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Record W4413336174 · doi:10.1111/aphw.70071

Longitudinal associations between physical activity intensity and mental health problems in overweight/obese youth

2025· article· en· W4413336174 on OpenAlexaff
Jinming Li, Fabian Herold, Yanxia Chen, Zhihao Zhang, André O. Werneck, Tai Ji, Cassandra J. Lowe, Benjamin Tari, Mats Hallgren, Brendon Stubbs, Myrto F. Mavilidi, Matthew Heath, Fred Paas, Liye Zou

Bibliographic record

VenueApplied Psychology Health and Well-Being · 2025
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsWestern University
Fundersnot available
KeywordsOverweightStrengths and Difficulties QuestionnaireMental healthPsychologyLongitudinal studyPopulationAffect (linguistics)GerontologyCohortCausality (physics)MedicineObesityCohort studyClinical psychologyDemographyPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Mental health challenges in overweight/obese youth represent a growing public health concern. Physical activity (PA) may protect against adverse mental health outcomes in this population. However, research has yet to fully examine how specific PA dosage characteristics, such as PA intensity, affect mental health trajectories among overweight/obese youth. This study used longitudinal data from the Millennium Cohort Study (N = 858) to examine how PA intensity at age 7 predicts mental health outcomes at ages 11 and 14. Accelerometer-measured PA was categorized into moderate-to-vigorous-intensity (MVPA) and light-intensity (LPA) activity. Higher MVPA at age 7 predicted fewer internalizing problems at ages 11 (β = -0.014, p = 0.018) and 14 (β = -0.023, p = 0.001), with stronger effects over time being observed for the peer problem-related component of the Strengths and Difficulties Questionnaire (SDQ). In contrast, LPA was associated with increased externalizing problems at age 11 (β = 0.007, p = 0.008), particularly the hyperactivity component of the SDQ, and this effect was no longer reliable at 14. These findings suggest that promoting MVPA is important to support mental health outcomes in overweight/obese youth, although intervention studies are needed to test causality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.374
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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