Recreational Screen Time, Sedentary Behavior Displacement, and Depressive Symptoms in U.S. Adolescents: A Cross-Lagged Panel Analysis of 3 Annual Waves in the ABCD Study

This study investigates bidirectional temporal relationships between recreational screen time, sedentary behavior displacement, and depressive symptoms across 3 annual waves in U.S. adolescents from the ABCD Study within the context of adolescent psychiatry and digital epidemiology, an area of growing scientific importance given its implications for adolescent screen time guidelines refinement (social media-specific), depression prevention digital intervention design, and school-based social media literacy programs. Using random-intercept cross-lagged panel model (RI-CLPM) controlling for stable between-person differences, with screen type (social media, video games, streaming) tested separately and moderation by sex and SES, we examine social media use in particular increasing social comparison, cyberbullying exposure, and sleep displacement that prospectively increases depressive symptoms; reversed path (depression increasing screen time) also plausible as avoidance coping, motivating RI-CLPM to separate within-person temporal effects in 8,420 adolescents with complete 3-wave data from ABCD Study (48% female, 52% male, 28% non-Hispanic white, 18% Black, 22% Hispanic, 32% other; mean age 10.0 at baseline) drawn from ABCD Study 22-site cohort across U.S. with annual assessment, CBCL parent-reported depression subscale, actigraphy (GENEActiv) sedentary minutes, and Youth Media Use Questionnaire screen time. Results indicate that social media use (not video games or streaming) predicts within-person increases in depressive symptoms 1 year later (beta=0.08, p=0.002) after RI-CLPM; depression also predicts social media increase (beta=0.06, p=0.012); effect is 2.4x larger in girls than boys (p-interaction=0.018) (p = 0.002), with social media beta=0.08 on depression; 2.4x larger in girls; bidirectional within-person effects as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to adolescent psychiatry and digital epidemiology and carry actionable implications for the design of programs and policies targeting adolescent screen time guidelines refinement (social media-specific), depression prevention digital intervention design, and school-based social media literacy programs.