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Record W3120258205 · doi:10.1123/kr.2020-0005

A Meta-Study of Qualitative Research on Social Support Related to Physical Activity Among Older Adults

2021· article· en· W3120258205 on OpenAlexaff
L. Jayne Beselt, Michelle C. Patterson, Meghan H. McDonough, Jennifer Hewson, Scott MacKay

Bibliographic record

VenueKinesiology Review · 2021
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSocial supportPsychologyQualitative researchMeta-analysisGerontologyPhysical activityDevelopmental psychologyClinical psychologySocial psychologyMedicineSociology

Abstract

fetched live from OpenAlex

Physical activity (PA) and social support have known benefits for the well-being and health of older adults, and social support is associated with PA behavior and positive affective experiences in PA contexts. The aim of this study was to synthesize qualitative research conducted on the experiences of social support related to PA among older adults (age ≥55 years). Following meta-study methodology, the authors searched nine databases and extracted information from 31 studies. Results were synthesized in terms of common themes and in light of theoretical and methodological perspectives used. The qualitative literature identifies supportive behaviors and social network outcomes which may be useful for informing how best to support older adults to be physically active. This literature rarely reflected the experiences of vulnerable populations, and future research should aim to further understand supportive behaviors which enable older adults to overcome barriers and challenges to being physically active.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.950
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.491
GPT teacher head0.586
Teacher spread0.096 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

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