TRANSPORTATION MOBILITY AND SOCIAL ISOLATION IN COMMUNITY-DWELLING OLDER ADULTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social isolation is a common problem in community-dwelling older adults, with prevalence estimated to range from 10% to 43%. Social isolation is associated with negative health outcomes (all-cause mortality, dementia, falls, and re-hospitalizations) and reductions in quality of life and well-being in the older adult population. Despite the importance of transportation mobility to social integration, few studies have examined the relationship between of transportation mobility and social isolation in older adults. Our primary objective was to examine the factors associated with social isolation in drivers and non-drivers 65 years of age and older in rural and urban communities in the province of Alberta. Telephone interviews were conducted with adults 65+ in rural and urban Alberta, with RDD primarily used to generate the sampling frame. Predictor variables included age, gender, living arrangements, driving status, QoL, and well-being. The primary outcome variable was a composite measure of social isolation (lacking companionship, feeling left out, and feeling isolated). Overall, 1390 older adults were interviewed (1043 drivers/347 non-drivers). Results from a logistic regression indicated that driving status was a significant predictor of social isolation, with non-drivers scoring significantly higher than drivers. Gender (females), QoL (lower), and well-being (lower) also were predictive of social isolation (all P’s < .05), with the combined variables accounting for more than 20% of the variance. Our results highlight the important role that driving status plays in social isolation in community-dwelling older adults in both urban and rural areas.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it