Everyday Physical Activity as a Predictor of Late-Life Mortality
Bibliographic record
Abstract
PURPOSE: The present study hypothesized that simple, everyday physical activity (EPA) would decline with advancing age; that women would have a more favorable EPA profile than would men; and that EPA would have a survival benefit. DESIGN AND METHODS: Community-dwelling participants (aged 80-98 years, n = 198) wore mechanical actigraphs in order for EPA to be assessed. Individuals were classified as active, inactive, and sedentary based on their level of EPA exhibited over a substantial part of the day. Survival status was available at approximately 2 years. RESULTS: Mean EPA scores decreased with advancing age and, in contrast to men, women in their early eighties appeared to be protected from declining EPA. This partially supported the hypothesis that women would have a more favorable EPA profile. What is most important is that mean EPA scores predicted mortality. Moreover, when compared with their less sedentary counterparts, sedentary adults were more than three times as likely to be deceased 2 years later. IMPLICATIONS: Researchers need to conduct new trials to determine whether or how physical activity is associated with mortality.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".