Influencing Factors of Depression among Adolescent Asians in North America: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Asian American adolescents experience rates of depression comparable to or greater than those of other ethnic minorities. The purpose of this systematic review is to summarize psychosocial factors related to depressive symptoms of Asian American adolescents between the ages of 10 to 19. METHODS: Various electronic databases were systematically searched to identify research articles published from 2000 to 2021, and the psychosocial factors influencing depression among Asian adolescents in North America were examined. RESULTS: A total of 81 studies were included in this systematic review. Consistent findings on relationships between depressive symptoms and influencing factors included (a) acculturative stress, (b) religious or spiritual significance for females, (c) parent-child cohesion, (d) harsh parenting style, (e) responsive parenting style, (f) racial or ethnic discrimination, (g) being bullied, (h) positive mentor presence, and (i) exposure to community violence. Collectively, the majority of included studies suggest that depressive symptoms were more likely found among Asian American adolescents who (a) are older, (b) are female, (c) have immigrant status, (d) exhibit coping behaviours, (e) face academic challenges, (f) face a poor socioeconomic situation, (g) perceive parent-child conflict, (h) perceive maternal disconnectedness, and (i) perceive negative peer relations. A number of conflictive findings also existed. DISCUSSION/CONCLUSIONS: This systematic review provides a summary of the various psychosocial factors on individual, familial, and social levels, which influenced the depressive symptoms of Asian American adolescents. Such findings offer a starting point to examine what factors should be necessarily included in related depression-preventive intervention design and evaluation. Culturally sensitive care, strengthened family-school-community collaboration, and targeted research efforts are needed to meet the needs of Asian adolescents experiencing a range of depressive symptoms.
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".