<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2015.73043</article-id><article-id pub-id-type="publisher-id">Health-54820</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Homocysteine and Cardiovascular Risk Factors in Overweight or Obese Children and Adolescents
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>driana</surname><given-names>Amorim de Farias Leal</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mônica</surname><given-names>Oliveira da Silva Simões</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alessandra</surname><given-names>Teixeira</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Carla</surname><given-names>Campos Muniz Medeiros</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ástrid</surname><given-names>Camêlo Palmeira</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gabriella</surname><given-names>Menezes Almeida de Castro</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mayara</surname><given-names>Larrys Gomes de Assis</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maísa</surname><given-names>Soares de Oliveira</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Graduate Program in Public Health, State University of Paraiba, Campina Grande, Brazil</addr-line></aff><aff id="aff2"><addr-line>Department of Pharmacy, State University of Paraiba, Campina Grande, Brazil</addr-line></aff><aff id="aff3"><addr-line>Department of Nursing, State University of Paraiba, Campina Grande, Brazil</addr-line></aff><aff id="aff4"><addr-line>Scientific Initiation Program, State University of Paraiba, Campina Grande, Brazil</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>adriana-aafl@uol.com.br(DADFL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>10</day><month>03</month><year>2015</year></pub-date><volume>07</volume><issue>03</issue><fpage>381</fpage><lpage>389</lpage><history><date date-type="received"><day>14</day>	<month>January</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>12</month>	<year>March</year>	</date><date date-type="accepted"><day>19</day>	<month>March</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Among the extrinsic factors, homocysteine (Hy) stands out, which is an intermediate amino acid of the intracellular metabolism of methionine involved in the process of cellular oxidation, which promotes the installation of atheromatous plaques and, therefore, is considered as an emerging cardiovascular risk factor. Objective: To evaluate the plasma homocysteine levels (Hy) in overweight or obese children and adolescents and their relation with cardiovascular risk factors. Methods: A cross-sectional study was conducted from July 2011 to May 2012 with overweight or obesity children and adolescents aged 2 to 18 years followed at the Center for Childhood Obesity (IOC), Campina Grande-PB. A structured form was used to record demographic, socioeconomic and clinics variables and the patients underwent laboratory tests to define their lipid and glucose profiles and measurement of plasma Hy levels. Results: The study evaluated a total of 165 children and adolescents with mean age of 12.5 (&#177;2.5) years; the majority were female (57.0%). Regarding the lipid profile, there was more individuals with low HDL cholesterol (88.5%). Plasma Hy levels were high in 24.2% of the sample. The mean Hy levels ranged from 4.3 to 18.9 μmol/L, being higher in males, obese adolescents and also in patients with high insulin levels and resistance. Conclusions: The results shown in this study emphasize the importance of detecting and controlling the plasma Hy levels as an independent cardiovascular risk factor, and the need for further studies to evaluate the clinical and biological factors related to alterations in its metabolism.
 
</p></abstract><kwd-group><kwd>Homocysteine</kwd><kwd> Cardiovascular Diseases</kwd><kwd> Child</kwd><kwd> Adolescent</kwd><kwd> Obesity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>A significant increase in overweight and obesity among children and adolescents has been observed in developed and developing countries. In this context, overweight is an important risk marker for various diseases, particularly cardiovascular diseases (CVD) [<xref ref-type="bibr" rid="scirp.54820-ref1">1</xref>] .</p><p>The etiogeny of CVD is associated with some risk factors that can be classified into two groups: intrinsic, or not susceptible to modification (age, sex, heredity) and extrinsic factors, or those that can be modified (dyslipidemia, diet, smoking, physical inactivity) [<xref ref-type="bibr" rid="scirp.54820-ref2">2</xref>] .</p><p>Among the extrinsic factors, homocysteine (Hy) stands out, which is an intermediate amino acid of the intracellular metabolism of methionine involved in the process of cellular oxidation, which promotes the installation of atheromatous plaques and, therefore, is considered as an emerging cardiovascular risk factor [<xref ref-type="bibr" rid="scirp.54820-ref3">3</xref>] .</p><p>Plasma Hy levels can be determined by genetic, biological, nutritional, hormonal and lifestyle factors [<xref ref-type="bibr" rid="scirp.54820-ref4">4</xref>] . Therefore, it is essential to investigate possible factors that are directly relate to the Hy concentrations such as enzyme deficit, low consumption of folate and vitamin B12, age, being male, high alcohol consumption and estradiol levels [<xref ref-type="bibr" rid="scirp.54820-ref5">5</xref>] .</p><p>Considering, therefore, that the atherosclerotic process begins long before clinical aspects are detected, the cardiovascular risk factors, traditional or not, arise mainly with excess weight and the fatty streaks are observed even in childhood, is appropriate deepen the knowledge about childhood obesity and cardiovascular disease through research of its risk factors, such as Hy, especially since this intermediate of protein metabolism is involved in the understanding of vascular obstruction caused by atherosclerotic plaques, and therefore, necessary studies to identify factors associated with hyperhomocysteinemia [<xref ref-type="bibr" rid="scirp.54820-ref6">6</xref>] .</p><p>Given the above, the aim of this study was to evaluate plasma Hy levels in overweight or obese children and adolescents and their relationship with cardiovascular risk factors.</p></sec><sec id="s2"><title>2. Methodology</title><p>A cross-sectional study with quantitative approach was conducted, with data being collected from July 2011 to May 2012 with patients followed at the Center for Childhood Obesity (IOC), located at the “Elp&#237;deo de Almeida” Institute of Health in Campina Grande-PB. A cross-sectional studies are viewing the status of a population in a given moment, as snapshots of reality. Describe the situation in a given time and for this reason often are classified wrongly as descriptive, as in reality, these studies allow the first time analysis of an association. The quantitative analysis of the studies, in turn, refers to submission of survey data numerically, classified and analyzed using statistical techniques.</p><p>This study is part of a broader project entitled “Cardiovascular and type-2 diabetes risk in obese children and adolescents with metabolic syndrome: a longitudinal study”, approved by the Ethics Committee of the State University of Para&#237;ba, under CAAE No. 0256.0.133.000-11.</p><p>The convenience sample was composed of overweight/obese children and adolescents aged from 2 and 18 years. In this period, 200 children and adolescents were followed at the IOC, of whom 26 did not accept performing blood collection; five were excluded as they were older than 19 years and four for having normal nutritional status, totaling 165 individuals.</p><p>Nutritional status was determined by calculating the body mass index (BMI). Patients with from 85<sup>th</sup> to 95<sup>th</sup> percentiles were classified as overweight and as obese those with ≥95<sup>th</sup> percentile, defined as recommended by the Centers for Disease Control and Prevention [<xref ref-type="bibr" rid="scirp.54820-ref7">7</xref>] . Children, adolescents and their mothers were weighed on calibrated scales with accuracy of 0.1 kg. Height was measured in rigid stadiometer with accuracy of 0.01 cm. To assess maternal nutritional status, the criteria proposed by the World Health Organization―WHO were used [<xref ref-type="bibr" rid="scirp.54820-ref8">8</xref>] .</p><p>Regarding family history of CVD (Systemic hypertension, type-2 diabetes, hypercholesterolemia, hypertriglyceridemia, acute myocardial infarction and stroke), the study considered the report of at least one of these events in first-degree relatives: parents, grandparents, aunts and uncles.</p><p>Waist circumference was measured at the midpoint between the lateral iliac crest and the lower edge of the last rib during expiration. Values above the 90<sup>th</sup> percentile for age and sex were considered high, according to criteria proposed by the International Diabetes Federation [<xref ref-type="bibr" rid="scirp.54820-ref9">9</xref>] , observing the upper limit of 88 cm for girls and 102 cm for boys, according to the National Cholesterol Education Program/Adult Treatment Panel III.</p><p>Blood pressure was measured three times by auscultation, with interval of 2 minutes, considering the average of the last two measures. The criteria for the diagnosis of high blood pressure followed the VI Brazilian Guidelines on Hypertension [<xref ref-type="bibr" rid="scirp.54820-ref10">10</xref>] . For individuals up to 17 years of age, those with systolic and/or diastolic blood pressure greater than or equal to the 90<sup>th</sup> percentile have been diagnosed with high blood pressure. For individuals older than 17 years, those with systolic blood pressure greater than or equal to 140 mmHg and diastolic blood pressure greater than or equal to 90 mmHg have been diagnosed with high blood pressure.</p><p>For biochemical analyzes, patients were submitted to a 12-hour fasting period before blood collection of 10 mL. Triglycerides, total cholesterol and fractions and glucose levels were measured by the enzymatic colorimetric method. The cutoff points for unsatisfactory lipid levels were determined by the I Guideline for Prevention of Atherosclerosis in Childhood and Adolescence [<xref ref-type="bibr" rid="scirp.54820-ref11">11</xref>] . Hyperglycemia was determined from values equal to or greater than 100 mg/dL, in accordance with criteria established by the American Diabetes Association [<xref ref-type="bibr" rid="scirp.54820-ref12">12</xref>] . Regarding insulin, measured by chemiluminescence, values greater than or equal to 15 μUI/mL were considered high (61). The insulin resistance level (HOMA-IR) was calculated as the product of insulin levels by blood glucose and dividing the result by 22.5, with HOMA-IR ≥ 2.5 being considered as cutoff [<xref ref-type="bibr" rid="scirp.54820-ref13">13</xref>] .</p><p>The method used for Hy determination was the High Performance Liquid Chromatography (HPLC) and the reference values adopted for this study were those suggested by Refsum et al. [<xref ref-type="bibr" rid="scirp.54820-ref14">14</xref>] , which established values higher than or equal to 10 mmol/L as high for individuals under 14 years of age, and values higher than or equal to 15 mmol/L as high for those aged 15 years or more.</p><p>Biochemical determinations were performed at the Clinical Laboratory of the State University of Para&#237;ba, except for insulin dosages and Hy, which were performed at another laboratory, with funding by research incentives, certified by the Brazilian Society of Clinical Analyses.</p><p>Descriptive statistical analysis was carried out by mean, standard deviation and frequencies, and data were analyzed using the SPSS software, version 17.0. For the association between Hy and the other cardiovascular risk factors, the Chi-square test was used and to compare means, analysis of variance was used. The significance level adopted was 5.</p></sec><sec id="s3"><title>3. Results</title><p>Of the total of 165 children and adolescents evaluated, the mean age was 12.5 (&#177;3.5) for the total sample, and 8.9 (&#177;2.1) for the children and 14.3 (&#177;4.1) years for the adolescents. Most were female (57.0%), adolescents (75.2%) and non-white skin color (63.6%). Demographic and socioeconomic variables are described in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p><xref ref-type="table" rid="table2">Table 2</xref> describes the variable family history. The majority of patients showed three or more antecedents (78.8%), and the most frequent was hypertension (84.8%).</p><p>In relation to the other clinical variables, 83.0% of the sample showed nutritional status of obesity. Regarding the lipid profile, there is a greater number of individuals with low HDL cholesterol (88.5%). Plasma Hy levels were high in 25.0% of the sample.</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows the frequency and odds ratios with respective confidence intervals (CI 95%) for cardiovascular risk factors according to the plasma Hy levels.</p><p>The mean Hy value was 9.2 μmol/L (&#177;2.9), with minimum value of 4.3 μmol/L and maximum value of 18.9 μmol/L. When compared by cardiovascular risk factor, it was found that the means were significantly higher in the following groups: males, adolescents, patients with obesity, higher insulin levels and presence of insulin resistance (<xref ref-type="table" rid="table4">Table 4</xref>). There was statistical significance between Hy and age, sex, and insulin resistance.</p></sec><sec id="s4"><title>4. Discussion</title><p>The fact that CVD may originate in childhood and adolescence leads to the need for a wide investigation of cardiovascular risk factors in this phase, aiming at early intervention and thus reducing morbidity and mortality in adulthood [<xref ref-type="bibr" rid="scirp.54820-ref15">15</xref>] .</p><p>According to Bereson et al. [<xref ref-type="bibr" rid="scirp.54820-ref16">16</xref>] , cardiovascular risk is directly proportional to the obesity degree. The IOC</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Percentage distribution of demographic and socioeconomic data, according to the sex of overweight/obese children and adolescents followed at the IOC (n = 165), Campina Grande, 2011-2012</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Sex</th></tr></thead><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >Female</td></tr><tr><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" >n (%)</td></tr><tr><td align="center" valign="middle" >Age group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Child (2 to 9 years)</td><td align="center" valign="middle" >21 (51.2)</td><td align="center" valign="middle" >20 (48.8)</td></tr><tr><td align="center" valign="middle" >Adolescent (10 to 19 incomplete years)</td><td align="center" valign="middle" >50 (40.3)</td><td align="center" valign="middle" >74 (59.7)</td></tr><tr><td align="center" valign="middle" >Nutritional Status of Children/Adolescents</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Overweight (85 ≤ pBMI &lt; 95)</td><td align="center" valign="middle" >08 (28.6)</td><td align="center" valign="middle" >20 (71.4)</td></tr><tr><td align="center" valign="middle" >Obesity (pBMI ≥ 95)</td><td align="center" valign="middle" >63 (46.0)</td><td align="center" valign="middle" >74 (54.0)</td></tr><tr><td align="center" valign="middle" >Skin color</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >White</td><td align="center" valign="middle" >25 (41.7)</td><td align="center" valign="middle" >35 (58.3)</td></tr><tr><td align="center" valign="middle" >Non-white</td><td align="center" valign="middle" >46 (43.8)</td><td align="center" valign="middle" >59 (56.2)</td></tr><tr><td align="center" valign="middle" >Type of school</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Private</td><td align="center" valign="middle" >34 (41.5)</td><td align="center" valign="middle" >48 (58.5)</td></tr><tr><td align="center" valign="middle" >Public</td><td align="center" valign="middle" >36 (44.4)</td><td align="center" valign="middle" >45 (55.6)</td></tr><tr><td align="center" valign="middle" >Not enrolled</td><td align="center" valign="middle" >01 (50.0)</td><td align="center" valign="middle" >01 (50.0)</td></tr><tr><td align="center" valign="middle" >Total family income</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤two MW</td><td align="center" valign="middle" >38 (46.9)</td><td align="center" valign="middle" >43 (53.1)</td></tr><tr><td align="center" valign="middle" >&gt;two MW</td><td align="center" valign="middle" >33 (39.3)</td><td align="center" valign="middle" >51 (60.7)</td></tr><tr><td align="center" valign="middle" >Number of household members</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2 - 5</td><td align="center" valign="middle" >61 (42.4)</td><td align="center" valign="middle" >83 (57.6)</td></tr><tr><td align="center" valign="middle" >6 or more</td><td align="center" valign="middle" >10 (47.6)</td><td align="center" valign="middle" >11 (52.4)</td></tr><tr><td align="center" valign="middle" >Maternal Nutritional Status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Underweight</td><td align="center" valign="middle" >00 (0.0)</td><td align="center" valign="middle" >01 (100.0)</td></tr><tr><td align="center" valign="middle" >Normal weight</td><td align="center" valign="middle" >10 (32.3)</td><td align="center" valign="middle" >21 (67.7)</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >24 (44.4)</td><td align="center" valign="middle" >30 (55.6)</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >37 (46.8)</td><td align="center" valign="middle" >42 (53.2)</td></tr><tr><td align="center" valign="middle" >Maternal schooling</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤8 years of study</td><td align="center" valign="middle" >17 (37.0)</td><td align="center" valign="middle" >29 (63.0)</td></tr><tr><td align="center" valign="middle" >≥9 years of study</td><td align="center" valign="middle" >54 (45.4)</td><td align="center" valign="middle" >65 (54.6)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Percentage distribution of family history of overweight/obese children and adolescents followed at the IOC (n = 165), in relation to the presence, number and type of antecedent, Campina Grande, 2011-2012</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle" >Presence of antecedents</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >162 (98.2)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >03 (1.8)</td></tr><tr><td align="center" valign="middle" >Number of antecedents</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1 - 2</td><td align="center" valign="middle" >35 (821.2)</td></tr><tr><td align="center" valign="middle" >3 or more</td><td align="center" valign="middle" >130 (78.8)</td></tr><tr><td align="center" valign="middle" >Type of antecedent</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Systemic Hypertension</td><td align="center" valign="middle" >140 (84.8)</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >122 (73.9)</td></tr><tr><td align="center" valign="middle" >Type-2 Diabetes Mellitus</td><td align="center" valign="middle" >109 (66.1)</td></tr><tr><td align="center" valign="middle" >Hypercholesterolemia</td><td align="center" valign="middle" >86 (52.1)</td></tr><tr><td align="center" valign="middle" >Acute Myocardial Infarction</td><td align="center" valign="middle" >56 (33.9)</td></tr><tr><td align="center" valign="middle" >Hypertriglyceridemia</td><td align="center" valign="middle" >53 (32.1)</td></tr><tr><td align="center" valign="middle" >Stroke</td><td align="center" valign="middle" >45 (27.3)</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Frequency and odds ratios with respective confidence intervals (CI 95%) for cardiovascular risk factors according to the plasma Hy levels of overweight/obese children and adolescents followed at IOC (n = 165), Campina Grande, 2011- 2012</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Variables</th><th align="center" valign="middle"  rowspan="3"  >Total (n = 165)</th><th align="center" valign="middle"  colspan="2"  >Hy levels</th><th align="center" valign="middle"  rowspan="3"  >OR (CI 95%)</th><th align="center" valign="middle"  rowspan="3"  >p<sup>*</sup><sup> </sup></th></tr></thead><tr><td align="center" valign="middle" >High Hy (n = 40)</td><td align="center" valign="middle" >Normal Hy (n = 125)</td></tr><tr><td align="center" valign="middle" >n (%)</td><td align="center" valign="middle" >n (%)</td></tr><tr><td align="center" valign="middle" >Waist circumference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Increased (&gt;90<sup>th</sup> percentile)</td><td align="center" valign="middle" >121 (73.3)</td><td align="center" valign="middle" >28 (23.1)</td><td align="center" valign="middle" >93 (76.9)</td><td align="center" valign="middle"  rowspan="2"  >0.803 (0.366 - 1.763)</td><td align="center" valign="middle"  rowspan="2"  >0.584</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >44 (26.7)</td><td align="center" valign="middle" >12 (27.3)</td><td align="center" valign="middle" >32 (72.7)</td></tr><tr><td align="center" valign="middle" >Systolic Blood Pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥90<sup>th</sup> percentile)</td><td align="center" valign="middle" >24 (14.5)</td><td align="center" valign="middle" >05 (20.8)</td><td align="center" valign="middle" >19 (79.2)</td><td align="center" valign="middle"  rowspan="2"  >0.797 (0.277 - 2.293)</td><td align="center" valign="middle"  rowspan="2"  >0.448</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >141 (85.5)</td><td align="center" valign="middle" >35 (24.8)</td><td align="center" valign="middle" >106 (75.2)</td></tr><tr><td align="center" valign="middle" >Diastolic Blood Pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥90<sup>th</sup> percentile)</td><td align="center" valign="middle" >46 (27.9)</td><td align="center" valign="middle" >09 (19.6)</td><td align="center" valign="middle" >37 (80.4)</td><td align="center" valign="middle"  rowspan="2"  >0.690 (0.299 - 1.592)</td><td align="center" valign="middle"  rowspan="2"  >0.503</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >119 (72.1)</td><td align="center" valign="middle" >31 (26.1)</td><td align="center" valign="middle" >88 (73.9)</td></tr><tr><td align="center" valign="middle" >Total Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥150 mg/dL)</td><td align="center" valign="middle" >101 (61.2)</td><td align="center" valign="middle" >19 (18.8)</td><td align="center" valign="middle" >82 (81.2)</td><td align="center" valign="middle"  rowspan="2"  >0.474 (0.230 - 0.977)</td><td align="center" valign="middle"  rowspan="2"  >0.041</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >64 (38.8)</td><td align="center" valign="middle" >21 (32.8)</td><td align="center" valign="middle" >43 (67.2)</td></tr><tr><td align="center" valign="middle" >LDL Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥100 mg/dL)</td><td align="center" valign="middle" >83 (50.3)</td><td align="center" valign="middle" >18 (21.7)</td><td align="center" valign="middle" >65 (78.3)</td><td align="center" valign="middle"  rowspan="2"  >0.717 (0.350 - 1.470)</td><td align="center" valign="middle"  rowspan="2"  >0.363</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >79 (49.7)</td><td align="center" valign="middle" >22 (27.8)</td><td align="center" valign="middle" >57 (72.2)</td></tr><tr><td align="center" valign="middle" >HDL Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low (&lt;45 mg/dL)</td><td align="center" valign="middle" >146 (88.5)</td><td align="center" valign="middle" >38 (95.0)</td><td align="center" valign="middle" >108 (86.4)</td><td align="center" valign="middle"  rowspan="2"  >2.991 (0.660 - 13.553)</td><td align="center" valign="middle"  rowspan="2"  >0.111</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >19 (11.5)</td><td align="center" valign="middle" >02 (5.0)</td><td align="center" valign="middle" >17 (13.6)</td></tr><tr><td align="center" valign="middle" >Triglycerides</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥100 mg/dL)</td><td align="center" valign="middle" >104 (63.0)</td><td align="center" valign="middle" >22 (21.2)</td><td align="center" valign="middle" >82 (78.8)</td><td align="center" valign="middle"  rowspan="2"  >0.641 (0.311 - 1.322)</td><td align="center" valign="middle"  rowspan="2"  >0.227</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >61 (37.0)</td><td align="center" valign="middle" >18 (29.5)</td><td align="center" valign="middle" >43 (70.5)</td></tr><tr><td align="center" valign="middle" >Blood glucose</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥100 mg/dL)</td><td align="center" valign="middle" >03 (1.9)</td><td align="center" valign="middle" >01 (33.3)</td><td align="center" valign="middle" >02 (66.7)</td><td align="center" valign="middle"  rowspan="2"  >1.577 (0.139 - 17.864)</td><td align="center" valign="middle"  rowspan="2"  >0.568</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >162 (98.1)</td><td align="center" valign="middle" >39 (24.1)</td><td align="center" valign="middle" >123 (75.9)</td></tr><tr><td align="center" valign="middle" >Insulin levels</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High (≥15 &#181;UI/mL)</td><td align="center" valign="middle" >40 (25.0)</td><td align="center" valign="middle" >12 (30.0)</td><td align="center" valign="middle" >28 (70.0)</td><td align="center" valign="middle"  rowspan="2"  >1.485 (0.670 - 3.292)</td><td align="center" valign="middle"  rowspan="2"  >0.329</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >125 (75.0)</td><td align="center" valign="middle" >28 (22.4)</td><td align="center" valign="middle" >97 (77.6)</td></tr><tr><td align="center" valign="middle" >Insulin resistance</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Present (HOMA ≥ 2.5)</td><td align="center" valign="middle" >56 (33.9)</td><td align="center" valign="middle" >16 (28.6)</td><td align="center" valign="middle" >40 (71.4)</td><td align="center" valign="middle"  rowspan="2"  >1.417 (0.679 - 2.957)</td><td align="center" valign="middle"  rowspan="2"  >0.352</td></tr><tr><td align="center" valign="middle" >Absent</td><td align="center" valign="middle" >109 (66.1)</td><td align="center" valign="middle" >24 (22.0)</td><td align="center" valign="middle" >85 (78.0)</td></tr></tbody></table></table-wrap><p><sup>*</sup>Chi-square test.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Mean values, standard deviation and confidence interval of Hy levels according to the other cardiovascular risk factors of overweight/obese children and adolescents followed at the IOC (n = 165), Campina Grande, 2011-2012</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Homocyste&#237;ne (μmol/L)</th><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Homocyste&#237;ne (μmol/L)</th></tr></thead><tr><td align="center" valign="middle" >Mean &#177; SD (CI 95%)</td><td align="center" valign="middle" >p<sup>*</sup></td><td align="center" valign="middle" >Mean &#177; SD (CI 95%)</td><td align="center" valign="middle" >p<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >9.9 &#177; 3.4 (9.1 - 10.7)</td><td align="center" valign="middle"  rowspan="2"  >0.005</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >9.0 &#177; 2.7 (8.5 - 9.5)</td><td align="center" valign="middle"  rowspan="2"  >0.310</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >8.7 &#177; 2.3 (8.2 - 9.1)</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.5 &#177; 3.1 (8.7 - 10.2)</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >HDL Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Children</td><td align="center" valign="middle" >8.4 &#177; 1.9 (7.8 - 9.0)</td><td align="center" valign="middle"  rowspan="2"  >0.036</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >9.3 &#177; 3.0 (8.8 - 9.8)</td><td align="center" valign="middle"  rowspan="2"  >0.096</td></tr><tr><td align="center" valign="middle" >Adolescents</td><td align="center" valign="middle" >9.5 &#177; 3.1 (8.9 - 10.0)</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >8.1 &#177; 1.3 (7.5 - 8.8)</td></tr><tr><td align="center" valign="middle" >Nutritional status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >LDL Cholesterol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >9.0 &#177; 3.1 (7.8 - 10.3)</td><td align="center" valign="middle"  rowspan="2"  >0.757</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >9.1 &#177; 2.8 (8.5 - 9.8)</td><td align="center" valign="middle"  rowspan="2"  >0.649</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >9.2 &#177; 2.8 (8.7 - 9.7)</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.3 &#177; 2.9 (8.8 - 10.0)</td></tr><tr><td align="center" valign="middle" >Waist circumference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood glucose levels</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Increased</td><td align="center" valign="middle" >9.1 &#177; 2.7 (8.6 - 9.6)</td><td align="center" valign="middle"  rowspan="2"  >0.322</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >8.5 &#177; 1.4 (5.1 - 11.9)</td><td align="center" valign="middle"  rowspan="2"  >0.671</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.6 &#177; 3.2 (8.6 - 10.6)</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.2 &#177; 2.9 (8.8 - 9.7)</td></tr><tr><td align="center" valign="middle" >Systolic blood pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Insulin levels</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >8.5 &#177; 2.0 (7.6 - 9.3)</td><td align="center" valign="middle"  rowspan="2"  >0.182</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >10.0 &#177; 3.2 (8.8 - 10.9)</td><td align="center" valign="middle"  rowspan="2"  >0.081</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.3 &#177; 3.0 (8.8 - 9.8)</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.0 &#177; 2.7 (8.5 - 9.4)</td></tr><tr><td align="center" valign="middle" >Diastolic blood pressure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Insulin resistance</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >9.0 &#177; 2.8 (8.1 - 9.8)</td><td align="center" valign="middle"  rowspan="2"  >0.504</td><td align="center" valign="middle" >Present</td><td align="center" valign="middle" >10.0 &#177; 3.5 (9.1 - 10.9)</td><td align="center" valign="middle"  rowspan="2"  >0.011</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.3 &#177; 2.9 (8.8 - 9.8)</td><td align="center" valign="middle" >Absent</td><td align="center" valign="middle" >8.8 &#177; 2.4 (8.3 - 9.3)</td></tr><tr><td align="center" valign="middle" >Triglycerides</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >9.1 &#177; 3.1 (8.5 - 9.7)</td><td align="center" valign="middle"  rowspan="2"  >0.437</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >9.4 &#177; 2.5 (8.8 - 10.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p><sup>*</sup>Analysis of variance.</p><p>sample showed a common characteristic: excess weight. In Brazil, the process of nutritional transition observed in recent decades indicates increased overweight and obesity prevalence in the general population. Leal et al. [<xref ref-type="bibr" rid="scirp.54820-ref17">17</xref>] conducted a population-based study with children and adolescents from 5 to 19 years of age and found an overweight prevalence of 13.3% in the state of Pernambuco, 9.5% of overweight and 3.8% of obesity.</p><p>In relation to the maternal nutritional status, this study found that 24.1% of mothers were overweight, a fact that corroborates the results found by Silva, Baladan and Motta [<xref ref-type="bibr" rid="scirp.54820-ref18">18</xref>] , who studied obese children and adolescents aged 7 - 12 years and their parents and found that the nutritional status of their mothers was significantly changed (29.9% overweight).</p><p>In a study by Strufaldi, Silva and Puccini [<xref ref-type="bibr" rid="scirp.54820-ref19">19</xref>] , from the 929 schoolchildren assessed, 328 (35.3%) reported positive family history for CVD; of these, 20.0% had a history of early CVD, 17.3% of hypertension, 8.5% of obesity, 5.9% of dyslipidemia, and 3.7% of type-2 DM. In our study, however, there was a higher prevalence (97.7%) of children and adolescents with reported family history, highlighting the occurrence of hypertension (82.2%), and grandparents were the relatives most reported in these antecedents (93.6%). Regarding the family history, there was a prevalence of three or more antecedents (78.8%).</p><p>Studies indicate that systemic hypertension can start in childhood. In 2012, Rinaldi et al. [<xref ref-type="bibr" rid="scirp.54820-ref20">20</xref>] evaluated 903 children and adolescents from Botucatu (SP) with mean age of 9.3 (&#177;2.5) years and found hypertension prevalence of 2.9%. Freitas et al. [<xref ref-type="bibr" rid="scirp.54820-ref21">21</xref>] , in turn, assessed a sample of 184 adolescents, of which 9.8% showed high systolic blood pressure and 12.5% increased diastolic blood pressure. With similar frequencies and using the same cutoff points of these studies, 14.5% of the IOC sample showed high systolic blood pressure and 27.9% high diastolic blood pressure, showing a strong relationship between overweight and high blood pressure.</p><p>Obesity leads to changes in lipid metabolism. The WHO has reported that approximately 84.0% of adolescents live in developing countries such as Brazil, and that this percentage in relation to the other groups increased, but little importance has been given to the determination of the lipid profile in adolescence [<xref ref-type="bibr" rid="scirp.54820-ref22">22</xref>] . However, recent studies have claimed that hypertriglyceridemia associated with high LDL cholesterol levels increases by six times the risk of CVD, and that the development of atherosclerosis in obese adolescents is enhanced by increased plasma cholesterol levels. In addition, the oxidation of LDL cholesterol particles in the arterial walls is considered the main event for the development of atheromatous plaques [<xref ref-type="bibr" rid="scirp.54820-ref23">23</xref>] .</p><p>Regarding the lipid profile in 2010, Araki, Barros and Santos [<xref ref-type="bibr" rid="scirp.54820-ref24">24</xref>] evaluated 297 children and adolescents and showed disturbing results in relation to HDL cholesterol levels, since 41.7% of the sample had low levels. In this study, however, using the same cutoff points, there was a greater frequency (88.5%) of HDL cholesterol below the threshold used, which is a worrisome fact, since increased serum levels of this lipoprotein reduce cardiovascular risk due to reverse cholesterol transportation, removing it from the cells and transporting it to the liver for subsequent excretion [<xref ref-type="bibr" rid="scirp.54820-ref25">25</xref>] .</p><p>In addition to the cardiovascular risk factors discussed above, high plasma Hy levels are an emerging risk factor for CVD (3). The pathogenesis of vascular injury determined by Hhy includes endothelial cell injury, growth of the smooth vascular muscle, increased platelet aggregation, increased LDL cholesterol oxidation with deposition on the vascular wall and direct activation of the coagulation cascade [<xref ref-type="bibr" rid="scirp.54820-ref26">26</xref>] . Thus, the plasma Hy levels may be influenced by biological changes such as sex and age, and other clinical factors such as dyslipidemia [<xref ref-type="bibr" rid="scirp.54820-ref27">27</xref>] . In this sense, the literature shows the relationship between increased synthesis of cholesterol and elevated Hy levels through studies in cultured liver cells, also showing the increased expression of the Hydroxy-Methyl- Glutaryl-Coenzyme A reductase enzyme, responsible for the formation of cholesterol [<xref ref-type="bibr" rid="scirp.54820-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.54820-ref29">29</xref>] .</p><p>Regarding sex, Almeida et al. [<xref ref-type="bibr" rid="scirp.54820-ref30">30</xref>] showed that the Hy concentrations tended to be higher in men than in women, because women have the protective effect of estrogen. With advancing age, these levels also increase, remaining as a risk factor for coronary heart disease, aggravated by the deficiency of vitamins. The study by Kerr et al. [<xref ref-type="bibr" rid="scirp.54820-ref31">31</xref>] with children and adolescents between 4 and 18 years of age found that the Hy concentrations gradually increased with increasing age and were higher in boys (6.3 mmol/L) than in girls (6.2 mmol/L). Similarly, Akanji, Thalib and Al-Isa [<xref ref-type="bibr" rid="scirp.54820-ref32">32</xref>] studied adolescents from 10 to 19 years of age and concluded that there is a direct relationship between increasing age and plasma Hy levels and that boys showed total average Hy levels significantly higher (8.25 μmol/L).</p><p>The IOC sample studied has diagnosis of overweight or obesity, which is a characteristic that contributes to the development of atherosclerosis. It is believed that factors related to lifestyle may interfere with elevated plasma Hy levels. Accordingly, the prevalence of overweight can negatively influence the plasma Hy concentrations, considering that obesity is characterized by excessive consumption of high-calorie foods, poor of protein and vitamins [<xref ref-type="bibr" rid="scirp.54820-ref33">33</xref>] . Therefore, the average Hy value was higher in children or adolescents with diagnosis of obesity (9.3 μmol/L). In addition, the work by Brasileiro et al. [<xref ref-type="bibr" rid="scirp.54820-ref34">34</xref>] , whose sample consisted of adolescents with and without excess weight, showed higher Hy levels in overweight individuals.</p><p>Regarding the glucose profile, the mean Hy value was higher in patients with elevated fasting insulin and / or insulin resistance. Studies have shown that elevated plasma insulin levels can lead to Hhe, possibly due to changes in enzymes involved in the Hy metabolism, especially cystathionine-β-synthase, involved in the transsulfuration pathway [<xref ref-type="bibr" rid="scirp.54820-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.54820-ref36">36</xref>] .</p><p>Finally, is important to consider some limitations. The data presented are from a cross-sectional design, which does not require the composition of a control group for comparison, so it was not possible to assess the temporal sequence between exposure of interest on the biochemical factors studied. yet, because they are information provided from a convenience sample, the study did not allow the extrapolation of results and needed to conduct population surveys of this problem.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The mean plasma Hy concentrations are higher in males, adolescents and patients with insulin resistance, which is important when one considers that biological and clinical characteristics reduce the metabolism of this intermediate amino acid and that all these factors are associated with cardiovascular risk. Thus, these results can guide public health actions aimed to reduce, since childhood, the risk of developing CVD and expenses related to their treatment.</p></sec><sec id="s6"><title>Acknowledgements</title><p>To the UEPB Scientific Initiation students who carefully played their role as researchers: Gabriella Menezes Almeida de Castro, Mayara Larrys Gomes de Assis, Ma&#237;sa Soares de Oliveira, Jos&#233; de Alencar Fernandes Neto, D&#233;bora Larissa Rufino Alves and Nathaly de Medeiros N&#243;brega Ramos. To the National Council for Scientific and Technological Development―CNPq for granting Master’s scholarship to the first author and to the Incentive Program for Graduate Studies and Research―PROPESQ/UEPB for funding during implementation and data collection. To the members of the Center for Childhood Obesity for their multidisciplinary support.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.54820-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Lavrador, M.S.F., et al. (2011) Riscos Cardiovasculares em Adolescentes com Diferentes Graus de Obesidade. Arquivos Brasileiros de Cardiologia, 96, 205-211. http://dx.doi.org/10.1590/S0066-782X2010005000166</mixed-citation></ref><ref id="scirp.54820-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Girotto, E., Andrade, S.M., Cabrera, A.S. and Ridao, E.G. (2009) Prevalência de fatores de risco para doencas cardiovasculares em hipertensos cadastrados em unidade de saúde da família. Maringá, 31, 77-82.</mixed-citation></ref><ref id="scirp.54820-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Moura, M.S.B., Martins, M.C.C. and Souza Filho, M.D. (2011) Hiperhomocisteinemia como fator de risco cardiovascular. Com Scientiae Saúde, 10, 181-185.</mixed-citation></ref><ref id="scirp.54820-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Kutilek, S., Nemec, V. and Bockayova, E. (2012) Níveis séricos elevados de homocisteína em pacientes pediátricos com fenomeno de Raynaud primário. Revista Brasileira de Reumatologia, 52, 128-130. http://dx.doi.org/10.1590/S0482-50042012000100014</mixed-citation></ref><ref id="scirp.54820-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Amorim, K.S., Lopes, A.S. and Pereira, I.A. (2011) Impacto do exercício físico nos níveis de homocisteína, um fator de risco para aterosclerose: revisao sistemática. Revista Brasileira de Atividade Física &amp; Saúde, 16, 70-75.</mixed-citation></ref><ref id="scirp.54820-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Villarreal, E., Forero, Y., Poveda, E., Baracaldo, C. and López, E. (2008) Marcadores de riesgo cardiovascular em escolares de cinco departamentos de la región oriental em Colombia. Biomédica, 28, 38-49. http://dx.doi.org/10.7705/biomedica.v28i1.107</mixed-citation></ref><ref id="scirp.54820-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Centers of Disease Control and Prevention (CDC) (2000) Table for Calculated Body Mass Index Values for Selected Highs and Weights for Ages 2 to 20 Years. Developed by the National Center for Health Statistc in Collaboration with the National Center for Chronic Disease Prevention and Health Promotion. http://www.cdc.gov/growthcharts</mixed-citation></ref><ref id="scirp.54820-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (1995) Physical Status: The Use and Interpretation of Anthropometry. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.54820-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">International Diabetes Federation (IDF) (2007) The IDF Consensus Definition of Metabolic Syndrome in Children and Adolescents. http://www.idf.org/home/index.cfm?node=1429</mixed-citation></ref><ref id="scirp.54820-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Sociedade Brasileira de Cardiologia (SBC) (2010) VI Diretrizes Brasileiras de Hipertensao. Arquivos Brasileiros de Cardiologia, 95, 1-51.</mixed-citation></ref><ref id="scirp.54820-ref11"><label>11</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Sociedade Brasileira de Cardiologia</surname><given-names> SBC </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>I Diretriz de Prevencao da Aterosclerose na Infancia e na Adolescência</article-title><source> Arquivos Brasileiros de Cardiologia</source><volume> 85</volume>,<fpage> 1</fpage>-<lpage>36</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.54820-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">American Diabetes Association (2009) Standards of Medical Care in Diabetes. Diabetes Care, 32, S13-S61.</mixed-citation></ref><ref id="scirp.54820-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Madeira, I.R., Miranda Carvalho, C.N., Gazolla, F.M., de Matos, H.J., Borges, M.A. and Bordallo, M.A.N. (2008) Ponto de corte do índice Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) avaliado pela curva Receiver Operating Characteristic (ROC) na deteccao de síndrome metabólica em criancas pré-púberes com excesso de peso. Arquivos Brasileiros de Endocrinologia &amp; Metabologia, 52, 1466-1473.http://dx.doi.org/10.1590/S0004-27302008000900010</mixed-citation></ref><ref id="scirp.54820-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Refsum, H., Smith, A.D., Ueland, P.M., Nexo, E., Clarke, R., Mc Partlin, J., et al. (2004) Facts and Recommendations about Total Homocysteine Determinations: An Expert Opinion. Clinical Chemistry, 50, 3-32.http://dx.doi.org/10.1373/clinchem.2003.021634</mixed-citation></ref><ref id="scirp.54820-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Santos, M.G., Pegoraro, M., Sandrini, F. and César, E. (2008) Fatores de risco no desenvolvimento da aterosclerose na infancia e adolescência. Arquivos Brasileiros de Cardiologia, 90, 276-283.http://dx.doi.org/10.1590/S0066-782X2008000400012</mixed-citation></ref><ref id="scirp.54820-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bereson, G.S., Srinivasan, S.R., Bao, W., Newman, W.P., Tracy, R.E. and Wattigney, W.A. (1998) Association between Multiple Cardiovascular Risk Factor and Atherosclerosis in Children and Young Adults. The New England Journal of Medicine, 338, 1650-1656. http://dx.doi.org/10.1056/NEJM199806043382302</mixed-citation></ref><ref id="scirp.54820-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Leal, V.S., de Lira, P.I.C., Oliveira, J.S., de Menezes, R.C.E., de Souza Sequeira, L.A., de Arruda Neto, M.A., et al. (2012) Excesso de peso em criancas e adolescentes no Estado de Pernambuco, Brasil: Prevalência e determinantes. Cadernos de Saúde Pública, 28, 1175-1182. http://dx.doi.org/10.1590/S0102-311X2012000600016</mixed-citation></ref><ref id="scirp.54820-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Silva, A.P.S., Baladan, G. and Motta, M.E.F. (2005) Prevalência de sobrepeso e obesidade em criancas e adolescentes de diferentes condicoes socioeconomicas. Revista Brasileira de Saúde Materno Infantil, 5, 53-59.http://dx.doi.org/10.1590/S1519-38292005000100007</mixed-citation></ref><ref id="scirp.54820-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Louzada, S.M.W., Silva, E.M.K. and Puccini, R.F. (2011) Sobrepeso e obesidade em escolares pré-púberes: Associacao com baixo peso ao nascer e antecedentes familiares para doenca cardiovascular. Embu regiao metropolitana de Sao Paulo, 2006. Ciência Saúde Coletiva, 16, 4465-4472.</mixed-citation></ref><ref id="scirp.54820-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Rinaldi, A.E.M., Nogueira, P.C.K., Riyuzo, M.C., Olbrich-Neto, J., Gabriel, G.F.C.P., Macedo, C.S. and Burini, R.C. (2012) Prevalência de pressao arterial elevada em criancas e adolescentes do ensino fundamental. The Revista Paulista de Pediatria, 30, 79-86. 
http://dx.doi.org/10.1590/S0103-05822012000100012</mixed-citation></ref><ref id="scirp.54820-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Freitas, D., Rodrigues, C.S., Yagui, C.M., Carvalho, R.S.T. and Marchi-Alves, L.M. (2012) Fatores de risco para hipertensao arterial entre estudantes do ensino médio. Acta Paulista de Enfermagem, 25, 430-434.http://dx.doi.org/10.1590/S0103-21002012000300017</mixed-citation></ref><ref id="scirp.54820-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Mendes, M.J.F.L., Alves, J.G.B., Alves, A.V., Siqueira, P.P. and Freire, E.F.C. (2006) Associacao dos fatores de risco para doencas cardiovasculares em adolescentes e seus pais. Revista Brasileira de Saúde Materno Infantil, 6, 549-554.</mixed-citation></ref><ref id="scirp.54820-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Franca, E. and Alves, J.G.B. (2006) Dislipidemia entre criancas e adolescentes de Pernambuco. Arquivos Brasileiros de Cardiologia, 87, 722-727. http://dx.doi.org/10.1590/S0066-782X2006001900007</mixed-citation></ref><ref id="scirp.54820-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Araki, M.V.R., Barros, C. and Santos, E.G. (2010) Análise do perfil lipídico de criancas e adolescentes ndo estado de Sergipe. Scientia Plena, 6, 1-6.</mixed-citation></ref><ref id="scirp.54820-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Gothelf, S.J. and Jubany, L.L. (2007) Antropometría y lípidos séricos en ninos y adolescentes obesos de la ciudad de Salta, 2006. Archivos Argentinos de Pediatría, 105, 411-417.</mixed-citation></ref><ref id="scirp.54820-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Vannucchi, H. and Melo, S.S. (2009) Hiper-homocisteinemia e risco cardiometabólico. Arquivos Brasileiros de Endocrinologia &amp; Metabologia, 53, 540-549. http://dx.doi.org/10.1590/S0004-27302009000500007</mixed-citation></ref><ref id="scirp.54820-ref27"><label>27</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Cardoso</surname><given-names> I.L. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>Homocisteína e a Doenca Cardiovascular</article-title><source> Revista da Faculdade de Ciências da Saúde</source><volume> 6</volume>,<fpage> 198</fpage>-<lpage> 206</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.54820-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Amorim, F.G., de Rezende, L.C.D., Coitinho, L.B., de Freitas, J.V., Scherr, J.A. and Dettogni, R.S. (2011) Bioquímica clínica da aterosclerose provocada por hiper-homocisteinemia. Revista Eletronica de Farmácia, 8, 36-59.http://dx.doi.org/10.5216/ref.v8i1.13812</mixed-citation></ref><ref id="scirp.54820-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Guerra, M. and Hernández-Rodríguez, P. (2011) Homocisteína, implicaciones en riesgo cardiovascular. Revista Cienciactual, 1, 41-57.</mixed-citation></ref><ref id="scirp.54820-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Almeida, L.C., Tomita, L.Y., D’Almeida, V. and Cardoso, M.A. (2008) Preditores sócio-demográficos, de estilo de vida e gineco-obstétricos das concentracoes séricas ou plasmáticas de homocisteína, ácido fólico e vitaminas B12 e B6 em mulheres de baixa renda de Sao Paulo, Brasil. Cadernos de Saúde Pública, 24, 587-596.http://dx.doi.org/10.1590/S0102-311X2008000300012</mixed-citation></ref><ref id="scirp.54820-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Kerr, M.A., Livingstone, B., Bates, C.J., Bradbury, I., Scott, J.M., Ward, M., et al. (2009) Folate, Related B Vitamins, and Homocysteine in Childhood and Adolescence: Potential Implications for Disease Risk in Later Life. Pediatrics, 123, 627-635. http://dx.doi.org/10.1542/peds.2008-1049</mixed-citation></ref><ref id="scirp.54820-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Akanji, A.O., Thalib, L. and Al-Isa, A.N. (2010) Folate, Vitamin B12 and Total Homocysteine Levels in Arab Adolescent Subjects: Reference Ranges and Potential Determinants. Nutrition, Metabolism &amp; Cardiovascular Diseases, 20, 1-7.</mixed-citation></ref><ref id="scirp.54820-ref33"><label>33</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Pinto</surname><given-names> W.J. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>Homocisteína e risco cardiovascular</article-title><source> Revista de Ciências Médicas</source><volume> 18</volume>,<fpage> 259</fpage>-<lpage>268</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.54820-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Brasileiro, R.S., Escrivao, M.A.M.S., Taddei, J.A.A.C., Almeida, V.D. and Ancona-Lopez, F. (2005) Plasma Total Homocysteine Overweight and Non-Overweight Adolescents: A Case-Control Study. Nutricion Hospitalaria, 20, 313-319.</mixed-citation></ref><ref id="scirp.54820-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Paixao, J.M. (2011) Importancia dos polimorfismos do metabolismo da Hemocisteína na susceptibilidade para a Diabetes Mellitus do tipo II (Dissertacao). Tese de mestrado, Universidade de Lisboa, Faculdade de Ciências, Biologia (Biologia Humana e Ambiente).</mixed-citation></ref><ref id="scirp.54820-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Cerquera, J.M.C., Costa, L.O.B.F., Nogueira, A.A.V., Silva, D.C.C., Torres, D.O.C. and Santos, A.C.O. (2010) Homocisteinemia em mulheres com síndrome dos ovários policísticos. Revista Brasileira de Ginecologia e Obstetrícia, 32, 126-132. http://dx.doi.org/10.1590/S0100-72032010000300005</mixed-citation></ref></ref-list></back></article>