Canada and Brazil. Health satisfaction older adults.
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to compare patterns of social factors explaining health satisfaction of older adults in selected regions of Canada and Brazil. DESIGN: The study was a secondary analysis of data from two descriptive exploratory studies of quality of life of older adults in Canada and Brazil. METHODS: A secondary analysis of two data sets was conducted. The data sets included responses from 202 older adults from Canada and 288 older adults from Brazil. The Canadian data were collected in a mail survey of randomly selected older adults conducted in early 2004 and the Brazilian data were collected in a household survey in the fall of 2004. In both countries, instruments used in data collection were the short version of the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) and a demographic data sheet. Multiple regression analyses were used to examine predictors of health satisfaction in each of the samples. The independent variables were: age, gender, perceptions of access to health services, transport, social support, personal relationships, capacity for work, opportunities for leisure activities and enough money to meet needs. All indicators (except for age and gender) were taken from the WHOQOL-BREF instrument and were measured by a single global item on a five point Likert scale. FINDINGS: In the Canadian data set, it was found that perceptions regarding capacity to work and opportunities for leisure activities were significant predictors of health satisfaction. In Brazil, the significant predictors were perceptions of capacity to work and enough money to meet needs. CONCLUSIONS: This study identifies some common social factors that explain health satisfaction, but many other variables thought to be important were not significant in these samples. Examination of social factors influencing health at the individual as well as societal level may help in planning interventions that enhance health and well-being of older adults.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".