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Record W66358055

Male adolescents' reasons for participating in physical activity, barriers to participation, and suggestions for increasing participation.

2005· article· en· W66358055 on OpenAlexaff
Kenneth R. Allison, John J. M. Dwyer, Ellie Goldenberg, Allan Fein, Karen Yoshida, Marie Boutilier

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhysical activityPsychologyFocus groupQualitative researchDevelopmental psychologyVariety (cybernetics)Physical activity levelClinical psychologyGerontologyMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

This study explored male adolescents' reasons for participating in moderate and vigorous physical activity, perceived barriers to moderate and vigorous physical activity, and suggestions as to what can be done to increase participation in physical activity. A total of 26 male 15- and 16-year-old adolescents participated in focus group sessions, which were audiotaped and transcribed verbatim; qualitative software facilitated data analysis. A constant comparison approach was used to inductively develop themes. It was found that participants engaged in physical activity for both intrinsic and extrinsic reasons. Their perceived barriers to physical activity included both internal factors (individual characteristics, lower priority for physical activity, and involvement in technology-related activities) and external factors (the influence of peers and family, lack of time, and inaccessibility and cost of facilities). Participants suggested that physical activity be promoted more in the community and that an environment more supportive of physical activity be developed. Results suggest that a variety of strategies should be used to help male adolescents maintain or increase participation in moderate and vigorous physical activity.

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)0.003
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 score0.452
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.068
GPT teacher head0.363
Teacher spread0.295 · 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

Citations147
Published2005
Admission routes1
Has abstractyes

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