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Record W2151170109 · doi:10.1123/jpah.4.2.138

Relationship Between Regular Walking, Physical Activity, and Health-Related Quality of Life

2007· article· en· W2151170109 on OpenAlexaff
Rachel E. Blacklock, Ryan E. Rhodes, Shane G. Brown

Bibliographic record

VenueJournal of Physical Activity and Health · 2007
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVitalityQuality of life (healthcare)ModerationPsychological interventionHappinessDemographicsPopulationPhysical activityGerontologyPsychologyExploratory researchTest (biology)Life satisfactionDemographyMedicinePhysical therapyEnvironmental healthSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The current physical activity (PA) and health-related quality of life (HRQoL) literature warrants further investigation with general population samples. The exploratory-focused purpose of this study was to compare total PA-HRQoL and walking-HRQoL relations, include a measure of general happiness, and to evaluate potential activity-HRQoL demographic moderators. METHODS: A random sample of 351 adults completed an adapted Godin Leisure Time Questionnaire, the SF-36, and the Satisfaction with Life Scale. RESULTS: Partial correlations revealed small-to-moderate associations between walking/total PA and general health, vitality, and social functioning after controlling for key demographics (P < 0.05). A dependent t-test determined walking and PA as equally related to vitality and social functioning. Multiple regression revealed annual income as a moderator of the total PA/walking-social functioning relationship [F(3,315) = 9.71 and F(3,316) = 12.03, P < 0.01, respectively]. CONCLUSIONS: HRQoL may be considered with walking interventions and annual income. The contribution of PA to overall happiness appears to be minor.

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)0.004
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 score0.471
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.199
GPT teacher head0.447
Teacher spread0.248 · 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

Citations85
Published2007
Admission routes1
Has abstractyes

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