Polyvictimization and Recurrent Falling in Older Ecuadorian Adults: The Mediation Role of Depressive Symptoms
Bibliographic record
Abstract
Objective: To assess depressive symptoms as a mediator in the association between polyvictimization and recurrent falling. Methods: Using data from the Salud, Bienestar y Envejecimiento (Health, Well-being, and Aging) Ecuador Study, we analyzed community-dwelling adults 60 years and older ( n = 5227). Recurrent falling was determined as ≥2 falls during the prior 12 months. Polyvictimization was determined as a history of ≥2 types of abuse. The mediator was depressive symptoms. Mediation analyses were based on the VanderWeele method. Results: Polyvictimization was significantly associated with higher odds of recurrent falling, and odds ratio (OR) = 1.45 (95% confidence intervals [CI] 1.20–1.76). Higher depressive symptoms increase the odds for recurrent falling (OR = 1.09 and 95% CI 1.07–1.11). Moreover, depressive symptoms were a significant mediator between polyvictimization and recurrent falling. The mediating effect was 28.4%. Discussion: Polyvictimization was associated with higher odds of recurrent falling, and this association was mediated by depressive symptoms.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".