RESUMEN
OBJECTIVE: to investigate what is the best anthropometric predictor of arterial hypertension among private school students. METHOD: this was a cross-sectional study with 286 students between the ages of 10 and 14 from two private schools in the city of Paranavaí, Paraná, Brazil. The following variables were analyzed: body mass index, waist circumference and blood pressure. Statistical analysis was conducted with Pearson's partial correlation test and multivariate logistic regression, with p<0.05. RESULTS: both anthropometric indicators displayed weak correlation with systolic and diastolic levels, with coefficients (r) ranging from 0.27 to 0.36 (p < 0.001). Multivariate analysis showed that the only anthropometric indicator associated with arterial hypertension was waist circumference (OR= 2.3; 95% CI: 1.1-4.5), regardless of age or gender. CONCLUSION: this age group, waist circumference appeared to be a better predictor for arterial hypertension than body mass index.
Asunto(s)
Índice de Masa Corporal , Hipertensión/epidemiología , Circunferencia de la Cintura , Adolescente , Salud del Adolescente , Arterias , Brasil , Niño , Estudios Transversales , Femenino , Humanos , Masculino , Medición de Riesgo , EstudiantesRESUMEN
OBJECTIVE: To investigate the association between physical inactivity and anthropometric measurements in school children from Paranavaí-Paraná, Brazil. METHODS: Cross-sectional survey, conducted in July and August 2013. Sample of 566 students (287 boys and 278 girls) from 6th to 9th grade aged 10 to 14 years of public and private schools from Paranavaí-PR, Southern Brazil. The variables analyzed were: time of weekly physical activity by a questionnaire (physical inactivity <300 minutes/week), body mass index (BMI) and waist circumference (WC). In the statistical analysis the U Mann-Whitney and Student t test were used for comparison between genders. To identify factors associated with insufficient levels of physical activity, univariate and multivariate logistic regression analysis was applied and expressed in Odds ratio (OR) and 95% confidence interval (CI). RESULTS: There was an association between physical inactivity and anthropometric measurements for BMI (p<0.001) and WC (p<0.001), with a prevalence rate of 56.1% and 52.7% of inactive adolescents, respectively. In the multivariate analysis, there was significant association of physical inactivity and overweight (OR 1.8, 95%CI: 1.1-3.0) and with increased waist circumference (OR 2.8, 95%CI: 1.4-3.8). CONCLUSIONS: Inadequate levels of physical activity is a determining factor for overweight and abdominal adiposity. Accordingly, preventive measures should be taken, especially in schools, emphasizing the importance of exercise in the control of body composition and reduction of weight.