[ANTHROPOMETRIC INDICATORS AND CARDIOMETABOLIC EVENTS AMONG SCHOOLAGED XXXX FROM SONORA, MEXICO].

@entity1 @entity101 @entity28 @entity1674 @entity13519 @entity1144 @entity13520 @entity413 @entity165
INTRODUCTION: @entity28 in childhood is predictive of @entity28 in adulthood and it is associated with adverse health effect apparent since childhood; however, the joint assessment of @entity28 and adverse events among @entity1 in clinical settings is unusual. OBJECTIVES: to assess the association of overweight and @entity28 , @entity1144 , and excess body fat with systolic [ @entity13519 ] and diastolic [ @entity13520 ] blood pressure, lipid profile and @entity413 levels; and to identify the best anthropometric indicator of such events. MATERIAL AND METHODS: we conducted a cross-sectional study in a sample of 412 schoolchildren. The presence of overweight and @entity28 , @entity1144 and excess body fat was determined among all @entity1 ; levels of total @entity165 , @entity1674 , high and low density lipoproteins, and @entity413 were measured in a subsample (n = 133). The associations of interest were assessed using adjusted linear and logistic regression models. RESULTS: 33% of the @entity1 were overweight or @entity28 . Overall, overweight, @entity28 , @entity1144 , and excess body fat were associated with elevated @entity13519 and @entity13520 and with a lipid profile and @entity413 levels that could indicate health risks among these @entity1 . Overweight and @entity28 were the best predictors of such events. CONCLUSIONS: among these school-aged @entity1 , we observed that @entity28 was associated with high odds of having adverse health outcomes such as @entity101 , lipids and @entity413 . Such adverse events can be predicted by the presence of @entity28 measured by BMI, which is a noninvasive, inexpensive and easy to implement measure.
