Original Article
Body adiposity is associated with risk of high blood pressure in Portuguese schoolchildren
Adiposidade corporal está associada com o risco de pressão arterial elevada em escolares portugueses
Paulo Rogério Melo Rodriguesa,h,
, Rosangela Alves Pereirab, Augusta Gamac,h, Isabel Mourão Carvalhald, Helena Nogueirae,h, Vitor Rosado-Marquesf,h, Cristina Padezg,h
Autor para correspondência
a College of Nutrition, Federal University of Mato Grosso, Mato Grosso, Brazil
b Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
c Department of Animal Biology, Faculty of Sciences of the University of Lisbon, Portugal
d Research Center in Sport Science, Health and Human Development, Vila Real, Portugal
e Department of Geography, University of Coimbra, Portugal
f Tropical Research Institute, Lisbon, Portugal
g Department of Life Sciences, University of Coimbra, Portugal
h Research Center for Anthropology and Health, University of Coimbra, Portugal
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Brazil" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Department of Animal Biology, Faculty of Sciences of the University of Lisbon, Portugal" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Research Center in Sport Science, Health and Human Development, Vila Real, Portugal" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Department of Geography, University of Coimbra, Portugal" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Tropical Research Institute, Lisbon, Portugal" "etiqueta" => "f" "identificador" => "aff0030" ] 6 => array:3 [ "entidad" => "Department of Life Sciences, University of Coimbra, Portugal" "etiqueta" => "g" "identificador" => "aff0035" ] 7 => array:3 [ "entidad" => "Research Center for Anthropology and Health, University of Coimbra, Portugal" "etiqueta" => "h" "identificador" => "aff0040" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "pt" => array:1 [ "titulo" => "Adiposidade corporal está associada com o risco de pressão arterial elevada em escolares portugueses" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The growing childhood obesity epidemic<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">1</span></a> is concerning, especially because obese children may experience metabolic complications and are at high risk for the early development of conditions that are more commonly observed in adults,<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">2</span></a> particularly high blood pressure (HBP), changes in serum triglycerides and elevated fasting glucose.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The prevalence of childhood hypertension had been expected to be approximately 1-2%,<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">4</span></a> however, rates ranging from 3.0 to 15.9% have been observed in different scenarios,<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">5–19</span></a> and this rise is associated with increases in excess weight,<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">2,3,18,19</span></a> increased abdominal fat,<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">7,9–14,17</span></a> and unhealthy lifestyles.<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">9,10,15,20</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Additionally, hypertension in childhood has important implications for children's health, since it is commonly related to the development of other cardiovascular risk factors<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">3,21</span></a> and can persist into adulthood.<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">22,23</span></a> However, although early diagnosis of hypertension in children is of the utmost importance<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">24</span></a> and blood pressure (BP) measurement is a low-cost, noninvasive and relatively accurate procedure for identifying this condition,<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a> little is known about the risk factors associated with HBP in childhood.</p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of this study was to estimate the prevalence of HBP and its association with anthropometric indicators of adiposity in Portuguese schoolchildren.</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">Sampling method</span><p id="par0025" class="elsevierStylePara elsevierViewall">The present study used a subsample of the Portuguese Prevalence Study of Obesity in Childhood (PPSOC),<a class="elsevierStyleCrossRefs" href="#bib0330"><span class="elsevierStyleSup">26,27</span></a> a cross-sectional study carried out between March 2009 and January 2010 investigating a randomly selected sample from public and private schools in mainland Portugal. The study was designed to obtain a nationally representative sample of 3-10-year-old children living in mainland Portugal. The sampling design was stratified proportionally according to the age and gender of the children in each district. Details of the study design and sampling process can be found elsewhere.<a class="elsevierStyleCrossRefs" href="#bib0330"><span class="elsevierStyleSup">26,27</span></a> This study included a subsample of 1555 6-9-year-old children from the 18 districts in Portugal.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Data collection</span><p id="par0035" class="elsevierStylePara elsevierViewall">A questionnaire designed specifically for this research was applied to the children's parents and included questions on demographic and socioeconomic characteristics, lifestyle-related behaviors, and health and nutrition. A pilot test was conducted on a group of children similar to those in the study, and the questionnaire was revised based on the pilot results. To reduce the non-response rate, three visits were made to each school to examine previously absent students. Anthropometric and BP measurements were performed by a trained team using standard techniques.<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">25,28</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Blood pressure measurement and anthropometric variables</span><p id="par0040" class="elsevierStylePara elsevierViewall">BP was measured at three different time points after 5<span class="elsevierStyleHsp" style=""></span>min of rest in a private room, with the child sitting, using an automated sphygmomanometer (Omron M17) with an appropriately sized cuff for the child's arm size placed on their right arm. Three measurements of systolic (SBP) and diastolic (DBP) BP were taken with a 2-min interval between measurements.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Weight was measured using a digital scale accurate to 0.1<span class="elsevierStyleHsp" style=""></span>kg (Seca 770), and height was measured twice using a portable stadiometer accurate to 0.1<span class="elsevierStyleHsp" style=""></span>cm (Seca 217). Waist circumference (WC) was measured twice with a flexible non-stretching tape (Seca) at the midpoint between the anterior superior iliac crest and the lowest rib. Triceps, subscapular and suprailiac skinfold thicknesses were measured using a Holtain skinfold caliper (Holtain Ltd, Crymych, UK).</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Definitions of terms and groups</span><p id="par0050" class="elsevierStylePara elsevierViewall">BP was classified according to the normative tables of the US Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents.<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a> HBP was defined as SBP and/or DBP at or above the 95th percentile for age, gender and height on repeated measurement. For consistency with the Seventh Report of the US Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, BP between the 90th and 95th percentiles was classified as prehypertension.<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">29</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">Weight status was determined using body mass index (BMI), calculated as weight in kg divided by height in m squared, considering age- and gender-specific cut-off points for classifying weight status.<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">30</span></a> Body fat percentage (BFP) was estimated using the equations of Slaughter et al.<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">31</span></a> for the triceps and subscapular skinfolds. The WC values for the 75th percentile for age and gender were used because this limit has been associated with metabolic abnormalities and cardiovascular disease risk factors in children and adolescents.<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">32</span></a> Similarly, values for the 75th percentile for age and gender were used as the cut-off points for BFP.</p><p id="par0060" class="elsevierStylePara elsevierViewall">Although the three different adiposity indicators (BMI, WC, and BFP) are all associated with some degree of measurement error, each measure provides specific information regarding body fat mass.<a class="elsevierStyleCrossRefs" href="#bib0365"><span class="elsevierStyleSup">33,34</span></a> Thus, in this study, a principal component analysis was performed with exploratory factor analysis (EFA) to obtain a construct (i.e., a factor or a latent variable) for overall adiposity based on these three anthropometric indicators, similarly to the analysis proposed by Ledoux et al.<a class="elsevierStyleCrossRef" href="#bib0370"><span class="elsevierStyleSup">34</span></a> Principal component analysis using the three anthropometric indicators revealed a construct representing 91% of the shared variance, with a Cronbach's alpha of 0.88 and factor loadings of 0.96 for BMI, 0.95 for WC, and 0.94 for BFP; additionally, high communalities were observed (0.93, 0.91, and 0.89, respectively). This construct was termed the adiposity index and represents overall adiposity. Higher scores from the EFA were taken to indicate higher overall adiposity. Likewise, EFA can be used to calculate a score that weights highly correlated responses, parsimoniously representing the different variables analyzed.<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">33</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Parents’ weight status, used as a proxy to examine the effect of genetic characteristics on children's BP levels, was assessed by BMI according to the World Health Organization cut-off points<a class="elsevierStyleCrossRef" href="#bib0375"><span class="elsevierStyleSup">35</span></a> and based on self-reported weight and height values.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Lifestyle-related behaviors</span><p id="par0070" class="elsevierStylePara elsevierViewall">Physical activity during leisure time was assessed according to type, frequency and duration of each activity, and the weekly time spent in each activity was estimated by multiplying the daily time (in min) by the weekly frequency. Whether the child performed a particular activity (yes/no) and the mean time spent in each activity were also ascertained and categorized into tertiles. Children's participation in physical education classes at school (yes/no) was also determined.</p><p id="par0075" class="elsevierStylePara elsevierViewall">Time spent watching TV was assessed according to the American Academy of Pediatrics guidelines<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">36</span></a> and a limit of 2<span class="elsevierStyleHsp" style=""></span>h/day was considered to define excessively sedentary habits. We also asked a yes-no question about the presence of a TV set in the child's bedroom.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0080" class="elsevierStylePara elsevierViewall">The statistical analyses were performed with SPSS version 20.0 (IBM SPSS Inc., Chicago, IL). The association of children's and parents’ characteristics with BP classification was assessed with the chi-square test. The partial correlation coefficient was used to estimate the association between BP and anthropometric indicators (BMI, WC, BFP, and adiposity index) adjusted for gender, age, and height percentile.</p><p id="par0085" class="elsevierStylePara elsevierViewall">Multinomial logistic regression models were used to estimate the association between exposure variables that in univariate analysis were associated with the assessed outcome with p<<span class="elsevierStyleHsp" style=""></span>0.20, and BP classification (dependent variable), using the categories of (1) normal (reference category), (2) high-normal BP, and (3) hypertension, i.e. the model compared the probability in the following categories (1 vs. 2 and 1 vs. 3), stratified by gender and adjusted for age and height percentile. The reference categories for the independent variables were weight status (normal weight), WC (<75th percentile), BFP (<75th percentile), adiposity index (continuous variable, with higher scores indicating higher overall adiposity), maternal excess weight (no), physical activity outside school (yes), and tertile for physical activity outside school, in h/day (third tertile).</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">The present study was conducted with 1555 6- to 9-year-old children (50.5% female) residing in the 18 districts of mainland Portugal (mean age 7.58 years; standard deviation 1.10). The prevalence of high-normal BP and hypertension was 4.5% and 3.7%, respectively. Both high-normal BP and hypertension were significantly more prevalent among females than among males (5.6% vs. 3.4% and 4.3% vs. 3.1%, respectively, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). However, the prevalence of high-normal BP and hypertension showed no significant association with age (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.15). An increase in weight status was positively associated with the prevalence of high-normal BP and hypertension (p<<span class="elsevierStyleHsp" style=""></span>0.01), which was also observed for high WC (p<<span class="elsevierStyleHsp" style=""></span>0.01) and high BFP (p<<span class="elsevierStyleHsp" style=""></span>0.01) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">There was an association between maternal excess weight and increased prevalence of high-normal BP and hypertension in children (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01); however, this association was not observed for paternal excess weight (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.85). The prevalence of high-normal BP and hypertension was higher among children who did not perform physical activity during their leisure time (p<<span class="elsevierStyleHsp" style=""></span>0.01), and conversely, these prevalences decreased as the time spent in physical activity per day increased (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01 for overall trend) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). SBP and DBP were positively correlated with all anthropometric indicators (BMI, WC, BFP, and adiposity index; p<<span class="elsevierStyleHsp" style=""></span>0.01 for all) (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">Due to the significant difference in the prevalence of HBP between males and females, multinomial logistic regression analysis was stratified by gender. The risk of high-normal BP was higher for males with obesity (odds ratio [OR] 6.13, p<<span class="elsevierStyleHsp" style=""></span>0.01), high WC (OR 3.14, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01), high BFP (OR 3.06, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01), and high adiposity index (OR 1.69, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01) and the risk of hypertension was greater among males who had high adiposity index (OR 1.82, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01). The risk of high-normal BP was higher for females with obesity (OR 4.25, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01), high WC (OR 2.36, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01), high BFP (OR 2.83, p<<span class="elsevierStyleHsp" style=""></span>0.01), and high adiposity index (OR 1.67, p<<span class="elsevierStyleHsp" style=""></span>0.01). Additionally, the risk of hypertension was greater for females with overweight (OR 2.43, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03), obesity (OR 5.26, p<<span class="elsevierStyleHsp" style=""></span>0.01), high WC (OR 3.47, p<<span class="elsevierStyleHsp" style=""></span>0.01), high BFP (OR 2.29, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.03), high adiposity index (OR 2.03, p<<span class="elsevierStyleHsp" style=""></span>0.01), for daughters of overweight mothers (OR 3.23, p<<span class="elsevierStyleHsp" style=""></span>0.01), and for those who did not perform physical activity during leisure time (OR 2.15, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0120" class="elsevierStylePara elsevierViewall">High-normal BP and hypertension were prevalent among 6-9-year-old Portuguese schoolchildren. All the anthropometric indicators assessed were strongly associated with the prevalence of high-normal BP and hypertension, especially among females, as well as some lifestyle-related behaviors and maternal excess weight.</p><p id="par0125" class="elsevierStylePara elsevierViewall">The prevalence of hypertension found among these Portuguese schoolchildren was comparable to that observed in Italian children aged 6-18 years (3.5%),<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">5</span></a> Spanish children aged 6-16 years (3.2% for males and 3.1% for females),<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">17</span></a> and Chinese children aged 7-18 years (prehypertension 3.9%, hypertension 3.3%).<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">16</span></a> However, the prevalence of high-normal BP and hypertension observed in the present study was lower than that observed among Canadian children aged 4-17 years (prehypertension 7.6%, hypertension 7.4%),<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">8</span></a> Brazilian children aged 7-17 years (high-normal BP 13.9%, hypertension 12.1%),<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">11</span></a> and Italian children aged 6-11.9 years (hypertension 5.2-7.8%).<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">18</span></a> These differences in the prevalence of HBP can be explained, in part, by the variability in procedures applied in BP measurements and categorization for children and adolescents. Furthermore, differences in the ages of the studied groups may have impaired the comparability of results, since increased age is associated with changes in BP.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">5,17,21</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Adiposity was more strongly associated with HBP among children with excess weight than in those with normal weight. Similarly, Tu et al.,<a class="elsevierStyleCrossRef" href="#bib0385"><span class="elsevierStyleSup">37</span></a> in a cohort study of American children with a mean age of 10.2 years, found that the effect of adiposity on BP was modest in children with BMI below the 85th percentile, but above this point, the effect of adiposity on BP increased up to four-fold. This relationship highlights the effect of adiposity on BP levels.<a class="elsevierStyleCrossRef" href="#bib0385"><span class="elsevierStyleSup">37</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">Increased BP in childhood is concerning for several reasons, one of which is that HBP predisposes children to developing cardiovascular disorders, including intermediate markers of target organ damage such as increased carotid-intima media thickness.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">3,21</span></a> There is also evidence that changes in BP in childhood tend to persist into adulthood.<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">22,23</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">The identification and treatment of children at higher risk for developing hypertension is therefore an important step in reducing the excessive burden of cardiovascular disease. Furthermore, not only does the etiology of cardiovascular disease have its roots in childhood, but the lifestyles that influence the onset of chronic disease are also acquired in early life and tend to persist into adulthood.<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">38</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">In this context, considering that routine BP measurement is recommended after the age of three,<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a> Rinaldi et al.<a class="elsevierStyleCrossRef" href="#bib0395"><span class="elsevierStyleSup">39</span></a> state that screening for alterations in BP among children, who are mostly asymptomatic, is fundamental to prevention and reduction of cardiovascular disease, and that the school environment is an appropriate place for measuring and monitoring BP.</p><p id="par0150" class="elsevierStylePara elsevierViewall">A significant association has been observed in some studies between sedentary behavior and/or low levels of physical activity and HBP.<a class="elsevierStyleCrossRefs" href="#bib0250"><span class="elsevierStyleSup">10,15,20</span></a> However, in the present study, no significant association between high-normal BP and hypertension and indicators of physical activity and sedentary behavior was observed after adjustment in the multinomial model. Similar results were observed among Italian<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">5</span></a> and Mexican<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">9</span></a> children.</p><p id="par0155" class="elsevierStylePara elsevierViewall">Due to its cross-sectional design, the present study was unable to determine causality between adiposity and HBP among the studied children. However, similar associations have been found in longitudinal studies.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">7,23,37</span></a> This study has some limitations, including the lack of information on parental BP, which could reflect the genetic origin of cardiovascular disorders.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">5,21</span></a> However, Tringler et al.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">15</span></a> found no significant association between hypertension in children and parental hypertension (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.35). In the present study, in the absence of such information, parental BMI was used as a proxy to examine the effect of parental characteristics on children's BP levels. Similar results were observed among five-year-old Australian children.<a class="elsevierStyleCrossRef" href="#bib0400"><span class="elsevierStyleSup">40</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">The analyses in this study represent a breakthrough in the understanding of the impact of adiposity on BP levels in schoolchildren after controlling for possible influencing factors. An unexpectedly high prevalence of high-normal BP and hypertension was observed among Portuguese schoolchildren. Higher values for body fat indicators were strongly associated with HBP, reinforcing the usefulness of these indicators in screening for health problems among children, and specifically the risk of elevated BP levels. Prevention of childhood obesity is therefore of paramount importance to reduce the risk of HBP and cardiovascular disease.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Funding source</span><p id="par0165" class="elsevierStylePara elsevierViewall">This study was supported by a grant from the Portuguese <span class="elsevierStyleItalic">Fundação para a Ciência e a Tecnologia</span> FCOMP-01-0124-FEDER-007483. Additionally, the first author was supported by CAPES, Ministry of Education of Brazil (process number: 8349/12-6). The <span class="elsevierStyleItalic">Fundação para a Ciência e a Tecnologia</span> and CAPES had no role in the design, analysis or writing of this article.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Ethics approval and consent to participate</span><p id="par0170" class="elsevierStylePara elsevierViewall">The PPSOC was approved by the Directorate-General for Curriculum Innovation and Development of the Portuguese Ministry of Education. Additionally, authorization for data collection was obtained from the schools, and the participants’ parents or guardians signed a consent form indicating their agreement to participate.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Authors’ contributions</span><p id="par0175" class="elsevierStylePara elsevierViewall">PRMR contributed to analysis and interpretation of data, the drafting, writing, and revision of the manuscript, and final approval of the manuscript. RAP contributed to analysis and interpretation of data, critical revision of the manuscript, and final approval of the manuscript. AG, IMC, HN, and VRM contributed to the design of the data collection instruments, review and revision the manuscript, and final approval of the manuscript. CP contributed to the conception and design of the study, coordination and supervision of data collection, review and revision of the manuscript, and final approval of the manuscript.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflicts of interest</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1021804" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec980016" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1021805" "titulo" => "Resumo" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusão" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec980017" "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" => "Sampling method" ] 1 => array:2 [ "identificador" => "sec0025" "titulo" => "Data collection" ] 2 => array:2 [ "identificador" => "sec0030" "titulo" => "Blood pressure measurement and anthropometric variables" ] 3 => array:2 [ "identificador" => "sec0035" "titulo" => "Definitions of terms and groups" ] 4 => array:2 [ "identificador" => "sec0040" "titulo" => "Lifestyle-related behaviors" ] 5 => array:2 [ "identificador" => "sec0045" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0050" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0055" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0060" "titulo" => "Funding source" ] 9 => array:2 [ "identificador" => "sec0065" "titulo" => "Ethics approval and consent to participate" ] 10 => array:2 [ "identificador" => "sec0070" "titulo" => "Authors’ contributions" ] 11 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflicts of interest" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2016-10-17" "fechaAceptado" => "2017-09-13" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec980016" "palabras" => array:4 [ 0 => "Blood pressure" 1 => "Schoolchildren" 2 => "Adiposity" 3 => "Weight status" ] ] ] "pt" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palavras chave" "identificador" => "xpalclavsec980017" "palabras" => array:4 [ 0 => "Pressão arterial" 1 => "Escolares" 2 => "Adiposidade" 3 => "Condição de peso" ] ] ] ] "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">The aim of the study was to estimate the prevalence of high blood pressure (HBP) and its association with anthropometric indicators of adiposity in Portuguese schoolchildren.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">In this cross-sectional study, a nationally representative sample of 6-9-year-old children was analyzed. Weight and height (used to calculate body mass index [BMI]), blood pressure (BP), waist circumference (WC) and skinfold thickness (used to estimate body fat percentage [BFP]) were measured using standard techniques. BP was classified as high-normal BP or hypertension for values between the 90th and 95th percentiles or above the 95th percentile, respectively. A body adiposity index was calculated with principal component analysis using BMI, WC and BFP. Multinomial logistic regression models were used to estimate the strength of the association between anthropometric indicators and HBP.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The prevalence of high-normal BP and hypertension was 4.5% and 3.7%, respectively. BP was positively correlated with all anthropometric indicators (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 for all). HBP was significantly more prevalent in females than in males and was positively associated with higher values of the assessed anthropometric indicators of adiposity, especially among females.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Increased body fat predicted HBP. The use of anthropometric indicators may thus be useful in screening for HBP among Portuguese schoolchildren.</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" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "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">Estimar a prevalência de hipertensão arterial sistêmica (HAS) e sua associação com indicadores antropométricos de adiposidade em escolares portugueses.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Neste estudo transversal, uma amostra nacionalmente representativa de crianças de seis a nove anos foi avaliada. As medidas de peso e altura (usadas para estimar o índice de massa corporal [IMC]), pressão arterial [PA], circunferência da cintura [CC] e dobras cutâneas {usadas para estimar o percentual de gordura corporal – PBF}) foram aferidas com procedimentos-padrão. A HAS foi classificada em pressão arterial normal-alta ou hipertensão para valores entre os percentis 90 e 95 ou acima do percentil 95, respectivamente. Um índice de adiposidade foi estimado por meio da análise de componentes principais com o uso de IMC, CC e BFP. Modelos de regressão logística multinomial foram usados para estimar a magnitude da associação entre indicadores de adiposidade e HAS.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">As prevalências de pressão arterial normal-alta e hipertensão foram de 4,5 e 3,7%, respectivamente. A HAS foi positivamente correlacionada com todos os indicadores de adiposidade (p <<span class="elsevierStyleHsp" style=""></span>0,01 para todos). HAS foi significativamente maior em meninas do que em meninos e foi positivamente associada com o aumento dos indicadores antropométricos de adiposidade, especialmente entre as meninas.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusão</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">O aumento da gordura corporal pode predizer HAS. Assim, o uso de indicadores antropométricos para adiposidade pode ser útil na triagem de HAS em escolares portugueses.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusão" ] ] ] ] "multimedia" => array:3 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Blood pressure classified by age, gender and height according to the Fourth Report on the Diagnosis, Evaluation and Treatment of High Blood Pressure in Children and Adolescents.<span class="elsevierStyleSup">25</span></p><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">BFP: body fat percentage; BP: blood pressure; PA: physical activity; PE: physical education; SD: standard deviation; WC: waist circumference.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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">Characteristics \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">BP</th><th class="td" title="table-head " align="left" valign="top" scope="col">p<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Normal \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">High-normal \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Hypertension \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">n (%)</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \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">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1427 (91.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">70 (4.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">58 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">- \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleBold">Child characteristics</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Gender</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">720 (93.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26 (3.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24 (3.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.04 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">707 (90.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">44 (5.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34 (4.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Mean age, years (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.58 (1.10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.57 (1.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.29 (1.14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.15 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Weight status</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Normal weight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1035 (93.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36 (3.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">32 (2.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a> \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Overweight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">302 (89.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (5.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">16 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Obese \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90 (77.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">16 (13.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">WC</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1091 (94.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">37 (3.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">33 (2.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">332 (85.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31 (8.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (6.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">BFP</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1118 (93.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">38 (3.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36 (3.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">303 (85.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31 (8.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">21 (5.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleBold">Parent characteristics</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Paternal excess weight</span><a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">454 (92.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.85 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">755 (91.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35 (4.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">32 (3.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Maternal excess weight</span><a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">b</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">952 (93.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">38 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (2.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">383 (88.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (5.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (5.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleBold">Child lifestyle-related behaviors</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">PE classes at school</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1314 (91.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">66 (4.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">50 (3.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.19 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">110 (90.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (3.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8 (6.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">PA outside school</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">846 (93.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">22 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">549 (89.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34 (5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">33 (5.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">PA outside school (h/day)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>1st tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">540 (90.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">32 (5.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (4.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">a</span></a> \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>2nd tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">397 (91.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19 (4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19 (4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>3rd tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">490 (94.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19 (3.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11 (2.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Time watching TV</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>2 h/day \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">970 (93.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">39 (3.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29 (2.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.06 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>≥2 h/day \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">329 (89.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (6.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">15 (4.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">TV in the child's bedroom</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">534 (90.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">34 (5.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (4.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.07 \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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">817 (93.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31 (3.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (3.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1736264.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">by chi-square test.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">p for linear trend.</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Excess weight: overweight + obesity.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Characteristics of schoolchildren (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1555; 6-9 years old) according to the prevalence of high blood pressure.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">p<<span class="elsevierStyleHsp" style=""></span>0.01 for all correlations. Adjusted for gender, age, and height percentile.</p><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">The adiposity index was computed by averaging the normalized values of BMI, WC, and BFP by principal component analysis.</p><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">BFP: body fat percentage; BMI: body mass index; BP: blood pressure; DBP: diastolic blood pressure; SBP: systolic blood pressure; WC: waist circumference.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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">BP \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">Anthropometric indicators</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \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">BMI \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">WC \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">BFP \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">Adiposity index \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">SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.26 \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">DBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1736266.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Partial correlation coefficient between anthropometric indicators and measures of systolic and diastolic pressures among schoolchildren (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1555; 6-9 years old).</p>" ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Blood pressure classified by age, gender and height according to the Fourth Report on the Diagnosis, Evaluation and Treatment of High Blood Pressure in Children and Adolescents.<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a></p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">The multinomial logistic regression model was stratified by gender and adjusted for age and height percentile.</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">The group with normal blood pressure was the reference category for the high blood pressure groups.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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" title="table-head " rowspan="3" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Anthropometric indicators</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Males</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Females</th></tr><tr title="table-row"><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">High-normal BP</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Hypertension</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">High-normal BP</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Hypertension</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95% CI) \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">p \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">OR (95% CI) \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">p \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">OR (95% CI) \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">p \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">OR (95% CI) \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">p \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">Weight status</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Normal weight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span>Overweight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.34 (0.88-6.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.09 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.26 (0.40-3.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.69 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.28 (0.60-2.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.43 (1.08-5.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.03 \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="elsevierStyleHsp" style=""></span>Obesity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.13 (2.03-18.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.40 (0.87-13.36) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.25 (1.84-9.83) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5.26 (1.95-14.15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">WC</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span>≥75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.14 (1.30-7.58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.51 (0.96-6.57) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.36 (1.19-4.67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.47 (1.63-7.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">BFP</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span>≥75th percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.06 (1.27-7.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.56 (0.99-6.58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.83 (1.48-5.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.29 (1.08-4.86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">Adiposity index</span><a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">a</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.69 (1.15-2.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.82 (1.15-2.86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.67 (1.20-2.31) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.03 (1.41-2.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">Maternal excess weight</span><a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">b</span></a></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.54 (0.62-3.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.28 (0.51-3.21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.60 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.33 (0.68-2.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.23 (1.55-6.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><<span class="elsevierStyleHsp" style=""></span>0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleItalic">PA outside school</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.78 (0.80-3.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.19 (0.94-5.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.33 (0.72-2.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.36 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.15 (1.03-4.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="9" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">PA outside school (h/day)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>1st tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.68 (0.66-4.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.49 (0.55-4.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.29 (0.61-2.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.99 (1.00-8.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.05 \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="elsevierStyleHsp" style=""></span>2nd tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.25 (0.44-3.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.19 (0.41-3.51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.13 (0.49-2.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.02 (0.96-9.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.06 \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="elsevierStyleHsp" style=""></span>3rd tertile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1736265.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Continuous variable: higher scores indicate higher overall adiposity.</p>" ] 1 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Excess weight: overweight + obesity.</p> <p class="elsevierStyleNotepara" id="npar0030">BP: blood pressure; 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| Ano/Mês | Html | Total | |
|---|---|---|---|
| 2024 Novembro | 5 | 5 | 10 |
| 2024 Outubro | 54 | 31 | 85 |
| 2024 Setembro | 51 | 22 | 73 |
| 2024 Agosto | 48 | 29 | 77 |
| 2024 Julho | 49 | 25 | 74 |
| 2024 Junho | 35 | 20 | 55 |
| 2024 Maio | 40 | 25 | 65 |
| 2024 Abril | 58 | 24 | 82 |
| 2024 Maro | 45 | 27 | 72 |
| 2024 Fevereiro | 35 | 18 | 53 |
| 2024 Janeiro | 36 | 24 | 60 |
| 2023 Dezembro | 26 | 22 | 48 |
| 2023 Novembro | 42 | 37 | 79 |
| 2023 Outubro | 24 | 13 | 37 |
| 2023 Setembro | 21 | 25 | 46 |
| 2023 Agosto | 35 | 24 | 59 |
| 2023 Julho | 24 | 11 | 35 |
| 2023 Junho | 19 | 45 | 64 |
| 2023 Maio | 41 | 34 | 75 |
| 2023 Abril | 46 | 7 | 53 |
| 2023 Maro | 75 | 38 | 113 |
| 2023 Fevereiro | 53 | 26 | 79 |
| 2023 Janeiro | 28 | 19 | 47 |
| 2022 Dezembro | 59 | 20 | 79 |
| 2022 Novembro | 80 | 51 | 131 |
| 2022 Outubro | 47 | 38 | 85 |
| 2022 Setembro | 35 | 46 | 81 |
| 2022 Agosto | 36 | 30 | 66 |
| 2022 Julho | 45 | 52 | 97 |
| 2022 Junho | 30 | 30 | 60 |
| 2022 Maio | 35 | 34 | 69 |
| 2022 Abril | 41 | 45 | 86 |
| 2022 Maro | 42 | 50 | 92 |
| 2022 Fevereiro | 42 | 49 | 91 |
| 2022 Janeiro | 43 | 34 | 77 |
| 2021 Dezembro | 35 | 36 | 71 |
| 2021 Novembro | 46 | 34 | 80 |
| 2021 Outubro | 31 | 42 | 73 |
| 2021 Setembro | 26 | 27 | 53 |
| 2021 Agosto | 35 | 35 | 70 |
| 2021 Julho | 21 | 18 | 39 |
| 2021 Junho | 33 | 19 | 52 |
| 2021 Maio | 47 | 36 | 83 |
| 2021 Abril | 53 | 58 | 111 |
| 2021 Maro | 93 | 21 | 114 |
| 2021 Fevereiro | 59 | 28 | 87 |
| 2021 Janeiro | 34 | 13 | 47 |
| 2020 Dezembro | 37 | 15 | 52 |
| 2020 Novembro | 41 | 21 | 62 |
| 2020 Outubro | 32 | 10 | 42 |
| 2020 Setembro | 43 | 11 | 54 |
| 2020 Agosto | 24 | 14 | 38 |
| 2020 Julho | 56 | 17 | 73 |
| 2020 Junho | 26 | 13 | 39 |
| 2020 Maio | 24 | 7 | 31 |
| 2020 Abril | 51 | 19 | 70 |
| 2020 Maro | 39 | 10 | 49 |
| 2020 Fevereiro | 44 | 36 | 80 |
| 2020 Janeiro | 32 | 10 | 42 |
| 2019 Dezembro | 29 | 9 | 38 |
| 2019 Novembro | 35 | 10 | 45 |
| 2019 Outubro | 20 | 11 | 31 |
| 2019 Setembro | 15 | 7 | 22 |
| 2019 Agosto | 25 | 7 | 32 |
| 2019 Julho | 25 | 10 | 35 |
| 2019 Junho | 40 | 19 | 59 |
| 2019 Maio | 26 | 20 | 46 |
| 2019 Abril | 21 | 14 | 35 |
| 2019 Maro | 46 | 10 | 56 |
| 2019 Fevereiro | 71 | 10 | 81 |
| 2019 Janeiro | 84 | 9 | 93 |
| 2018 Dezembro | 66 | 13 | 79 |
| 2018 Novembro | 199 | 11 | 210 |
| 2018 Outubro | 481 | 31 | 512 |
| 2018 Setembro | 41 | 21 | 62 |
| 2018 Agosto | 44 | 30 | 74 |
| 2018 Julho | 42 | 10 | 52 |
| 2018 Junho | 35 | 17 | 52 |
| 2018 Maio | 67 | 47 | 114 |
| 2018 Abril | 5 | 8 | 13 |
Mostrar tudo
