Physical inactivity, cigarette smoking, and psychiatric comorbidity among veterans with posttraumatic stress disorder.

BACKGROUND: Posttraumatic stress disorder (PTSD) is associated with physical inactivity and cigarette smoking. However, little is known about the degree to which comorbid psychiatric conditions affect the odds of physical inactivity and smoking among individuals with PTSD. OBJECTIVE: To examine associations between PTSD, comorbid psychiatric conditions (depression, anxiety, or hazardous alcohol/substance use), physical inactivity and smoking among military veterans. METHOD: This was a cross-sectional analysis of data on U.S. veterans from Project VALOR (Veterans' After-discharge Longitudinal Registry; n = 1140). Logistic regressions examined associations between PTSD, comorbid psychiatric conditions, physical inactivity, and cigarette smoking. RESULTS: PTSD was associated with increased odds of being physically inactive (odds ratio [OR] = 2.08, p < .001) and a current smoker (OR = 1.39, p = .037), relative to no PTSD. PTSD with cooccurring depression was associated with increased odds for physical inactivity (OR = 2.68, p < .001) and smoking (OR = 1.78, p = .003), relative to PTSD only. PTSD with anxiety was associated with physical inactivity (OR = 2.17, p < .001), whereas cooccurring alcohol (OR = 1.60, p = .023) and substance use (OR = 2.00, p = .001) were associated with smoking. Additionally, numerous combinations of PTSD plus multiple conditions (e.g., PTSD + depression + anxiety) further increased the odds of physical inactivity and smoking (p < .05). CONCLUSIONS: Greater numbers of psychiatric comorbidities increase the odds of physical inactivity and cigarette smoking among veterans with PTSD. Physical inactivity and cigarette smoking are important predictors of cardiovascular and metabolic disease, and PTSD rarely occurs without psychiatric comorbidity. Thus, additional longitudinal research is needed to determine the impact of these associations, as they have clear physical and mental health implications. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cross-lagged effects of posttraumatic stress disorder symptom severity and cigarette smoking among OEF/OIF/OND veterans.

OBJECTIVES: Veterans with posttraumatic stress disorder (PTSD) are known to smoke cigarettes at elevated levels in comparison to both veterans without PTSD and civilians. This study aims to elucidate how cigarette smoking and PTSD symptoms interact over time. MATERIALS AND METHODS: This study examined the directionality and strength of the relationship between average daily cigarette smoking and PTSD symptom severity across three (T1-T3) time points in a large cohort (N = 851) of male and female Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn returning veterans who were either current or former smokers at T1 (mean age = 37.56; standard deviation = 10.10). We used cross-lagged panel analyses to evaluate their temporal relations. RESULTS: The analyses indicated that PTSD symptom severity at T1 significantly predicted cigarette smoking at T2, and this predictive association was maintained from T2 to T3. Conversely, smoking at T1 and T2 did not predict PTSD symptom severity at T2 and T3, respectively. Although effect sizes were small, PTSD symptom severity was cross-sectionally related to smoking at T1 and T2, but not T3. In addition, when analyses were examined by gender, the same results were found except these associations were stronger for women than for men cross-sectionally. CONCLUSION: Our findings provide some evidence of a longitudinal association between PTSD symptom severity and tobacco use and highlight potential targets of intervention.

Developing an optimal short-form of the PTSD Checklist for DSM-5 (PCL-5).

BACKGROUND: Although several short-forms of the posttraumatic stress disorder (PTSD) Checklist (PCL) exist, all were developed using heuristic methods. This report presents the results of analyses designed to create an optimal short-form PCL for DSM-5 (PCL-5) using both machine learning and conventional scale development methods. METHODS: The short-form scales were developed using independent datasets collected by the Army Study to Assess Risk and Resilience among Service members. We began by using a training dataset (n = 8,917) to fit short-form scales with between 1 and 8 items using different statistical methods (exploratory factor analysis, stepwise logistic regression, and a new machine learning method to find an optimal integer-scored short-form scale) to predict dichotomous PTSD diagnoses determined using the full PCL-5. A smaller subset of best short-form scales was then evaluated in an independent validation sample (n = 11,728) to select one optimal short-form scale based on multiple operating characteristics (area under curve [AUC], calibration, sensitivity, specificity, net benefit). RESULTS: Inspection of AUCs in the training sample and replication in the validation sample led to a focus on 4-item integer-scored short-form scales selected with stepwise regression. Brier scores in the validation sample showed that a number of these scales had comparable calibration (0.015-0.032) and AUC (0.984-0.994), but that one had consistently highest net benefit across a plausible range of decision thresholds. CONCLUSIONS: The recommended 4-item integer-scored short-form PCL-5 generates diagnoses that closely parallel those of the full PCL-5, making it well-suited for screening.

The Impact of Assessment Modality and Demographic Characteristics on Endorsement of Military Sexual Trauma.

OBJECTIVES: Military sexual trauma (MST) is a pervasive problem among veterans, and is associated with a host of deleterious outcomes. It is, therefore, imperative to identify individuals who have experienced MST so that they can be offered appropriate treatment. To determine how to best identify MST survivors, the current study examined how different assessment modalities might affect MST endorsement, and whether endorsement varied as a product of demographic group membership. METHODS: Data from 697 male and female veterans participating in the Veterans' After-Discharge Longitudinal Registry (Project VALOR) were used to examine how three different MST assessment modalities-the Veterans Health Administration screen, a study interview, and a study questionnaire measure-might affect MST endorsement across five different demographic variables (gender, ethnicity, sexual orientation, race, and age). Each participant was evaluated for MST exposure using each of the three assessment modalities. RESULTS: Both assessment modality and demographic membership influenced MST endorsement. MST endorsement on the study measures was consistently twice as large as on the Veterans Health Administration screen, across demographic groups. For men, MST endorsement varied by a factor of 11 across measures, with endorsement being lowest on the Veterans Health Administration screen and highest on the study questionnaire. Although differences were also detected for sexual minority and Black participants, these findings may have been better explained by gender differences. CONCLUSIONS: Both assessment modality and demographic membership substantially influenced MST endorsement. Providing a clear rationale for screening and increasing privacy around screening results, particularly for male veterans, may help to facilitate MST disclosure.

Posttraumatic stress disorder in veterans and military personnel: epidemiology, screening, and case recognition.

Posttraumatic stress disorder (PTSD) is a psychiatric disorder that affects 7-8% of the general U.S. population at some point during their lifetime; however, the prevalence is much higher among certain subgroups, including active duty military personnel and veterans. In this article, we review the empirical literature on the epidemiology and screening of PTSD in military and veteran populations, including the availability of sensitive and reliable screening tools. Although estimates vary across studies, evidence suggests that the prevalence of PTSD in deployed U.S. military personnel may be as high as 14-16%. Prior studies have identified trauma characteristics and pre- and posttrauma factors that increase risk of PTSD among veterans and military personnel. This information may help to inform prevention and screening efforts, as screening programs could be targeted to high-risk populations. Large-scale screening efforts have recently been implemented by the U.S. Departments of Defense and Veterans Affairs. Given the prevalence and potential consequences of PTSD among veterans and active duty military personnel, development and continued evaluation of effective screening methods is an important public health need.

Differences in drinking patterns, occupational stress, and exposure to potentially traumatic events among firefighters: predictors of smoking relapse.

BACKGROUND AND OBJECTIVES: Despite the increased awareness regarding the risks of cigarette smoking, this behavior continues to be a serious public health concern. As such, the goal of the current study was to examine risk factors for smoking relapse among individuals employed through fire service. METHODS: In this report, drinking changes, trauma exposure, and occupational stress were compared among firefighters (N = 81) who reported a relapse to cigarette smoking (n = 27), a lifetime former history of smoking (n = 27), or no history of smoking (n = 27). Mechanisms behind tobacco relapse occurring after employment in fire service were explored. RESULTS: Firefighters who relapsed to smoking, when compared to their nonsmoking peers, had higher rates of weekly alcohol consumption throughout their first year of fire service and had greater increases in drinking from preacademy to postacademy. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Gaining a better understanding of these behaviors within this understudied and high-risk population may provide valuable information that can be used in designing future relapse prevention strategies as well as smoking cessation interventions.

Development and initial validation of a statistical prediction instrument for assessing combat-related posttraumatic stress disorder.

Statistical analyses were used to derive and validate a statistical prediction instrument to determine combat-related posttraumatic stress disorder (PTSD) status. Participants were 1081 Vietnam veterans with and without combat-related PTSD. The statistical prediction instrument, which consisted of 12 well-known risk and resilience variables associated with PTSD, proved to be an accurate and efficient means of detecting PTSD among participants and compared well against other existing self-report measures of PTSD. The instrument's practical applications and its use in clinical appraisals of PTSD are discussed.

Construct validity of the posttraumatic stress disorder checklist in cancer survivors: analyses based on two samples.

The measurement of posttraumatic stress disorder (PTSD) is critically important for the identification and treatment of this disorder. The PTSD Checklist (PCL; F. W. Weathers and J. Ford, 1996) is a self-report measure that is increasingly used. In this study, the authors investigated the factorial validity of the PCL with data from 236 cancer survivors who received a bone marrow or stem cell transplantation. The authors examined the fit of these data with the clinical model of 3 symptom clusters for PTSD, as proposed in the Diagnostic and Statistical Manual of Mental Disorders, and alternative models tested in prior research. By using confirmatory factor analysis the authors found that a 4-first-order-factor model of PTSD provided the best fit. The relations of PTSD symptoms with sociodemographic and medical variables were also explored.