Relationship between Social Well-Being and Health Related Quality of Life Level among Senior Retirees of Tehran University of Medical Sciences
Bibliographic record
Abstract
Introduction: Senior citizens or the elderly people are a group of people in the society considered as a growing population with special needs in the developed contemporary world. Since they have special needs, it is essential to care about the quality of their life because of the dangers which threaten them. Since the social health of the retirees is decreased as a result of exiting from the workplace and directly affecting their life quality, the researcher has done the present study. Methodology: This paper which is a descriptive- analytic study has been periodically done in the second half of 2013. The participants were 227 senior retirees of Tehran University of Medical Sciences. The data have been collected through a reliable and valid questionnaire of life quality related to health (sf-36) and social well-being of KEYES. The data then were analyzed using SPSS.19 and descriptive statistics and paired t-test, one way ANOVA test and Pearson correlation were use as well. Findings: There is a significant linear relation between life quality variable related to the health and social well-being components (P<0.05). There is also a significant correlation between the variables like age, sex, marital status, duration of employment and life quality. Results: Regarding the findings of the study, it seems that the policy makers and planners need to create a kind of active integration and balance in society according to the available devices and facilities, and try to apply a proper information system to eliminate the cultural problems, reinforce the social relations and coherences in order to increase the life quality of senior retires.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".