Influence of Physical Activity on Age-Related Weight Loss in the Elderly
Bibliographic record
Abstract
BACKGROUND: Little is known about the effects of physical activity on weight loss in older adults. METHODS: Participants included 4512 community-dwelling older (> or =65 yr) men and women from the Cardiovascular Health Study. Physical activity (PA) was determined from a questionnaire at baseline and subjects were divided into sex-specific PA quartiles. Weight was measured at baseline and annually over the 8 years of follow-up. The influence of PA on longitudinal changes in body weight was examined using mixed models while adjusting for lifestyle variables, sociodemographic characteristics, and disease status. RESULTS: Body weight declined in a curvilinear manner over time with accelerated weight loss occurring in the final years. Over the 8 yr follow-up period, the least active PA quartile lost 2.72 kg. Weight loss was attenuated by 0.55 kg (20%, P = .057), 0.80 kg (29%, P = .05), and 0.69 kg (25%, P = .016) within the second through fourth PA quartiles. The effects of PA did not differ by gender, but increased with advancing age. CONCLUSION: Participation in modest amounts of PA attenuated age-related weight loss by approximately 25% with little additional benefit observed at higher PA levels. This finding adds to the growing number of health outcomes that are positively affected by PA.
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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) | 0.001 | 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".