Association of Perceived Health, Happiness, and Quality of Life With Morbid Thoughts and Suicide Ideation: Evidence From the Study on Global AGEing and Adult Health
Bibliographic record
Abstract
Background and aims: This study aimed to determine the prevalence of morbid thoughts and suicide attempts as well as their relationship with perceived health status, quality of life, and happiness in five low-middle-income countries. Methods: Data on 3373 men and women aged 40 years and above were collected from the World Health Organization’s (WHO’s) study on global AGEing and adult health (SAGE) survey on five countries: China (830), Ghana (438), India (1602), Russia (175), and South Africa (830). Outcome variables were morbid thoughts and suicide attempts, and the main explanatory variables were health status, quality of life, and happiness. Results: The findings indicated that among the five countries, India had the highest prevalence of both morbid thoughts 79.5% (95% CI: 73.4-84.5) and suicide attempts 75.4% (95% CI: 61.0-85.7), while Ghana had the lowest prevalence of both morbid thoughts 1.9% (95% CI: 1.3-2.7) and suicide attempts 2.5% (95% CI: 1.1-5.5). Furthermore, regression analysis revealed a significant association between perceived health, quality of life, and happiness with morbid thoughts and suicide attempts. However, the association between perceived health and happiness was significant only among women. Men and women reporting dissatisfaction with the quality of life had 1.521 times (95% CI: 1.126-2.056) and 1.762 times (95% CI: 1.406-2.209) higher odds of morbid thoughts compared with those who reported satisfaction with the quality of life. Conclusion: Perceived poor health, quality of life, and happiness are significantly associated with higher odds of morbid thoughts of suicidal ideation, especially among women. In line with the past findings, these findings support the importance of focusing on these perceived constructs of health and life for mental health promotion and suicide prevention programs.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".