Depression and Its Psychosocial Correlates Among Older Asian Immigrants in North America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This article critically reviews two decades of empirically based depression studies on older Asian immigrants (OAIs) in North America published in English. The Psychosocial Model of Late-Life Depression is proposed as the conceptual roadmap to help interpret the findings across studies. METHODS: Using multiple bibliographic databases, this review systematically summarized and evaluated findings in 24 studies in terms of: (a) the prevalence and severity of depression; (b) demographic, psychosocial, cultural, and health risk factors of depression; and (c) methodological approaches and designs. RESULTS: The results showed that depression is prevalent among OAIs and is linked to gender, recency of immigration, English proficiency, acculturation, service barriers, health status, relationship with children and family, and social support. However, considerable variability in the results, the sample sizes, and the use of measurements were also found across studies. DISCUSSION: Recommendations for future research and the provision of clinical and community services are discussed within the psychosocial model.
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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 | 0.000 | 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