Psychometric Properties of the Falls Efficacy Scale-International, Cut-off Points, and Validating its Short Version Among Iranian Older People
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Bibliographic record
Abstract
Objectives: Older people have a fear of falling, which is far more difficult than falling itself. We measured the extent of this feeling using a short and valid Falls Efficacy Scale-International (FES-I) 7-item questionnaire for the aging community in Iran. Methods: The present psychometric work deals with outlining the validation and translation of FES-I (short version) among 9117 Persian-speaking elderly people with a mean age of 70.2±8.3 years (54.1% female and 45.9% male) in July 2021. Investigations were performed on confirmatory factor analysis, exploratory factor analysis, internal consistency, and construct validity along with test-retest reliability, receiver operating characteristic analysis, inter-rater, and convergent validity. Results: 72.4% of the subjects were living alone, 92.9% required support in activities of daily living , and 93.0% experienced falling in the past two years. A one-factor solution was assigned by exploratory factor analysis for FES-I. Thus, this model was proved by the confirmatory factor analysis with valid fit indices. Based on Cronbach’s alpha, intra-cluster correlation coefficient, and McDonald’s omega (≥ 0.80), internal consistency was confirmed. The exact cut-off value was represented by the receiver operating characteristic analysis for male/female and between with/without fear of falling among older samples with higher measures of specificity and sensitivity. Moreover, a significant effect of age, aging in place, loneliness, hospitalization rate, frailty, and sense of anxiety (effect size ≥ 0.80, p ≤ 0.05) on fear of falls was detected using analysis of variance.Conclusions: The psychometric properties of the original scale were preserved by the Persian version of FES-I seven items as a self-reported measure of fear of falling. It could be assuredly a measure in both community and clinical settings. The possible uses and limitations of the Iranian FES-I were also discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it