ArticleJAACAP open2026
Recreational Activities and Youth Outcomes: An Explainable Machine Learning Study.
Yihong Zhao, Xuewei Han, Sarah W Feldstein Ewing, Susan F Tapert, Martin P Paulus
Abstract read
In one paragraphArticle in JAACAP open, 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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What it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
5 authors.
Yihong ZhaoColumbia University, New York, New York.
Xuewei HanColumbia University, New York, New York.
Sarah W Feldstein EwingUniversity of Connecticut, School of Medicine, Farmington, Connecticut.
Susan F TapertUniversity of California San Diego, San Diego, California.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma.
Funding
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MAdolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MProspective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2MABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7MABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9MThe Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI MARTIN P. PAULUS · 2017 to 2026
$23.7MFIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8MABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7MAdolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5MNIAAA NIH HHS R01 AA029611NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIGMS NIH HHS P20 GM121312NIMH NIH HHS RF1 MH128614
6 · The paper itselfAbstract
Objective: Recreational activities are considered vital for emotional and cognitive health of youth, yet empirical research examining the specific associations between recreational activities and youth behavioral and cognitive outcomes is limited. Method: In this cohort study, interpretable machine learning methods, specifically random forest paired with SHapley Additive exPlanations (SHAP) analysis, were applied to quantify the contribution of each activity to behavioral and cognitive outcomes in the Adolescent Brain Cognitive Development℠ (ABCD) Study baseline data (ages 9-10). Data-driven activity groups were defined by SHAP contribution patterns for behavioral and cognitive outcomes. Engagement in these groups was then tested for association with the corresponding outcomes using linear mixed-effects models in the hold-out sample, both cross-sectionally and longitudinally. Results: Of activities, 14 were identified with more favorable and 8 with less favorable behavioral patterns, and 13 were identified with more favorable and 2 with less favorable cognitive patterns. Activities with more favorable behavioral patterns (eg, skiing/snowboarding) were linked to fewer problems (β = -1.12, Conclusion: Recreational activities exhibit distinct patterns of association with cognitive and mental health outcomes. These data-driven findings highlight the importance of considering individual differences and contextual factors when investigating youth engagement in recreational activities.
Indexed as
cognitive functionextracurricular activitieslifestylemental healthphysical activity
Identifiers
PMID42534631
PMCPMC13420579
What OpenQuestion holds
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LicenceCC BY-NC-ND
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