Implementing school-wide sexual assault prevention in middle schools: A qualitative analysis of school stakeholder perspectives.

Sexual assault and harassment are significant problems that begin early in the lifespan. The current study sought to understand the contextual factors that influence the implementation of school-wide sexual assault prevention programs in middle schools that focus on fostering community norms change. The Consolidated Framework for Implementation Research (CFIR) is a menu of constructs arranged across 5 domains that assists stakeholders in assessing and identifying site-specific determinants of successful intervention implementation. In the present study, researchers conducted a series of 10 interviews with middle school stakeholders (i.e., principals, guidance counselors, teachers) to document characteristics inside and outside of the school environment (i.e., cultural norms, relative priority, prior interventions, implementation climate) relevant to the implementation of prevention programming, using the CFIR as a guiding framework for analysis. Whereas schools recognized the importance of implementing violence prevention programming, stakeholders reported several other competing demands (i.e., time, resources) that make it difficult to implement rigorous programming without support from an outside agency/team. Community agencies and research teams hoping to implement violence prevention in middle schools can benefit from using stakeholder interviews grounded in the CFIR model to gain a better awareness of the school- and community-specific factors that are likely to influence successful implementation of violence prevention programs in middle schools.

Alcohol-involved sexual assault in the US military: a scoping review.

Background: Sexual assault and alcohol use are significant public health concerns, including for the United States (US) military. Although alcohol is a risk factor for military sexual assault (MSA), research on the extent of alcohol-involvement in MSAs has not been synthesised.Objective: Accordingly, this scoping review is a preliminary step in evaluating the existing literature on alcohol-involved MSAs among US service members and veterans, with the goals of quantifying the prevalence of alcohol-involved MSA, examining differences in victim versus perpetrator alcohol consumption, and identifying additional knowledge gaps.Method: In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for Scoping Reviews, articles in this review were written in English, published in 1996 or later, reported statistics regarding alcohol-involved MSA, and included samples of US service members or veterans who experienced MSA during military service.Results: A total of 34 of 2436 articles identified met inclusion criteria. Studies often measured alcohol and drug use together. Rates of reported MSAs that involved the use of alcohol or alcohol/drugs ranged from 14% to 66.1% (M = 36.94%; Mdn = 37%) among servicemen and from 0% to 83% (M = 40.27%; Mdn = 41%) among servicewomen. Alcohol use was frequently reported in MSAs, and there is a dearth of information on critical event-level characteristics of alcohol-involved MSA. Additionally, studies used different definitions and measures of MSA and alcohol use, complicating comparisons across studies.Conclusion: The lack of event-level data, and inconsistencies in definitions, measures, and sexual assault timeframes across articles demonstrates that future research and data collection efforts require more event-level detail and consistent methodology to better understand the intersection of alcohol and MSA, which will ultimately inform MSA prevention and intervention efforts.

A total of 34 of 2436 articles identified met inclusion criteria. Studies often measured alcohol and drug use together. Rates of reported military sexual assaults that involved the use of alcohol or alcohol/drugs ranged from 14% to 66.1% (M = 36.94%; Mdn = 37%) among servicemen and from 0% to 83% (M = 40.27%; Mdn = 41%) among servicewomen.More precise prevalence estimates of the intersection between alcohol and military sexual assault were limited due to inconsistencies in the definitions of sexual assault and alcohol use, measures of sexual assault and alcohol use, and timeframe for reporting across studies.Future research should standardise the measures, definitions, and timeframes of sexual assault and alcohol-involvement to allow for a more precise estimation of alcohol-involved military sexual assault. Furthermore, event-level data is needed including amount and timeframe of alcohol consumption, relationship between victim and perpetrator, location of alcohol consumption and military sexual assault, and whether the assault was opportunistic or facilitated, to inform military sexual assault prevention and intervention efforts in the military.

Unsupervised clustering of autonomic temporal networks in clinically distressed and psychologically healthy individuals.

The present study recruited psychologically healthy individuals and individuals with clinically-severe Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition diagnoses, including generalized anxiety disorder, major depressive disorder, social anxiety disorder, posttraumatic stress disorder, panic disorder, persistent depressive disorder, and specific phobia. During the course of a structured clinical interview, 200 individuals provided continuous electrocardiogram and impedance cardiography data. Of these N = 150 were used for exploratory analyses and N = 50 for confirmatory analyses. From these time series, we modeled heart period (i.e. interbeat interval), pre-ejection period, respiratory sinus arrhythmia, and respiration rate. The group iterative multiple model estimation (GIMME) model was used to generate group and individual-level network models which, in turn, were used to conduct unsupervised classification of individual-level models into subgroups. Four subgroups were identified, comprising N = 22, N = 25, N = 26, and N = 61 individuals, with an additional 16 individuals left unclassified. The subgroup models were then used to estimate directed network models, from which out-degree and in-degree centrality were estimated for each group. Two groups, Group 2 and Group 4 exhibited elevated symptoms of depression and anxiety relative to the remaining sample. However, only one of these, Group 2, exhibited additional physiological risk features, including a significantly elevated average heart rate, and significantly reduced parasympathetic regulation (measured via respiratory sinus arrhythmia). We discuss the implications for utilizing network models for conducting systems-level analyses of physiological systems in clinically-distressed and psychologically healthy individuals.