Examining the relationships between environmental barriers and leisure in community-dwelling individuals living with stroke
Bibliographic record
Abstract
OBJECTIVE:: To characterize environmental barriers to leisure participation among individuals living with stroke; examine relationships between environmental barriers and leisure interest and satisfaction; and investigate participant factors associated with the perception of environmental barriers. DESIGN:: Survey. SETTING:: Community. PARTICIPANTS:: Convenience sample of 51 community-dwelling adults less than six months post stroke. INTERVENTIONS:: Not applicable. MAIN OUTCOME MEASURE(S):: Craig Hospital Inventory of Environmental Factors-Short Form. RESULTS:: Physical and structural environmental barriers were reported as the most frequent and large barrier to leisure participation ( n = 26 (51%) rated as "monthly or more," n = 12 (24%) rated as "big problem"). While attitude and support and policy barriers were not as commonly encountered, participants labeled these as "big problem(s)" (attitude and support n = 6 (12%), policy n = 7 (14%)). The presence of depressive symptoms was associated with the frequency in which attitudinal and support (rho = 0.50, P < 0.001), physical and structural (rho = 0.46, P < 0.001), and service and assistance (rho = 0.28, P = 0.04) barriers were reported, as well as magnitude of attitude and support barriers (rho = 0.48, P < 0.001). In multivariable regression analysis, depressive symptoms and walking capacity explained 21% of the variance of the frequency of attitude and support barriers ( P = 0.004), where depressive symptoms was an independent correlate ( P = 0.004). No other factors were associated with environmental barriers to leisure participation. CONCLUSION:: Individuals with stroke report frequent and large physical and structural environmental barriers to leisure participation, which may be associated with the presence of depressive symptoms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".