The Role of Neighborhood Safety in Recovery From Mobility Limitations
Bibliographic record
Abstract
Prior research has documented a link between perceived neighborhood safety and functional limitations including incident mobility limitation, yet no research has explored the association between perceived neighborhood safety and recovery from functional limitations. This study investigates whether perceived neighborhood safety independently predicts recovery. Using longitudinal data from the Health and Retirement Study (HRS) (1996-2008), discrete-time event history models with multiple competing events were estimated using multinomial logistic regression. Robust standard errors were used to adjust for clustering. In the unadjusted model, the odds ratio for recovery from mobility limitations was 1.22 (CI: 1.17, 1.27) for respondents reporting greater neighborhood safety, while, in the fully adjusted model, the odds ratio was 1.11 (CI: 1.05, 1.17). Even after controlling for sociodemographic characteristics and numerous health risk factors, perceived neighborhood safety was a robust predictor of mobility limitation recovery. This research provides further evidence that environmental factors shape functional health outcomes including recovery.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".