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Record W2923903670 · doi:10.1519/jpt.0000000000000237

Physical Activity of Older Women Living in Retirement Communities: Capturing the Whole Picture Through an Ecological Approach

2019· article· en· W2923903670 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Geriatric Physical Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistPsychological interventionGerontologySocial ecological modelActivities of daily livingQualitative researchPhysical activityEcological psychologyPsychologyActive livingEcologyMedicineNursingSociologySocial psychologyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Interventions to increase physical activity among older populations may prevent or delay disability in activities of daily living and premature death. In our research, we focused on older women living independently in retirement communities, who commonly experience declining health. The purpose was to identify factors influencing physical activity in older women and to create a practical checklist to guide physical therapists in physical activity interventions within retirement communities. METHODS: The study was qualitative and guided by the Vancouver School of Doing Phenomenology. The data set comprised 12 in-depth interviews with 10 women, as 2 of the women were interviewed twice to deepen the understanding of their experience. They were aged 72 to 97 years (median = 84 years, interquartile range = 11 years) and lived in 7 different apartment buildings in the same urban area. The interviews were recorded, transcribed, and analyzed to identify factors influencing the physical activity behavior of the women. We then linked these factors to the Bronfenbrenner's ecological model and finally constructed a checklist for mapping the influencing factors. RESULTS: The physical activity experience of the older women reflected both facilitating and hindering factors from all layers of the ecological model. The largest part of the women's description was constructed around personal factors and the immediate physical and social environment. Yet, important influencing factors were expressed reflecting community, society, and the lifespan. Finally, the practical checklist created to guide physical activity interventions included 40 questions reflecting 24 influencing factors covering important layers of the ecological model. CONCLUSION: To deal with the epidemic of a sedentary lifestyle in older populations, physical therapists must join forces with health authorities and work with the complexities of physical activity promotion at appropriate levels. Our results and the checklist are a potential resource to aid in identifying physical activity influencing factors that are appropriate for physical therapy intervention, within retirement communities. Moreover, this checklist may be used to recognize factors that are more suitable for public health interventions at the community or national levels.

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.

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 score0.893
Threshold uncertainty score0.541

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 studies0.0000.000
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 head0.050
GPT teacher head0.329
Teacher spread0.279 · 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