Age at Immigration to Canada and the Occurrence of Mood, Anxiety, and Substance Use Disorders
Bibliographic record
Abstract
OBJECTIVE: The process of migration and resettlement has been associated with increased risk for psychiatric illness. Our study sought to examine the association between age at immigration and risk for mood, anxiety, and substance use disorders (SUDs) among adult immigrants in Canada. METHOD: Data from the Canadian Community Health Survey: Mental Health and Well-Being, a cross-sectional study of psychiatric disorder conducted in 2002, was used to identify a representative sample of adult immigrants in Canada (n = 4946). Logistic regression was used to examine the association between age at immigration (0 to 5 years, 6 to 17 years, and 18 years and older) and 12-month prevalence of mood and anxiety disorders, and SUDs. RESULTS: Immigrants who arrived prior to age 6 years reported the highest risk for mood (OR 3.41; 95% CI 1.7 to 7.0) and anxiety disorders (OR 6.89; 95% CI 3.5 to 13.5), compared with those who immigrated at the age of 18 years or older, after adjusting for covariates, including duration of residence. CONCLUSIONS: Younger age at immigration was associated with increased risk of having a current mood disorder, anxiety disorder, or SUD. These findings speak to the importance of developing and evaluating targeted prevention programs for young immigrant children and adolescents.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".