Mediation analysis is a methodology used to understand how and why behavioral phenomena occur. New mediation methods based on the potential outcomes framework are a seminal advancement for mediation analysis because they focus on the causal basis of mediation. Despite the importance of the potential outcomes framework in other fields, the methods are not well known in prevention and other disciplines. The interaction of a treatment (X) and a mediator (M) on an outcome variable (Y) is central to the potential outcomes framework for causal mediation analysis and provides a way to link traditional and modern causal mediation methods. As described in the paper, for a continuous mediator and outcome, if the XM interaction is zero, then potential outcomes estimators of the mediated effect are equal to the traditional model estimators. If the XM interaction is nonzero, the potential outcomes estimators correspond to simple direct and simple mediated contrasts for the treatment and the control groups in traditional mediation analysis. Links between traditional and causal mediation estimators clarify the meaning of potential outcomes framework mediation quantities. A simulation study demonstrates that testing for a XM interaction that is zero in the population can reduce power to detect mediated effects, and ignoring a nonzero XM interaction in the population can also reduce power to detect mediated effects in some situations. We recommend that prevention scientists incorporate evaluation of the XM interaction in their research.

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The involvement of anger in the psychological adjustment of current war veterans, particularly in conjunction with combat-related posttraumatic stress disorder (PTSD), warrants greater research focus than it has received. The present study concerns a brief anger measure, Dimensions of Anger Reactions (DAR), intended for use in large sample studies and as a screening tool. The concurrent validity, discriminant validity, and incremental validity of the instrument were examined in conjunction with behavioral health data for 3,528 treatment-seeking soldiers who had been in combat in Iraq and Afghanistan. Criterion indices included multiple self-rated measures of psychological distress (including PTSD, depression, and anxiety), functional difficulties (relationships, daily activities, work problems, and substance use), and violence risk. Concurrent validity was established by strong correlations with single anger items on 4 other scales, and discriminant validity was found against anxiety and depression measures. Pertinent to the construct of anger, the DAR was significantly associated with psychosocial functional difficulties and with several indices of harm to self and to others. Hierarchical regression performed on a self/others harm index found incremental validity for the DAR, controlling for age, education, military component, officer rank, combat exposure, PTSD, and depression. The ability to efficiently assess anger in at-risk military populations can provide an indicator of many undesirable behavioral health outcomes.

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Self-regulation is a broad construct representing the general ability to recruit cognitive, motivational and emotional resources to achieve long-term goals. This construct has been implicated in a host of health-risk behaviors, and is a promising target for fostering beneficial behavior change. Despite its clear importance, the behavioral, psychological and neural components of self-regulation remain poorly understood, which contributes to theoretical inconsistencies and hinders maximally effective intervention development. We outline a research program that seeks to define a neuropsychological ontology of self-regulation, articulating the cognitive components that compose self-regulation, their relationships, and their associated measurements. The ontology will be informed by two large-scale approaches to assessing individual differences: first purely behaviorally using data collected via Amazon's Mechanical Turk, then coupled with neuroimaging data collected from a separate population. To validate the ontology and demonstrate its utility, we will then use it to contextualize health risk behaviors in two exemplar behavioral groups: overweight/obese adults who binge eat and smokers. After identifying ontological targets that precipitate maladaptive behavior, we will craft interventions that engage these targets. If successful, this work will provide a structured, holistic account of self-regulation in the form of an explicit ontology, which will better clarify the pattern of deficits related to maladaptive health behavior, and provide direction for more effective behavior change interventions.

Background Prior investigations have found negative associations between military unit cohesion and posttraumatic stress disorder (PTSD); however, most relied on cross‐sectional data and few examined relationships of unit cohesion to other mental disorders. This study evaluates prospective associations of perceived unit cohesion with a range of mental health outcomes following combat deployment. Methods U.S. Army soldiers were surveyed approximately 1–2 months before deployment to Afghanistan (T0); and 1 month (T1), 3 months (T2), and 9 months (T3) after return from deployment. Logistic regression was performed to estimate associations of perceived unit cohesion at T0 with risk of PTSD, major depressive episode (MDE), generalized anxiety disorder (GAD), alcohol or substance use disorder (AUD/SUD), and suicidal ideation at T2 or T3 among soldiers who completed all study assessments (N = 4,645). Models were adjusted for sociodemographic and Army service characteristics, predeployment history of the index outcome, and deployment stress exposure. Results Higher perceived unit cohesion at T0 was associated with lower risk of PTSD, MDE, GAD, AUD/SUD, and suicidal ideation at T2 or T3 (AORs = 0.72 to 0.85 per standard score increase in unit cohesion; P‐values < 0.05). Models of incidence of mental disorders and suicidal ideation among soldiers without these problems predeployment yielded similar results, except that perceived unit cohesion was not associated with incident AUD/SUD. Conclusions Soldiers who reported strong unit cohesion before deployment had lower risk of postdeployment mental disorders and suicidal ideation. Awareness of associations of perceived unit cohesion with postdeployment mental health may facilitate targeting of prevention programs.

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Anger is becoming more widely recognized for its involvement in the psychological adjustment problems of current war veterans. Recent research with combat veterans has found anger to be related to psychological distress, psychosocial functioning, and harm risk variables. Using behavioral health data for 2,077 treatment-seeking soldiers who had been deployed to Iraq and Afghanistan, this study examined whether anger disposition was intensified for those who met screen-threshold criteria for posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). Anger was assessed with a 7-item screening measure previously validated with the study population. The study tested the hypothesis that anger would be highest when "PTSD & MDD" were conjoined, compared with "PTSD only," "MDD only," and "no PTSD, no MDD." PTSD and depression were assessed with well-established screening instruments. A self-rated "wanting to harm others" variable was also incorporated. Age, gender, race, military component, military grade, and military unit social support served as covariates. Hierarchical multiple regression was used to test the hypothesis, which was confirmed. Anger was intensified in the PTSD & MDD condition, in which it was significantly higher than in the other 3 conditions. Convergent support was obtained for "wanting to harm others" as an exploratory index. Given the high prevalence and co-occurrence of PTSD and MDD among veterans, the results have research and clinical practice relevance for systematic inclusion of anger assessment postdeployment from risk-assessment and screening standpoints.