<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222016000100003</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Nutritional status and cardiovascular risks in children of two schools in Bogotá, Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vera]]></surname>
<given-names><![CDATA[Sorany]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Figueroa]]></surname>
<given-names><![CDATA[Jenifer Tatiana]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aranzález]]></surname>
<given-names><![CDATA[Luz Helena]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mockus]]></surname>
<given-names><![CDATA[Ismena]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,National University of Colombia Department of Physiological Sciences Lipids and Diabetes Division]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>01</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>01</month>
<year>2016</year>
</pub-date>
<volume>66</volume>
<numero>1</numero>
<fpage>025</fpage>
<lpage>033</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222016000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222016000100003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222016000100003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[This is a cross-sectional observational study. Children's weight, height, blood pressure, serum levels of total cholesterol, triglycerides, HDL cholesterol, LDL cholesterol and non-HDL cholesterol were objectively measured from participants. Statistical analysis was performed using the ANOVA technique for parametric data and the Kruskal- Wallis test for nonparametric data. Study was conducted on 157 children aged 7-9 from two educational institutions located in low-income areas in Bogotá, Colombia. Weight excess (overweight and obesity) was observed in 46 subjects, of which 97.8% had a high or very high waist circumference. The lipid profile was altered in 45.2% of the subjects; 22.3% presented high levels of triglycerides. Metabolic syndrome was identified in 32.6% of the subjects with excess weight, thus being the most frequent component of high or very high waist circumference. Finally this study confirmed the high prevalence of malnutrition by excess weightand, also excess weight associated with high triglyceride and low HDL levels. The results of this study suggest the need for early and thorough interventions aimed at improving the lifestyles and quality of life of children.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Estado nutricional y riesgo cardiovascular en escolares de dos colegios de Bogotá, Colombia. Este es un estudio observacional transversal. Se realizó valoración antropométrica, bioquímica y de presión arterial en 157 niños y niñas con edades de 7 a 9 años de dos instituciones educativas, localizadas en sectores con recursos económicos limitados de Bogotá. Se determinó niveles séricos de colesterol total, triglicéridos, colesterol HDL, colesterol LDL y colesterol no-HDL. Se realizó análisis estadístico mediante la técnica de ANOVA para datos paramétricos y la prueba de Kruskal-Wallis para datos no paramétricos. Se observó exceso de peso (sobrepeso y obesidad) en 46 sujetos de los cuales el 97.8 % presentó circunferencia de cintura alta. El perfil lipídico se encontró alterado en el 45.2 % de los sujetos; el 22.3% presentaron triglicéridos elevados. El síndrome metabólico se identificó en el 32,6% de los sujetos con exceso de peso, siendo el componente más frecuente la circunferencia de cintura alta. En este estudio se pudo confirmar la alta prevalencia de malnutrición por exceso y también el exceso de peso asociado a valores altos de triglicéridos y niveles bajo de HDL. Este estudio sugiere la necesidad de intervenciones tempranas e integrales enfocadas a mejorar los estilos y calidad de vida de los niños y niñas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Cardiovascular risk]]></kwd>
<kwd lng="en"><![CDATA[metabolic syndrome]]></kwd>
<kwd lng="en"><![CDATA[dyslipidemia]]></kwd>
<kwd lng="en"><![CDATA[children]]></kwd>
<kwd lng="en"><![CDATA[overweight]]></kwd>
<kwd lng="en"><![CDATA[obesity]]></kwd>
<kwd lng="en"><![CDATA[childhood hypertension]]></kwd>
<kwd lng="es"><![CDATA[Riesgo cardiovascular]]></kwd>
<kwd lng="es"><![CDATA[síndrome metabólico]]></kwd>
<kwd lng="es"><![CDATA[dislipidemia]]></kwd>
<kwd lng="es"><![CDATA[niños]]></kwd>
<kwd lng="es"><![CDATA[sobrepeso]]></kwd>
<kwd lng="es"><![CDATA[obesidad]]></kwd>
<kwd lng="es"><![CDATA[hipertensión infantil]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><font face="Verdana"><b>Nutritional status and  cardiovascular risks in children  of two schools in Bogotá, Colombia</b></font></p>     <p align="center"><font face="Verdana" size="2">  Sorany Vera, Jenifer Tatiana Figueroa, Luz Helena Aranzález, Ismena Mockus.</font></p>     <p align="center"><font face="Verdana" size="2">  Lipids and Diabetes Division, Department of Physiological Sciences,  National University of Colombia. Bogotá, Colombia.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>SUMMARY:</b> This is a cross-sectional observational study. Children's  weight, height, blood pressure, serum levels of total  cholesterol, triglycerides, HDL cholesterol, LDL cholesterol  and non-HDL cholesterol were objectively measured from  participants. Statistical analysis was performed using the  ANOVA technique for parametric data and the Kruskal-  Wallis test for nonparametric data. Study was conducted  on 157 children aged 7-9 from two educational institutions  located in low-income areas in Bogotá, Colombia. Weight  excess (overweight and obesity) was observed in 46  subjects, of which 97.8% had a high or very high waist  circumference. The lipid profile was altered in 45.2% of  the subjects; 22.3% presented high levels of triglycerides.  Metabolic syndrome was identified in 32.6% of the subjects  with excess weight, thus being the most frequent component  of high or very high waist circumference. Finally this  study confirmed the high prevalence of malnutrition by  excess weightand, also excess weight associated with high  triglyceride and low HDL levels. The results of this study  suggest the need for early and thorough interventions aimed  at improving the lifestyles and quality of life of children.  </font></p>     <p align="justify"><font face="Verdana" size="2">  <b>Key words: </b>Cardiovascular risk, metabolic syndrome,  dyslipidemia, children, overweight, obesity, childhood  hypertension.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>RESUMEN.</b> Estado nutricional y riesgo cardiovascular  en escolares de dos colegios de Bogotá, Colombia.  Este es un estudio observacional transversal. Se realizó  valoración antropométrica, bioquímica y de presión  arterial en 157 niños y niñas con edades de 7 a 9 años de  dos instituciones educativas, localizadas en sectores con  recursos económicos limitados de Bogotá. Se determinó  niveles séricos de colesterol total, triglicéridos, colesterol  HDL, colesterol LDL y colesterol no-HDL. Se realizó  análisis estadístico mediante la técnica de ANOVA para  datos paramétricos y la prueba de Kruskal-Wallis para datos  no paramétricos. Se observó exceso de peso (sobrepeso y  obesidad) en 46 sujetos de los cuales el 97.8 % presentó  circunferencia de cintura alta. El perfil lipídico se encontró  alterado en el 45.2 % de los sujetos; el 22.3% presentaron  triglicéridos elevados. El síndrome metabólico se identificó  en el 32,6% de los sujetos con exceso de peso, siendo el  componente más frecuente la circunferencia de cintura alta.  En este estudio se pudo confirmar la alta prevalencia  de malnutrición por exceso y también el exceso de peso  asociado a valores altos de triglicéridos y niveles bajo de  HDL. Este estudio sugiere la necesidad de intervenciones  tempranas e integrales enfocadas a mejorar los estilos y  calidad de vida de los niños y niñas.  </font></p>     <p align="justify"><font face="Verdana" size="2">  <b>Palabras clave:</b> Riesgo cardiovascular, síndrome  metabólico, dislipidemia, niños, sobrepeso, obesidad,  hipertensión infantil.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>INTRODUCTION</b></font></p>     <p align="justify"><font face="Verdana" size="2">  In recent years there has been an increasing  number of cases associated with cardiovascular  disease (CVD) that, according to the World Health  Organization (WHO), are the leading cause of death  worldwide.Several studies have shown that the  prevalence of overweight (OW) and obesity (OB)  in children has also increased, which is a cause for  concern, not only for its short-term consequences, but  also for their health condition in adulthood (1, 2) as  it is closely linked to the subsequent development of  cardiovascular disease, increasing the risk of mortality  at a young age. In a study of children and adolescents  in Bogalusa, the connection between body mass index  (BMI) and the accumulation of fat and atherosclerotic  plaques in coronary arteries has been proved; a strong  link between cardiovascular risk factors and BMI  was also discovered showing a positive relationship  with the levels of total cholesterol (total-c), LDL  cholesterol (LDL-c), very low density lipoproteins  (VLDL) and arterial pressure (AP) (1).</font></p>     <p align="justify"><font face="Verdana" size="2">In Colombia, child obesity and  overweight  have increased (every 6th infant between 5 and 17  years presents OW or OB)(3), which have been  corroborated in studies of schools in Bogotá(4). Part  of the explanation for this phenomenon is the increase  in sedentary lifestyle. The 2010 Encuesta Nacional  de la Situación Nutricional de Colombia (ENSIN  – National Survey of the Nutritional Situation in  Colombia) reports that 57.9% of children aged 5 to  12 watch TV or play video games 2.4 hours or more a  day, and adolescents 2.8 hours per day (3).  Several studies have shown that the most important  factors in the appearance of OW and child OB are  inadequate eating habits and physical inactivity  (5); these factors also affect the level of circulating  lipids;has been observed, in other studies, a significant  relationship between cholesterol and lipoproteins in  childhood to adulthood(6).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  Dyslipidemia and OB are the result of multiple  causative factors that, among others things, include:  genetic; environmental and socio-cultural factors;  eating habits; lifestyle; and physical activity(7). It is  necessary to study the behavior of these variables to  increase knowledge of this problem in the population  and contribute to the implementation of contextualized  strategies (5).</font></p>     <p align="justify"><font face="Verdana" size="2">  Another measurement that has become important  because of its relationship with cardiovascular risk is  waist circumference (WC), which is an indicator of  the amount of visceral adipose tissue. Several studies  have reported that this circumference is correlated  with a family history of diabetes, high levels of  LDL-c, low HDL cholesterol (HDL-c) and high AP  (5). Measuring waist circumference is important,  because the abdominal adiposity is a predictor of CVD  and type 2 diabetes, even independently of BMI(6).</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  MATERIALS AND METHODS:</b></font></p>     <p align="justify"><font face="Verdana" size="2">  FA cross-sectional observational study was  conducted to identify levels of cardiovascular risk  factors and nutritional status of children aged 7-9  in two educational institutions in the city of Bogotá  during the second semester of 2014. The study was  approved by the Ethics Committee of the Faculty of  Medicine at the National University of Colombia.</font></p>     <p align="justify"><font face="Verdana" size="2">  The population consisted of all students between  7 to 9 years 11 months, enrolled in educational  institutions in February 2014, with 230 subjects of  Llano Oriental School (IED Llano Oriental) and 142  of Liceo Integral Los Alisos. Of the two institutions  185 subjects complied with the inclusion criteria  and provided their informed consent (according to  the current regulations for human subject research,  resolution 08430/1993 of the Ministerio de Salud  de Colombia); 3 boys and 4 girls were not present  at the time of the assessments, so 178 children were  included in the study. Given the amount of time that  had passed since providing consent, 21 children were  10 years old at the time of the nutritional assessments,  and therefore were not included in the statistical  analysis. Thus, the final study group was composed of  157 subjects (70 boys and 87 girls).</font></p>     <p align="justify"><font face="Verdana" size="2">  Anthropometry: Weight was measured on a  precision digital scale (Tanita), the participants were  barefoot and wearing light clothing. Height was  measured with stadiometer (SECA) applying the  techniques according the Manual of techniques for  anthropometric measurements to health professionals.  According to the instructions for the implementation  of the growth patterns of WHO in Colombia for  children and adolescents of 0-18 years (8).  Nutritional interpretation was performed according  to The WHO Child Growth Standards for children of  5-18 years(8).</font></p>     <p align="justify"><font face="Verdana" size="2">  The Waist Circumference (WC) was measured in  the horizontal plane at the midpoint between the last  right rib and the iliac crest using an inelastic fiberglass  tape (OMS). Values of CDC was used to assess high/  waist circumference(9).  Blood samples were taken from the antecubital  vein after 12 hours of fasting. To determine the lipid  profile and blood glucose levels, samples were set  in the centrifuge at 3500 xg for 5 minutes and the  serum obtained was stored at -20 °C. Enzymatic  spectrophotometric techniques were used to determine  total-c, triglycerides (TG), HDL-c and glucose; LDL-c  was calculated using the Friedewald equation and non-  HDL cholesterol (non-HDL-c) by the difference in  total-c – HDL-c. A classification of the risk of fractions  of the lipid profile was undertaken according to the  NHLBI guide for screening and cholesterol cutoffs,  referencing the study of The National Cholesterol  Education Program, which also considers the levels of  c-non-HDL (10).</font></p>     <p align="justify"><font face="Verdana" size="2">  Although the Metabolic Syndrome (MS) should  not be diagnosed in children under 10 years (Diabetes  Federation (11)) we want to identify the possible  cardiovascular risk associated with metabolic  syndrome in children in this study. Cook's parameters  were used as reference to identify alterations of  metabolic syndrome (Cook et al (12)) (WC &#8805; p90,  systolic and / or diastolic &#8805; 90 Pc for age, TG &#8805; 110  mg / dL, HDL &#8804; 40 mg / dL or fasting blood glucose  levels &#8805; 100 mg / dL).</font></p>     <p align="justify"><font face="Verdana" size="2">  The Blood Pressure (BP) was obtained using an  aneroid sphygmomanometer with a cuff appropriate  for the arm circumference and age of the participant  (Starmed CE 0123). The measurements of were  performed in duplicate, and the mean of the 2 readings  was used as the final measure. National High Blood  Pressure Education Program Working Group on High  Blood Pressure in Children and Adolescents study  was used to assess BP in children considering gender,  age and height (13).</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Statistical analysis</b></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  The subjects were classified into six groups  according to BMI, height and waist circumference. The  groups were: 1) risk of thinness, 2) adequate weight,  3) overweight, 4) obesity 5) risk of stunting or low  height and 6) high or very high waist circumference  without being overweight or obese according to  BMI. The database was processed using the R2012a  program MATLAB (7.14.0.739) Mathworks for the  analysis of the anthropometric variables and lipid  profile. The Shapiro-Wilk test was used to determine  normality, and Levene's test for homogeneity of data.  The ANOVA technique (analysis of variance)  was used to compare parametric data (for normality  and homogeneity) and the Kruskal-Wallis test was  used for nonparametric data. Numerical variables  were expressed as mean, standard deviation and  percentages.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>RESULTS</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Anthropometric data and biochemical variables of  the studied population are shown in Table 1.  19.1% of children were within desirable limits  for lipid profile variables (Table 1), though it was  evident that the majority of participants (45.2%) had  elevated levels of some variable lipid profile and  alarm levels (bordering on 37.5%) according to level  limits recommended by the NHLBI (Figure 1). There  were no cases of c-LDL higher than 160 mg /dL. All  children had blood glucose levels within reference  values (Table 4).</font></p>     <p align="justify"><font face="Verdana" size="2">  Further, the study showed that 46 children (29,  3%) presented weight excess (OW and OB) (Table 2),  of which 97.8% had high or very high WC (greater  than the 75th percentile); only one OW participant  presented adequate WC. The groups of subjects with  OW and OB had a WC significantly higher than  eutrophic children and children with risk of thinness  (p &lt;0.01). 19.1% of subjects with adequate weight  presented high WC.</font></p>     <p align="justify"><font face="Verdana" size="2">  In addition, 56.5% of children with weight excess  presented at least one altered variable in the lipid  profile and 26.1% were found in the border range of  any other variable, indicating that 82.6% of children  with weight excess have cardiovascular risk. Nonsignificant  differences between the groups were found  in values of total-C, TG, LDL-C and non-HDL-c, but  a significant difference in the levels of HDL-c between  groups of subjects with OB and healthy children  (p &lt;0.05) was seen (Table 4).</font></p>     <p align="justify"><font face="Verdana" size="2">  It was observed that the prevalence of high diastolic  and systolic pressure values in subjects with OW was  8.6 and 5.7 times more than in eutrophic children,  respectively. In OB, the probability of elevated  systolic blood pressure (SBP) and diastolic blood  pressure (DBP) was 18.8 and 9.4 times respectively  compared to eutrophic subjects. Table 3 shows the  significant difference found in DBP and SBP among  subjects with OB and eutrophic, as well as the SBP in  children with OW vs. eutrophic.</font></p>     <p align="justify"><font face="Verdana" size="2">  The waist to height ratio ((WHtR) was calculated  as a parameter predictor of cardiovascular risk  reported by other authors calculated in children and  adults (14, 15). The results for the different groups are  found in Table 5.  Diagnosis of metabolic syndrome was made with  insulin resistance and abdominal obesity as the main  components. At least three altered criteria were taken  into account, a prevalence of metabolic syndrome  in 32.6% was found in OW and OB children (15  subjects).</font></p>     <p align="justify"><a name="t1"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.1.jpg" width="608" height="432"></p>     
<p align="center"><a name="t2"></a></p>     ]]></body>
<body><![CDATA[<p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.2.jpg" width="389" height="538"></p>     
<p align="center"><a name="f1"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.3.jpg" width="365" height="439"></p>     
<p align="center"><a name="t3"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.4.jpg" width="700" height="288"></p>     
<p align="center"><a name="t4"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.5.jpg" width="661" height="274"></p>     
<p align="center"><a name="t5"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v66n1/art03.6.jpg" width="365" height="309"></p>     
<p align="justify"><font face="Verdana" size="2">  In this study, a high prevalence of OW and OB  was found in a school children population from  disadvantaged socio-economic classes. As for other  research in Colombia, similar results were found in a  study conducted by Fajardo in Bogotá (4)where 22.4%  of OW and 15.3% of OB in children 7-11 years of age  were reported. In turn, Uscátegui in Medellin (2) found  that only 9.3% of children were OW and 4.6% OB,  which may reflect cultural differences associated with  nutritional status in different regions of the country.  This high prevalence suggests that weight excess is a  public health problem resulting from various factors  such as the current food insecurity in disadvantaged  socioeconomic classes of countries with intermediate  economies, which have increased risk of OB as  opposed to the high economic stratum (16).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  The OB has generated an increasingly frequent    occurrence of noncommunicable diseases related to  nutrition, which in turn generate additional health  costs for treatment and its consequences (16).  Although clinical manifestations of CVD usually  do not make their appearance until middle age, the  atherosclerotic process begins at the earliest stages of  life and altered lipoprotein levels are associated with  atherosclerosis in youth. In assessing the lipid profile  of children, serum alterations of TG, non-HDL-c and  HDL-c are found, suggesting an increased risk for  these children to develop CVD, with similar results  to those described by Rosillo in Argentina (17) and  Uscátegui in Medellin (2) The percentage of children  with high TG in our study was higher than reported in  Mexico (18), but lower than described in Argentina  and Venezuela (17, 19), which is possibly due to  different environmental and cultural conditions that  influence the development of CVD.</font></p>     <p align="justify"><font face="Verdana" size="2">  The concentrations of LDL-c in our study were  higher than those reported by Marcano (20)and  similar to Leeson et al. (21), who found an inverse  relationship between serum cholesterol levels and  lower distensibility of the brachial artery in 9-11  years-old children. Regarding to HDL-c in this  study, the total number of children with low HDL-c  was 28.7% but it is worth noting that 11.5% were  found to have levels between 40-45 mg/dL, which is  considered borderline according to the breakpoints  of the NHLBI. The percentage of patients with low  HDL-C levels in our population is lower than those  reported in other studies in Latin America (18, 20)  even though they use the same breakpoint (&lt;40 mg/  dL). This difference could be explained by different  lifestyles such as eating behaviors and physical  inactivity (22).</font></p>     <p align="justify"><font face="Verdana" size="2">  In this study a higher frequency of elevated levels  of c-no-HDL vs. LDL-C was found. The determination  of non-HDL-c, was proposed by Bamba (23) as a  detection tool for cardiovascular risk. The non-HDL-c  can permit a timely intervention to identify children  with components of MS or who are at risk; it can also  be used to predict the severity of atherosclerosis and  CVD in adults.</font></p>     <p align="justify"><font face="Verdana" size="2">  BSP and BDP prevalence were higher in this  study in comparison with other research conducted  in Mexico and Argentina (24, 25). The relationship  between HBP (High blood pressure) and exogenous  obesity is well known (26). Dei-Cas et al. found that  4.7% of female and 13% of male adolescents were  hypertensive, of which 7% were OB. Both BSP and  BDP were correlated with BMI and OW (27). A similar  situation was observed in this study about the positive  relationship between weight excess (OW and OB) and  high BSP and BDP levels, independently or combined.  Lozada (19) also reported a statistically significant  association between OB, hypertriglyceridemia and  BP. Weight excess is strongly linked to HBP (24, 26).</font></p>     <p align="justify"><font face="Verdana" size="2">  In this study the possibility of high SBP with OW  increased 8.6 times, and the DBP was 5.7 times higher  in comparison to children with normal weight; in the  case of OB, the possibility of high SBP increases  18.8 times and for high DBP increases 9.4 times in  comparison to eutrophic children, reflecting similar  data found in a Mexican study (28).</font></p>     <p align="justify"><font face="Verdana" size="2">  The waist-to-height ratio (WHtR) has been  considered by several studies as a good indicator  of central adiposity which evaluates cardiovascular  risk in adults and children (14), it is quick and easy  to calculate in daily practice (29). Some authors  have proposed a WHtR &gt; 0.5, which would have a  high predictive capacity of higher cardiovascular  risk (15, 30). In this study we were able to identify  the WHtR was statistically higher in children with  OW and OB (&gt; 0.5), which is considered a good  predictor of cardiovascular risk, taking into account  that these children had a higher number of alterations  in blood pressure and lipid profile. Our results are  consistent with those we found in other studies in  child population, like Rangel et al. (14) who noticed  a relationship between WHtR on the development  of high blood pressure or hypertension in Mexican  children. Also studies in the UK and Chile (15, 30,  31) demonstrated the relationship between the OW  and obesity with an indicator&gt; 0.5. WHtR has been  reported as a better predictor of cardiovascular risk  compared with waist-hip ratio and the BMI (14, 31,  32).</font></p>     <p align="justify"><font face="Verdana" size="2">  32.6% of children with weight excess in this study  presented alterations associated to MS, which is higher  than the percentages found in studies conducted in  Venezuela (19)and Mexico (33) in older children.  In this study, the main alterations were identified:  waist circumference values above the 90th percentile,  low levels of HDL-c, and elevated TG. This agrees with  the findings of Burrows et al. who demonstrated that  in a population of children with MS the most common  risk factor was abdominal obesity (76%), followed by  hypertriglyceridemia (39%) and hyperglycemia (4%)    (34). In recent years, an increase in the diagnosis of MS  has been observed, which could be attributed not only  to the interest in detection, but also to the changes in  lifestyle at an early age. Increase of MS in childhood  leads to an increased frequency of noncommunicable  diseases and worsens the prognosis of these diseases  in adulthood. Early detection of MS components may  then have a positive impact on the health of children  and adults.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  CONCLUSIONS</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Dyslipidemia in children is a real problem, as  during the study significant elevations of TG were  observed as well as a decrease in HDL-C, which  increases the risk of cardiovascular disease and leads  to the premature development of MS.</font></p>     <p align="justify"><font face="Verdana" size="2">  Knowledge of the risk factors of CVD in children is  very useful because it allows for prevention initiatives  at an early age, which in turn reduces the incidence of  cardiovascular disease in the future.  It has been suggested that the waist to height ratio  (WHtR) above 5 can detect early cardiovascular risk  factors, this was evidenced in overweight and obesity  children.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  <b>ACKNOWLEDGEMENT</b></font></p>     <p align="justify"><font face="Verdana" size="2">  The authors wish to thank the students and the  academic and administrative staff of educational  institutions IED Llano Oriental and Integral Liceo los  Alisos for their great help and support in the project.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>REFERENCES</b></font></p>     <p align="justify"><font face="Verdana" size="2">  1. Freedman D, Dietz W, Srinivasan S, Berenson G. The  relation of overweight to cardiovascular risk factors  among children and adolescents: The Bogalusa Heart  Study. Pediatrics. 1999; 103(6 Pt 1): p. 1175-82.</font></p>     <p align="justify"><font face="Verdana" size="2">  2. Uscátegui Peñuela , Álvarez Uribe , Laguado Salinas  I, Soler Terranova , Martínez Maluendas , Arias  Arteaga, R, et al. Factores de riesgo cardiovascular  en niños de 6 a 18 años de Medellín (Colombia). An  Pediatr. 2003; 58(5): p. 411-17.</font></p>     <p align="justify"><font face="Verdana" size="2">  3. Instituto Colombiano de Bienestar Familiar, Instituto  Nacional de Salud, Ministerio de la Protección Social.  Resumen Ejecutivo ENSIN 2010. Bogotá, Colombia;  [Online]. 2011.[cited 2014 Nov 19] Available  from:  <a href="http://www.bogotamasactiva.gov.co/files/ResumenEjecutivoENSIN202010.pdf">http://www.bogotamasactiva.gov.co/files/ResumenEjecutivoENSIN202010.pdf</a>.&nbsp; </font></p>     <p align="justify"><font face="Verdana" size="2">  4. Fajardo Bonilla E, Ángel LA. Prevalencia de  sobrepeso y obesidad, consumo de alimentos y  patrón de actividad física en una población de niños  escolares de la Ciudad de Bogotá. Rev Med. 2012  enero-junio; 20(1): p. 101-16.</font></p>     <p align="justify"><font face="Verdana" size="2">  5. Visser. Estado nutricional y perfil lipídico en escolares  de 6 a 11 años en Aruba. Rev Cubana Aliment Nutr.  2008; 18(1): p. 32-42.</font></p>     <p align="justify"><font face="Verdana" size="2">  6. Heller-Rouassant S. Dislipidemias en niños y  adolescentes:diagnóstico y prevención. Bol Med  Hosp Infant. 2006 may.jun.; 63(3): p. 158-61.</font></p>     <p align="justify"><font face="Verdana" size="2">  7. Burrows A. R, Atalah S. E, Leiva B. L, Rojas M.  P, Maza MP, Vásquez V. , et al. Prevalencia del  sindrome metabolico en niños y adolescentes chilenos  con historia familiar de enfermedades cronicas no  transmisibles. Arch Latinoam Nutr. 2012; 62(2): p.  155-60.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  8. Ministerio de la Protección Social. ICBF. Instituto  Nacional de salud. Instructivo para la Implementación  de los Patrones de Crecimiento de la OMS en  Colombia. niños, niñas y adolescentes de 0 a 18 años  Bogotá; 2010.</font></p>     <p align="justify"><font face="Verdana" size="2">  9. Control. Waist circumference in centimeters for  persons 2 - 19 years-number of examined persons,  means, standard error of the mean and selected  percentiles, by sex and age: United States, 1988-  1994. In: CDC; 1988- 1994. [Online]. 2009 [cited  22 April 2014]. Available from:  <a href="http://www.cdc.gov/nchs/data/nhanes/t47.pdf">www.cdc.gov/nchs/data/nhanes/t47.pdf</a> .</font></p>     <p align="justify"><font face="Verdana" size="2">  10. NCEP. American Academy of Pediatrics. National  Cholesterol Education Program: Report of the Expert  Panel on Blood Cholesterol Levels in Children and  Adolescents. Pediatrics. 1992; 89(suppl 3): p. 525-84.</font></p>     <p align="justify"><font face="Verdana" size="2">  11. Zimmet P, Alberti G, Kaufman F, Tajima N, Silink  M, Arslanian S, et al. The metabolic syndrome in  children and adolescents:the IDF consensus. Diabetes  Voice. 2007; 52(4): p. 29-32.</font></p>     <p align="justify"><font face="Verdana" size="2">  12. Cook S, Weitzman M, Auinger P, Nguyen M, Dietz  Wh. Prevalence of a Metabolic Syndrome Phenotype  in adolescents: Findings from the Third National  Health and Nutrition Examination Survey, 1988-  1994. Arch Pediatr Adolesc Med. 2003; 157(8): p.  821-27.</font></p>     <p align="justify"><font face="Verdana" size="2">  13. National Cholesterol Education Program. Detection,  Evaluation, and Treatment of High Blood Cholesterol  in Adults (Adult Treatment Panel III) Final Report.  Bethesda: Maryland: National Institutes of Health.  Publication Nº 02-5215. Circulation [Online]. 2002  [cited 20 Nov 2014];106 (25): 3143-22. Available  from: <a href="http://www.nhlbi.nih.gov/files/docs/resources/heart/atp3full.pdf">http://www.nhlbi.nih.gov/files/docs/resources/heart/atp3full.pdf</a> .</font></p>     <p align="justify"><font face="Verdana" size="2">  14. Rangel Baltazar E, Villalpando. Índice cintura/  estatura como predictor de presión arterial en niños  mexicanos. Revista de Investigación Clínica. 2014;  66(1): p. 17-23.</font></p>     <p align="justify"><font face="Verdana" size="2">  15. Ashwell M, Hsieh S. Six reasons why the waist-toheight  ratio is a rapid and effective global indicator  for health risks of obesity and how its use could  simplify the international public health message on  obesity. Int J Food Sci Nutr. 2005; 56(5): p. 303-07.</font></p>     <p align="justify"><font face="Verdana" size="2">  16. Savino P. Obesidad y enfermedades no transmisibles  relacionadas con la nutrición. Rev Colomb Cir. 2011;  26(1): p. 180-95.</font></p>     <p align="justify"><font face="Verdana" size="2">  17. Rosillo I, Pituelli N, Corbera M, ioi S, Turco  M, D´Arrigo M, et al. Perfil lipídico en niños y  adolescentes de una población escolar. Arch.argent.  pediatr. 2005; 103(4): p. 293-97.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  18. Palacios Mancilla S, Rubio Lezama M, De la Torre  López M, Arrevillaga López A. Riesgo cardiovascular  y alteraciones metabólicas en niños. Rev Med Inst  Mex Seguro Soc. 2012; 50(3): p. 285-88.</font></p>     <p align="justify"><font face="Verdana" size="2">  19. Lozada M, Machado S, Manrique M, Martínez D,  Suarez O, Guevara H. Factores de riesgo asociados  al síndrome metabólico en adolescentes. Gac Méd  Caracas. 2008 Diciembre; 116(4): p. 323-29.</font></p>     <p align="justify"><font face="Verdana" size="2">  20. Marcano , Solano , Pontiles. Prevalencia de  hiperlipidemia e hiperglicemia en niños obesos  ¿riesgo aumentado de enfermedad cardiovascular?  Nutr Hosp. 2006; 21(4): p. 474-83.</font></p>     <p align="justify"><font face="Verdana" size="2">  21. Leeson CPM, Whincup P, Cook DG. Cholesterol and  Arterial Distensibility in the First Decade of Life. A  Population- Based Study. Circulation. 2000; 101: p.  1533-38.</font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  22. Väistö J, Aino-Maija E, Viitasalo A, Tompuri T,  Lintu N, Karjalainen P, et al. Physical activity and  sedentary behaviour in relation to cardiometabolic  risk in children: cross-sectional findings from the  Physical Activity and Nutrition in Children (PANIC)  Study. International Journal of Behavioral Nutrition  and Physical Activity. 2014; 11(55).    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=532329&pid=S0004-0622201600010000300019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p align="justify"><font face="Verdana" size="2">  23. Bamba V. Update on Screening, Etiology, and  Treatment of Dyslipidemia in Children. 2014  September; 99(9): p. 3093–102.</font></p>     <p align="justify"><font face="Verdana" size="2">  24. Cervantes J, Acoltzin C, Aguayo. Diagnóstico y  prevalencia de hipertensión arterial en menores de  19 años en la ciudad de Colima. Salud Pública Mex.  2000; 42: p. 529-32.</font></p>     <p align="justify"><font face="Verdana" size="2">  25. Poletti O, Barioos L. Obesidad e hipertensión arterial  en escolares de la ciudad de Corrientes, Argentina.  Arch Argent Pediatr. 2007; 105(4): p. 293-98.</font></p>     <p align="justify"><font face="Verdana" size="2">  26. Carballo Martínez R, Bosch Salado C, Piñeiro Lamas  R, Durán Almenares A, Fernández-Britto JE. La  hipertensión y la obesidad en el niño como factores  potenciales de riesgo aterosclerótico en el adulto  joven. Rev Cubana Invest Biomed. 1998; 17(2): p.  173-78.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  27. Dei-Cas SA, Dei-Cas IJ, Dei-Cas PG, Szyrma E,  Ciancia L, Comas JP, et al. Estudio de la presión  arterial en adolescentes de 15 años. Su relación con  características antropométricas y factores de riesgo  de hipertensión arterial. Arch.argent.pediatr. 2000;  98(3): p. 161-70.</font></p>     <p align="justify"><font face="Verdana" size="2">  28. Aregullin Eligio EO, Alcorta Garza MC. Prevalencia  y factores de riesgo de hipertensión arterial en  escolares mexicanos: caso Sabinas Hidalgo. salud  pública de méxico. 2009 enero-febrero; 51(1): p. 14-  8.</font></p>     <p align="justify"><font face="Verdana" size="2">  29. Arnaiz P, Marín , Pino F, Barja S, Aglony M,  Navarrete C, et al. Índice cintura estatura y  agregación de componentes cardiometabólicos en  niños y adolescentes de Santiago. Rev Med Chile.  2010; 138(11): p. 1378-85.</font></p>     <p align="justify"><font face="Verdana" size="2">  30. Browning L, Hsieh S, Ashwell M. A systematic  review of waist-to-height ratio as a screening tool for  the prediction of cardiovascular disease and diabetes:  0•5 could be a suitable global boundary value. Nutr  Res Rev. 2010; 23(2): p. 247-69.</font></p>     <p align="justify"><font face="Verdana" size="2">  31. Cerda R, Gálvez , Palomino , Vásquez , Morales  G, Andrade M, et al. Concordancia entre índice  cintura-talla y otros criterios para clasificar obesidad  abdominal en escolares chilenos. Rev Esp Nutr  Comunitaria. 2013; 19(1): p. 13-9.</font></p>     <p align="justify"><font face="Verdana" size="2">  32. Arnaiz P, Acevedo M, Díaz C, Bancalari R, Barja S,  Aglony , et al. Razón cintura estatura como predictor  de riesgo cardiometabólico en niños. Rev Chil  Cardiol. 2010; 29(3): p. 281–88.</font></p>     <p align="justify"><font face="Verdana" size="2">  33. Castillo , Borges G, Talavera J, Orozco R, Vargas-  Aleman C, Bravo G. Body mass index and the  prevalence of metabolic syndrome among children  and adolescents in two mexican populations. J  Adolesc Health. 2007; 40: p. 521-26. </font></p>     <p align="justify"><font face="Verdana" size="2">  34. Burrows R, Leiva L, Weistaub G, Ceballos X,  Gattas V, Lera L. Síndrome metabólico en niños y  adolescentes: asociación con sensibilidad insulínica  y con magnitud y distribución de la obesidad. Rev  Méd Chile. 2007; 135(2): p. 174-81.</font></p>     <p align="justify"><font face="Verdana" size="2">  35. National High Blood Pressure Education Program  Working Group on High Blood Pressure in Children  and Adolescents. The fourth report on the diagnosis,  evaluation, and treatment of high blood pressure in  children and adolescents. Pediatrics. 2004; 114(2): p.  555-76.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>Recibido: </b>04-07-2015  <b>Aceptado: </b>19-10-2015</font></p>      ]]></body>
<body><![CDATA[ ]]></body>
<back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Freedman]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Dietz]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Srinivasan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Berenson]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[The relation of overweight to cardiovascular risk factors among children and adolescents: The Bogalusa Heart Study]]></article-title>
<source><![CDATA[Pediatrics.]]></source>
<year>1999</year>
<volume>103</volume>
<numero>6 Pt 1</numero>
<issue>6 Pt 1</issue>
<page-range>1175-82</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Uscátegui]]></surname>
<given-names><![CDATA[Peñuela]]></given-names>
</name>
<name>
<surname><![CDATA[Álvarez]]></surname>
<given-names><![CDATA[Uribe]]></given-names>
</name>
<name>
<surname><![CDATA[Laguado]]></surname>
<given-names><![CDATA[Salinas I]]></given-names>
</name>
<name>
<surname><![CDATA[Soler]]></surname>
<given-names><![CDATA[Terranova]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[Maluendas]]></given-names>
</name>
<name>
<surname><![CDATA[Arias]]></surname>
<given-names><![CDATA[Arteaga]]></given-names>
</name>
<name>
<surname><![CDATA[R,]]></surname>
<given-names><![CDATA[et al]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Factores de riesgo cardiovascular en niños de 6 a 18 años de Medellín (Colombia)]]></article-title>
<source><![CDATA[An Pediatr.]]></source>
<year>2003</year>
<volume>58</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>411-17</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="">
<collab>Ministerio de la Protección Social^dInstituto Colombiano de Bienestar Familiar</collab>
<source><![CDATA[Resumen Ejecutivo ENSIN 2010]]></source>
<year>2011</year>
<publisher-loc><![CDATA[Bogotá ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fajardo]]></surname>
<given-names><![CDATA[Bonilla E]]></given-names>
</name>
<name>
<surname><![CDATA[Ángel]]></surname>
<given-names><![CDATA[LA]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Prevalencia de sobrepeso y obesidad consumo de alimentos y patrón de actividad física en una población de niños escolares de la Ciudad de Bogotá]]></article-title>
<source><![CDATA[Rev Med.]]></source>
<year>2012</year>
<month>en</month>
<day>er</day>
<volume>20</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>101-16</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[x,]]></surname>
<given-names><![CDATA[Visser]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Estado nutricional y perfil lipídico en escolares de 6 a 11 años en Aruba]]></article-title>
<source><![CDATA[Rev Cubana Aliment Nutr.]]></source>
<year>2008</year>
<volume>18</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>32-42</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Heller-Rouassant]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Dislipidemias en niños y adolescentes: diagnóstico y prevención]]></article-title>
<source><![CDATA[Bol Med Hosp Infant.]]></source>
<year>2006</year>
<month>ma</month>
<day>y.</day>
<volume>63</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>158-61</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Burrows]]></surname>
<given-names><![CDATA[A.R]]></given-names>
</name>
<name>
<surname><![CDATA[Atalah]]></surname>
<given-names><![CDATA[S.E]]></given-names>
</name>
<name>
<surname><![CDATA[Leiva]]></surname>
<given-names><![CDATA[B.L]]></given-names>
</name>
<name>
<surname><![CDATA[Rojas]]></surname>
<given-names><![CDATA[M.P]]></given-names>
</name>
<name>
<surname><![CDATA[Maza]]></surname>
<given-names><![CDATA[MP]]></given-names>
</name>
<name>
<surname><![CDATA[Vásquez]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[et]]></surname>
<given-names><![CDATA[al]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Prevalencia del sindrome metabolico en niños y adolescentes chilenos con historia familiar de enfermedades cronicas no transmisibles]]></article-title>
<source><![CDATA[Arch Latinoam Nutr.]]></source>
<year>2012</year>
<volume>62</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>155-60</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>10</label><nlm-citation citation-type="journal">
<collab>NCEP</collab>
<article-title xml:lang="en"><![CDATA[National Cholesterol Education Program: Report of the Expert Panel on Blood Cholesterol Levels in Children and Adolescents]]></article-title>
<source><![CDATA[Pediatrics.]]></source>
<year>1992</year>
<volume>89</volume>
<numero>suppl 3</numero>
<issue>suppl 3</issue>
<page-range>525-84</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zimmet]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Alberti]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Kaufman]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Tajima]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Silink]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Arslanian]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[et]]></surname>
<given-names><![CDATA[al]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The metabolic syndrome in children and adolescents: the IDF consensus]]></article-title>
<source><![CDATA[Diabetes Voice.]]></source>
<year>2007</year>
<volume>52</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>29-32</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cook]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Weitzman]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Auinger]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Dietz]]></surname>
<given-names><![CDATA[Wh]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Prevalence of a Metabolic Syndrome Phenotype in adolescents: Findings from the Third National Health and Nutrition Examination Survey 1988- 1994]]></article-title>
<source><![CDATA[Arch Pediatr Adolesc Med.]]></source>
<year>2003</year>
<volume>157</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>821-27</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rangel]]></surname>
<given-names><![CDATA[Baltazar E, Villalpando]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Índice cintura/ estatura como predictor de presión arterial en niños mexicanos]]></article-title>
<source><![CDATA[Revista de Investigación Clínica.]]></source>
<year>2014</year>
<volume>66</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>17-23</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ashwell]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Hsieh]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Six reasons why the waist-toheight ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity]]></article-title>
<source><![CDATA[Int J Food Sci Nutr.]]></source>
<year>2005</year>
<volume>56</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>303-07</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Savino]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Obesidad y enfermedades no transmisibles relacionadas con la nutrición]]></article-title>
<source><![CDATA[Rev Colomb Cir.]]></source>
<year>2011</year>
<volume>26</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>180-95</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rosillo]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Pituelli]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Corbera]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ioi]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Turco]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[D´Arrigo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Perfil lipídico en niños y adolescentes de una población escolar]]></article-title>
<source><![CDATA[Arch.Argent. Pediatr.]]></source>
<year>2005</year>
<volume>103</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>293-97</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Palacios]]></surname>
<given-names><![CDATA[Mancilla S]]></given-names>
</name>
<name>
<surname><![CDATA[Rubio]]></surname>
<given-names><![CDATA[Lezama M]]></given-names>
</name>
<name>
<surname><![CDATA[De]]></surname>
<given-names><![CDATA[la Torre López M]]></given-names>
</name>
<name>
<surname><![CDATA[Arrevillaga]]></surname>
<given-names><![CDATA[López A]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Riesgo cardiovascular y alteraciones metabólicas en niños]]></article-title>
<source><![CDATA[Rev Med Inst Mex Seguro Soc.]]></source>
<year>2012</year>
<volume>50</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>285-88</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lozada]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Machado]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Manrique]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Suarez]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Guevara]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Factores de riesgo asociados al síndrome metabólico en adolescentes]]></article-title>
<source><![CDATA[Gac Méd Caracas.]]></source>
<year>2008</year>
<month>Di</month>
<day>ci</day>
<volume>116</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>323-29</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marcano]]></surname>
<given-names><![CDATA[Solano, Pontiles]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Prevalencia de hiperlipidemia e hiperglicemia en niños obesos ¿riesgo aumentado de enfermedad cardiovascular?]]></article-title>
<source><![CDATA[Nutr Hosp.]]></source>
<year>2006</year>
<volume>21</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>474-83</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leeson]]></surname>
<given-names><![CDATA[CPM]]></given-names>
</name>
<name>
<surname><![CDATA[Whincup]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Cook]]></surname>
<given-names><![CDATA[DG]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Cholesterol and Arterial Distensibility in the First Decade of Life A Population- Based Study]]></article-title>
<source><![CDATA[Circulation.]]></source>
<year>2000</year>
<volume>101</volume>
<page-range>1533-38</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Väistö]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Aino-Maija]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Viitasalo]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Tompuri]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Lintu]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Karjalainen]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: cross-sectional findings from the Physical Activity and Nutrition in Children (PANIC) Study]]></article-title>
<source><![CDATA[International Journal of Behavioral Nutrition and Physical Activity.]]></source>
<year>2014</year>
<volume>11</volume>
<numero>55</numero>
<issue>55</issue>
</nlm-citation>
</ref>
<ref id="B20">
<label>23</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bamba]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<source><![CDATA[Update on Screening Etiology and Treatment of Dyslipidemia in Children]]></source>
<year>2014</year>
<month> S</month>
<day>ep</day>
<volume>99</volume>
<page-range>3093-102</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cervantes]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Acoltzin]]></surname>
<given-names><![CDATA[C, Aguayo]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Diagnóstico y prevalencia de hipertensión arterial en menores de 19 años en la ciudad de Colima]]></article-title>
<source><![CDATA[Salud Pública Mex.]]></source>
<year>2000</year>
<volume>42</volume>
<page-range>529-32</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Poletti]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Barioos]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Obesidad e hipertensión arterial en escolares de la ciudad de Corrientes, Argentina]]></article-title>
<source><![CDATA[Arch Argent Pediatr.]]></source>
<year>2007</year>
<volume>105</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>293-98</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carballo]]></surname>
<given-names><![CDATA[Martínez R]]></given-names>
</name>
<name>
<surname><![CDATA[Bosch]]></surname>
<given-names><![CDATA[Salado C]]></given-names>
</name>
<name>
<surname><![CDATA[Piñeiro]]></surname>
<given-names><![CDATA[Lamas R]]></given-names>
</name>
<name>
<surname><![CDATA[Durán]]></surname>
<given-names><![CDATA[Almenares A]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández-Britto]]></surname>
<given-names><![CDATA[JE]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[La hipertensión y la obesidad en el niño como factores potenciales de riesgo aterosclerótico en el adulto joven]]></article-title>
<source><![CDATA[Rev Cubana Invest Biomed.]]></source>
<year>1998</year>
<volume>17</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>173-78</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dei-Cas]]></surname>
<given-names><![CDATA[SA]]></given-names>
</name>
<name>
<surname><![CDATA[Dei-Cas]]></surname>
<given-names><![CDATA[IJ]]></given-names>
</name>
<name>
<surname><![CDATA[Dei-Cas]]></surname>
<given-names><![CDATA[PG]]></given-names>
</name>
<name>
<surname><![CDATA[Szyrma]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Ciancia]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Comas]]></surname>
<given-names><![CDATA[JP]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Estudio de la presión arterial en adolescentes de 15 años]]></article-title>
<source><![CDATA[Su relación con características antropométricas y factores de riesgo de hipertensión arterial. Arch.argent.pediatr.]]></source>
<year>2000</year>
<volume>98</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>161-70</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aregullin]]></surname>
<given-names><![CDATA[Eligio EO]]></given-names>
</name>
<name>
<surname><![CDATA[Alcorta]]></surname>
<given-names><![CDATA[Garza MC]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Prevalencia y factores de riesgo de hipertensión arterial en escolares mexicanos: caso Sabinas Hidalgo]]></article-title>
<source><![CDATA[salud pública de méxico.]]></source>
<year>2009</year>
<month>en</month>
<day>er</day>
<volume>51</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>14- 8</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arnaiz]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Marín-Pino]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Barja]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Aglony]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Navarrete]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Índice cintura estatura y agregación de componentes cardiometabólicos en niños y adolescentes de Santiago]]></article-title>
<source><![CDATA[Rev Med Chile.]]></source>
<year>2010</year>
<volume>138</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1378-85</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Browning]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Hsieh]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Ashwell]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0•5 could be a suitable global boundary value]]></article-title>
<source><![CDATA[Nutr Res Rev.]]></source>
<year>2010</year>
<volume>23</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>247-69</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cerda]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Gálvez]]></surname>
<given-names><![CDATA[Palomino]]></given-names>
</name>
<name>
<surname><![CDATA[Vásquez-Morales]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Andrade]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Concordancia entre índice cintura-talla y otros criterios para clasificar obesidad abdominal en escolares chilenos]]></article-title>
<source><![CDATA[Rev Esp Nutr Comunitaria.]]></source>
<year>2013</year>
<volume>19</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>13-9</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arnaiz]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Acevedo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Díaz]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Bancalari]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Barja]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Aglony]]></surname>
<given-names><![CDATA[x]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Razón cintura estatura como predictor de riesgo cardiometabólico en niños]]></article-title>
<source><![CDATA[Rev Chil Cardiol.]]></source>
<year>2010</year>
<volume>29</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>281-88</page-range></nlm-citation>
</ref>
<ref id="B30">
<label>33</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo Borges]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Talavera]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Orozco]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Vargas-Aleman]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Bravo]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Body mass index and the prevalence of metabolic syndrome among children and adolescents in two mexican populations]]></article-title>
<source><![CDATA[J Adolesc Health.]]></source>
<year>2007</year>
<volume>40</volume>
<page-range>521-26</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Burrows]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Leiva]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Weistaub]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Ceballos]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Gattas]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Lera]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Síndrome metabólico en niños y adolescentes: asociación con sensibilidad insulínica y con magnitud y distribución de la obesidad]]></article-title>
<source><![CDATA[Rev Méd Chile.]]></source>
<year>2007</year>
<volume>135</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>174-81</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>35</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[National]]></surname>
<given-names><![CDATA[High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[The fourth report on the diagnosis evaluation and treatment of high blood pressure in children and adolescents]]></article-title>
<source><![CDATA[Pediatrics.]]></source>
<year>2004</year>
<volume>114</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>555-76</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
