MétaCan
Menu
Back to cohort
Record W4403156118 · doi:10.1177/23337214241278132

Exploring How Older Adult’s Gender Role is Associated with Studied Outcomes Following an Outdoor Exercise Structure Program

2024· article· en· W4403156118 on OpenAlexaff
Evelyn Araneda, Brianna Leadbetter, Martin Sénéchal, Danielle R. B̀ouchard

Bibliographic record

VenueGerontology and Geriatric Medicine · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPhysical therapyInterquartile rangeIntervention (counseling)GerontologyMedicineTest (biology)Psychology

Abstract

fetched live from OpenAlex

This study aimed to describe the gender roles of people interested in an exercise program done on outdoor exercise structures and test if gender roles were associated with studied outcomes. Older adults aged 65+ who were not currently performing resistance training were invited to participate. Gender roles were quantified using the Bem Sex Role Inventory 30-item questionnaire (−60 [feminine] to +60 [masculine]). Outcomes included completing the 6-week intervention (Y/N) and changes in physical function (one leg stance, 30-s chair stand), strength (predicted maximal chest press and leg press, grip strength), power (knee extensor power), and overall health via the SF-36 questionnaire. Twenty-nine adults (65.5% female; median 72 years old) participated in the study, and 17 completed the intervention (58.6%). The median (interquartile) gender role score was −13.0 (−19.5 to −8.5), with no gender role difference ( p = .62) between completers and non-completers. These results suggest that older adults interested in such a program portray themselves as more feminine. No association was found between gender role scores and changes in any study outcomes. In this setting, gender roles did not seem to impact the study outcomes and therefore may not need to be considered when designing an outdoor exercise structure program.

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)0.000
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 score0.562
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.192
GPT teacher head0.456
Teacher spread0.264 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueGerontology and Geriatric MedicineSame topicPhysical Education and PedagogyFrench-language works237,207