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Record W2611301211

Factors influencing sedentary behaviour in older adults: An ecological approach

2016· article· en· W2611301211 on OpenAlex
Patricia L. Weir, Linna Tam‐Seto, Shilpa Dogra

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2016
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsOntario Tech UniversityQueen's UniversityUniversity of Windsor
Fundersnot available
KeywordsHealth promotionGerontologySedentary lifestylePsychologyPhysical activityFocus groupPublic healthSedentary behaviorIntervention (counseling)MedicinePhysical therapySociology
DOInot available

Abstract

fetched live from OpenAlex

Older adults represent one of the most sedentary populations worldwide, and as a result are at risk of negative health outcomes. Knowledge translation tools and public health promotion strategies are needed; however, little evidence is available to inform framing of such tools or development of intervention programs. Using Owen et al.'s (2011) ecological model, the current study examined the four sedentary behaviour domains; household, transport, leisure time and occupation with participants drawn from community seniors centres. The participants (n=26, 74±8.5 years) were involved in a range of sedentary and physical activities at the centres. Four focus groups were conducted to examine perceptions of sedentary behaviour, the range of activities participated in, factors influencing participation etc. Two dominant themes emerged, barriers and promoters of sedentary behaviour and these were further delineated into intrinsic and extrinsic factors. Results were synthesized to develop appropriate messaging and greater uptake of programming and guidelines thereby informing public health strategies. For example, in order to develop successful programs to combat sedentary behaviours the program should include both a social component and a mentally stimulating component, as these were identified for enjoyment and motivation. In conclusion the results clearly supported that sedentary time reduction strategies will need to consider each of the four domains in which older adults accumulate sedentary time. Acknowledgments: UOIT Internal Funding

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)0.000
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 score0.005
Threshold uncertainty score0.310

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 integrity0.0000.000
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 head0.029
GPT teacher head0.293
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