Court-mandated domestic violence (DV) treatment programs across the country have seen a marked increase in female clients. These programs use a variety of measurement tools to assess the needs of their clients. Increased numbers of women in treatment for DV reflect a need to address the measurement of intimate partner violence (IPV) for both males and females. Unfortunately, the reliability and validity of many of measures used to assess IPV and related constructs for women remains unknown. The current study focuses on a particular measure, the Propensity for Abusiveness Scale (PAS). The PAS is not a measure of abusive behavior per se; rather, it assesses risk factors for abuse, including affective lability, anger expression, trauma symptoms, and harsh parenting experienced by the respondent. Specifically, the current study compares the factor structure and the measurement properties of the PAS for males and females in a sample of 885 (647 female, 238 male) participants in a DV treatment program. Findings indicate that the PAS demonstrated configural, metric, and scalar invariance between the female and male samples. These results suggest that it is appropriate for researchers and clinicians to make comparisons between women and men based on PAS factor scores.
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http://dx.doi.org/10.1177/0886260514552450 | DOI Listing |
Child Abuse Negl
January 2025
School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Israel.
Background: Educational gaps between care leavers and their same-age peers not in care are well documented. However, little is known about gender disparities in educational outcomes between care leavers and their matched peers.
Objectives: To examine and predict secondary school educational attainments (EA) and enrollment in postsecondary education (PSE) by (1) study group: care leavers versus their matched peers, (2) gender: men versus women, (3) interaction between study group and gender.
Curr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Front Cell Infect Microbiol
January 2025
Department of Neurology, First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Purpose: To investigate the clinical features and risk factors of the human immunodeficiency virus (HIV)-infected patients with intracerebral hemorrhage (ICH).
Patients And Methods: The patients with HIV-infected without ICH group were matched to the group of HIV-infected ICH patients. Logistic regression analysis using 1:1 propensity score matching (PSM) was performed to investigate the independent risk factors for ICH in HIV-infected patients.
Support Care Cancer
January 2025
Department of Anesthesiology, School of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama-Shi, 641-8509, Japan.
Purpose: Opioid-induced constipation (OIC) is problematic for patients with cancer receiving opioid therapy. Some guidelines recommend initiating regular laxatives at the same time as opioid analgesics. However, the effectiveness of prophylactic laxatives on OIC has not been widely demonstrated.
View Article and Find Full Text PDFAlcohol Alcohol
January 2025
Subdivision of Gastroenterology and Hepatology, 5th Department of Internal Medicine, Comenius University Faculty of Medicine, University Hospital Bratislava, Ružinovská 6, 826 06, Bratislava, Slovakia.
Background And Aims: Alcohol-associated hepatitis (AH) frequently triggers acute decompensation (AD) in cirrhosis, with severe AH linked to high short-term mortality, especially in acute-on-chronic liver failure. Current corticosteroid treatments have limited efficacy, highlighting the need for new therapies. We hypothesized that severe AH outcomes are influenced by early specialized care; thus, we examined the impact of time-to-tertiary care (TTTc).
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