17 research outputs found
Forest plot of all 35 selected studies: prevalence of violence estimates (boxes) with 95% confidence limit (bars); pooled prevalence is reported as diamond.
<p>Forest plot of all 35 selected studies: prevalence of violence estimates (boxes) with 95% confidence limit (bars); pooled prevalence is reported as diamond.</p
Summary information of the studies included in meta-analysis.
<p><sup>c</sup>Information was obtained from the author.</p><p>Summary information of the studies included in meta-analysis.</p
Additional information of the studies included in meta-analysis.
<p>Additional information of the studies included in meta-analysis.</p
Comparing forensic and non-forensic women with schizophrenia spectrum disorders: a European study
Studies about violence by women with severe mental disorders are rare. The aim of this paper is to analyse the sample of women diagnosed with Schizophrenia Spectrum Disorders (SSD) from the EU-VIORMED study who had offended violently and were admitted to forensic facilities (cases), and compare them to women with SSD who never exhibited violent behaviour (controls). Cases and controls matched for age and diagnosis were compared for sociodemographic, clinical, neuropsychological, and treatment-related characteristics using a standardised assessment. When compared to 36 controls, the 26 cases were significantly older, with longer duration of illness, had fewer years of education, were less likely to have children, and were more likely to have a comorbid personality disorder. Cases were less functionally impaired and scored lower on cognitive domains. There were no differences between the groups in exposure to childhood or adult violence, but a greater proportion of cases reported more frequently being witness to and victims of violence and more frequently reported being beaten, kicked, or punched. Results suggest that the emergence of violent behaviour in women with SSD might be shaped by various factors including violent victimisation, personality factors, soft cognitive impairment and perhaps as a result a more extended duration of illness.</p
The potentially traumatic events assessed in the World Mental Health Surveys.
<p>The potentially traumatic events assessed in the World Mental Health Surveys.</p
Characteristics of WMH samples and percent of respondents reporting lifetime traumatic events.
<p>Characteristics of WMH samples and percent of respondents reporting lifetime traumatic events.</p
AOO of Drug Use among Those Reporting Any Use by Country
<p>Note: Where lines are not presented for an individual country, either there was no assessment of the AOO of that drug, or fewer than 30 persons reported having used the drug (see <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050141#pmed-0050141-t002" target="_blank">Tables 2</a> and <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050141#pmed-0050141-t005" target="_blank">5</a>).</p
Direct and indirect effects (via WHODAS dimensions) of common chronic conditions on perceived health VAS, overall sample.
<p>WMH Surveys.</p
Distribution of the WHODAS dimension scores by income level. The WMH Surveys.
<p>Distribution of the WHODAS dimension scores by income level. The WMH Surveys.</p
Relative WHODAS dimension contributions to the indirect effect of disability on perceived health VAS for each condition, overall sample.
<p>WMH Surveys (Alcohol Abuse and Drug Abuse are not represented because their respective overall indirect effect is not significant).</p