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Record W2991031109

Longitudinal association between the social context of physical activity and moderate-to-vigorous physical activity

2019· article· en· W2991031109 on OpenAlexaff
Jodie A. Stearns, Mathieu Bélanger, Jennifer O’Loughlin, Jenson Price, Jennifer Brunet

Bibliographic record

VenueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository) · 2019
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversité de MonctonUniversité de MontréalUniversity of AlbertaUniversity of Ottawa
Fundersnot available
KeywordsGrandparentPhysical activityDemographyContext (archaeology)PsychologyAssociation (psychology)Multivariate analysisGerontologyMultivariate statisticsDevelopmental psychologyMedicinePhysical therapyGeographyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Background: Co-participating in physical activity (PA) with others is associated with higher levels of PA in youth. However, PA can occur in several social contexts and few researchers have longitudinally compared associations of different social contexts with moderate-to-vigorous physical activity (MVPA) or whether having many people available to participate in PA with is associated with greater MVPA. We examined whether changes in different social contexts of PA and variety of PA companions are associated with changes in MVPA across elementary/middle school (Grades 5-8) and secondary school (Grades 8-11). Methods: Youth (N=938) completed questionnaires tri-annually from Grades 5-11 on weekly frequency of PA participation in five social contexts (i.e., with teammates, siblings, friends, parents/grandparents, or alone) and number of days/week meeting recommended levels of MVPA (i.e., ?60 minutes/day). Unstandardized path coefficients (B) within piecewise latent growth models are interpreted as change in MVPA for every one unit change in the social context of PA (multivariate model) or variety of PA companions (univariate model). Results: Declines in variety of PA companions was associated with decreases in days/week meeting MVPA recommendations in elementary/middle (B=1.53, SE=0.60, p

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)0.000
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 score0.276
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.276
Teacher spread0.258 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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