Working conditions and mental health of migrants and refugees in Europe considering cultural origin– a systematic review
Bibliographic record
Abstract
BACKGROUND: Migrants and refugees/asylum seekers, as a large part of the European work force, are often confronted with unfavorable working conditions in the host country. Main aim of this systematic review was to compare the association of these working conditions with mental health between migrants and refugees/asylum seekers due to their diverse migration experiences and cultural origins, and between different European host countries. METHODS: Systematic search for eligible primary studies was conducted in three electronic databases (PubMed/MEDLINE, PsycINFO and CINAHL) using quantitative study designs written in English, German, French, Italian, Polish, Spanish or Turkish and published from January 1, 2016 to October 27, 2022. Primary health outcomes were diagnosed psychiatric and psychological disorders, suicide and suicide attempts, psychiatric and psychological symptoms, and perceived distress. Secondary health outcomes were more general concepts of mental health such as well-being, life satisfaction and quality of life. Two reviewers independently completed screening, data extraction and the methodological quality assessment of primary studies using the Newcastle-Ottawa-Scale. Descriptive summary of primary studies on working conditions and their relationship with mental health were conducted, comparing migrants and refugees/asylum seekers, migrants and refugees/asylum seekers of different cultural backgrounds (collectivistic and individualistic) and migrants and refugees/asylum seekers living in different host countries. RESULTS: Inclusion criteria were met by 19 primary studies. Voluntary migrants are more likely to experience overqualification in the host country than refugees. In all examined host countries, migrants and refugees suffer from unfavorable working conditions, with migrants from collectivistic countries being slightly at risk compared to migrants from individualistic countries. Most unfavorable working conditions are related to poor mental health, regardless of migrant status, cultural origin or host country. CONCLUSIONS: Although the results should be interpreted with caution due to the small number of studies, it is evident that to maintain both the mental health and labor force of migrants and refugees/asylum seekers, their working conditions in host countries should be controlled and improved. Special attention should be paid to specific subgroups such as migrants from collectivistic societies. ETHICS AND DISSEMINATION: This systematic review is excluded from ethical approval because it used previously approved published data from primary studies. TRIAL REGISTRATION NUMBER: CRD42021244840.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".