The Social Determinants of Depression in Elderly Korean Immigrants in Canada: Does Acculturation Matter?
Why this work is in the frame
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Bibliographic record
Abstract
Depression in old age significantly decreases the quality of life and may lead to serious consequences, such as suicide. Existing literature indicates that elderly Korean immigrants may experience higher levels of depression than other racial ethnic group elders. The purpose of this exploratory study was to investigate factors that influence depression among older Korean immigrants in Toronto. A total of 148 participants, ages 60 years or older (mean age = 74.01, SD = 8.24), completed face-to-face interviews in Korean language. Hierarchical regression analyses were conducted by adding variables in three steps: (1) demographic variables; (2) acculturation variables (years of immigration and English proficiency); and (3) social determinants (social integration variables, physical health, and financial satisfaction). Results showed that acculturation factors were not associated with depression. Instead, social determinants variables, including lower physical health status and lower financial status, living alone, and lower level of social activity, predicted higher level of depressive symptoms, along with lower education. The final regression model explained about 37% of variance of depression in the sample. These results suggest that social determinants, not acculturation, are important factors explaining the levels of depression in Korean immigrant elders living in a metropolitan city in Canada. Implications for practice are discussed.
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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 | 0.000 | 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) | 0.000 | 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 it