A Longitudinal Investigation of Fear of Falling, Fear of Pain, and Activity Avoidance in Community-Dwelling Older Adults
Bibliographic record
Abstract
OBJECTIVE: The primary purpose of this study was to examine the role of fear of falling, fear of pain, and associated activity avoidance in the prediction of pain and falls. METHOD: A 6-month longitudinal study of older community-dwelling adults. RESULTS: The authors found that fear of falling is a better predictor of falls than is activity avoidance. Moreover, fear of pain did not predict future pain-related avoidance or future pain in the sample of seniors. DISCUSSION: The findings confirm the ability of fear of falling to predict falls but challenge preexisting models developed to account for the relationship between falls and fear. The findings also suggest limits on the generalizability of fear-avoidance models of pain. The authors conclude by suggesting mechanisms that could account for the relationship of fears with falls and pain. Unlike previous conceptualizations, these mechanisms do not rely on activity avoidance as an explanation.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".