Prevalence and Correlates of Depressive Symptoms in Older Taiwanese Immigrants in Canada
Bibliographic record
Abstract
BACKGROUND: There is a lack of research regarding depression in older Taiwanese immigrants in North American countries. This study in Canada therefore examined the prevalence of depressive symptoms among older immigrants from Taiwan, and psychosocial factors as predictors of depressive symptoms reported by older Taiwanese immigrants. METHODS: Ninety-eight migrants (aged > or = 55 years) from Taiwan to Canada, who were part of a multi-site study of health and well-being in a total of 2,272 older ethnic Chinese individuals in community dwellings, completed a face-to-face interview and answered questions in an orally administrated questionnaire. Depressive symptoms were measured by a Chinese version of the Geriatric Depression Scale. RESULTS: Of the 98 migrants from Taiwan, 21.5% reported at least a mild level of depression. Predictive factors for depressive symptoms were a negative attitude towards aging, poor general physical health, single marital status, barriers in terms of gaining access to health care services, poor financial status, lower level of identification with Chinese health beliefs, and low income. CONCLUSION: The prevalence of depressive symptoms in older Taiwanese immigrants in Canada was higher than that reported by older adults in the general Canadian population. Thus, implications for the delivery of health care services, and possible strategies to enhance the mental well-being of older Taiwanese immigrants, are discussed.
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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 | 0.003 |
| 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 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".