Comparing the causes, circumstances and consequences of falls across mobility statuses among individuals with spinal cord injury: A secondary analysis
Bibliographic record
Abstract
OBJECTIVE: To compare the occurrence of falls and fall-related injuries, and the circumstances of falls among individuals with spinal cord injury (SCI) who ambulate full-time, use a wheelchair full-time and ambulate part-time. DESIGN: A secondary analysis. SETTING: Community. PARTICIPANTS: Adults with SCI. INTERVENTION: None. OUTCOME MEASURES: The occurrence and circumstances of falls and fall-related injuries were tracked over six-months using a survey. Participants were grouped by mobility and fall status. A chi-square test compared the occurrence of falls and fall-related injuries, and the time and location of falls, and a negative binomial regression was used to predict the likelihood of falls by mobility status. Kaplan-Meier analysis was used to determine differences in the time to first fall based on mobility status. Group characteristics and causes of falls were described. RESULTS: = 8) were analyzed. Mobility status was a significant predictor of falls (P < 0.01); individuals who used a wheelchair full-time had a third of the likelihood of falling than those who ambulated full-time (P < 0.01). Type of fall-related injuries differed by mobility status. Those who ambulated full-time fell more in the daytime (P < 0.01). Individuals who ambulated full-time and part-time commonly fell while walking due to poor balance, and their legs giving out, respectively. Those who used a wheelchair full-time typically fell while transferring when rushed. CONCLUSION: Mobility status influences the likelihood and circumstances of falls. Mobility status should be considered when planning fall prevention education/training for individuals with SCI.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| 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".