Evidence map›Paper›PMID 38684513›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Childhood internalizing, externalizing and attention symptoms predict changes in social and nonsocial screen time.

Katherine Keyes, Ava Hamilton, Megan Finsaas, Noah Kreski

Erratum issuedAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Katherine KeyesMailman School of Public Health, Department of Epidemiology, Columbia University, 722 West 168th St., Room 724, New York, NY, 10032, USA. kmk2104@columbia.edu.
Ava HamiltonMailman School of Public Health, Department of Epidemiology, Columbia University, 722 West 168th St., Room 724, New York, NY, 10032, USA.
Megan FinsaasMailman School of Public Health, Department of Epidemiology, Columbia University, 722 West 168th St., Room 724, New York, NY, 10032, USA.
Noah KreskiMailman School of Public Health, Department of Epidemiology, Columbia University, 722 West 168th St., Room 724, New York, NY, 10032, USA.

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
As adolescent substance use declines, internalizing symptoms increase: identifying high-risk substance using groups and the role of social media, parental supervision, and unsupervised timeR01DA048853 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2019 to 2023
$2.0M
NIDA NIH HHS R01 DA048853NIDA NIH HHS R01-DA048853NIMH NIH HHS T32 MH013043NIMH NIH HHS T32-MH013043
6 · The paper itself

Abstract

backgroundWhile accumulating research has tested the hypothesis that screen time causes psychiatric symptoms in children, less attention has been paid to the hypothesis that children with psychiatric symptoms change their patterns of screen time and digital media use. We aimed to test whether children with psychiatric symptoms subsequently change their patterns of screen time and digital media use.

methodsN = 9,066 children primarily aged 9-10 in the Adolescent Brain Cognitive Development Study at baseline and 1-year later. Psychiatric symptoms included internalizing, attention, and externalizing symptoms. Screen time was measured as ordinally defined weekday and weekend time on social and nonsocial [e.g., YouTube] digital media). Models assessed psychiatric symptoms as predictors of screen time, and screen time as predictors of psychiatric symptoms, controlled for baseline measures of each, sex, age, race/ethnicity, and income.

resultsChildren with psychiatric symptoms spent more time on non-social media one year later compared with peers. Considering total psychiatric problems, clinical levels of problems predicted higher levels of weekday (OR = 1.22, 95% CI 1.22-1.23) and weekend (OR = 1.10, 95% CI 1.09-1.11) nonsocial screen time. For nearly all analyses of psychiatric symptoms predicting screen time, associations were highest for a non-social screen time outcome rather than a social screen time outcome (Highest OR = 1.65, 95% CI 1.63-1.67, clinical rule breaking predicting weekday nonsocial screen time). Comparable magnitude associations were observed for social and nonsocial media use predicting future psychiatric symptoms, suggesting bidirectionality.

conclusionChildren with psychiatric symptoms have different subsequent media use patterns, including higher rates of subsequent nonsocial engagement. Ensuring that ongoing data collection and analysis efforts attend to temporality and transitions in the relation between media use and psychiatric symptoms will accelerate progress in the field.

Indexed as

AttentionScreen TimeAdolescentChildChild BehaviorFemaleHumansMaleMental DisordersSocial BehaviorSocial MediaAttentioExternalizingInternalizingScreen TimeSocial Media

Identifiers

PMID38684513
PMCPMC12051214

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.