The association of multiple built environment factors with a clinical measure of grip strength
Bibliographic record
Abstract
Background: Population-level interventions that promote healthy aging through modifications to the built environment are likely to be more effective than individual-level interventions. Few studies have examined the influence of multiple built environment factors on measures of healthy aging. Objectives: We leveraged detailed data from a population-based cohort study to examine how multiple aspects of the built environment were associated with grip strength, a well-accepted measure of age-related health status. Methods: ), greenness, light-at-night, and walkability were linked to participant residential postal codes. Grip strength was measured using a digital hydraulic hand dynamometer. Logistic regression analyses were used to estimate the odds of having sex-specific clinically weak measures of grip strength in association with each built environment factor. The other built environment factors, demographics, and lifestyle factors were evaluated as confounders. Results: and greenness were statistically significantly associated with increased and decreased odds of having clinically weak grip strength, respectively, after adjusting for demographic, lifestyle, and other built environment factors. Conclusion: Our findings suggest that built environment factors are compelling targets for improving age-related health, though the mechanisms underlying associations with these factors, particularly greenness, remain uncertain.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 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".