Chetankumar Dave1,2, Neha Agarwal1,2, Riddhi Patel2, Rishi Shukla1, Anurag Bajpai3,4. 1. Department of Pediatric Endocrinology, Regency Center for Diabetes Endocrinology & Research, Regency City Clinic, The Mall, Kanpur, Uttar Pradesh, 208001, India. 2. GROW Society, Growth & Obesity Workforce, Kanpur, Uttar Pradesh, India. 3. Department of Pediatric Endocrinology, Regency Center for Diabetes Endocrinology & Research, Regency City Clinic, The Mall, Kanpur, Uttar Pradesh, 208001, India. dr_anuragbajpai@yahoo.com. 4. GROW Society, Growth & Obesity Workforce, Kanpur, Uttar Pradesh, India. dr_anuragbajpai@yahoo.com.
Abstract
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.
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.