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Record W2767524556 · doi:10.12968/ijtr.2017.24.11.473

Perceptions of ‘physical activity’ and ‘exercise’ among people living with HIV: A qualitative study

2017· article· en· W2767524556 on OpenAlexaffabout
Kyle Vader, Alya Simonik, Denine Ellis, Dirouhi Kesbian, Priscilla Leung, Patrick Jachyra, Soo Chan Carusone, Kelly K. O’Brien

Bibliographic record

VenueInternational Journal of Therapy and Rehabilitation · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsCasey HouseToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsThematic analysisPerceptionQualitative researchPhysical activityPsychological interventionGerontologyPsychologyMedicineNursingPhysical therapy

Abstract

fetched live from OpenAlex

Background/Aims: Many people living with HIV do not engage in regular physical activity and it is unclear how perceptions of physical activity and exercise influence participation. Our aim was to explore individual perceptions of physical activity and exercise in people living with HIV. Methods: We conducted a descriptive qualitative study using face-to-face semi-structured interviews. We recruited adults who self-identified as living with HIV from a speciality hospital in Toronto, Canada. Interviews were audio-recorded, transcribed verbatim, and analysed using thematic analysis. Findings: A total of 14 participants with a median age of 50 years participated in the study. Four themes (and subsequent sub-themes) emerged relating to physical activity and exercise. These included: (1) perceptions of physical activity and exercise (seeing them as a continuum of activity, as a health-promoting behaviour, and that they ‘should’ be a greater priority); (2) benefits (restores physical function, improves mental health, and prevents isolation); (3) risks (physical injury, pain, and fear of ‘overdoing it’); and (4) recommendations for engagement (education, graded activity, and an individualised approach). Conclusions: Findings suggest health care professionals should consider exploring perceptions of physical activity and exercise among people living with HIV to ensure physical activity interventions are individualised to meet their diverse health and wellbeing needs.

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 score0.197
Threshold uncertainty score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.020
GPT teacher head0.390
Teacher spread0.371 · 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

Citations16
Published2017
Admission routes2
Has abstractyes

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