Sarah M Camhi1, Peter T Katzmarzyk. 1. Population Science, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
Abstract
OBJECTIVE: To establish prevalence of cardiometabolic risk factor clustering within US adolescent body mass index (BMI) groups. STUDY DESIGN: Data were obtained from National Health and Nutrition Examination Survey participants (12-18 years, n = 2457) recruited from 2001-2002, 2003-2004, 2005-2006, and 2007-2008 surveys. Prevalence of risk factor clustering (≥2 risk factors: triglycerides; high-density lipoprotein cholesterol; systolic/diastolic blood pressure; fasting glucose) was determined within Centers for Disease Control-defined BMI groups (normal weight, <85(th) percentile; overweight, 85th to 94th percentile; obese, ≥95th percentile). Logistic regression examined associations of risk factor clustering within BMI groups for sex, race/ethnicity, income, household size, smoking, age, and BMI z-score. RESULTS: Approximately 9%, 21%, and 35% of normal weight, overweight, and obese adolescents had risk factor clustering. Adolescents with risk factor clustering were less likely to be female (OR 95% CI: overweight, 0.33, 0.16-0.68; obese, 0.38, 0.18-0.78) and non-Hispanic black (normal weight, 0.31, 0.17-0.55; overweight, 0.22, 0.07-0.69; obese, 0.24, 0.12-0.50), but more likely to be a smoker (overweight: 4.32, 1.44-12.96), and have a higher BMI z-score (obese, 3.15, 1.29-7.68). Lower income was associated with risk factor clustering in overweight adolescents (0.28, 0.12-0.63), but a higher income was related to risk factor clustering in obese adolescents (1.90, 1.04-3.48). CONCLUSIONS: The prevalence of risk factor clustering increases across adolescent BMI categories; however, associations with sex, race/ethnicity, income, smoking, and BMI vary across groups.
OBJECTIVE: To establish prevalence of cardiometabolic risk factor clustering within US adolescent body mass index (BMI) groups. STUDY DESIGN: Data were obtained from National Health and Nutrition Examination Survey participants (12-18 years, n = 2457) recruited from 2001-2002, 2003-2004, 2005-2006, and 2007-2008 surveys. Prevalence of risk factor clustering (≥2 risk factors: triglycerides; high-density lipoprotein cholesterol; systolic/diastolic blood pressure; fasting glucose) was determined within Centers for Disease Control-defined BMI groups (normal weight, <85(th) percentile; overweight, 85th to 94th percentile; obese, ≥95th percentile). Logistic regression examined associations of risk factor clustering within BMI groups for sex, race/ethnicity, income, household size, smoking, age, and BMI z-score. RESULTS: Approximately 9%, 21%, and 35% of normal weight, overweight, and obese adolescents had risk factor clustering. Adolescents with risk factor clustering were less likely to be female (OR 95% CI: overweight, 0.33, 0.16-0.68; obese, 0.38, 0.18-0.78) and non-Hispanic black (normal weight, 0.31, 0.17-0.55; overweight, 0.22, 0.07-0.69; obese, 0.24, 0.12-0.50), but more likely to be a smoker (overweight: 4.32, 1.44-12.96), and have a higher BMI z-score (obese, 3.15, 1.29-7.68). Lower income was associated with risk factor clustering in overweight adolescents (0.28, 0.12-0.63), but a higher income was related to risk factor clustering in obese adolescents (1.90, 1.04-3.48). CONCLUSIONS: The prevalence of risk factor clustering increases across adolescent BMI categories; however, associations with sex, race/ethnicity, income, smoking, and BMI vary across groups.
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