Self-Rated Frailty and Mortality in Old Men: The Manitoba Follow-Up Study
Bibliographic record
Abstract
BACKGROUND: While a multitude of definitions and operationalizations of frailty have been developed, rarely have these considered the perspective of the older adult themselves. This knowledge gap was addressed by examining older adults' self-rating of frailty. OBJECTIVES: To assess the validity of self-rated frailty and to determine whether self-rated frailty relates to mortality. DESIGN: The Manitoba Follow-up Study was initiated in 1948 as a prospective cohort study of 3,983 men. SETTING: Community dwelling older adult men. PARTICIPANTS: Survivors of the original cohort (231 men) were sent a quality of life survey in 2015. A response was received from 186 men, including 146 surveys completed by the participant himself and thus were eligible to include (completion rate of 78.4%). MEASUREMENTS: The quality of life survey is sent out annually to the study participants to ascertain information about mental, physical, and social functioning. In 2015, the Clinical Frailty Scale was adapted and added to the survey as a simple self-rating of frailty. RESULTS: The mean age of the 146 respondents in 2015 was 93.7 years (SD 2.7) Self-ratings of "moderate-severe" frailty, received from 132 men, were associated with worse measures of physical health and functional impairment, thus supporting the significance of self-rated frailty. Adjusted for age, the Hazard Ratio for mortality over the next 3 years was 3.3 (95% CI: 1.5, 7.1) for those who rated themselves as "mildly to severely frail" vs. "very fit or well, with no disease". CONCLUSION: The present study has illustrated that self-rated frailty is associated with other measures of health and that self-rated frailty predicts mortality over a three-year period. These findings support the utilization of older adult's self-ratings of frailty for new avenues of operationalizing frailty.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| 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".