Prevalence and Determinants of Frailty in Community‐Dwelling Iranian Older Adults: A Cross‐Sectional Study
Bibliographic record
Abstract
ABSTRACT Background and Aims Frailty is one of the most common syndromes in old age. This syndrome, associated with adverse health outcomes and increased economic costs, can affect the quality of life of elderly people. This study investigates the prevalence and determinants of frailty in community‐dwelling Iranian older adults. Methods This analytical cross‐sectional study was conducted over 5 months among the retired elderly people (> 60 years) in Isfahan. The tools used in this study included a demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI), an assessment of polypharmacy, and the Edmonton Frail Scale. Data were analyzed using statistical tests in SPSS software. Results The prevalence of frailty, based on the Edmonton Frail Scale, was 17.4%. No statistically significant difference in mean frailty scores was observed between men and women ( p = 0.286). Logistic regression analysis showed that older age ( B = 0.067, OR = 1.07, 95% CI: 1.01–1.15), lower education ( B = −2.66, OR for MSc = 0.07, 95% CI: 0.00–0.74), polypharmacy ( B = 1.82, OR = 6.16, 95% CI: 2.8–13.50), and poor sleep quality ( B = 0.59, OR = 1.80, 95% CI: 0.88–3.78) were significantly associated with a higher likelihood of frailty ( p < 0.05). Conclusion This study's results indicated that age, education, polypharmacy, and poor sleep quality are associated with an increased risk of frailty in Iranian elderly people. Therefore, timely screening and intervention are recommended to identify these factors and prevent their irreversible physical, psychological, and financial consequences.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".