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Physical Activity and Social Physique Anxiety in Older Women: The Moderating Effects of Self‐Presentation Efficacy

2003· article· en· W2014546297 on OpenAlexaff
Jennifer Woodgate, Kathleen A. Martin Ginis, Adrienne R. Sinden

Bibliographic record

VenueJournal of Applied Biobehavioral Research · 2003
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcMaster UniversityUniversity of Waterloo
Fundersnot available
KeywordsModerationPsychologyPhysical activityAnxietyAnalysis of varianceInteractionClinical psychologyRegression analysisDevelopmental psychologyMedicinePhysical therapySocial psychologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Given the inconsistent relationships observed between social physique anxiety (SPA) and physical activity, it is possible that other variables moderate this relationship. This study examined self‐presentation efficacy (SPE) as a potential moderator. Participants were 81 older women. Multiple regression analysis revealed that SPA, SPE, and the SPA x SPE interaction significantly predicted physical activity, with the SPA x SPE interaction explaining 6% of the variance in activity. Evaluation of this interaction indicated that SPA was negatively correlated with activity only for women with high and mean SPE and was unrelated to activity for women with low SPE. These findings suggest that, for older women, lower levels of SPA are not always related to greater activity. Rather, SPE is an important moderator of the SPA‐physical activity relationship.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.000

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 head0.045
GPT teacher head0.417
Teacher spread0.372 · 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

Citations22
Published2003
Admission routes1
Has abstractyes

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