EXPLORING PHYSICAL ACTIVITY ENGAGEMENT AND SUPPORT IN INDIVIDUALS WITH SYSTEMIC LUPUS ERYTHEMATOSUS: THE IMPACT OF SOCIAL SUPPORT, HEALTHCARE PROVIDER RELATIONSHIPS, AND BUILT ENVIRONMENTS
Bibliographic record
Abstract
PV074 / #830 Poster Topic: AS10 - Environment and SLE Background/Purpose Physical activity is recognized as a valuable form of treatment for managing lupus, but a significant number of individuals with lupus do not meet the recommended guidelines. Moreover, examining social determinants of health in the context of lupus research is vital for a comprehensive understanding of how external factors impact the experiences and health outcomes of people with lupus. Lupus is not only influenced by biological factors but is also intricately connected to social, economic, and environmental conditions. This study aims to explore the experiences of individuals with systemic lupus erythematosus (SLE) regarding physical activity access and support, focusing on the roles of social supports, healthcare provider relationships, and built environments. Methods We used a qualitative, interpretive description approach involving semistructured interviews with adults with SLE. The interview guide included questions on how current physical function, social supports, healthcare provider relationships and conversations, and built environments impact physical activity engagement. We analyzed the deidentified transcripts using deductive, thematic analysis with input from representatives of the study population. Our theme development focused on how the intersection of SLE and social determinants influence physical activity engagement and support. Results This study included 31 interviews (100% female, age range = 24-65 years). Our analysis resulted in 3 main themes: 1) The paradox of social support: Encouraging and prohibiting physical activity; 2) Underutilized position of power: Healthcare provider influence on physical activity engagement; and 3) SLE amplifies the challenges of navigating the built environment. Conclusions This study highlights the role of social and built environments in shaping physical activity engagement among individuals with SLE. By acknowledging the complex interplay between physical activity and SLE management, our findings can guide healthcare providers in personalizing their advice and interventions to accommodate each patient’s distinct social and environmental circumstances. Further, this study emphasizes the importance of collaboration between healthcare systems and community planners to develop supportive environments and infrastructure to mitigate physical activity barriers.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".