Prevalence and Determinants of Frailty amongst the Elderly: A Study from a Tertiary Care Hospital in North India
Bibliographic record
Abstract
Abstract Background: The elderly population in India is rising rapidly, which merits the need to develop an understanding of the prevalence and determinants of frailty in this age group. Materials and Methods: This study was conducted at a tertiary care hospital in New Delhi, India. The participants were over 60 years of age. The authors used the Edmonton Frailty Scale to assess frailty and a semi-structured questionnaire to assess sociodemographic variables, morbidity and lifestyle factors. Results: The mean age of participants in the study was 66.7 years (standard deviation ± 5.52). The prevalence of any type of frailty was 34.7% (95% confidence interval [CI] 29.9%–39.6%). Amongst the frail, 11.9% were vulnerable to frailty, 11.7% were mildly frail, 8.1% were moderately frail and 3% were severely frail. Significant associations were found with age, chronic diseases and smokeless tobacco use. Conclusion: There is a substantial prevalence of frailty amongst the elderly, with critical links to age, chronic disease and lifestyle choices. These findings underscore the necessity of integrating frailty assessment into routine geriatric care and primary healthcare services.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".