THE ASSOCIATION BETWEEN SELF-RATED HEALTH AND KEY INDICATORS OF HEALTH IN AN OLDER POPULATION: ANALYSIS OF THE CANADIAN LONGITUDINAL STUDY ON AGING
Bibliographic record
Abstract
Self-sated health (SRH) is a global indicator of health which reflects a person’s integrated perception of their own health. To obtain an in depth understanding of SRH, this study examined the association between SRH and key indicators of health in particular measures of physical health, psycho-social, health behaviours and clinical health measure. This population-based sample was comprised of 51,338 men and women aged 45-85 years from the Canadian Longitudinal Study on Aging (CLSA) and included both tracking and comprehensive cohorts. Ordinal logistic regression models assessed odds ratios and confidence intervals and estimated the association between SRH and key objective and subjective indicators of health. Fully adjusted model revealed that SRH has statistically significant association with numerous health measures in particular measures of physical, cognition, depression and clinical health measures. SRH has the ability not only to reflect physical, psycho-social and health behaviours but also it accounts for clinical health measures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".