The Relationship of Intrinsic Fall Risk Factors to a Recent History of Falling in Older Women With Osteoporosis
Bibliographic record
Abstract
STUDY DESIGN: Cross-sectional descriptive analysis investigating intrinsic fall risk factors in postmenopausal women with osteoporosis. OBJECTIVE: To examine the relationships between history of recent falls and balance, pain, quality of life, function, posture, strength, and mobility. BACKGROUND: Women with osteoporosis who fall are at a high risk of fracture due to decreased bone strength. Identifying fall risk factors for older women with osteoporosis is a crucial step in decreasing the incidence of falls and fracture. METHOD AND MEASURES: Seventy-three women over 60 years of age with established osteoporosis participated in comprehensive testing of fall history, physical function, and quality of life. RESULTS: Significant correlations were found between a recent history of falls and degree of kyphosis (r = 0.29), fear of falls/emotional status (r = -0.27), and balance (r = -0.27). Degree of kyphosis and fear of falls/emotional status explained 20% of the variance of recent fall history using binary logistic regression. Women with an increased kyphosis were more likely to have had a recent fall (odds ratio [OR], 1.17; 95% CI, 1.03-1.34) and those with better emotional status and less fear of falling were less likely to have had a recent fall (OR, 0.61; 95% CI, 0.38-0.97). CONCLUSION: Increased thoracic kyphosis and fear of falling are 2 intrinsic factors associated with recent falls in women with osteoporosis. To design more effective interventions to decrease fall risk in this population, future prospective, longitudinal studies should monitor kyphosis, fear of falling, balance reactions, and other potential risk factors not identified in this study.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".