Independent and combined influences of physical activity, screen time, and sleep quality on adiposity indicators in Indian adolescents

Abstract

Abstract Background Inadequate physical activity (PA), excess screen time (ST), and sub-optimal sleep quality tend to co-occur during adolescence. Yet, little is known about the associations of these behaviors as a cluster with adiposity indicators in Indian adolescents. This study aimed to evaluate the independent and combined influences of PA, ST, and sleep quality on body mass index (BMI) and waist to height ratio (WHtR) in 10–15 years old adolescents in Mumbai, India. A secondary aim was to explore if these influences vary between sexes. Methods Cross-sectional study. Adolescents (n = 772, mean age 13.2 (1.4) years) reported frequency and duration of moderate to vigorous PA (MVPA) and time spent using screens on a previously validated instrument. Sleep quality was estimated using the Pittsburg Sleep Quality Index (PSQI). Weight, height, and waist circumference were measured. Mixed effect logistic regression analyses were performed to explore associations between adiposity indicators (BMI z scores > +1SD and WHtR > 0.5) and unhealthy behaviors (PA 120 min/d and PSQI scores > 5), stratified by sex. Results The combined prevalence of overweight and obesity was 38.3%. Overall, 62.0 and 85.0% reported MVPA 120 min/d respectively. Girls reported higher ST (218.21 (69.01) min/d) as compared to boys (165.3 (101.22) min/d, p 5 (OR = 2.01, 95% CI 1.78–2.25, p 120 min/d. Clustering of all three unhealthy behaviors increased prevalence of obesity in both sexes. Conclusions The results indicated a co-existence of multiple unhealthy lifestyle factors of obesity and that clustering of these behaviors can further aggravate obesity risk as compared to their independent effects. Integrated interventions that leverage the cumulative benefits of being active, less sedentary and sufficient sleep are warranted to facilitate greater improvements in obesity risk behaviors.

Keywords

• Adolescent obesity
• Clustering of unhealthy behaviors
• Physical activity levels
• Screen time
• Sedentary behaviors
• Sleep quality in adolescents