Screen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology: Insights from the ABCD study.

Autor: Zhao Y; 1Columbia University School of Nursing, New York, NY, USA., Paulus MP; 2Laureate Institute for Brain Research, Tulsa, OK, USA.; 3Department of Psychiatry, University of California, San Diego, CA, USA., Tapert SF; 3Department of Psychiatry, University of California, San Diego, CA, USA., Bagot KS; 4Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA., Constable RT; 5Biomedical Engineering, Radiology and Biomedical Imaging, Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA., Yaggi HK; 6Department of Medicine, Yale School of Medicine, New Haven, CT, USA.; 7VA Clinical Epidemiology Research Center, VA Connecticut HCS, West Haven, CT, USA., Redeker NS; 8University of Connecticut School of Nursing, Storrs, CT, USA., Potenza MN; 9Department of Psychiatry, Child Study Center, Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA.; 10Connecticut Mental Health Center, New Haven, CT, USA.; 11Connecticut Council on Problem Gambling, Wethersfield, CT, USA.; 12Wu Tsai Institute, Yale University, New Haven, CT, USA.
Jazyk: angličtina
Zdroj: Journal of behavioral addictions [J Behav Addict] 2024 Apr 24; Vol. 13 (2), pp. 542-553. Date of Electronic Publication: 2024 Apr 24 (Print Publication: 2024).
DOI: 10.1556/2006.2024.00016
Abstrakt: Background and Aims: The precise roles of screen media activity (SMA) and sleep problems in relation to child/adolescent psychopathology remain ambiguous. We investigated temporal relationships among sleep problems, SMA, and psychopathology and potential involvement of thalamus-prefrontal-cortex (PFC)-brainstem structural covariation.
Methods: This study utilized data from the Adolescent Brain Cognitive Development study (n = 4,641 ages 9-12) at baseline, Year1, and Year2 follow-up. Cross-Lagged Panel Models (CLPMs) investigated reciprocal predictive relationships between sleep duration/problems, SMA, and psychopathology symptoms. A potential mediating role of baseline Thalamus-PFC-brainstem covariation on SMA-externalizing relationships was examined.
Results: Participants were divided into discovery (n = 2,359, 1,054 girls) and replication (n = 2,282, 997 girls) sets. CLPMs showed 1) bidirectional associations between sleep duration and SMA in late childhood, with higher frequency SMA predicting shorter sleep duration (β = -0.10 [95%CI: -0.16, -0.03], p = 0.004) and vice versa (β = -0.11 [95%CI: -0.18, -0.05], p < 0.001); 2) externalizing symptoms at age 10-11 predicting sleep problems (β = 0.11 [95%CI: 0.04, 0.19], p = 0.002), SMA (β = 0.07 [95%CI: 0.01, 0.13], p = 0.014), and internalizing symptoms (β = 0.09 [95%CI: 0.05, 0.13], p < 0.001) at age 11-12; and 3) externalizing behavior at age 10-11 partially mediating the relationship between baseline thalamus-PFC-brainstem covariation and SMA at age 11-12 (indirect effect = 0.032 [95%CI: 0.003, 0.067], p-value = 0.030). Findings were replicable.
Conclusion: We found bi-directional SMA-sleep-duration associations in late childhood. Externalizing symptoms preceded future SMA and sleep disturbances and partially mediated relationships between structural brain covariation and SMA. The findings emphasize the need for understanding individual differences and developing and implementing integrated strategies addressing both sleep concerns and screen time to mitigate potential impacts on psychopathology.
Databáze: MEDLINE