Physical, Psychological, Cognitive and Social Frailty Domains in Community-Dwelling Adults Aged 45–85: a Cross-sectional Analysis of the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
Background: Reported estimates of frailty prevalence vary considerably. At least partially attributable to differences in the conceptualization of frailty used, a better understanding of the inter-relationships among frailty domains could clarify contributors to the noted heterogeneity. Methods: A global frailty index (FI) created from baseline data on 30,097 Canadian Longitudinal Study on Aging comprehensive cohort participants was used to define physical, psychological, cognitive, and social domain-specific FIs. These were divided into quintiles with the highest 20% (Q5) representing the frailest participants. Logistic regression was used to estimate the associations between age group and biological sex with domain-specific FIs in unadjusted and adjusted (income, smoking status, nutritional risk, physical activity, social participation, interaction between sex and age group) models. The association between Q5 membership among the frailty domains was estimated using polychoric correlation coefficients. Results: <.001 for social. Polychoric correlations were highest between the psychological/physical and psychological/social domains, and decreased with increasing age for all combinations. Conclusion: We found that domain-specific frailty prevalences differed by age group and sex with low associations among frailty domains, particularly at older ages. Understanding the evolution of these findings could be instrumental in developing tailored interventions to prevent frailty or modify its trajectory.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".