Depressive symptoms are independently associated with recurrent falls in community-dwelling older adults
Bibliographic record
Abstract
BACKGROUND: Falls and depression are two major public health problems that affect millions of older people each year. Several factors associated with falls are also related to depressive symptoms such as medical conditions, sleep quality, use of medications, cognitive functioning, and physical capacities. To date, studies that investigated the association between falls and depressive symptoms did not control for all these shared factors. The current study addresses this issue by examining the relationship between falls and depression symptoms after controlling for several confounders. METHODS: Eighty-two community-dwelling older adults were enrolled in this study. The Geriatric Depression Scale (GDS-30) was used to evaluate the presence of depressive symptoms, and the following question was used to assess falls: "Did you fall in the last 12 months, and if so, how many times?" RESULTS: Univariate analyses indicated that the number of falls was significantly correlated with gender (women), fractures, asthma, physical inactivity, presence of depressive symptoms, complaints about quality of sleep, use of antidepressant drugs, and low functional capacities. Multivariate analyses revealed that depressive symptoms were significantly and independently linked to recurrent falls after controlling for confounders. CONCLUSIONS: Results of the present study highlight the importance of assessing depressive symptoms during a fall risk assessment.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".