These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Prevalence of cardiometabolic risk factor clustering and body mass index in adolescents.
    Author: Camhi SM, Katzmarzyk PT.
    Journal: J Pediatr; 2011 Aug; 159(2):303-7. PubMed ID: 21429506.
    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.
    [Abstract] [Full Text] [Related] [New Search]