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Coping With Barriers to Vigorous Physical Activity During Transition to University

2004· article· en· W2328348143 on OpenAlexaff
Nancy C. Gyurcsik, Steven R. Bray, Danielle R. Brittain

Bibliographic record

VenueFamily & Community Health · 2004
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsIntrapersonal communicationCoping (psychology)Interpersonal communicationPsychological interventionSelf-efficacyPsychologyClinical psychologyPhysical activityPopulationHealth careMedicineGerontologyEnvironmental healthPsychiatrySocial psychologyPhysical therapy

Abstract

fetched live from OpenAlex

This study examined barriers to vigorous physical activity (VPA) among 132 students transitioning from high school to the first year of a university. An ecological framework was used to classify barriers, and coping self-efficacy (CSE) and task self-efficacy (TSE) were investigated as predictors of VPA. Consistent with population data, 47% of the sample failed to meet national recommendations for VPA. Participants most often cited institutional, intrapersonal, and interpersonal barriers. CSE predicted TSE, which predicted VPA. A greater understanding of ecologically categorized barriers and the relationship of self-efficacy to VPA may aid health care practitioners in the design of targeted interventions to facilitate VPA and health among freshmen students.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.315
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), 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

Citations121
Published2004
Admission routes1
Has abstractyes

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