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This paper examines links between violent behavior, type and severity of psychopathology, substance abuse comorbidity, and community mental health treatment, using matched data from two surveys: the National Institute of Mental Health Epidemiologic Catchment Area project and the Triangle Mental Health Survey (a North Carolina study of adults with severe and persistent mental illness). Multivariate logistic regression analysis was used to model the risk of violent acts attributable to three domains of independent variables: sociodemographic characteristics, clinical diagnoses and symptomatology, and mental health services utilization. Findings include: (1) Symptom severity was significantly greater in the clinically-selected sample than in the community survey of respondents with comparable diagnoses who self-reported using mental health services; (2) Violence risk was related to psychoticism/agitation in a curvilinear form; (3) In a multivariable model, violence was significantly associated with substance abuse comorbidity, particular psychotic symptoms (perceived threat and loss of internal cognitive controls), and absence of recent contact with a community mental health provider; (4) The relationship between lack of treatment and higher odds of violence was less pronounced among respondents with substance abuse comorbidity; (5) When clinical and services-use variables were taken into account, sociodemographic predictors were not significantly related to violence.

Accounts of the nature, cause, and course of mental illness and self‐labeling are explored as interdependent domains with a cohort of individuals diagnosed as having major psychiatric disorders. Explanations and descriptions of mental illness and propensities to self‐label are shown to be interrelated in a multidirectional, multidimensional manner. Normalizing talk and illness accounts that are both patterned and diverse, and both stable and variable over time, pervade the discourse of individuals in the cohort. Sociocultural factors, particularly social race, gender, and type of illness explanation, have a stronger association with self‐labeling than clinical factors, such as formal diagnosis. The concepts of “illness‐identity work” and “illness‐identity talk” are developed as a means for exploring self and sickness among persons with chronic illnesses.

Risk Reconsidered: Targets of violence in the Social Networks of People with Serious Mental illness. This exploratory analysis addresses the questions: 1) Who among the members of the social network of a person diagnosed with a major psychiatric disorder is likely to become a target of violence? 2) What kind of relationships do targets have with respondents in terms of the quality and quantity of interactions?, and 3) What are the risk factors that contribute to being a target of violence for people who are in the social networks of persons with serious mental disorders? The samples of 169 people with serious mental disorders were followed for 30 months. A logistic regression model of the risk for being a target of violence among the members of the cohort's social network reveals that both target and respondent characteristics are salient, and that mothers who live with adult children who have schizophrenia and co-occurring substance abuse bear a substantially elevated risk of becoming a target of violence, compared to other social network members. Other factors that elevate the risk for being a target of violence are being an immediate family members of the respondent, more time in residence with the respondent, and whether the respondent is financially dependent on the family. Respondents with the most mental health center visits had lower odds of committing an act or threat of violence against a social network member.