Effect of age, education and health status on community dwelling older men’s health concerns
Bibliographic record
Abstract
INTRODUCTION: A significant gap in evidence characterizes the process of establishing patient-centered health priorities for older men. METHODS: A cross-sectional postal survey of 2325 Canadian community dwelling men aged 55-97 years old was conducted in 2008 to gauge older men's level of concern for 24 different health items, to determine the impact of age, education and health status on these perceptions, and to ascertain whether men perceive that their health concerns are being attended to. RESULTS: Health issues of greatest concern to men were mobility impairment (64% of respondents), memory loss (64%), and medication side effects (63%). Respondents with lower educational attainment expressed greater concern about their health and were almost 2-fold times more likely to report being concerned about stroke, heart disease and prostate disorders in analyses that controlled for age and health status. Physical and mental health were independently associated with various concerns about health, but old age was not a reliable predictor, with only younger men (<75 years old) differentially preoccupied by conditions such as erectile dysfunction. Health items of greatest concern to men tended to be those with the lowest screening or counseling rates: these included incontinence, osteoporosis, mobility impairment, falls, anxiety issues, memory loss and depression. CONCLUSION: An improved consumer-guided agenda for addressing older men's health in the coming decade is urgently required.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".