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Record W1563251141 · doi:10.1080/03630242.2015.1061093

Social Provisions and Young Women’s Health-Related Physical Activity

2015· article· en· W1563251141 on OpenAlexafffundabout
Jocelyn D Ulvick, Kevin S. Spink

Bibliographic record

VenueWomen & Health · 2015
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsKinesiologyPhysical activityHealth benefitsPsychologyGerontologyLogistic regressionSocial determinants of healthPerceptionMedicinePublic healthPhysical therapyNursing

Abstract

fetched live from OpenAlex

Understanding the factors involved in being active enough for health benefits is necessary to promote health-related physical activity. Given the documented role of social support in women's activity (Molloy et al. 2010), this study examined the relationship between Weiss's (1974) social provisions and health-related physical activity in young women. College undergraduate women (N = 136) from a kinesiology course completed a modified Social Provisions Scale (Cutrona and Russell 1987) and reported on the physical activity they engaged in with others over a 4-week period in the fall of 2011. We used average daily energy expenditure, calculated based on participants' reported activity involvement, to classify participants as either sufficiently or insufficiently active (Canadian Fitness & Lifestyle Research Institute 1999). A logistic regression using sufficient/insufficient activity levels for health as the dependent variable revealed that the six provisions reliably differentiated between those who were active enough for health benefits versus not. Of the six, two provisions were significantly associated with health-related physical activity--specifically, those who held higher perceptions of reassurance of worth and social integration were more likely to be in the sufficiently-active group. These results provide an initial indication of the specific social provisions associated with young women who are active enough to achieve health benefits.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.822

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 studies0.0010.000
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 head0.067
GPT teacher head0.379
Teacher spread0.312 · 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

Citations8
Published2015
Admission routes3
Has abstractyes

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