Screening Accuracy of BMI for Adiposity Among 8- to 19-Year-Olds.

CROSS-sectional method; PHOTON absorptiometry; BODY mass index; ADIPOSE tissues; RESEARCH funding; DESCRIPTIVE statistics; SURVEYS; MEDICAL screening; REGRESSION analysis

BACKGROUND AND OBJECTIVES: Although the limitations of BMI have long been recognized, there are recent concerns that it is not a good screening tool for adiposity. We therefore examined the cross-sectional relation of BMI to adiposity among 6923 8- to 19-year-olds in the National Health and Nutrition Survey from 2011 through 2018. METHODS: Participants were scanned with dual-energy x-ray absorptiometry. Adiposity was expressed as fat mass index (FMI, fat mass kg ÷ m²) and percentage of body fat (%fat). Lean mass was expressed as lean mass index (LMI, lean mass ÷ m²). Regression models and 2 x2 tables were used to assess the relation of BMI to FMI,%fat, and LMI. RESULTS: Age and BMI accounted (R²) for 90% to 94% of the variability of FMI and LMI in each sex. Associations with %fat were weaker (R²s ~0.70). We also examined the screening abilities of a BMI ≥ Centers for Disease Control and Prevention 95th percentile for high levels of adiposity and LMI. Cut points were chosen so that prevalences of high values of these variables would be similar to that for high BMI. Of participants with a high BMI, 88% had a high FMI, and 76% had a high %fat. Participants with a high BMI were 29 times more likely to have a high FMI than those with lower BMIs; comparable relative risks were 12 for high %fat and 14 for high LMI. CONCLUSIONS: Despite its limitations, a high BMI is a very good screening tool for identifying children and adolescents with elevated adiposity. [ABSTRACT FROM AUTHOR]

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