Screen time and sleep problems in South Indian preschoolers: a community-based cross-sectional study

Objectives To estimate the prevalence of sleep problems among children aged 2–5 years residing in South India, assess its association with screen time and identify a predictive screen time threshold. Design Population-based cross-sectional study. Setting Field practice areas in rural and urban centres of a medical college in South India. Participants In total, 523 children aged 2–5 years were selected by simple random sampling. Primary outcome measures Sleep problems were assessed using the validated bedtime problems, excessive daytime sleepiness, awakenings during the night, regularity of sleep and snoring sleep screening tool. Sociodemographic and behavioural factors, including screen time, were also examined. The optimal predictive screen time cut-off was identified using receiver operating characteristic (ROC) analysis. Results Sleep disturbances were reported in 39.6% of children (95% CI 35.5% to 43.8%). The most common sleep problems were irregular sleep (22.2%), bedtime resistance (20.8%) and night awakening (19.9%). Multivariate logistic regression showed strong associations between sleep problems and screen use in bed (adjusted OR (AOR) = 3.8; 95% CI 2.4 to 6.1), excess screen time (AOR=3.3; 95% CI 1.8 to 6), smaller family size (AOR=3.1; 95% CI 1.5 to 6.1), reduced physical activity (AOR=2.6; 95% CI 1.6 to 4.2), shorter birth spacing (AOR=1.8; 95% CI 1.1 to 2.8), lower socioeconomic status (AOR=1.8; 95% CI 1.2 to 2.8) and maternal screen time>2 hours/day (AOR=1.6; 95% CI 1.04 to 2.6). ROC analysis identified ≥2.4 hours per day of screen time as the optimal threshold for predicting sleep problems (area under the curve=0.800; sensitivity, 73.9% and specificity, 77.2%). Conclusion In this large population-based study, two of the five preschool children experienced sleep problems, with excess screen time, particularly screen use in bed, being the key contributing factor. This is one of the few Indian studies to establish an ROC-derived screen time threshold for identifying sleep problems. These findings can guide targeted parental advice and early preventive strategies to promote healthy sleep in preschool children.