Obesity and falls injuries risk: Is there a relevant connection in older adults?
Bibliographic record
Abstract
Obesity, which is on the rise, is a risk factor for, as well as a possible negative outcome mediator of multiple health issues, including bone mineral losses, cardiovascular impairments, and falls injuries and fractures among many in the older adult population and others. This brief examines what we know about obesity and falls injuries as applied to the older adult, a topic that is arguably of high import, but not always stressed in the obesity literature. Using the PUBMED and GOOGLE SCHOLAR data bases relevant data on this topic were sought. These data bases show that it is possible some older adults who exhibit excess body mass indicators may be prone to falling and sustaining injuries that may reinforce their tendency towards debility or increase this. Even if not applicable to all older adults, advocating for optimal body weight, and regular physical activity bouts across the lifespan may prove helpful in abating the disability observed due to the presence of an obesity state plus any associated single or multiple injurious falls in later life.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".