Impact of Falls and Fear of Falling on Participation, Autonomy and Life Satisfaction in the First Year After Spinal Cord Injury
Bibliographic record
Abstract
Introduction Individuals with spinal cord injury (SCI) experience reduced participation in meaningful activities, leading to reduced social engagement and negative psychological impact. Two factors that may affect participation post-SCI are fall status (e.g., having experienced a fall) and having a fear of falling. Our objective was to examine if and how fall status and fear of falling impact participation, autonomy and life satisfaction in the first year post-injury. Methods Adult inpatients of a SCI rehabilitation hospital were recruited. Following discharge, falls were tracked for 6 months and participants who fell at least once were categorized as “fallers”. At the end of the 6-month period, the Impact on Participation and Autonomy Questionnaire and Life Satisfaction Questionnaire 9 were administered, and participants were asked if they had a fear of falling (i.e., an ongoing concern about falling leading to the avoidance of activities they are capable of doing). Falls were reported using descriptive statistics. Ordinary least squares regression was used to evaluate the relationships between the independent variables (i.e., fall status and fear of falling) and each dependent variable (i.e., questionnaire scores). Results Seventy-one individuals were enrolled in the study; however, 11 participants were lost to follow-up. The included participants (n = 60) were 58.4 ± 14.6 years old and 99 ± 60.3 days post-injury. Over one third (38.3%) of participants fell over the 6-month tracking period. Twenty-seven participants (45%) reported a fear of falling and 14 (51.9%) of these participants were fallers. Fear of falling significantly predicted scores of autonomy indoors (β = 3.38, p = 0.04), autonomy outdoors (β = 2.62, p = 0.04) and family role (β = 3.52, p = 0.05). Conclusion Individuals with subacute SCI and a fear of falling experienced reduced participation and autonomy, but with no differences in life satisfaction compared to those without a fear of falling. In contrast, having experienced a fall did not impact participation, autonomy or life satisfaction. In the first year after SCI, rehabilitation programs should place specific attention on the presence of fear of falling to help individuals with SCI prepare for everyday mobility challenges.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".