Mental Health Among the Korean Older Population: How is it Related to Asset-based Welfare?
Bibliographic record
Abstract
Objective: This article aims to investigate how older adults’ income and housing tenure are concurrently associated with depression in Korea. Methods: Using the 2017 Survey of Living Conditions and Welfare Needs of Korean Older Persons, logistic regression was implemented to examine the association of housing tenure and income status with depression among 6,624 older adults. Also, the older adults’ satisfaction with their economic conditions was added to examine its mediation effects on this association. Results: Homeownership lowered the likelihood of depression, whereas lower income increased the likelihood of depression among older adults. Also, lack of income security was associated with depression even among older homeowners, being partially mediated through their satisfaction with economic conditions. Conclusion: This study contributes to articulating the mechanisms linking housing tenure, income insecurity, and mental health of the older population in Korea. Future studies are needed to investigate the social determinants of health among older adults.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".