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Psychosocial treatments targeting the positive valence system (PVS) in depression and anxiety demonstrate efficacy in enhancing positive affect (PA), but response to treatment varies. We examined whether individual differences in neural activation to positive and negative valence incentive cues underlies differences in benefitting from a PVS-targeted treatment. Individuals with clinically elevated depression and/or anxiety (N = 88, ages 18 to 55) participated in one of two randomized, waitlist-controlled trials of Amplification of Positivity (AMP; NCT02330627, NCT03196544), a cognitive and behavioral intervention targeting the PVS. Participants completed a monetary incentive delay (MID) task during fMRI acquisition at baseline measuring neural activation to the possibility of gaining or losing money. Change in PA from before to after treatment was assessed using the Positive and Negative Affect Schedule. No significant associations were observed between baseline neural activation during gain anticipation and AMP-related changes in PA in regions of interest (striatum and insula) or whole-brain analyses. However, higher baseline striatal and insula activation during loss anticipation was associated with greater increases in PA post-AMP. This study provides preliminary evidence suggesting neural reactivity to negative valence cues may inform who stands to benefit most from treatments targeting the PVS., Competing Interests: Declaration of competing interest Maria Kryza-Lacombe, Isabella Spaulding, Cheuk King Ku, and Nana Pearson declare that they have no conflicts of interest. Charles T. Taylor declares that in the past 3 years he has been a paid consultant for Bionomics and receives payment for editorial work for UpToDate and the journal Depression and Anxiety. Murray B. Stein declares that in the past 3 years he has received consulting income from Acadia Pharmaceuticals, Aptinyx, atai Life Sciences, BigHealth, Biogen, Bionomics, BioXcel Therapeutics, Boehringer Ingelheim, Clexio, Delix Therapeutics, Eisai, EmpowerPharm, Engrail Therapeutics, Janssen, Jazz Pharmaceuticals, NeuroTrauma Sciences, PureTech Health, Sage Therapeutics, Sumitomo Pharma, and Roche/Genentech. Dr. Stein has stock options in Oxeia Biopharmaceuticals and EpiVario. He has been paid for his editorial work on Depression and Anxiety (Editor-in-Chief), Biological Psychiatry (Deputy Editor), and UpToDate (Co-Editor-in-Chief for Psychiatry). He has also received research support from NIH, Department of Veterans Affairs, and the Department of Defense. He is on the scientific advisory board for the Brain and Behavior Research Foundation and the Anxiety and Depression Association of America., (Copyright © 2024. Published by Elsevier Ltd.)

Introduction: This study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive intervention., Methods: The sample included 4,790 soldiers from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who participated in 1 of 3 Army STARRS 2011-2014 baseline surveys followed by the third wave of the STARRS-LS online panel surveys (2020-2022). Two machine learning models were trained: a Stage-1 model that used administrative predictors and geospatial data available for all TSMs at discharge to identify high-risk TSMs for initial outreach; and a Stage-2 model estimated in the high-risk subsample that used self-reported survey data to help determine highest risk based on additional information collected from high-risk TSMs once they are contacted. The outcome in both models was homelessness within 12 months after leaving active service., Results: Twelve-month prevalence of post-transition homelessness was 5.0% (SE=0.5). The Stage-1 model identified 30% of high-risk TSMs who accounted for 52% of homelessness. The Stage-2 model identified 10% of all TSMs (i.e., 33% of high-risk TSMs) who accounted for 35% of all homelessness (i.e., 63% of the homeless among high-risk TSMs)., Conclusions: Machine learning can help target outreach and assessment of TSMs for homeless prevention interventions., (Published by Elsevier Inc.)

What are the major vulnerabilities in people with social anxiety? What are the most promising directions for translational research pertaining to this condition? The present paper provides an integrative summary of basic and applied translational research on social anxiety, emphasizing vulnerability factors. It is divided into two subsections: intrapersonal and interpersonal. The intrapersonal section synthesizes research relating to (a) self-representations and self-referential processes; (b) emotions and their regulation; and (c) cognitive biases: attention, interpretation and judgment, and memory. The interpersonal section summarizes findings regarding the systems of (a) approach and avoidance, (b) affiliation and social rank, and their implications for interpersonal impairments. Our review suggests that the science of social anxiety and, more generally, psychopathology may be advanced by examining processes and their underlying content within broad psychological systems. Increased interaction between basic and applied researchers to diversify and elaborate different perspectives on social anxiety is necessary for progress., Competing Interests: Declaration of competing interest All authors declare that they have no conflicts of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Previous research has implicated reductions in anxiety sensitivity (AS) - the dispositional tendency to fear anxiety-related sensations - as critical to change during cognitive behavioral therapy (CBT) for anxiety. However, the relationship of AS to anxiety symptom remittance following CBT remains largely unknown. To address this gap, the current study evaluated prospective associations between AS and symptoms of various anxiety disorders following completion of the Coordinated Anxiety Learning and Management (CALM) study- a large clinical trial evaluating the efficacy of a brief, computer-facilitated CBT intervention for transdiagnostic anxiety within primary care. Participants were randomized to CALM (n = 460) or a control treatment (n = 501) and completed self-report measures of general and disorder-specific anxiety symptoms at pretreatment and at 6-month, 12-month, and 18-month follow-up. Longitudinal relations between AS and each anxiety measure across timepoints and within each treatment group were assessed using cross-lagged panel models. Results indicated that higher AS following CALM predicted greater anxiety symptoms at the subsequent timepoint for all anxiety symptoms except social anxiety symptoms. Higher anxiety following treatment also predicted later AS. These findings implicate AS as an indicator of transdiagnostic anxiety remittance and suggest that targeting AS could be useful for reducing clinical anxiety relapse following CBT., (Published by Elsevier Ltd.)

Many individuals with posttraumatic stress disorder (PTSD) report increased negative affect (NA) and decreased positive affect (PA). Little is known about whether treatments for PTSD improve PA. We conducted a secondary analysis of a randomized clinical trial comparing integrated exposure therapy (I-PE) to integrated coping skills therapy (I-CS) for comorbid PTSD and alcohol use disorder (AUD). Veterans (N = 119) were randomized to 12-16 weeks of I-PE (n = 63) or I-CS (n = 56) and completed PA and NA measures at baseline, post-treatment, and 3- and 6-month follow-up. The analysis sample included 80 (67%) participants with the required data. A significantly greater proportion of the full sample met "clinical" levels (i.e., ±0.5 SD away from a general population mean) for NA than PA at baseline, but not at post-treatment. At post-treatment, the I-PE group demonstrated significantly greater change in NA than PA. Change in NA compared to PA did not significantly differ in the I-CS group. In the full sample, NA reduction was significantly larger than PA elevation post-treatment; change in NA, but not PA, was independently associated with symptom changes. Results provide an initial evaluation of treatment efficacy in concurrently repairing PA and NA and suggest room to improve both in individuals with PTSD and AUD., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Introduction: The ability to predict and prevent homelessness has been an elusive goal. The purpose of this study was to develop a prediction model that identified U.S. Army soldiers at high risk of becoming homeless after transitioning to civilian life based on information available before the time of this transition., Methods: The prospective cohort study consisted of observations from 16,589 soldiers who were separated or deactivated from service and who had previously participated in 1 of 3 baseline surveys of the Army Study to Assess Risk and Resilience in Servicemembers in 2011-2014. A machine learning model was developed in a 70% training sample and evaluated in the remaining 30% test sample to predict self-reported homelessness in 1 of 2 Longitudinal Study surveys administered in 2016-2018 and 2018-2019. Predictors included survey, administrative, and geospatial variables available before separation/deactivation. Analysis was conducted in November 2020-May 2021., Results: The 12-month prevalence of homelessness was 2.9% (SE=0.2%) in the total Longitudinal Study sample. The area under the receiver operating characteristic curve in the test sample was 0.78 (SE=0.02) for homelessness. The 4 highest ventiles (top 20%) of predicted risk included 61% of respondents with homelessness. Self-reported lifetime histories of depression, trauma of having a loved one murdered, and post-traumatic stress disorder were the 3 strongest predictors of homelessness., Conclusions: A prediction model for homelessness can accurately target soldiers for preventive intervention before transition to civilian life., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Positive valence system (PVS) deficits are increasingly recognized as important treatment targets for depression and anxiety. Emerging behavioral treatments designed to upregulate the PVS show initial promise; however, neural mechanisms underlying these approaches remain unknown. This study investigated neural reward-processing-related changes following Amplification of Positivity (AMP)-a treatment designed to enhance positive thinking, emotions and behaviors through positive activity interventions (Clinicaltrials.gov: NCT02330627). Individuals with depression and/or anxiety (N = 29) were randomized to 10 sessions of AMP (n = 16) or waitlist (WL; n = 13). Participants completed a monetary incentive delay task during fMRI at baseline and post-assessment. Hypothesis-driven region of interest (ventral striatum, insula, anterior cingulate) and exploratory whole-brain activation and connectivity analyses evaluated pre-to-post changes for AMP vs. WL when anticipating potential monetary gain or loss. No between-group brain activation changes emerged in regions of interest or whole-brain analyses. Increased neural connectivity from pre-to-post-treatment was observed in AMP vs. WL, including ventral striatum, anterior insula, and anterior cingulate connectivity with prefrontal, limbic, occipital and parietal regions-predominantly during loss anticipation. This preliminary study is the first to examine neural mechanisms of positive activity interventions in depression and anxiety and suggests that AMP may strengthen brain connectivity in reward processing, attention, and emotion regulation networks., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The interpersonal theory of suicide hypothesizes that perceived burdensomeness, thwarted belongingness, and hopelessness lead to active suicidal thoughts and individuals with active suicidal thoughts and elevated capability for suicide are most likely to attempt suicide. We retrospectively and prospectively tested this theory in a large sample of 7677 U.S. Army soldiers followed post-deployment for up to nine months. The interaction of perceived burdensomeness and hopelessness (OR = 2.59) was significantly associated with lifetime suicidal thoughts; however, the interactions of thwarted belongingness and perceived burdensomeness and of thwarted belongingness and hopelessness were not. Consistent with the theory, capability for suicide prospectively predicted suicide attempts during and following deployment (OR = 1.22); however, among soldiers reporting lifetime suicidal thoughts, capability did not predict attempts, only perceived burdensomeness did (OR = 1.36). Results supported some, but not all, theory hypotheses, suggesting that additional constructs may be needed to better identify the psychological factors that lead soldiers to attempt suicide., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Most nonfatal suicide attempts and suicide deaths occur among patients who deny suicidal ideation (SI) during suicide risk screenings. Little is known about risk factors for suicidal behaviors among such patients. We investigated this in a representative sample of U.S. Army soldiers who denied lifetime SI in a survey and were then followed through administrative records for up to 45 months to learn of administratively-recorded suicide attempts (SA). A novel two-stage risk assessment approach was used that combined first-stage prediction from administrative records to find the subsample of SI deniers with highest subsequent SA risk and then used survey reports to estimate a second-stage model identifying the subset of individuals in the high-risk subsample at highest SA risk. 70% of survey respondents denied lifetime SI. Administrative data identified 30% of this 70% who accounted for 81.2% of subsequent administratively-recorded SAs. A relatively small number of self-report survey variables were then used to create a prediction model that identified 10% of the first-stage high-risk sample (i.e., 3% of all soldiers) at highest SA risk (accounting for 45% of SAs in the total sample). We close by discussing potential applications of this approach for identifying future SI deniers at highest SA risk., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Introduction: Identification of modifiable risk factors for suicidal behaviors is a priority for the U.S. Army. This study investigated associations of nicotine dependence with suicidal behaviors among incoming soldiers., Methods: Lifetime DSM-IV nicotine dependence, mental disorders, suicidal behaviors, and their ages of onset were retrospectively assessed in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) New Soldier Study. Discrete-time survival analysis of person-year data from 30,436 soldiers was performed to evaluate associations of nicotine dependence with subsequent suicidal ideation, plans, and attempts. Among respondents with lifetime ideation (n=4,060), models tested associations of nicotine dependence with progression from ideation to first onset of plan, from plan to first attempt, and, among ideators without plans, from ideation to first unplanned attempt. A hierarchy of models incorporated increasing controls for other risk factors. Data were collected in 2011-2012 and analyzed in 2017-2018., Results: In models controlling for sociodemographic characteristics, nicotine dependence was associated with onset of all suicidal behaviors (AORs, 2.07-4.08, p<0.001) and with each type of progression of suicidal behavior (AORs, 1.48-2.44, p<0.005). After adjusting for childhood adversities and mental disorders, nicotine dependence remained associated with onset of ideation (AOR=1.27, 95% CI=1.10, 1.46, p=0.001) and attempt (AOR=1.83, 95% CI=1.41, 2.37, p<0.001); and with progression from ideation to unplanned attempt (AOR=2.03, 95% CI=1.17, 1.74, p<0.001)., Conclusions: Nicotine dependence exhibited associations with onset of suicidal ideation and suicide attempt-and with progression from ideation to unplanned attempt-that were independent of other measured risk factors. Awareness of associations of nicotine dependence with suicidal behaviors may inform risk assessment, facilitate targeting of prevention efforts, and provide further impetus for reducing nicotine dependence., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Introduction: The Department of Defense uses a universal prevention framework for sexual assault prevention, with each branch implementing its own branch-wide programs. Intensive interventions exist, but would be cost effective only if targeted at high-risk personnel. This study developed actuarial models to identify male U.S. Army soldiers at high risk of administratively recorded sexual assault perpetration., Methods: This study investigated administratively recorded sexual assault perpetration among the 821,807 male Army soldiers serving 2004-2009. Administrative data were also used to operationalize the predictors. Penalized discrete-time (person-month) survival analysis (conducted in 2016) was used to select the smallest possible number of stable predictors to maximize number of sexual assaults among the 5% of soldiers with highest predicted risk of perpetration (top-ventile concentration of risk). Separate models were developed for assaults against non-family and intra-family adults and minors., Results: There were 4,640 male soldiers found to be perpetrators against non-family adults, 1,384 against non-family minors, 380 against intra-family adults, and 335 against intra-family minors. Top-ventile concentration of risk was 16.2%-20.2% predicting perpetration against non-family adults and minors and 34.2%-65.1% against intra-family adults and minors. Final predictors consisted largely of measures of prior crime involvement and the presence and treatment of mental disorders., Conclusions: Administrative data can be used to develop actuarial models that identify a high proportion of sexual assault perpetrators. If a system is developed to consolidate administrative predictors routinely, then predictions could be generated periodically to identify those in need of preventive intervention. Whether this would be cost effective, though, would depend on intervention costs, effectiveness, and competing risks., (Copyright © 2017 American Journal of Preventive Medicine. All rights reserved.)

Objective: Cognitive behavioral therapy (CBT) is empirically supported for the treatment of anxiety disorders; however, not all individuals achieve recovery following CBT. Positive emotions serve a number of functions that theoretically should facilitate response to CBT - they promote flexible patterns of information processing and assimilation of new information, encourage approach-oriented behavior, and speed physiological recovery from negative emotions. We conducted a secondary analysis of an existing clinical trial dataset to test the a priori hypothesis that individual differences in trait positive emotions would predict CBT response for anxiety., Method: Participants meeting diagnostic criteria for panic disorder (n = 28) or generalized anxiety disorder (n = 31) completed 10 weekly individual CBT sessions. Trait positive emotionality was assessed at pre-treatment, and severity of anxiety symptoms and associated impairment was assessed throughout treatment., Results: Participants who reported a greater propensity to experience positive emotions at pre-treatment displayed the largest reduction in anxiety symptoms as well as fewer symptoms following treatment. Positive emotions remained a robust predictor of change in symptoms when controlling for baseline depression severity., Conclusions: Initial evidence supports the predictive value of trait positive emotions as a prognostic indicator for CBT outcome in a GAD and PD sample., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: Accidents are one of the leading causes of death among U.S. active-duty Army soldiers. Evidence-based approaches to injury prevention could be strengthened by adding person-level characteristics (e.g., demographics) to risk models tested on diverse soldier samples studied over time., Purpose: To identify person-level risk indicators of accident deaths in Regular Army soldiers during a time frame of intense military operations, and to discriminate risk of not-line-of-duty from line-of-duty accident deaths., Methods: Administrative data acquired from multiple Army/Department of Defense sources for active duty Army soldiers during 2004-2009 were analyzed in 2013. Logistic regression modeling was used to identify person-level sociodemographic, service-related, occupational, and mental health predictors of accident deaths., Results: Delayed rank progression or demotion and being male, unmarried, in a combat arms specialty, and of low rank/service length increased odds of accident death for enlisted soldiers. Unique to officers was high risk associated with aviation specialties. Accident death risk decreased over time for currently deployed, enlisted soldiers and increased for those never deployed. Mental health diagnosis was associated with risk only for previous and never-deployed, enlisted soldiers. Models did not discriminate not-line-of-duty from line-of-duty accident deaths., Conclusions: Adding more refined person-level and situational risk indicators to current models could enhance understanding of accident death risk specific to soldier rank and deployment status. Stable predictors could help identify high risk of accident deaths in future cohorts of Regular Army soldiers., (Copyright © 2014 American Journal of Preventive Medicine. All rights reserved.)

In this study, we examine the feasibility of cognitive behavior therapy (CBT) for children with anxiety in primary care, using two modes of treatment delivery. A total of 48 parents and youth (8-13) with anxiety disorders were randomly assigned to receive 10-sessions of CBT either delivered by a child anxiety specialist in the primary care clinic or implemented by the parent with therapist support by telephone (i.e., face-to-face or therapist-supported bibliotherapy). Feasibility outcomes including satisfaction, barriers to treatment participation, safety, and dropout were assessed. Independent evaluators, blind to treatment condition, administered the Anxiety Disorders Interview Schedule for Children (ADIS) and the Clinical Global Impression of Improvement (CGI-I) at baseline, post-treatment and 3-month follow-up; clinical self-report questionnaires were also administered. Findings revealed high satisfaction, low endorsement of barriers, low drop out rates, and no adverse events across the two modalities. According to the CGI-I, 58.3%-75% of participants were considered responders (i.e., much or very much improved) at the various time points. Similar patterns were found for remission from "primary anxiety disorder" and "all anxiety disorders" as defined by the ADIS. Clinically significant improvement was seen on the various parent and child self-report measures of anxiety. Findings suggest that both therapy modalities are feasible and associated with significant treatment gains in the primary care setting. (clinicaltrials.gov unique identifier: NCT00769925)., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Suicide is an important public health problem. Although there have been advances in our knowledge of suicide, gaps remain in knowledge about suicide risk factors and prevention. Here, we discuss research pathways that have the potential to rapidly advance knowledge in suicide risk assessment and reduction of suicide deaths over the next decade. We provide a concise overview of the methodologic approaches that have the capacity to rapidly increase knowledge and change practice, which have been successful in past work in psychiatry and other areas of medicine. We suggest three specific pathways to advance knowledge of suicide risk factors and prevention. First, analysis of large-scale epidemiologic surveys and administrative data sets can advance the understanding of suicide. Second, given the low base rate of suicide, there is a need for networks/consortia of investigators in the field of suicide prevention. Such consortia have the capacity to analyze existing epidemiologic data sets, create multi-site cohort studies of high-risk groups to increase knowledge of biological and other risk factors, and create a platform for multi-site clinical trials. Third, partnerships with policymakers and researchers would facilitate careful scientific evaluation of policies and programs aimed at reducing suicide. Suicide intervention policies are often multifaceted, expensive, and rarely evaluated. Using quasi-experimental methods or sophisticated analytic strategies such as propensity score-matching techniques, the impact of large-scale interventions on suicide can be evaluated. Furthermore, such partnerships between policymakers and researchers can lead to the design and support of prospective RCTs (e.g., cluster randomized trials, stepped wedge designs, waiting list designs) in high-risk groups (e.g., people with a history of suicide attempts, multi-axial comorbidity, and offspring of people who have died by suicide). These research pathways could lead to rapid knowledge uptake between communities and have the strong potential to reduce suicide., (Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Anxiety disorders are common, costly and debilitating, and yet often unrecognized or inadequately treated in real world, primary care settings. Our group has been researching ways of delivering evidence-based treatment for anxiety in primary care settings, with special interest to preserving the fidelity of the treatment while at the same time promoting its sustainability once the research is over. In this paper, we describe the programs we have developed and our directions for future research. Our first study evaluated the efficacy of CBT and expert pharmacotherapy recommendations for panic disorder in primary care, using a collaborative care model of service delivery (CCAP). Symptom, disability and mental health functioning measures were superior for the intervention group compared to treatment as usual both in the short term and the long term, although also more costly. In our ongoing CALM study, we have extended our population to include panic disorder, social anxiety disorder, generalized anxiety disorder and posttraumatic disorder, while at the same time utilizing clinicians with limited mental health care experience. In addition to pharmacotherapy management, we developed a computer-assisted CBT that guides both novice clinician and patient, thereby contributing to sustainability once the research is over. We have also incorporated a measurement based approach to treatment planning, using a web-based tracking system of patient status. To date, the computer-assisted CBT program has been shown to be acceptable to clinicians and patients. Clinicians rated the program highly, and patients engaged in the program. Future directions for our research include dissemination and implementation of the CALM program, testing potential alternations to the CALM program, and distance delivery of CALM.

Background: There is evidence from cross-sectional studies that posttraumatic stress disorder (PTSD) may be associated with obesity. The aim of this study was to examine prospective longitudinal associations between PTSD and obesity in a community sample., Methods: A prospective, longitudinal, epidemiologic study with a representative community sample of adolescents and young adults (N=3021, aged 14-24 years at baseline) was conducted in Munich, Germany. Participants were assessed four times between 1995 and 2005 with the Munich-Composite International Diagnostic Interview. Associations between obesity (BMI > or =30) and DSM-IV PTSD were evaluated in 2007, using cross-sectional and prospective data during young adulthood., Results: The cumulative lifetime incidence of obesity in the sample at 10-year follow-up during young adulthood was 4.3% (women, 4.6%; men, 4.0%). Among women but not among men, obesity was associated with a lifetime history of PTSD (OR=3.8; 95% CI=1.4, 10.7) in the cross-sectional analyses. Prospective longitudinal analyses from 4-year follow-up to 10-year follow-up confirmed that obesity was predicted by antecedent subthreshold and full PTSD (OR=3.0; 95% CI=1.3, 7.0) among women but not among men. There were no associations between other mental disorders and obesity in the prospective analyses., Conclusions: The findings indicate a possible causal pathway for the onset of obesity in females with PTSD symptoms. These findings need replication with regard to the pathophysiologic and behavioral mechanisms underlying this relationship.

The present study employed both exploratory and confirmatory factor analytic approaches with nationally representative samples of individuals with a lifetime diagnosis of social anxiety disorder (n=1123; n=3091, respectively) using split-halves of the National Comorbidity Replication Survey (n=9282) and cross-validated with the Canadian Community Health Survey on Mental Health and Wellbeing (n=36,984). Strong support was found for a three-factor solution. This model was obtained from exploratory factor analysis and was further evaluated using two confirmatory factor analytic investigations in the two national samples. The three social situational domains reflected (1) Social Interaction Fears, (2) Observation Fears, and (3) Public Speaking Fears. Individuals with generalized social anxiety disorder (i.e., those who endorsed 7 or more of 13 feared social situations assessed in the survey) were significantly more likely to report Social Interaction Fears and Observation Fears compared to individuals with non-generalized social anxiety disorder (i.e., those who endorsed only 6 or fewer of 13 feared social situations). Individuals with generalized social anxiety were particularly characterized by combinations of Public Speaking Fears plus Social Interaction Fears and Observation Fears. The clinical and classification implications of our study for DSM-V are discussed.

Developing a comprehensive understanding of resilience across the lifespan is potentially important for mental health promotion, yet resilience has been vastly understudied compared to disease and vulnerability. The present study investigated the relationship of resilience to personality traits, coping styles, and psychiatric symptoms in a sample of college students. Measures included the Connor-Davidson Resilience Scale, NEO Five Factor Inventory, Coping Inventory for Stressful Situations, and Brief Symptom Inventory. Results supported hypotheses regarding the relationship of resilience to personality dimensions and coping styles. Resilience was negatively associated with neuroticism, and positively related to extraversion and conscientiousness. Coping styles also predicted variance in resilience above and beyond the contributions of these personality traits. Task-oriented coping was positively related to resilience, and mediated the relationship between conscientiousness and resilience. Emotion-oriented coping was associated with low resilience. Finally, resilience was shown to moderate the relationship between a form of childhood maltreatment (emotional neglect) and current psychiatric symptoms. These results augment the literature that seeks to better define resilience and provide evidence for the construct validity of the Connor-Davidson Resilience Scale.

Although the importance of recognizing posttraumatic stress disorder (PTSD) in primary care has been well-established, routine screening for PTSD remains unfeasible for many primary care clinics because of the length of the available screening instruments. Thus, the purpose of this work was to develop and validate a brief screening tool for PTSD. In Study 1, four short forms of the PTSD Checklist-civilian version were identified that captured a majority of the variance in the measure. In Study 2, the performance of these short forms was evaluated in a separate sample of primary care patients. We found that both two-item and six-item versions have adequate psychometric properties for screening purposes and suggest that the selection of one version over the other depends on the specific needs of each primary care clinic.

Cognitive models of social phobia posit that an individual's negative beliefs about the way he or she is perceived by others (metaperceptions) are a core feature of the disorder. The social relations model () was used to analyze interpersonal perception data collected following unstructured social interactions in 62 socially anxious (SA) and 62 not socially anxious (NSA) individuals. Using this model, the interpersonal perceptions were analyzed to evaluate whether pathological levels of social anxiety are associated with self-perceptions, metaperceptions, and perceptions from others. SA participants saw themselves negatively and believed others saw them negatively. Although seen as more nervous by others, SA participants were not seen as less likeable. A mediational model demonstrated that the negative metaperceptions of SA individuals were more a function of their own self-perceptions than the negative perceptions of others. These findings were not attributable to depressive symptoms. Implications for theory and treatment of social phobia are discussed.

Objectives: To evaluate the prevalence, clinical correlates, and severity of sexual dysfunction in combat veterans with and without post-traumatic stress disorder (PTSD) using a validated instrument for assessing sexual function. The results of recent studies have suggested that combat veterans with PTSD experience a higher rate of sexual dysfunction than do those without PTSD., Methods: We administered the International Index of Erectile Function (IIEF) and a demographic and health questionnaire to male combat veterans undergoing treatment for PTSD and to age-comparable male combat veterans without PTSD., Results: The mean total IIEF score was significantly lower in the 44 patients with PTSD than in the 46 controls (26.38 versus 40.86; P = 0.035). With respect to the individual IIEF domains, patients with PTSD had poorer scores on overall satisfaction and orgasmic function and showed trends toward poorer scores on intercourse satisfaction and erectile function. No statistically significant difference was observed for sexual desire. The rate of erectile dysfunction was 85% in patients with PTSD and 22% in controls. Moderate to severe erectile dysfunction was present in 45% of the patients with PTSD and in only 13% of controls. Significantly more patients with PTSD (57%) than controls (17%) were using psychotropic medications., Conclusions: Combat veterans with PTSD experience a significantly higher rate of sexual dysfunction than do veterans without PTSD and show impairment in some, but not all, specific domains of sexual function. The IIEF may be useful in evaluating the response to treatment of erectile dysfunction. Clinicians should proactively address the sexual concerns of combat veterans with PTSD.

We examined data from a community survey of trauma exposure and DSM-IV PTSD in Winnipeg, Canada to explore factors associated with the higher rate of PTSD in women than men. Women were found to be at significantly increased risk for PTSD following exposure to serious trauma (odds ratio approximately 5), even when sexual trauma--which predominates in women--was excluded (odds ratio approximately 3). Adjusting for gender differences in the number of lifetime traumata, or in the likelihood of the trauma being associated with particular reactions to or consequences of the event (i.e. thinking that one would be killed or seriously injured; sustaining a serious physical injury; seeing someone else seriously injured or killed) did not result in a lessening of the PTSD risk in women. Women were found to be at increased risk for PTSD following nonsexual assaultive violence (e.g. mugging or other physical attack) but not following non-assaultive trauma (e.g. fire, witnessing injury to others). Understanding the basis of (and parameters for) this increased susceptibility to PTSD in women compared to men following trauma exposure should be a priority for future traumatic stress research.

Recent exploratory [Taylor, S., Kuch, K., Koch, W. J., Crockett, D. J., & Passey, G. (1998). The structure of posttraumatic stress symptoms. Journal of Abnormal Psychology, 107, 154-160.] and confirmatory [Buckley, T. C., Blanchard, E. B., & Hickling, E. J. (1998). A confirmatory factor analysis of posttraumatic stress symptoms. Behaviour Research and Therapy, 36, 1091-1099; King, D. W., Leskin, G. A., King, L. A., & Weathers, F. W. (1998). Confirmatory factor analysis of the clinician-administered PTSD scale: evidence for the dimensionality of posttraumatic stress disorder. Psychological Assessment, 10, 90-96.] factor analytic investigations suggest that the three symptom clusters of posttraumatic stress disorder (PTSD) as defined in the Diagnostic and Statistical Manual [4th ed.; DSM-IV; American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.] may not provide the best conceptualization of symptom dimensionality. However, the alternative models have not been in agreement, nor have they been compared against each other or models based on the DSM-IV. The purpose of the present investigation was to test a series of dimensional models suggested by these recent factor analytic investigations and the DSM-IV. Using data collected with the PTSD Checklist--Civilian Version [Weathers, F. W., Litz, B. T., Huska, J. A., & Keane, T. M. (1994). PCL-C for DSM-IV. Boston: National Center for PTSD--Behavioral Science Division.] from 349 referrals to a primary care medical clinic, we used confirmatory factor analysis to evaluate a: (1) hierarchical four-factor model, (2) four-factor intercorrelated model, (3) hierarchical three-factor model, (4) three-factor intercorrelated model, and (5) hierarchical two-factor model. The hierarchical four-factor model (comprising four first-order factors corresponding to reexperiencing, avoidance, numbing, and hyperarousal all subsumed by a higher-order general factor) provided the best overall fit to the data; although, all models met some standards specified for good model fit. More research is needed to establish the dimensional nature of PTSD symptoms and to assess whether identified dimensions differ as a function of the trauma experience. Implications for assessment, diagnosis, and treatment are also discussed.

Twenty-eight patients with panic disorder (PD) and 30 with social phobia (SP) were compared on demographic and psychopathology measures. The demographic comparisons showed that, although people with SP were better educated, they were more likely to be single, living alone, and unemployed. The comparisons of psychopathology showed that the proportion of people with PD and SP with a life time major affective disorder did not differ, nor did the two groups differ on the proportion of Ss reporting past suicide attempts. However, a greater proportion of patients with SP had Brief Michigan Alcohol Screening Test scores above 5, indicating alcohol abuse problems. The implications of these findings are discussed.

The genetically nervous pointer dog has been proposed as a model for human anxiety disorders. In a double-blind placebo-controlled study, seventeen nervous pointer dogs were treated for four weeks with imipramine hydrochloride (10 mg/kg), a potent antipanic agent in humans. Although three of the dogs demonstrated marked improvement to imipramine but not placebo treatment after short-term administration, chronic imipramine failed to modify the aberrant behavior in any of the dogs. These findings are discussed in the context of the nervous pointer dog as a model for human anxiety disorders.