Barriers and Promoters for Enrollment to a Community-Based Tai Chi Program for Older, Low-Income, and Ethnically Diverse Adults
Bibliographic record
Abstract
BACKGROUND: Low-income, ethnically diverse, older adults may be at greater health risk owing to their lower activity levels and potential cultural barriers to physical activity (PA) programs. To explore the specific barriers and promoters to enrollment to a 16-week Tai Chi (TC) program, we interviewed 87 lower socioeconomic older adults from multiple ethnic backgrounds before the initiation of a TC program. METHOD: Semistructured qualitative focus group interviews were conducted with questions focused on themes of barriers and promoters to enrollment in a TC program that might or might not be culturally or gender related. RESULTS: Important issues emerged that covered six categories. Categories included physical and mental health, time of day, socialization, program pairing, accessibility, and appropriate leadership/teacher. CONCLUSION: This information may have value for tailoring future PA programming in the community that could lead to improved health outcomes through better enrollment and increased participation in PA and exercise.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".