Determinants of childhood and adolescent obesity and it's effect on metabolism in South Indian population.

Abstract

Objectives: The primary objective is to determine the risk factors underlying the development of childhood and adolescent obesity. The secondary objective is to determine the predictors of metabolic syndrome (MetS) in childhood and adolescent obesity and its metabolic alterations in the South Indian population.

Methods: This is a cross-sectional study conducted over two years. We have screened 3,195 school children and adolescents from lower and lower-middle socioeconomic groups. From this pool, by random cluster sampling technique, we have included 166 overweight and obese individuals and 38 control subjects. We have analyzed their sociodemographic, dietary, lifestyle, anthropometric, clinical, and metabolic parameters.

Results: The prevalence of overweight and obesity in rural areas was 14.2 and 7.6 %, respectively, and in urban areas, it was 16.1 and 8.8 %, respectively. The age distribution of the control and study group is 12.3 ± 1.5 and 13.0 ± 1.9 years with a male-to-female ratio of 1.4:1 and 1.6:1, respectively. Our study found a higher average consumption of energy-dense food and screen time in the obese group compared to the control group. The average outdoor play time was 1.5 h per day in the control group and less than 0.5 h per day in the obese group. In our study, the waist-to-height ratio (WHtR) optimum cutoff value of 0.56, has 95 % sensitivity and 84 % specificity, effectively identifying MetS cases. HOMA-IR optimum cutoff value of 2.25, has 96 % sensitivity and 72 % specificity. The triglyceride-glucose index (TGI) optimum cutoff value of 4.51, has 92 % sensitivity and 88 % specificity indicating a strong balance between correctly identifying positive and negative MetS cases.

Conclusions: Our study found that even in lower socioeconomic status, there is a higher prevalence of childhood and adolescent obesity due to an urbanized lifestyle in rural areas, a sedentary lifestyle, higher consumption of low-cost energy-dense foods, and higher screening time in this electronic era. We also conclude that WHtR is a simple anthropometric marker that predicts MetS more effectively than BMI and WHR among children and adolescents. HOMA-IR and TGI are effective biochemical markers to identify metabolically unhealthy obesity early.