Objective: This study examined the role of static indicators and proximal, clinically relevant indicators in the prediction of short-term community violence in a large, heterogeneous sample of adults with mental illnesses.
Methods: Data were pooled from five studies of adults with mental illnesses (N=4,484). Follow-up data were available for 2,579 participants. A hierarchical linear regression assessed the incremental validity of a series of variable clusters in the prediction of violence risk at six months: static characteristics (age, sex, race-ethnicity, and primary diagnosis), substance use (alcohol use and drug use at baseline), clinical functioning (psychiatric symptoms at baseline and recent hospitalization), recent violence, and recent victimization.
Results: Results demonstrated improved prediction with each step of the model, indicating that proximal indicators contributed to the prediction of short-term community violence above and beyond static characteristics. When all variables were entered, current alcohol use, recent violence, and recent victimization were positive predictors of subsequent violence, even after the analysis controlled for participant characteristics.
Conclusions: This study provides empirical evidence for three proximal, clinically relevant indicators in the assessment and management of short-term violence risk among adults with mental illnesses: current alcohol use, recent violence, and recent victimization. Consideration of these indicators in clinical practice may assist in the identification of adults with mental illnesses who are at heightened risk of short-term community violence.
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http://dx.doi.org/10.1176/appi.ps.201500259 | DOI Listing |
Hum Vaccin Immunother
December 2025
School of Public Health, Peking University, Beijing, China.
The attitudes of reproductive-age individuals toward COVID-19 vaccination during pregnancy are still not well understood. We aimed to explore the attitudes toward COVID-19 vaccines during pregnancy and the determinants among the Chinese reproductive-age population. An anonymous cross-sectional study was conducted in China from July 4 to August 11, 2023.
View Article and Find Full Text PDFDiabet Med
January 2025
Department of Psychology, University of Southern Denmark, Odense, Denmark.
Womens Health (Lond)
January 2025
College of Nursing, University of Utah, Salt Lake City, UT, USA.
Background: Postpartum is a critical period to interrupt weight gain across the lifespan, decrease weight-related risk in future pregnancies, promote healthy behaviors that are often adopted during pregnancy, and improve long-term health. Because the postpartum period is marked by unique challenges to a person's ability to prioritize healthy behaviors, a multi-level/domain approach to intervention beyond the individual-level factors of diet and activity is needed.
Objectives: The purpose of this study was to understand postpartum people's perceptions about the relationship between their social networks and support, and their health behaviors and weight.
Nurs Health Sci
March 2025
Faculty of Nursing, Nursing Department, Ataturk University, Erzurum, Turkey.
The widespread adoption of artificial intelligence (AI) tools in academic settings has the potential to revolutionize learning experiences, enhance educational outcomes, and streamline academic processes. The aim of this research was to explore the perceptions of Lebanese health sciences students regarding the use of generative AI in higher education. A qualitative descriptive research design informed by descriptive phenomenology was employed.
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