Exploring experiences engaging in exercise from the perspectives of women living with HIV: A qualitative study
Bibliographic record
Abstract
OBJECTIVES: To explore experiences engaging in exercise from the perspectives of women living with HIV, specifically, i) nature and extent of exercise, ii) components that characterize exercise experiences, iii) facilitators and barriers, and iv) strategies for uptake and sustainability of exercise. DESIGN: Qualitative descriptive study involving online semi-structured interviews. RECRUITMENT: We recruited women living with HIV from a specialty hospital, community-based organization, and medical clinic in Toronto, Canada. PARTICIPANTS: Ten women living with HIV who may or may not have engaged in exercise. DATA COLLECTION: Using a semi-structured interview guide, we asked participants to describe their experiences with, facilitators and barriers to, and strategies to facilitate uptake of exercise. We electronically administered a demographic questionnaire to describe personal, HIV and physical activity characteristics of participants. We conducted a descriptive thematic analysis with the interview data, and descriptive analysis (medians, frequencies, percentages) of questionnaire responses. RESULTS: Women characterized their experiences with exercise with six intersecting components: (1) culture, (2) gender, (3) HIV-related stigma, (4) episodic nature of HIV, (5) sense of belonging, and (6) perceptions of exercise. Facilitators to exercise included: aspirations to achieve a healthy lifestyle, using exercise as a mental diversion, having an exercise companion, and receiving financial support from community-based organizations to facilitate engagement. Barriers to exercise included: limited resources (lack of mental-health support and fitness resources in the community), financial limitations, time and gym restrictions, and cold winter weather conditions. Strategies to facilitate uptake of exercise included: creating social interactions, provision of online exercise classes, raising awareness and education about exercise, and offering practical support. CONCLUSIONS: Experiences with exercise among women living with HIV were characterized by intersecting personal and environmental contextual components. Results may help inform tailored implementation of exercise rehabilitation programs to enhance uptake of exercise and health outcomes among women living with HIV.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".