Healthy Aging and Where You Live: Community Design Relationships With Physical Activity and Body Weight in Older Americans
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
BACKGROUND: Suburban development patterns may impede physical activity (PA) and mobility and affect healthy aging. This paper investigates the relationships between neighborhood design and walking, driving, PA, and obesity in adults over age 65 years. METHODS: Data from the SMARTRAQ (Atlanta region) survey provided measures of PA, BMI, SES, and travel patterns. Neighborhood design was measured using a walkability index (residential density, street connectivity, retail density, and land use mix). Chi square and regression was used to evaluate relationships. RESULTS: Increased walkability was related with more walking (OR 2.02), less time spent traveling in a car (OR .53), and lower odds of being overweight (OR .68). Those with 1 or no cars were more likely to walk (OR 2.9) and spend less time in cars (OR .53); but also less likely to get recommended levels of PA (OR .55). Visiting a fast food outlet was associated with increased odds of obesity (OR 1.81). CONCLUSIONS: Policies are needed to bring older Americans closer to shops and services and healthy food outlets as a means of encouraging regular walking and healthy body weight. Incentives to encourage neighborhood grocery stores and affordable housing in central areas along with regulatory reform through zoning can encourage PA and healthy body weight in the elderly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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