Evidence map›Paper›PMID 34610930›Full record

ArticleBMJ open2021

Adolescent time use and mental health: a cross-sectional, compositional analysis in the Millennium Cohort Study.

Andrew J Atkin, Jack R Dainty, Dorothea Dumuid, Elli Kontostoli, Lee Shepstone, Richard Tyler, Robert Noonan, Cassandra Richardson, Stuart J Fairclough

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Andrew J AtkinSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK A.Atkin@uea.ac.uk.ORCID 0000-0002-3819-3448
Jack R DaintyNorwich Medical School, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.ORCID 0000-0002-0056-1233
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0003-3057-0963
Elli KontostoliSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.ORCID 0000-0003-4285-4808
Lee ShepstoneNorwich Medical School, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.
Richard TylerHealth Research Institute and Department of Sport and Physical Activity, Edge Hill University, Ormskirk, UK.ORCID 0000-0001-9756-5582
Robert NoonanDepartment of Psychology, University of Liverpool, Liverpool, UK.ORCID 0000-0001-9575-5729
Cassandra RichardsonDepartment of Psychology, University of Winchester, Winchester, UK.ORCID 0000-0003-1208-6588
Stuart J FaircloughHealth Research Institute and Department of Sport and Physical Activity, Edge Hill University, Ormskirk, UK.ORCID 0000-0001-8358-1979

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo examine the association of 24-hour time-use compositions with mental health in a large, geographically diverse sample of UK adolescents.

designCross-sectional, secondary data analysis.

settingMillennium Cohort Study (sixth survey), a UK-based prospective birth cohort.

participantsData were available from 4642 adolescents aged 14 years. Analytical samples for weekday and weekend analyses were n=3485 and n=3468, respectively (45% boys, 85% white ethnicity). PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome measures were the Strengths and Difficulties Questionnaire (SDQ, socioemotional behaviour), Mood and Feelings Questionnaire (MFQ, depressive symptoms) and Rosenberg Self-Esteem Scale (RSE, self-esteem). Behavioural exposure data were derived from 24-hour time-use diaries.

resultsOn weekdays, participants spent approximately 54% of their time in sleep, 3% in physical activity, 9% in school-related activities, 6% in hobbies, 11% using electronic media and 16% in domestic activities. Predicted differences in SDQ, MFQ and RSE were statistically significant for all models (weekday and weekend) that simulated the addition or removal of 15 min physical activity, with an increase in activity being associated with improved mental health and vice versa. Predicted differences in RSE were also significant for simulated changes in electronic media use; an increase in electronic media use was associated with reduced self-esteem.

conclusionSmall but consistent associations were observed between physical activity, electronic media use and selected markers of mental health. Findings support the delivery of physical activity interventions to promote mental health during adolescence, without the need to specifically target or protect time spent in other activities.

Indexed as

ExerciseMental HealthAdolescentCohort StudiesCross-Sectional StudiesFemaleHumansMaleProspective StudiesSurveys and Questionnairesdepression & mood disordersepidemiologymental healthpublic health

Identifiers

PMID34610930
PMCPMC8493927

What OpenQuestion holds

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LicenceCC BY-NC
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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.