueta" => "&#9734;&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0040">Study conducted at Universidade Federal de Vi&#231;osa &#40;UFV&#41;&#44; Vi&#231;osa&#44; MG&#44; Brazil&#46;</p>"
      ]
    ]
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      0 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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        "detalles" => array:1 [
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            "identificador" => "at1"
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        "tabla" => array:2 [
          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Extraction method&#58; principal component analysis&#46; Varimax rotation with Kaiser normalization&#46;</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Values in bold indicate factorial loads<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>&#8805;0&#46;25&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Foods&#47;groups&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Dietary patterns</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Traditional&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Non-healthy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Milk and chocolate milk&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Snacks&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Healthy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Milk and dairy products&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;038&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;234&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;738</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;164&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;018&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Chocolate milk and sugar&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;856</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;050&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Coffee and teas&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;234&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;502</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;252</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;181&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Butter and margarine&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;194&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;182&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;573</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;027&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Breads&#44; cakes and cookies&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;032&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;703</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;091&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Cream&#8722;filled sandwich cookies&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;111&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;273</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;105&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;381</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Beans&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;684</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;159&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;102&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;110&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">White rice&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;749</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;004&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;144&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;043&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Green vegetables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;499</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;073&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;178&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;256&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Vegetables and legumes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;371&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;055&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;433</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Roots&#44; porridge&#44; and flour&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;381</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;080&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;204&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fruits&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;125&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;114&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;115&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;273</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;532</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Natural juice&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;132&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;620</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Artificial juice and soft drinks&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;127&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;755</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;020&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;083&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Meats&#44; fish&#44; and eggs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;408</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;329&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;093&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;142&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fried food&#44; snacks&#44; and processed meats&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;088&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;631</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;106&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;067&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Sweets and candy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;477</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;144&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;443&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Broth and soups&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;090&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;334</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;306</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Pasta&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;052&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;151&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;072&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;458</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;027&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Explained variance &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total of explained variance &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Dietary patterns and factorial loads of food groups consumed by children aged 4&#8211;7 years&#46;</p>"
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">TyG&#44; triglyceride-glucose index&#59; BRL&#44; Brazilian reals&#59; BMI&#44; body mass index&#59; WHtR&#44; waist-to-height ratio&#59; EBF&#44; exclusive breastfeeding&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Explanatory variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">TyG index &#40;response variable&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">adj</span><a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">d</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age &#40;months&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;001 to 0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;002 to 0&#46;004&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Time of EBF &#40;months&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;016 to 0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Per capita</span> income &#40;BRL&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;000 to 0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;000 to 0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Screen time &#40;h&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;007 to 0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Time in active activities &#40;h&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;032<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;060 to &#8722;0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;030<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;055 to &#8722;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Traditional&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;033 to 0&#46;047&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Non-healthy&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;042<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;002 to 0&#46;082&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;012 to 0&#46;068&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Milk and chocolate milk&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;008 to 0&#46;071&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;008 to 0&#46;071&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Snack&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;011&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Cutoff points&#44; sensitivity&#44; and specificity of the Tyg index for insulin resistance prediction in children aged 4&#8211;7 years&#46;</p>"
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    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
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                          "etal" => true
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                0 => array:2 [
                  "contribucion" => array:1 [
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                            0 => "A&#46;C&#46; Vasques"
                            1 => "F&#46;S&#46; Novaes"
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            7 => array:3 [
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              "etiqueta" => "8"
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                  "contribucion" => array:1 [
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                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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Original article
The TyG index cutoff point and its association with body adiposity and lifestyle in children
Ponto de corte do índice TyG e sua associação com a adiposidade corporal e estilo de vida em crianças
Sarah A. Vieira-Ribeiroa,
Corresponding author
sarahvieiraufv@gmail.com

Corresponding author.
, Poliana C.A. Fonsecaa, Cristiana S. Andreolia, Andréia Q. Ribeirob, Helen H.M. Hermsdorffb, Patrícia F. Pereirab, Silvia E. Prioreb, Sylvia C.C. Franceschinib
a Universidade Federal de Viçosa (UFV), Viçosa, MG, Brazil
b Universidade Federal de Viçosa (UFV), Departamento de Nutrição e Saúde, Viçosa, MG, Brazil
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      "pt" => array:1 [
        "titulo" => "Ponto de corte do &#237;ndice TyG e sua associa&#231;&#227;o com a adiposidade corporal e estilo de vida em crian&#231;as"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Metabolic syndrome &#40;MS&#41;&#44; characterized by the concomitant presence of insulin resistance &#40;IR&#41; and other metabolic alterations&#44; such as obesity&#44; dyslipidemias and arterial hypertension&#44; has been shown to be highly prevalent in children&#44; especially in those with excess body fat&#46;<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">1&#44;2</span></a> This syndrome is known to be associated with a higher risk of developing cardiovascular diseases and tends to persist into adulthood&#44; but its definition in children remains controversial&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">IR&#44; the main indicator used in the diagnosis of MS&#44; is characterized by reduced glucose uptake by the cells for a given insulin concentration&#46; This syndrome has been identified as a public health problem&#44; including in childhood&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;4</span></a> Studies have shown a strong association between IR and excess body adiposity&#44; mainly in the central region&#44; since the accumulation of intramuscular lipids from the entry of long-chain fatty acid into the cells inhibits the translocation of the glucose transporter &#40;GLUT-4&#41;&#44; reducing glucose uptake by the cells&#44; which favors peripheral resistance to insulin action&#46;<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">4&#44;5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">There are several methods for the diagnosis of IR&#44; but biomolecular evaluations of insulin receptors and post-receptors and the euglycemic-hyperinsulinemic clamp test&#44; considered the &#8220;gold standard&#44;&#8221; are expensive and not easily accessible for most of the population&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">6&#44;7</span></a> The Homeostasis Model Assessment &#40;HOMA&#41; method has been widely used in studies for the diagnosis of IR and has been validated for children&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">8</span></a> However&#44; to calculate the HOMA index&#44; it is necessary to measure serum insulin levels&#44; which in most cases is not part of the routine assessment in the health services&#44; especially in the pediatric population&#44; which makes it difficult to use this index for identification of IR in this population&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Recently&#44; the TyG index &#40;the product of the serum triglyceride concentration and fasting glycemia&#41; has been used in studies to evaluate IR in adults<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">7&#44;9&#44;10</span></a> and adolescents&#44;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">2&#44;11</span></a> demonstrating good discriminatory power for the diagnosis of IR&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">No studies were identified that tested the TyG index in preschoolers and schoolchildren&#46; Moreover&#44; there was a scarcity of studies evaluating factors other than adiposity that may be associated with IR in children&#44; such as dietary patterns and lifestyle&#46; With the identification of the factors associated with IR in childhood&#44; early intervention can be undertaken&#44; aimed to reduce the risk of cardiovascular diseases throughout life and&#44; consequently&#44; reducing public health expenditures&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Considering these facts&#44; the aim of this study was to investigate the factors associated with IR in children aged 3&#8211;7 years and to identify the TyG index cutoff point used for IR prediction in this population&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Design and sample</span><p id="par0035" class="elsevierStylePara elsevierViewall">This was a cross-sectional study&#44; conducted with children from a retrospective birth cohort at the only maternity hospital in the municipality of Vi&#231;osa&#44; state of Minas Gerais&#44; Brazil&#46; The children were followed by the Lactation Support Program &#40;Programa de Apoio &#224; Lacta&#231;&#227;o &#91;PROLAC&#93;&#41; during the first year of life and were reassessed at age of 4&#8211;7 years&#46; PROLAC is a program of Universidade Federal de Vi&#231;osa in partnership with the Human Milk Bank of the municipality&#46; Its main activities are providing guidance to mothers in the postpartum period with the aim to promote breastfeeding&#44; as well as nutritional care for children in their first year of life and for their mothers&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Based on information collected from the PROLAC care records and considering two inclusion criteria &#40;presence of identification data that allowed locating the children and date of birth compatible with age between 4 and 7 years at the time of the study&#41;&#44; 669 children were considered eligible for the study&#46; Among those considered eligible to participate&#44; 176 were not located &#40;change of address&#41; after at least three attempts to locate the children through home visits&#44; 75 were not authorized by parents&#47;guardians to participate or did not complete all stages of the study&#44; and eight had problems that prevented their participation&#46; Moreover&#44; eight children were excluded as they had incomplete food consumption data and&#47;or biochemical tests&#46; Thus&#44; the present study sample consisted of 402 children&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The study was approved by the Human Research Ethics Committee of Universidade Federal de Vi&#231;osa &#40;Ref&#46; No&#46; 892476&#47;2014&#41; and the norms regulating research involving human beings were adopted&#44; according to the National Health Council &#40;resolution No&#46; 466&#47;2012&#41;&#46; The parents or guardians of all children included in the study signed the Informed Consent&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Body adiposity</span><p id="par0050" class="elsevierStylePara elsevierViewall">The adiposity indicators evaluated were body mass index &#40;BMI&#41; and total body fat&#44; which estimate total adiposity&#59; and the waist-to-height ratio &#40;WHtR&#41; and central fat&#44; which estimate the risk associated with abdominal adiposity&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Weight was measured on an electronic digital scale with a capacity of 150<span class="elsevierStyleHsp" style=""></span>kg and accuracy of 10<span class="elsevierStyleHsp" style=""></span>g&#44; whereas height was measured with a vertical stadiometer fixed to the wall&#44; with a 2-m extension&#44; divided in centimeters and subdivided in millimeters&#46; BMI for age &#40;BMI&#47;A&#41; was calculated as <span class="elsevierStyleItalic">Z</span>-score according to gender&#44; using the World Health Organization reference&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">12</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">Waist circumference was measured at the level of the umbilicus&#44; using a 2-m flexible and inelastic measuring tape&#44; divided into centimeters and subdivided into millimeters&#46; The measurements were performed in triplicate&#44; with the two closest ones being used to calculate the mean&#46; The waist-to-height ratio &#40;WHtR&#41; was calculated based on the ratio of the waist circumference &#40;cm&#41; and the height &#40;cm&#41;&#44; considering risk values those &#62;0&#46;5&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">13</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Body composition assessment was performed using dual energy X-ray absorptiometry &#40;DXA&#41;&#44; and the results of the percentage of total and central fat were used for the analyses&#46; All evaluations were performed at the UFV Health Department&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Insulin resistance &#40;IR&#41;</span><p id="par0070" class="elsevierStylePara elsevierViewall">Blood collection was performed at the clinical analysis laboratory of the Health Department of the UFV&#44; after a 12-h fast&#46; Serum triglyceride and fasting blood glucose levels were measured&#46; Additionally&#44; fasting insulin was evaluated in a subsample of study children &#40;35&#37;&#44; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>141&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">To evaluate insulin resistance &#40;IR&#41;&#44; the TyG index was calculated as&#58; ln&#91;fasting triglycerides &#40;mg&#47;dL&#41;<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>fasting glucose &#40;mg&#47;dL&#41;&#47;2&#93;&#46;<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">9&#44;11</span></a> The IR estimate was also obtained in a subsample of 141 children through the Homeostasis Model Assessment for Insulin Resistance &#40;HOMA-IR&#41;&#44; which is the product of fasting insulin &#40;&#956;U&#47;mL&#41; and fasting glycemia &#40;mmol&#47;L&#41;&#44; divided by 22&#46;5&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">14</span></a> Insulin resistance was defined when the HOMA-IR value was higher than the 90th percentile of the sample&#46;<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">1&#44;4</span></a> This method was adopted as the reference to determine the TyG index cutoff point&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Dietary patterns</span><p id="par0080" class="elsevierStylePara elsevierViewall">To evaluate study children&#39;s food intake&#44; parents or guardians were asked to complete three food records on non-consecutive days&#44; one of which was during the weekend&#46; All records were checked and reviewed by the investigators&#44; along with parents&#47;guardians&#44; to reduce reporting biases&#46; The data were entered and processed using a software &#40;Dietpro<span class="elsevierStyleSup">&#174;</span> software&#44; version 5i&#44; MG&#44; Brazil&#41;&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">In the identification of food patterns&#44; an <span class="elsevierStyleItalic">a posteriori</span> statistical method was applied through principal component analysis &#40;PCA&#41;&#46; Before PCA was performed&#44; sample size adequacy and analysis applicability were evaluated&#44; estimating the Kaiser&#8211;Meyer&#8211;Olkin coefficient &#40;KMO<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;561&#41; and the Bartlett sphericity test &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; For a better interpretation of the factors&#44; varimax orthogonal rotation was applied&#44; and the number of factors&#47;components to be retained was determined based on the plot of Cattell&#39;s scree test&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Foods&#47;groups with factorial loads<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>&#8805;0&#46;25 were considered strongly associated with the component&#44; providing better information for the identification of a food pattern&#46; For pattern denomination&#44; the characteristics of the foods&#47;groups that contributed the most to each component were considered&#44; as well as the nomenclatures used in other studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">15&#44;16</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">After the identification of the dietary patterns&#44; the factor scores were calculated for each child in the study&#59; thus&#44; each one had a factorial score in all identified patterns&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Socio-demographic&#44; lifestyle&#44; and breastfeeding variables</span><p id="par0100" class="elsevierStylePara elsevierViewall">A semi-structured questionnaire was applied to the child&#39;s parent&#47;guardian to obtain sociodemographic information&#44; such as age and <span class="elsevierStyleItalic">per capita</span> income&#46; The information on life habits was obtained by applying a questionnaire adapted from Andaki&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">17</span></a> The assessed variables were&#58; daily screen time &#40;television&#44; computer&#44; games&#41; and daily time spent in active activities &#40;running&#44; cycling&#44; playing ball&#41;&#46; Data on exclusive breastfeeding time &#40;EBF&#41; were obtained from the PROLAC records&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Data analysis</span><p id="par0105" class="elsevierStylePara elsevierViewall">Descriptive analysis of the data was performed through measures of frequency distribution&#44; central tendency&#44; and dispersion&#46; The distribution of variables was assessed using the Shapiro&#8211;Wilks normality test&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Linear regression was used to investigate the factors associated with IR in the study children&#44; estimating the regression coefficient and the confidence interval&#46; In the bivariate analysis&#44; variables with a value of <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;20 were considered for inclusion in the multiple model&#46; The analyses were performed using a software &#40;Stata Statistical Software&#58; Release 13&#46; College Station&#44; TX&#44; USA&#41; and the statistical significance considered was <span class="elsevierStyleItalic">&#945;</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>5&#37;&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">To identify the TyG index cutoff point for IR prediction in the study children&#44; the receiver operating characteristic &#40;ROC&#41; curve was analyzed&#44; considering the cutoff point with the best balance between sensitivity and specificity values&#46; HOMA-IR was the reference method used for identification of the TyG index cutoff point&#46; The analysis of the ROC curve was performed using a software &#40;MedCalc<span class="elsevierStyleSup">&#174;</span> software&#44; Belgium&#41;&#46;</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0120" class="elsevierStylePara elsevierViewall">Most study children were males &#40;55&#37;&#41;&#44; with a median age of 73 months&#46; There was no difference in TyG index between genders &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;355&#41;&#46; The prevalence of excess weight &#40;overweight or obesity&#41; and alterations in the WHtR index was 25&#46;6&#37; and 26&#46;8&#37;&#44; respectively &#40;data not shown&#41;&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">As for food consumption&#44; five food patterns were identified among the study children through the PCA&#44; which explained 42&#46;3&#37; of the data variance &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; The food patterns were called &#8220;Traditional&#8221; &#40;consisting of foods&#47;preparations typical of Brazilian food&#44; such as&#58; white rice&#44; beans&#44; vegetables&#44; roots&#44; porridge and flour&#44; and meats&#44; fish&#44; and eggs&#41;&#59; &#8220;Unhealthy&#8221; &#40;represented mainly by foods&#47;groups with high sugar and fat content&#58; artificial juice and soft drinks&#44; fried foods&#44; snacks&#44; processed meats&#44; sweets and cream-filled cookies&#41;&#59; &#8220;Milk and chocolate milk&#8221; &#40;mainly represented by milk and dairy products and chocolate powder&#41;&#59; &#8220;Snacks&#8221; &#40;consisting mainly of typical bakery foods&#58; breads&#44; cakes and cookies&#44; butter and margarine&#44; coffee and teas&#41;&#59; &#8220;Healthy&#8221; &#40;natural juice&#44; fruits&#44; vegetables&#44; and broth&#47;soups&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">In the simple linear regression analysis&#44; it was observed that the higher adherence to the &#8220;Unhealthy&#8221; food pattern was positively associated with the TyG index&#59; as for the daily time spent in active activities&#44; it was negatively associated with the index&#59; that is&#44; the less active the child&#44; the higher the TyG value&#46; Moreover&#44; with each increase of one unit in the four indicators of body adiposity assessed&#44; the higher the TyG values observed in the study children &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">In the multiple model&#44; the variables that remained independently associated with the TyG index were variables of daily time spent in active activities and body adiposity&#46; The lower the daily time spent in active activities&#44; the higher the TyG value&#59; and increase in BMI&#44; WHtR&#44; percentage of total&#44; and central fat was positively associated with TyG &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Of the TyG index cutoff points tested to predict IR in the study children&#44; the best balance between the sensitivity &#40;S&#41; and specificity &#40;Sp&#41; values was 7&#46;88 &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; Considering this cutoff point&#44; the prevalence of IR in the study children was 42&#46;3&#37; &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>170&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0145" class="elsevierStylePara elsevierViewall">In this study&#44; conducted with children aged 4&#8211;7 years from a retrospective cohort&#44; it was observed that the increase in total and central body adiposity and a shorter daily time spent in active activities were positively associated with IR&#44; evaluated by the TyG index&#46; The association between adiposity and IR has been described in other studies with children<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">3&#44;18&#44;19</span></a>&#59; however&#44; methodological differences&#44; mainly regarding the method used and the cutoff points for the diagnosis of IR&#44; make it difficult to compare the results&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">A recent study carried out with Japanese schoolchildren found that increased abdominal adiposity&#44; as assessed by the WHtR&#44; was associated with an increased prevalence of IR&#44; detected by the HOMA index&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">20</span></a> Nightingale et al&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">18</span></a> performed a study of children from different regions of the world&#44; and similar to the present study&#44; evaluated body and central adiposity according to different indicators&#46; The authors observed a positive association between all indicators of adiposity and IR&#44; when evaluated by the HOMA index&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">In Brazil&#44; Ferreira et al&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">1</span></a> carried out a cross-sectional study with children and adolescents aged 7&#8211;11 years&#44; and found that BMI was positively associated with IR&#44; as assessed by the HOMA index&#46; The present authors did not identify any national studies that evaluated IR only in children &#40;younger than 10 years&#41;&#44; without including adolescents&#59; they understand the importance of studying metabolic alterations in prepubertal children&#44; without including those already at puberty&#44; in which the effects of steroid hormones can be already observed&#46; Mainly in relation to IR and MS frequency&#44; there is evidence that they increase with puberty&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">21</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">Peplies et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> in a longitudinal study carried out with children aged 3&#8211;10 years living in eight European countries&#44; found a positive association between body adiposity &#40;assessed by BMI and waist circumference&#41;&#44; sedentary behavior&#44; and presence of IR&#46; These findings corroborate those observed in the present study&#44; when&#44; after adjusting for other variables&#44; the longer daily time spent in active activities was associated with lower TyG index values&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Sedentary behavior&#44; which is increasingly observed among children&#44; has been considered an important behavioral risk factor for the development of metabolic alterations&#44; such as IR and dyslipidemia&#46;<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">22&#44;23</span></a> Thus&#44; it is crucial to encourage in regular physical activity practice and discourage sedentary behavior at this phase&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">The prevalence of excess weight &#40;as measured by BMI&#41; and central adiposity &#40;when using the WHtR&#41; were high in the study children&#44; around 25&#37;&#44; similar to that observed in other studies with a similar age group<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">16&#44;24</span></a> and also according to the Family Budget Survey carried out in Brazil&#44; where the prevalence of excess weight in boys and girls aged 5&#8211;9 years was 34&#46;8&#37; and 32&#46;0&#37;&#44; respectively&#46;<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">25</span></a> In children&#44; obesity&#44; especially abdominal obesity&#44; seems to be an important trigger for insulin resistance&#44;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">26</span></a> which makes obese children a risk group for metabolic alterations&#44; reinforcing the need to define clinical and laboratory indicators for diagnosis in this group&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">27</span></a> Studies have shown that the combination of BMI and waist circumference improved the prediction of cardiometabolic risk factors in children&#46;<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">22&#44;28</span></a> Thus&#44; for an early and more reliable diagnosis of adiposity alterations in children&#44; more than one indicator should be used whenever possible&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">In the bivariate analysis&#44; the &#8220;Unhealthy&#8221; dietary pattern was positively associated with the TyG index&#59; that is&#44; children with a higher intake of foods rich in simple sugars and fat had a higher risk of IR&#46; However&#44; after adjusting for lifestyle and adiposity variables&#44; this association was not maintained&#44; due to the strong association between body adiposity and IR&#46; As in the present study&#44; Peplies et al&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a> also found no association between the consumption of sugar-rich foods and IR in children &#40;assessed by the HOMA index&#41; after adjustment for nutritional status&#46; However&#44; it is a consensus that the adoption of a healthy dietary pattern&#44; characterized by the consumption of fruits&#44; vegetables&#44; lean meats&#44; and low intake of sugars and fats&#44; is a determining factor for a lower risk of chronic diseases such as obesity&#44; metabolic syndrome&#44; and cardiovascular diseases&#46; This beneficial effect can be explained&#44; at least in part&#44; by the diet&#39;s modulating role on biomarkers of insulin sensitivity and atherogenesis&#44; as well as inflammation and endothelial function&#46;<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">29&#44;30</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">Another relevant result of the study is the cutoff point established for children aged 4&#8211;7 years&#46; In the ROC curve analysis&#44; the AUC of 63&#37; indicated a moderate accuracy of the TyG index to identify IR among the study children&#46; However&#44; it is noteworthy that there is no consensus regarding the use of the HOMA index &#40;reference method used&#41; in the assessed age group&#44; especially in relation to the best cutoff point to be used&#44;<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">18&#44;27</span></a> which may have influenced the accuracy of the index test&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">The cutoff point higher than 7&#46;88 was the one that showed the best balance between sensitivity &#40;80&#46;0&#37;&#41; and specificity &#40;53&#46;2&#37;&#41;&#46; The cutoff point with a higher sensitivity value in relation to the specificity was chosen to use the TyG index for early identification of IR&#44; so children with a TyG index higher than 7&#46;88 should be considered as having a higher risk for IR development&#44; when compared to those with lower TyG values&#44; and not as already showing IR&#46; If IR risk is identified by TyG&#44; another more precise and more specific method can be used to confirm the diagnosis&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">A study carried out with Korean adolescents aged 10&#8211;18 identified cutoff points for the TyG index to predict metabolic syndrome&#44; using different diagnostic criteria for the syndrome&#46; The cutoffs ranged from 8&#46;41 to 8&#46;66&#44; with all sensitivity values higher than those of specificity&#44; thus suggesting&#44; as in the present study&#44; the use of the index for the screening of metabolic risk&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">2</span></a></p><p id="par0195" class="elsevierStylePara elsevierViewall">This study has limitations&#44; especially the fact that the cutoff point of the TyG index is specific for the assessed sample&#44; which impairs the extrapolation of results and its use in other populations&#46; Thus&#44; it is necessary to conduct multicenter studies with children to establish cutoff points for the TyG index&#44; considering different ethnicities&#46; However&#44; this result is still of great scientific relevance&#44; since it is the first aimed at a specific age group&#44; which can be used as a starting point for future studies&#46;</p><p id="par0200" class="elsevierStylePara elsevierViewall">In conclusion&#44; the present study identified that total and central body adiposity and a shorter daily time spent in active activities were positively associated with IR&#44; assessed by the TyG index in children aged 4&#8211;7 years&#44; indicating the importance of adopting healthy lifestyle habits&#44; such as regular practice of physical activity and adequate nutrition since childhood&#44; as well as the maintenance of an adequate nutritional status&#44; since body adiposity and lifestyle are associated with cardiovascular risk throughout life&#46; Additionally&#44; the TyG cutoff point of 7&#46;88 was identified&#44; which can be analyzed for future use in screening for IR risk and the associated chronic diseases in this population&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Funding</span><p id="par0205" class="elsevierStylePara elsevierViewall">Funda&#231;&#227;o de Amparo &#224; Pesquisa do Estado de Minas Gerais &#8211; <span class="elsevierStyleGrantSponsor" id="gs1">Fapemig</span>&#46; Process number&#58; Fapemig 02055-13&#46; Conselho Nacional de Desenvolvimento Cient&#237;fico e Tecnol&#243;gico &#8211; <span class="elsevierStyleGrantSponsor" id="gs2">CNPq</span>&#46; Process number&#58; CNPQ 485124&#47;2011-4&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conflicts of interest</span><p id="par0210" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest&#46;</p></span></span>"
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          "titulo" => "Introduction"
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              "identificador" => "sec0015"
              "titulo" => "Design and sample"
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              "identificador" => "sec0020"
              "titulo" => "Body adiposity"
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              "identificador" => "sec0025"
              "titulo" => "Insulin resistance &#40;IR&#41;"
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              "titulo" => "Dietary patterns"
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              "identificador" => "sec0035"
              "titulo" => "Socio-demographic&#44; lifestyle&#44; and breastfeeding variables"
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          "titulo" => "Acknowledgements"
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    "pdfFichero" => "main.pdf"
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    "fechaRecibido" => "2017-05-08"
    "fechaAceptado" => "2017-12-15"
    "PalabrasClave" => array:2 [
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1094998"
          "palabras" => array:4 [
            0 => "TyG index"
            1 => "Adiposity"
            2 => "Lifestyle"
            3 => "Children"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palavras-chave"
          "identificador" => "xpalclavsec1094999"
          "palabras" => array:4 [
            0 => "&#205;ndice TyG"
            1 => "Adiposidade"
            2 => "Estilo de vida"
            3 => "Crian&#231;as"
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    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To investigate the factors associated with insulin resistance in children aged 4&#8211;7 years&#44; and to identify the cutoff point of the triglyceride-glucose index for the prediction of insulin resistance in this population&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A cross-sectional study was conducted with 403 children from a retrospective cohort&#46; Insulin resistance was also evaluated in a sub-sample using the HOMA index&#46; Four indicators of body adiposity were assessed&#58; body mass index&#44; waist-to-height ratio&#44; and the percentages of total and central body fat&#46; Food habits were evaluated by the identification of dietary patterns&#44; using principal component analysis&#46; Information was also collected on lifestyle&#44; socioeconomic status&#44; and breastfeeding time&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The median index observed in the sample was 7&#46;77&#44; which did not differ between the genders&#46; The shorter the time spent in active activities&#44; the higher the triglyceride-glucose value&#59; and increase in the values of body adiposity indicators was positively associated with triglyceride-glucose&#46; The cutoff point with the best balance between sensitivity and specificity values was 7&#46;88 &#40;AUC<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;63&#44; 95&#37; CI&#58; 0&#46;51&#8211;0&#46;74&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The present study identified that total and central body adiposity and shorter time spent in lively activities was positively associated with insulin resistance&#44; evaluated through the triglyceride-glucose index&#46; The cutoff point of 7&#46;88 may be used in this population for insulin resistance risk screening&#44; but caution is required when using it in other populations&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Objective"
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          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Methods"
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            "titulo" => "Conclusion"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Investigar os fatores associados &#224; resist&#234;ncia &#224; insulina em crian&#231;as de 4 a 7 anos&#44; e identificar o ponto de corte do &#237;ndice triglicer&#237;deos-glicemia &#40;TyG&#41; para predi&#231;&#227;o da RI nessa popula&#231;&#227;o&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudo transversal&#44; com 403 crian&#231;as pertencentes a uma coorte retrospectiva&#46; A resist&#234;ncia &#224; insulina foi avaliada pelo &#237;ndice triglicer&#237;deos-glicemia e tamb&#233;m pelo &#237;ndice HOMA&#44; este em uma subamostra&#46; Avaliou-se quatro indicadores de adiposidade corporal&#58; o &#237;ndice de massa corporal&#44; a rela&#231;&#227;o cintura-estatura e os percentuais de gordura corporal total e central&#46; O h&#225;bito alimentar foi avaliado pela identifica&#231;&#227;o dos padr&#245;es alimentares&#44; utilizando-se a an&#225;lise de componentes principais&#46; Foram coletadas tamb&#233;m informa&#231;&#245;es sobre estilo de vida&#44; condi&#231;&#227;o socioecon&#244;mica e tempo de aleitamento materno&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">A mediana observada do &#237;ndice triglicer&#237;deos-glicemia na amostra foi de 7&#44;77 e n&#227;o diferiu entre os sexos&#46; Quanto menor o tempo di&#225;rio em atividades ativas&#44; maior o valor de triglicer&#237;deos-glicemia&#59; e o aumento nos valores dos indicadores de adiposidade corporal associou-se positivamente com o triglicer&#237;deos-glicemia&#46; O ponto de corte com melhor equil&#237;brio entre os valores de sensibilidade e especificidade foi o de 7&#44;88 &#40;AUC &#61; 0&#44;63&#59; IC 95&#37; 0&#44;51 - 0&#44;74&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclus&#227;o</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">O presente estudo identificou que a adiposidade corporal total e central e o menor tempo di&#225;rio em atividades ativas associou-se positivamente com a resist&#234;ncia &#224; insulina&#44; avaliada pelo &#237;ndice triglicer&#237;deos-glicemia&#46; O ponto de corte de 7&#44;88 pode ser utilizado nessa popula&#231;&#227;o para triagem do risco de resist&#234;ncia &#224; insulina&#44; mas &#233; necess&#225;rio cautela na sua utiliza&#231;&#227;o em outras popula&#231;&#245;es&#46;</p></span>"
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        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Please cite this article as&#58; Vieira-Ribeiro SA&#44; Fonseca PC&#44; Andreoli CS&#44; Ribeiro AQ&#44; Hermsdorff HH&#44; Pereira PF&#44; et al&#46; The TyG index cutoff point and its association with body adiposity and lifestyle in children&#46; J Pediatr &#40;Rio J&#41;&#46; 2019&#59;95&#58;217&#8211;23&#46;</p>"
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        "etiqueta" => "&#9734;&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0040">Study conducted at Universidade Federal de Vi&#231;osa &#40;UFV&#41;&#44; Vi&#231;osa&#44; MG&#44; Brazil&#46;</p>"
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Extraction method&#58; principal component analysis&#46; Varimax rotation with Kaiser normalization&#46;</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Values in bold indicate factorial loads<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>&#8805;0&#46;25&#46;</p>"
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                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Foods&#47;groups&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Dietary patterns</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Traditional&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Non-healthy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Milk and chocolate milk&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Snacks&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Healthy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Milk and dairy products&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;038&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;738</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;164&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;018&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Chocolate milk and sugar&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;856</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;028&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Coffee and teas&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Butter and margarine&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;194&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Breads&#44; cakes and cookies&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;032&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;703</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;091&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Cream&#8722;filled sandwich cookies&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;111&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;273</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;105&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;381</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Beans&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;684</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;159&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;102&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;110&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">White rice&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;749</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;004&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;144&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;043&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Green vegetables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;499</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;073&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;178&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;256&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Vegetables and legumes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;371&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;055&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;433</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Roots&#44; porridge&#44; and flour&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;381</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;080&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;204&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fruits&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;125&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;114&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;115&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;273</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;532</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Natural juice&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;132&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;620</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Artificial juice and soft drinks&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;127&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;755</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;020&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;083&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Meats&#44; fish&#44; and eggs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;408</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;329&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;093&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;142&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fried food&#44; snacks&#44; and processed meats&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;088&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;631</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;106&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;067&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Sweets and candy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;477</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;144&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;443&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Broth and soups&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;090&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;334</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">0&#46;306</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Pasta&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;052&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;151&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;072&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleBold">&#8722;0&#46;458</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;027&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Explained variance &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total of explained variance &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Dietary patterns and factorial loads of food groups consumed by children aged 4&#8211;7 years&#46;</p>"
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        "etiqueta" => "Table 2"
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">TyG&#44; triglyceride-glucose index&#59; BRL&#44; Brazilian reals&#59; BMI&#44; body mass index&#59; WHtR&#44; waist-to-height ratio&#59; EBF&#44; exclusive breastfeeding&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Explanatory variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">TyG index &#40;response variable&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">adj</span><a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">d</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age &#40;months&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;001 to 0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;002 to 0&#46;004&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Time of EBF &#40;months&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;016 to 0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Per capita</span> income &#40;BRL&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;000 to 0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;000 to 0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Screen time &#40;h&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;007 to 0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Time in active activities &#40;h&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;032<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;060 to &#8722;0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;030<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;055 to &#8722;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Traditional&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;033 to 0&#46;047&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Non-healthy&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;042<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;002 to 0&#46;082&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;012 to 0&#46;068&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Milk and chocolate milk&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;008 to 0&#46;071&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;008 to 0&#46;071&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Snack&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;011&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;029 to 0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#8220;Healthy&#8221; pattern&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;035<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;004 to 0&#46;075&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;027&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8722;0&#46;014 to 0&#46;068&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BMI &#40;<span class="elsevierStyleItalic">Z</span>-score&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;041<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;010 to 0&#46;073&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;010 to 0&#46;062&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">WHtR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;336<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;451 to 2&#46;220&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;191<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;279 to 2&#46;104&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Body fat &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;010<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;005 to 0&#46;015&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;010<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;002 to 0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Central fat &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;008<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;003 to 0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;014<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;001 to 0&#46;011&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Bivariate and multiple linear regression used to investigate factors associated with variation in the TyG index in children aged 4&#8211;7 years &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>402&#41;&#46;</p>"
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="char" valign="top">7&#46;74&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">80&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;9&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">53&#46;2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">73&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">57&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="char" valign="top">7&#46;96&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">66&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">58&#46;7&nbsp;\t\t\t\t\t\t\n
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            0 => array:3 [
              "identificador" => "tblfn0020"
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              "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Cutoff point with the best balance between sensitivity and specificity values&#44; adopting the &#8211; Homeostasis Model Assessment for Insulin Resistance &#40;HOMA-IR&#59; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>141&#41; &#8211; as the reference method&#46;</p> <p class="elsevierStyleNotepara" id="npar0030">TyG&#44; triglyceride-glucose index&#46;</p>"
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Cutoff points&#44; sensitivity&#44; and specificity of the Tyg index for insulin resistance prediction in children aged 4&#8211;7 years&#46;</p>"
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      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
          "bibliografiaReferencia" => array:30 [
            0 => array:3 [
              "identificador" => "bib0155"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Association of body mass index and insulin resistance with metabolic syndrome in Brazilian children"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "A&#46;P&#46; Ferreira"
                            1 => "O&#46;T&#46; N&#243;brega"
                            2 => "N&#46;M&#46; Fran&#231;a"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Arq Bras Cardiol"
                        "fecha" => "2009"
                        "volumen" => "93"
                        "paginaInicial" => "147"
                        "paginaFinal" => "153"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19838492"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            1 => array:3 [
              "identificador" => "bib0160"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The cutoff values of indirect indices for measuring insulin resistance for metabolic syndrome in Korean children and adolescents"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:5 [
                            0 => "J&#46;H&#46; Kim"
                            1 => "S&#46;H&#46; Park"
                            2 => "Y&#46; Kim"
                            3 => "M&#46; Im"
                            4 => "H&#46;S&#46; Han"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.6065/apem.2016.21.3.143"
                      "Revista" => array:6 [
                        "tituloSerie" => "Ann Pediatr Endocrinol Metab"
                        "fecha" => "2016"
                        "volumen" => "21"
                        "paginaInicial" => "143"
                        "paginaFinal" => "148"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27777906"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            2 => array:3 [
              "identificador" => "bib0165"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Metabolic syndrome in young children&#58; definitions and results of the IDEFICS study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "W&#46; Ahrens"
                            1 => "L&#46;A&#46; Moreno"
                            2 => "S&#46; M&#229;rild"
                            3 => "D&#46; Moln&#225;r"
                            4 => "A&#46; Siani"
                            5 => "S&#46; De Henauw"
                          ]
                        ]
                      ]
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Article information
ISSN: 00217557
Original language: English
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