Why the study?
Obesity tracks from childhood to adulthood and its relationship with BMI and waist circumference to cardiometabolic risk in adolescents across demographic subgroups was not fully characterized.
Cohort (n=1,301)
Yes
Answers are grounded in this paper and cite their sources.
Should not yet change practice; leaves open causal cardiometabolic effects of mercury exposure in children.
Obesity tracks from childhood to adulthood most strongly of all cardiometabolic risk factors. To determine relationship of body mass index (BMI) and waist circumference (WC) with cardiometabolic risk (dyslipidemia, hyperglycemia and elevated blood pressure) in a large U.S. population ages 12-19 and demographic subgroups. Pooled 1999-2014 National Health and Nutrition Examination Survey data were analyzed (N = 23 438). In addition to standard cutoffs of BMI and WC, risk levels were identified for each laboratory variable: HDL-cholesterol, LDL-cholesterol, triglycerides, total cholesterol (category = lipids); fasting glucose, glycated haemoglobin (category = glucose); systolic/diastolic pressures (category =blood pressure). Within each category, being high-risk on any of the variables was high-risk; being borderline-risk on any, without being high-risk on any, was borderline-risk. Obesity severity was strongly associated with increased cardiometabolic risk, with prevalence of borderline-risk greater than high-risk. Anthropometric indicators in males and Hispanics, versus females and Whites/Blacks, respectively, had stronger associations with cardiometabolic risks. BMI and WC performed well for identifying adolescents with at least one borderline-risk or high-risk level measure for lipids, glucose and blood pressure; relationship strength varying by gender and race/ethnicity. Thus, to prevent or better manage clinical diseases of adolescents with elevated BMI and/or WC, all recommended laboratory tests are warranted.
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Lohrmann et al. (2016) conducted a cohort in Cardiometabolic risk (n=1,301). Prenatal and postnatal total blood mercury (THg) exposure vs. Lower mercury exposure was evaluated on Childhood insulin levels (z-score) (β 0.285, 95% CI 0.003-0.567, p=0.048).
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