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dc.contributor.authorRehman, Zaqia
dc.contributor.authorLopes, Barbara
dc.contributor.authorJaspal, Rusi
dc.identifier.citationRehman, Z., Lopes, B. and Jaspal, R. (2020) Predicting self-harm in an ethnically diverse sample of lesbian, gay and bisexual people in the United Kingdom. International Journal of Social Psychiatry, 66 (4), pp. 349–360en
dc.description.abstractBackground: Poor mental health is prevalent in lesbian, gay and bisexual (LGB) people due in part to social stigma. The social, psychological and clinical risk factors for self-harm among LGB people are unclear, which limits our ability to predict when and how this will occur and, crucially, how to prevent it. Aims: Drawing on the cognitive-behavioral approach in clinical psychology, this study identifies the predictors of self-harm in LGB people in the United Kingdom. Results: Women, lesbians, those with lower income and younger people were more likely to engage in self-harm. Self-harmers exhibited much more discrimination, LGB victimization and, thus, internalized homophobia and depressive symptomatology than non-self-harmers. The structural equation model showed direct effects of age and gender, and indirect effects of income and sexual orientation, on self-harm, through the mediating variables of discrimination, LGB victimization and internalized homophobia. Conclusions: Consistent with the cognitive-behavioral model, the results indicate that exposure to situational stressors can increase the risk of developing a self-hatred and depressive psychological self-schema, resulting in greater risk of self-harm as a maladaptive coping strategy. An integrative clinical intervention for enhancing psychological wellbeing in LGB people is proposed to mitigate the risk of self-harm in this populationen
dc.titlePredicting self-harm in an ethnically diverse sample of lesbian, gay and bisexual people in the United Kingdomen
dc.funderNo external funderen
dc.cclicenceCC BYen
dc.exception.reasonnot deposited within 3 months of publication dateen
dc.researchinstituteMary Seacole Research Centreen

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