Correlates of victimisation amongst people with psychosis

Background While much attention has been given to the prediction of violent offending behaviour amongst people with psychotic disorders, less attention has been given to the fact that these same individuals are often the victims of violence. In this paper, we examine victimisation amongst participants in a prevalence study of psychosis, and describe demographic and clinical correlates of victimisation. Method The study was based on the Australian National Survey of Mental Health and Wellbeing - Low Prevalence (Psychotic) Disorders. The participants were asked if they had been a victim of violence in the previous year. The association between selected demographic and clinical variables and being a victim of violence was examined using logistic regression. Results Of the 962 individuals with psychosis, 172 reported being a victim of violence in the past 12 months (17.9 %). The odds of being a victim were increased in those who: (a) were female, (b) were homeless, (c) had a lifetime history of substance abuse, (d) had been arrested in the previous 12 months, (e) had poorer social and occupational function, and (f) had higher scores on the disorganisation summary score. Conclusions Clinicians should remain mindful that one out of every six individuals with a psychotic disorder reports being a victim of violence in the previous year. Models of care that address issues related to symptom relief, accommodation, and exposure to high-crime areas may reduce the rates of victimisation amongst those with psychotic disorders.

Fear of crime in Brisbane - Individual, social and neighbourhood factors in perspective

Numerous theories apply to fear of crime and each are associated with different kinds of variables. Most studies use only one theory, though this study examines the relative importance of different kinds of variables across a number of theories. The study uses data from a survey of residents in Brisbane, Australia to examine the relative importance of individual attributes, neighbourhood disorder, social processes and neighbourhood structure in predicting fear of crime. Individual attributes and neighbourhood disorder were found to be important predictors of fear of crime, while social processes and neighbourhood structure were found to be far less important. The theoretical implications are that the vulnerability hypothesis and the incivilities thesis are most appropriate for investigating fear of crime, though social disorganization theory does provide conceptual support for the incivilities thesis. Although social processes are less important in predicting fear of crime than neighbourhood incivilities, they are still integrally related to fear of crime: they explain how incivilities arise, they buffer against fear of crime, and they are affected by fear of crime.

Self-reported risk perception, mood and risk behaviour across the human menstrual cycle

Normally ovulating women exhibit a decline in risk behaviours that may lead to sexual assault during the fertile phase of the menstrual cycle, whereas women using the Pill do not. The current study tests two explanatory models: the mood and fertility models. Self-reported risk and non-risk behaviours, mood, and risk perception in sexual assault and physical risk domains were assessed by testing fiftyone women at menstruation and during their fertile period. Based on the decline in risk behaviours shown in past research, the fertility model predicts that normally ovulating women will display greater risk perception during the fertile phase of their cycle. The mood model predicts that at menstruation, when negative mood is highest, risk perception will be increased and risk behaviours correspondingly reduced. Risk behaviours did not vary over the cycle or between groups. Overall, results support the mood model. Negative mood was greater at menstruation and positive mood during the fertile period for both groups, rational risk perception was correspondingly greater at menstruation. The fertility model was not supported as risk perception ratings did not vary in the expected direction and ratings were not specific to the sexual assault domain.