The Role of Medications in Predicting Activity Restriction Due to a Fear of Falling
Bibliographic record
Abstract
OBJECTIVE: To examine the role of medication use and other factors in predicting activity restriction due to a fear of falling (AR/FF). METHODS: Older adults were assessed twice with the interRAI Community Health Assessment and the Berg Balance Scale (BBS). The main outcome was limiting going outdoors due to an AR/FF. Medications were recorded by trained assessors. RESULTS: Participants (n = 441) had a mean age of 80.3 (SD = 7.1) years, most were aged 65+ (96.8%) and 29.3% reported activity restriction. Taking nervous system active or cardiovascular medications was associated with AR/FF. In a multivariate model, the main predictors were having 3+ comorbid health conditions, lower (i.e., worse) scores on the BBS, having difficulty with climbing stairs, and having a visual impairment. DISCUSSION: Modifiable risk factors, related to functional impairments, such as difficulties with balance and vision, appear to be more important predictors than medications.
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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 | 0.003 | 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".