Psychometric Properties of the Balance Self-Efficacy Scale in People With Stroke
Bibliographic record
Abstract
Objective: To investigate the psychometric properties of the balance self-efficacy (BSE) scale in people with stroke. METHODS: This is a cross-sectional study held in a university-based rehabilitation center. Sixty- three people with stroke and 30 healthy older adults were included from the community dwelling. The people with stroke underwent the following assessments in a random order: the BSE, Fugl-Meyer Assessment of Lower Extremity (FMA-LE), muscle strength of plantar flexors and dorsiflexors, Montreal Cognitive Assessment, Berg Balance Scale, Limit of Stability (LOS), Foot and Ankle Ability Measure (FAAM), 12-Item Short Form Survey (SF-12) version 2, and Oxford Participation and Activities Questionnaire (Ox-PAQ). The healthy older adults were assessed with BSE. RESULTS: The BSE scale demonstrated good test-retest reliability (intraclass correlation coefficient= 0.796) with minimal detectable change at a 95% confidence interval of 433.74 and cut-off score of 1,225, which best differentiated between people with stroke and healthy older adults. The BSE score was significantly correlated with the FMA-LE score, muscle strength of the affected side ankle dorsiflexor and plantar flexor, LOS parameter, FAAM, SF- 12, and Ox-PAQ scores. Conclusion: The BSE scale is a reliable clinical tool with good test-retest reliability. The BSE scores were significantly correlated with other outcome measures that assess motor functions, balance, and quality of life. It is a simple and easy-to-administer outcome measure for assessing BSE in people with stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".