Mental health help-seeking attitudes, utilization, and intentions among older Chinese immigrants in Canada
Bibliographic record
Abstract
OBJECTIVES: This study had three objectives. First, to determine the extent to which demographic factors, perceived social support, and Chinese cultural beliefs predict attitudes toward mental health help seeking; second, to assess mental health utilization; and third, to assess intentions to utilize mental health services among older Chinese immigrants in Canada aged 55 and above. METHOD: A total of 149 older Chinese adults (M = 73.92 years, SD = 9.99, range = 55-95 years) completed a semi-structured interview protocol in Cantonese or Mandarin. Demographic and health information were collected, and questionnaires assessing perceived social support, mental health help-seeking attitudes, and belief in Chinese culture and values were administered. RESULTS: Demographic and health information, perceived social support, Chinese cultural beliefs and values accounted for 21.8% of the variance in help-seeking attitudes. Descriptive data related to mental health utilization and intentions are provided. CONCLUSION: Older Chinese participants exhibited less positive attitudes that were significantly associated with Chinese cultural beliefs and values. Implications for practice with older Chinese adults are also discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".