Self-harm in British South Asian women: psychosocial correlates and strategies for prevention
Open accessAbstract
Objective: To review the rates of self-harm in British South Asian women, look into the factors that contribute to these high rates of self-harm and discuss possible strategies for prevention and provision of culturally sensitive service for South Asian women who harm themselves. Method: Review. Results: South Asian women are significantly more likely to self harm between ages 16–24 years than white women. Across all age groups the rates of self harm are lower in South Asian men as compared to South Asian women. These women are generally younger, likely to be married and less likely to be unemployed or use alcohol or other drugs. They report more relationship problems within the family. South Asian women are less likely to attend the ER with repeat episode since they hold the view that mainstream services do not meet their needs. Conclusion: South Asian women are at an increased risk of self harm. Their demographic characteristics, precipitating factors and clinical management are different than whites. There is an urgent need for all those concerned with the mental health services for ethnic minorities to take positive action and eradicate the barriers that prevent British South Asians from seeking help. There is a need to move away from stereotypes and overgeneralisations and start from the user's frame of reference, taking into account family dynamics, belief systems and cultural constraints.
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Women of South Asian family origin in the UK have a high prevalence of depression and self-harm, often in the context of severe and persistent social difficulties, which only become apparent when they are in a crisis.
“Women of South Asian family origin in the UK have a high prevalence of depression and self-harm, often in the context of severe and persistent social difficulties, which only become apparent when they are in a crisis [17].”
From Development and evaluation of culturally sensitive psychosocial interventions for under-served people in primary care (2014) · cites this paper as [17]
The Introduction and the section on rates of deliberate self-harm report elevated self-harm risk among South Asian women in the UK. The prevention section says depressed South Asian women have a higher prevalence of depression than white women, and the precipitants section links self-harm to serious social difficulties. The paper describes self-harm as a last resort, but does not establish that those difficulties only become apparent when a woman is in crisis. (LLM, conf=0.84)
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- Authors
- Husain, M., Waheed, W., & Husain, N.
- Affiliations
- University of Manchester (GB)
- University of Toronto (CA)
- Corresponding author
- Husain, Nusrat
- Venue
- Annals of General Psychiatry
- Published
- 2006-05-22
- Volume
- 5
- Issue
- 1
- Pages
- 7-7
- ISSN
- 1744-859X (ISSN-L)
- OpenAlex
- W1504438957
- Cited by
- 70
- References
- 31
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 2 · 2021: 1 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 3 · 2014: 4 · 2013: 10 · 2012: 6
- FWCI
- 1.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Annals of General Psychiatry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- TSpace (University of Toronto) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- self-harm, British South Asian women, ethnic minority mental health, psychosocial risk factors, self-harm prevention, culturally sensitive mental health services, help-seeking barriers, family dynamics, relationship problems, young women, cultural beliefs
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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