Frailty and Its Correlates in Cognitively Intact Community-Dwelling Older Adults
Bibliographic record
Abstract
BACKGROUND: Frailty syndrome is characterized by a decline in physiological and psychological reserve and may be associated with poor health outcomes. OBJECTIVES: The current study explored frailty and its correlates among cognitively intact community-dwelling older adults. METHODS: A secondary analysis of data collected from 109 community-dwelling older adults who are cognitively intact was conducted for the purpose of this study. The Arabic versions of the culturally adapted Tilburg Frailty Indicator, the Montreal Cognitive Assessment, the Geriatric Depression Scale, and the Short Form-36 Quality of Life (QOL) survey. Multiple linear regression was used to examine the relationships between frailty and depression. RESULTS: The results indicated a high prevalence of frailty (78%) and depression (38%) among cognitively intact community-dwelling older adults. Frailty was found to be associated with increased age, being single or illiterate, living alone, having a high number of comorbid conditions, having high rate of depression, and having poor QOL. CONCLUSION: High prevalence of frailty is associated with high depression scores, a high number of comorbid conditions, and poor QOL among cognitively intact community-dwelling older adults.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".