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Psychosocial Characteristics and Social Networks of Suicidal Prisoners: Towards a Model of Suicidal Behaviour in Detention

Overview of attention for article published in PLOS ONE, July 2013
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Title
Psychosocial Characteristics and Social Networks of Suicidal Prisoners: Towards a Model of Suicidal Behaviour in Detention
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068944
Pubmed ID
Authors

Adrienne Rivlin, Keith Hawton, Lisa Marzano, Seena Fazel

Abstract

Prisoners are at increased risk of suicide. Investigation of both individual and environmental risk factors may assist in developing suicide prevention policies for prisoners and other high-risk populations. We conducted a matched case-control interview study with 60 male prisoners who had made near-lethal suicide attempts in prison (cases) and 60 male prisoners who had not (controls). We compared levels of depression, hopelessness, self-esteem, impulsivity, aggression, hostility, childhood abuse, life events (including events occurring in prison), social support, and social networks in univariate and multivariate models. A range of psychosocial factors was associated with near-lethal self-harm in prisoners. Compared with controls, cases reported higher levels of depression, hopelessness, impulsivity, and aggression, and lower levels of self-esteem and social support (all p values <0.001). Adverse life events and criminal history factors were also associated with near-lethal self-harm, especially having a prior prison spell and having been bullied in prison, both of which remained significant in multivariate analyses. The findings support a model of suicidal behaviour in prisoners that incorporates imported vulnerability factors, clinical factors, and prison experiences, and underscores their interaction. Strategies to reduce self-harm and suicide in prisoners should include attention to such factors.

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Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Australia 1 <1%
Portugal 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Estonia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 169 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 17%
Researcher 23 13%
Student > Bachelor 17 10%
Student > Ph. D. Student 13 7%
Student > Doctoral Student 11 6%
Other 37 21%
Unknown 46 26%
Readers by discipline Count As %
Psychology 58 33%
Medicine and Dentistry 20 11%
Social Sciences 16 9%
Nursing and Health Professions 10 6%
Business, Management and Accounting 3 2%
Other 14 8%
Unknown 57 32%