A 12-month incidence of exercise-related injuries in previously sedentary community-dwelling older adults following an exercise intervention
Bibliographic record
Abstract
OBJECTIVES: Fear of injury is reported as a barrier to exercise by older adults. However, the literature is limited in describing exercise injuries in older adults. DESIGN: This study prospectively evaluated the 12-month incidence of exercise-related injuries to community-dwelling older adults (n=167 respondents; 63 men, 104 women; mean age 69±5 year). METHODS: A questionnaire developed for use in older adults was administered to document self-reported injuries. Linear regression analysis was conducted to identify covariates related to injury outcomes. RESULTS: 23 people (14%) reported injuries. 41% of injuries were to the lower extremities, where the most common type was overuse muscle strains (32%, n=7). Overexertion was the most common cause of injury (n=9) and walking accounted for half of the activities during which injury occurred. 70% of injuries required medical treatment. 44% were not able to continue exercising after injury and return-to-activity time varied from 1 to 182 days. Sex, age and exercise volume were not significantly associated with injury occurrence. CONCLUSIONS: These results showed similar, or lower, exercise-related injury rates as compared with previous reports on younger and middle-aged adults; however, the definition of, and criteria for, 'injury' reporting varies in the literature. This study indicates that older adults taking up exercise are not at increased risk of injury versus younger age groups.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".