Determinants and Predictors of Body Fat in Indian Children and Adolescents.

OBJECTIVE To study determinants and predictors of body fat in Indian children and adolescents. METHODS In this cross-sectional study, 5175 children and adolescents [3014 boys, age 12.8 (3) y, 5-18 y] participated. Determinants and predictors of body fat were assessed using partial correlation (corrected for age, and gender) and linear regression. RESULTS Fat percentage correlated negatively with the duration of physical activity (r = -0.091, p < 0.01) and sleep (r = -0.044, p = 0.01) and positively with parental body mass index (BMI) (r = 0.202, p < 0.01 for father and r = 0.235, p < 0.01 for mother), and birth weight (r = 0.050, p < 0.01). On linear regression, fat percentage was positively associated with parental BMI and birth weight, and negatively with physical activity and sleep duration. All adiposity markers [BMI standard deviation score (SDS) (r = 0.863, p < 0.01), weight SDS (r = 0.827, p < 0.01) waist to height ratio (r = 0.819, p < 0.01), waist circumference SDS (r = 0.765, p < 0.01) wrist circumference (r = 0.21, p < 0.01), and neck circumference (r = 0.19, p < 0.01)] correlated significantly with fat percentage, showing highest correlation with BMI SDS. CONCLUSION Reduced sleep and physical activity are the key modifiable risk factors for adiposity. BMI SDS is the best clinical surrogate of body fat in Indian children and adolescents. There is a need to explore the impact of lifestyle interventions targeting sleep and physical activity on adiposity.