HYPERTRIGLICERIDEMIC WAIST, PHYSICAL ACTIVITY AND CARDIOVASCULAR RISK FACTORS IN SCHOOLCHILDREN

The present study aimed to analyze the prevalence of the Hypertriglyceridemic Waist (HTW) and its rates with levels of physical activity, nutritional status and lipid profile of students from public schools. A sample consisted of 448 schoolchildren between 10 and 18 years old, who are assessed by body mass, height, BMI (waist circumference), triglycerides, total cholesterol, HDL-C, LDL-C, non-HDL cholesterol, fasting blood glucose and weekly physical activity time. The survey results showed a high prevalence of the HTW phenotype in schoolchildren (n = 125; 27.9%). The group diagnosed with phenotype has higher body mass, BMI, total cholesterol, LDL-C and non-HDL cholesterol and a lower level of HDL-C about the group without a diagnosis of the phenotype. However, for fasting blood glucose measurements and time of physical activity, the groups are no different. An association analysis using logistic regression showed the HTW phenotype associated with sex, nutritional status, and total cholesterol, where boys presented 2.0 (95% CI 1.3 - 3.2); obese 6.2 (95% CI 2.7 - 17.2) and cholesterol levels above 150 mg / dL 3.5 (95% CI 2.1 - 5.7) times more likely to have the phenotype. In this way, the present research showed a high prevalence of HTW in schoolchildren from public schools, with boys, obese and schoolchildren with total cholesterol levels, the individuals most likely to have the phenotype. However, it is worth emphasizing the importance of monitoring these variables throughout the year in all courses, given the period of strong, biological, behavioral and psychological changes, as they can quickly change the values of the analyzed variables.


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The term hypertriglyceridemic waist (HTW) started to be used around the

Methods
Research with a cross-sectional design, sample composed of students of 86 both sexes aged 10 to 18 years, from the public network of the morning period of 87 the city of Paranavaí, Paraná State, Brazil. According to data from the city's 88 Regional Education Center, 3,483 students were enrolled in the city's eight 89 schools. The classes were selected by intentional sampling, structured in two 90 stages: 1) Invitation to students from all classes and explanation of study; 2) 91 delivery of the Consent Term for signature by parents or legal guardians.

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The sample calculation resulted from the total number of the population 93 (n=3.483); a prevalence of 20.7% of HTW in schoolchildren in the same city in 94 2014 6 confidence level equal to 95%; and sampling error of 4%. Based on these 95 parameters, data from 354 students were required. 10% of this value was added 96 to the sample, predicting eventual losses and refusals (354 + 70 = 389), resulting 97 in the collection of data from 389 adolescents for selection of the final sample.

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Assessments were made only for those students who delivered the informed 99 consent form signed by parents and / or guardians, totaling 448 students.  Central obesity was assessed using waist circumference, obtained using 108 a flexible and inextensible measuring tape (Gulick, Brazil), with a resolution of 0.1 cm applied above the iliac crests. For classification, the cut-off point ≥ P75 was 110 used for all ethnicities 8 .

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Biochemical tests were requested only for adolescents who had central 112 obesity and accepted to perform the collection (n = 448). For this purpose, a 10 113 ml sample of venous blood was collected in the anterior cubital vein after a fasting 114 period of at least 10 hours, between 8 am and 9:30 am in the schools themselves.

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The level of physical activity was assessed using the questionnaire for 128 adolescents 11 ,adapted from the Self-Administered Physical Activity 129 Checklist 12. The questionnaire contains a list of 24 activities of moderate/vigorous 130 intensity, with the option for the subject to add two more in the case of activities 131 they performed, but are not on the list. For each activity listed, the student can 132 enter the frequency (days/week) and duration (hours/min/day) of physical 133 activities practiced in the last seven days, which resulted in weekly physical activity time. The cut-off point for inadequate physical activity level was <300 135 minutes/week 13 .

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In the statistical analysis, the Kolmogorov Smirnov test was used to identify 137 the normality of the data. Descriptive analysis was performed by means and 138 standard deviation. Mann Whitney U test was used to compare the groups, due 139 to the absence of parametric data distribution. The Chi-Square test was used to    total cholesterol were 250% more likely to have the HTW phenotype (Table 3). The present study aimed to analyze the prevalence of the HTW phenotype