Shared Genetic Risk in the Association of Screen Time With Psychiatric Problems in Children.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Nov 2023
Historique:
medline: 7 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: epublish

Résumé

Children's exposure to screen time has been associated with poor mental health outcomes, yet the role of genetic factors remains largely unknown. To assess the extent of genetic confounding in the associations between screen time and attention problems or internalizing problems in preadolescent children. This cohort study analyzed data obtained between 2016 and 2019 from the Adolescent Brain Cognitive Development Study at 21 sites in the US. The sample included children aged 9 to 11 years of genetically assigned European ancestry with self-reported screen time. Data were analyzed between November 2021 and September 2023. Child-reported daily screen time (in hours) was ascertained from questionnaires completed by the children at baseline. Child psychiatric problems, specifically attention and internalizing problems, were measured with the parent-completed Achenbach Child Behavior Checklist at the 1-year follow-up. Genetic sensitivity analyses model (Gsens) was used, which incorporated polygenic risk scores (PRSs) of both exposure and outcomes as well as either single-nucleotide variant (SNV; formerly single-nucleotide polymorphism)-based heritability or twin-based heritability to estimate genetic confounding. The 4262 children in the sample included 2269 males (53.2%) with a mean (SD) age of 9.9 (0.6) years. Child screen time was associated with attention problems (β = 0.10 SD; 95% CI, 0.07-0.13 SD) and internalizing problems (β = 0.03 SD; 95% CI, 0.003-0.06 SD). The television time PRS was associated with child screen time (β = 0.18 SD; 95% CI, 0.14-0.23 SD), the attention-deficit/hyperactivity disorder PRS was associated with attention problems (β = 0.13 SD; 95% CI, 0.10-0.16 SD), and the depression PRS was associated with internalizing problems (β = 0.10 SD; 95% CI, 0.07-0.13 SD). These PRSs were associated with cross-traits, suggesting genetic confounding. Estimates using PRSs and SNV-based heritability showed that genetic confounding accounted for most of the association between child screen time and attention problems and for 42.7% of the association between child screen time and internalizing problems. When PRSs and twin-based heritability estimates were used, genetic confounding fully explained both associations. Results of this study suggest that genetic confounding may explain a substantial part of the associations between child screen time and psychiatric problems. Genetic confounding should be considered in sociobehavioral studies of modifiable factors for youth mental health.

Identifiants

pubmed: 37930702
pii: 2811397
doi: 10.1001/jamanetworkopen.2023.41502
pmc: PMC10628728
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2341502

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Auteurs

Yingzhe Zhang (Y)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Karmel W Choi (KW)

Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston.
Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston.

Scott W Delaney (SW)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Tian Ge (T)

Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston.
Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston.

Jean-Baptiste Pingault (JB)

Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom.
Social, Genetic, and Developmental Psychiatry Centre, King's College London, London, United Kingdom.

Henning Tiemeier (H)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

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