Evidence map›Paper›PMID 42252867›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2026

Early outdoor play predicts trajectories of child mental health in a population-based cohort.

Helen F Dodd, Kirsty Cordwell, Kathryn Hesketh, Avril Johnstone, Alejandro de la Torre-Luque, Paul McCrorie

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Article in Journal of child psychology and psychiatry, and allied disciplines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Helen F DoddExeter Medical School, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0003-1446-5338
Kirsty CordwellExeter Medical School, University of Exeter, Exeter, UK.
Kathryn HeskethBehavioural Science and Health Department, University College, London, UK.
Avril JohnstoneMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Alejandro de la Torre-LuqueDepartment of Legal Medicine, Psychiatry and Pathology, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain.
Paul McCrorieExeter Medical School, University of Exeter, Exeter, UK.

Funding

Chief Scientist Office SPHSU19Medical Research Council MC_UU_00022/4National Institute for Health and Care Research NIHR208343UK Research and Innovation MR/X015033/1
6 · The paper itself

Abstract

backgroundOutdoor play may offer developmental opportunities that support good mental health. Cross-sectional data indicate that more outdoor play is associated with better mental health, particularly internalising problems (e.g. anxiety and depression), but longitudinal research is lacking. We used a longitudinal cohort dataset to evaluate whether outdoor play at 2-4 years predicted children's mental health trajectories into middle childhood.

methodsData were from the Growing up in Scotland dataset. Parents/caregivers were asked how many days their child had played outside over the previous week when children were aged ~2, 3 and 4 years. When the children were aged ~4, 5, 6 and 8 years, parents/caregivers completed the Strengths and Difficulties Questionnaire measure of child mental health. We used growth mixture modelling (GMM) to identify trajectories over time for internalising and externalising symptoms separately. Next, we used multilevel multinomial regression to evaluate whether early outdoor play predicted trajectory classification.

resultsThe analysis sample included 4,151 children. A three-class solution was optimal for internalising and externalising symptoms. The three trajectory groups differed on both symptom level at age 4 and slope as follows: normative (low with stable trajectory); increasing (moderate with increasing trajectory); decreasing (high with decreasing trajectory). After controlling for covariates, outdoor play significantly predicted trajectory class; children who played outdoors more often as preschoolers had significantly decreased odds (p < .001) of belonging to the increasing or decreasing trajectory groups, relative to the normative group, for internalising (increasing: OR = 0.92, decreasing: OR = 0.88) and externalising (increasing: OR = 0.94, decreasing: OR = 0.94) symptoms.

conclusionsThis study uses nationally representative longitudinal data and provides the first evidence that early outdoor play predicts mental health trajectories across childhood. A key limitation is reliance on parent-report measures. The findings indicate that increasing outdoor play may be a useful public health approach to reduce child mental health problems.

Indexed as

Child DevelopmentPlay and PlaythingsChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleScotlandchild mental healthexternalising problemsinternalising problemsOutdoor playpreventiontrajectory

Identifiers

PMID42252867
PMCPMC13647091

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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.