Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: a Network Analysis
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Abstract
Mounting evidence highlights the link between screen time and adolescent mood problems. However, there are several shortcomings to the extant literature: (1) this link is underexplored in preadolescents, (2) most existing studies look at mood problems using categorical diagnoses rather than from a symptom-level perspective, despite the heterogeneity within mood disorders, (3) few studies have simultaneously examined the links of mood symptoms with different types of screen time, and (4) family/child-level factors that have shown links to youth psychopathology are not typically considered. This study, for the first time, examined the relationships of mood symptoms with different types of screen time, while accounting for theoretically important factors-parental monitoring and the behavioral inhibition/activation systems (BIS/BAS)-in preadolescents aged 9 to 10 from 9986 families participating in the Adolescent Brain and Cognitive Development Study. Using mixed graphical models, we found that screen time involving age-inappropriate content was stably and significantly associated with various elevated mood symptoms, independent from other types of screen time, BIS/BAS, and parental monitoring. Additionally, age-inappropriate screen time was associated with increased overall symptom connectivity. Further, preadolescents engaged in high levels of age-inappropriate screen time reported different symptom profiles (i.e., differences in symptom centralities) from common pediatric mood problems. Our findings underline the multifaceted role (i.e., direct associations with symptoms, a moderator for symptom relationships, associations with distinct symptom profiles) of age-inappropriate screen time in preadolescent mood problems. These findings serve as foundations for future research that may facilitate early detection of preadolescents at risk of mood problems.
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In a recent systematic review and meta-analysis, only three North American studies included a national cohort with a sample size of 10,000 or more.
“In a recent systematic review and meta-analysis on screen time and internalizing and externalizing behaviors among children and adolescents aged 12 years or younger [84], only three North American studies included a national cohort with a sample size of 10,000 or more [62, 85, 86].”
From Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study (2024) · cites this paper as [85]
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- Authors
- Lin, S.-Y., Eaton, N. R., & Schleider, J. L.
- Affiliations
- Stony Brook University (US)
- Corresponding author
- Lin, Sin-Ying
- Venue
- Journal of Abnormal Child Psychology
- Published
- 2020-09-14
- Volume
- 48
- Issue
- 12
- Pages
- 1635-1647
- ISSN
- 0091-0627 (ISSN-L)
- 1573-2835
- OpenAlex
- W3086418326
- Semantic Scholar
- 85c8aedfd14a63a3071932d13f229c83c3c9ba95
- Cited by
- 19
- References
- 91
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Research on Child and Adolescent Psychopathology (publishedVersion)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- Topics
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- screen time, mood symptoms, preadolescents, parental supervision, symptom profiles, Adolescent Brain Cognitive Development Study
- MeSH terms
- Screen Time, Affect, Child, Depression, Family, Female, Humans, Inhibition, Psychological, Male, Psychiatric Status Rating Scales, Mood Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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