A qualitative study of Filipina immigrants’ stress, distress and coping: the impact of their multiple, transnational roles as women
Bibliographic record
Abstract
BACKGROUND: Migration is associated with a number of stress factors which can affect mental health. Ethnicity, gender and socioeconomic status can intertwine with and influence the process of migration and mental health. Philippine migration to Europe has increased in recent years and has become more feminised. Knowing more about the factors that influence immigrants' mental health and coping can help aid health care delivery and policy planning. The purpose of this qualitative study was to explore the contextual factors that influence the mental health of Filipinas living in Norway and their coping strategies. METHOD: Individual in-depth interviews were conducted with fourteen Filipinas 24-49 years, living in Norway. The analysis was informed by the post-colonial feminist perspective in order to examine the process by which gender, ethnicity and socioeconomic status interact with contextual factors in these women's lives and influence their wellbeing. RESULTS: Data analysis revealed that all informants experienced some level of stress or distress. Two main factors: Sense of belonging and Securing a future contributed to the women's level of distress associated with living abroad as an immigrant woman. Distress was heighted by the women's multiple, transnational roles they occupied; roles as workers, breadwinners, daughters, wives and mothers. None of the women had sought professional help for their distress. Religion and informal support from friends and family appear to help these women cope with many of the challenges they face as immigrant women living and working abroad. CONCLUSIONS: Filipinas face a number of challenges related to their status as immigrant women and the juggling of their transnational lives. Understanding the context of these women's lives may aid the identification of mental health problems. Although the women show resilience and appear to cope successfully, some may benefit from professional help.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".