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Record W2579199878 · doi:10.1177/2325957416686836

Community-Based Exercise in the Context of HIV: Factors to Consider when Developing and Implementing Community-Based Exercise Programs for People Living with HIV

2017· article· en· W2579199878 on OpenAlexafffundabout
Anna Li, Taylor McCabe, Erin Silverstein, Stephanie Dragan, Nancy M. Salbach, Mehdi Zobeiry, Sarah Beldick, Chris Godi, Kelly K. O’Brien

Bibliographic record

VenueJournal of the International Association of Providers of AIDS Care (JIAPAC) · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsYMCA of Greater VancouverHamilton Health SciencesToronto Rehabilitation InstitutePopulation Health Research InstituteUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsRecreationHuman immunodeficiency virus (HIV)MedicineContext (archaeology)Developing countryRehabilitationQualitative researchDescriptive statisticsGerontologyPhysical activityNursingMedical educationFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify factors to consider for developing and implementing a community-based exercise (CBE) program for people living with HIV (PLWH). METHODS: We conducted a qualitative descriptive study using semi-structured interviews with PLWH, rehabilitation professionals, and recreation providers from Canada and the United Kingdom. We asked participants to describe their experience with exercise, facilitators, and barriers to accessing and participating in exercise, and factors to consider in developing a CBE program for PLWH. Interviews were analyzed using content analytical techniques. RESULTS: We developed a Framework of CBE in the Context of HIV that describes (1) exercise experiences of PLWH (nature of exercise, motivators for initiating or sustaining exercise, perceived benefits, and barriers and facilitators to exercise) and (2) 11 factors to consider in developing and implementing a CBE program for PLWH. CONCLUSION: Recommendations for the development and implementation of an accessible and feasible CBE program may enhance exercise participation among PLWH.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.333
Teacher spread0.290 · 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

Citations39
Published2017
Admission routes3
Has abstractyes

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