Attributing illness to ‘old age:’ Consequences of a self-directed stereotype for health and mortality
Bibliographic record
Abstract
Stereotypic beliefs about older adults and the aging process have led to endorsement of the myth that 'to be old is to be ill.' This study examined community-dwelling older adults' (N = 105, age 80+) beliefs about the causes of their chronic illness (ie, heart disease, cancer, diabetes, etc.), and tested the hypothesis that attributing the onset of illness to 'old age' is associated with negative health outcomes. A series of multiple regressions (controlling for chronological age, gender, income, severity of chronic conditions, functional status and health locus of control) demonstrated that 'old age' attributions were associated with more frequent perceived health symptoms, poorer health maintenance behaviours and a greater likelihood of mortality at 2-year follow-up. The probability of death was more than double among participants who strongly endorsed the 'old age' attribution as compared to those who did not (36% vs. 14%). Findings are framed in the context of self-directed stereotypes and implications for potential interventions are considered.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".