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

<bold>Objective: </bold>To study determinants and predictors of body fat in Indian children and adolescents.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>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. [ABSTRACT FROM AUTHOR]