Correlates of metabolic syndrome among young Brazilian adolescents population.

BACKGROUND: Findings available in literature indicate that metabolic syndrome (MetS) diagnosed in young ages tends to remain in adulthood. The aim of the study was to identify demographic, nutritional, anthropometric and behavioral correlates of MetS in a sample of adolescents from Dourados, Mato Grosso do Sul, Brazil. METHODOLOGY: This is a cross-sectional school-based study involving 274 participants aged 12-18 years (186 girls and 88 boys). Anthropometric measurements were performed and a questionnaire with structured questions was applied for data collection. MetS was identified according to criteria proposed by the International Diabetes Federation. Data were statistically treated using bivariate analysis and hierarchical multiple regression. RESULTS: The proportion of adolescents identified with MetS was equivalent to 4.7% [95% CI (3.6-6.0)]. Multivariate analysis showed that older age (OR = 1.22 [1.04-1.73]) and higher economic class (OR = 1.25 [1.07-1.96]) were significantly associated with MetS. Among behavioral factors, longer recreational screen time (OR = 1.26 [1.05-1.94]) and low fruits/vegetables intake (OR = 1.49 [1.23-2.41]) were independently associated with MetS. Likewise, excess body weight (OR = 1.52 [1.24-2.41]) was significantly associated with the outcome. CONCLUSION: The high proportion of adolescents with MetS and the identification of their correlates reinforce the need for early life style intervention and awareness programs in this population group.

Clustering of Excess Body Weight-Related Behaviors in a Sample of Brazilian Adolescents.

The aim of the study was to identify the existence of clusters in multiple lifestyle behaviors, including consumption of fruits/vegetables, sugary products/soft drinks, physical activity and sedentary behavior. The association between identified clusters and excess body weight in a sample of adolescents from Dourados, Brazil, was examined. This is a cross-sectional school-based study involving 578 participants aged 12⁻18 of both sexes. Anthropometric measurements were performed and a questionnaire was applied with structured questions to collect data. Excess body weight was identified through body mass index. Cluster analysis was performed to identify sex-specific clusters of multiple lifestyle behaviors. Analysis of covariance and logistic regression were used to analyze associations between clusters and excess body weight. Six clusters were identified in both sexes. Girls and boys in the cluster characterized by greater time spent in sedentary behavior were 53% (OR = 1.53 [1.06⁻2.26]) and 63% (OR = 1.63 [1.12⁻2.35]) more likely to present excess body weight compared to their peers in the reference cluster. In the case of adolescents in the cluster characterized by high consumption of sugary products/soft drinks, girls were 47% more likely to be overweight (OR = 1.47 [1.05⁻2.13]) and boys were 51% more likely (OR = 1.51 [1.05⁻2.16]). High consumption of fruits/vegetables, low consumption of sugary products/soft drinks and less sedentary behavior was considered the most effective combination for the maintenance of a healthy weight.