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Record W2909964256 · doi:10.1080/09638288.2018.1543463

Exploring physical activity and sedentary behaviour: perspectives of individuals with osteoarthritis and knee arthroplasty

2019· article· en· W2909964256 on OpenAlexaff
Sandra C. Webber, Jacquie Ripat, Navjot Pachu, Shaelyn M. Strachan

Bibliographic record

VenueDisability and Rehabilitation · 2019
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSittingOsteoarthritisThematic analysisSedentary behaviorPhysical therapySedentary lifestylePhysical activityPsychologyFocus groupCohortMedicineQualitative researchGerontologyAlternative medicine

Abstract

fetched live from OpenAlex

Purpose: To explore the understanding of physical activity and sedentary behaviour, including barriers and health influences in people with osteoarthritis and knee arthroplasty.Methods: Eight participants with knee osteoarthritis and 14 participants with total knee arthroplasty were recruited to five focus groups. Interpretive description was used with thematic analysis of data.Results: Three primary themes arose: (1) continuum of activity; (2) barriers to increasing physical activity and barriers to reducing sedentary behavior, and (3) knowledge gap. While participants were generally familiar with the concepts of physical activity and sedentary behaviour, they were not aware of health risks associated with high levels of sedentary time and did not consider substituting standing and light walking for activities typically done in sitting. Participants reported that extrinsic barriers (e.g., related to social and cultural contexts or the physical environment) influenced sedentary behaviour more than intrinsic factors.Conclusions: Patients would benefit from clinicians providing education about risks associated with sedentary behaviour and strategies to reduce and/or break up sitting time. Future research should continue to explore personal as well as societal, environmental, political, and economic influences on sedentary behaviour and physical activity to promote behaviour change.Implications for rehabilitationPeople with osteoarthritis and total knee arthroplasty are not aware of health risks associated with high levels of sedentary behaviour.This cohort tends to think about increasing moderate-to-vigorous physical activity levels (versus increasing light activity) when asked to consider ways to reduce sedentary behaviour.Social and environmental factors strongly influence sedentary behaviour. Clinicians need to be aware of the pervasive nature of sedentary behaviour and provide knowledge and strategies to change peoples’ sitting habits.Addressing intrinsic factors (e.g., related to comorbidities, ageing, and personal preferences) with education and the use of existing behaviour change techniques may enable increased physical activity 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.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0020.003
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 head0.027
GPT teacher head0.290
Teacher spread0.263 · 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 designQualitative
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

Citations40
Published2019
Admission routes1
Has abstractyes

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