Understanding Racial Disparities in Dementia Prevalence Among Veterans.

Background: Black and Hispanic older adults have greater incidence of Alzheimer's disease and related dementias relative to White adults, but factors underlying these disparities are not well understood, limiting the ability to address them. Objective: To determine the impact of demographics, cardiovascular disease (CVD) and risk factors, social determinants of health (SDOH), and neuropsychiatric risk factors on racial/ethnic disparities in dementia risk among Veterans. Methods: We examined a random sample of 1,579,919 older Veterans (age ≥55) without dementia who received care from the VHA from October 1, 1999 to September 30, 2021. All variables were extracted from national VHA data. We used Cox proportional hazard regression models to examine change in variance in risk of dementia across racial/ethnic groups. Results: During follow up (mean 11.1 years), 13% of Veterans developed dementia. Relative to White Veterans, the adjusted hazard ratios (AHRs) for developing dementia in sex-adjusted models with age as timescale were 1.65 (95% CI, 1.63-1.67) for Black Veterans and 1.50 (95% CI, 1.44-1.56) for Hispanic Veterans. In the model examining CVD and risk factors, AHRs were 1.53 (95% CI, 1.50-1.55) for Black Veterans and 1.38 (95% CI, 1.33-1.44) for Hispanic Veterans. In the model examining SDOH, AHRs were 1.46 (95% CI, 1.43-1.49) for Black Veterans and 1.34 (95% CI, 1.29-1.40) for Hispanic Veterans. Conclusions: SDOH and CVD and risk factors accounted for the greatest amount of variance in racial/ethnic disparities in dementia risk. Cardiovascular disease and SDOH are strong possible targets for interventions designed to reduce these disparities.

Severity of posttraumatic stress disorder, type 2 diabetes outcomes and all-cause mortality: A retrospective cohort study.

BACKGROUND: Some evidence suggests patients with comorbid PTSD and type 2 diabetes (T2D) have worse T2D outcomes than those with T2D alone. However, there is no evidence regarding PTSD severity and risk for starting insulin, hyperglycemia, microvascular complications, and all-cause mortality. METHODS: In this retrospective cohort study, Veterans Health Affairs (VHA) medical record data from fiscal year (FY) 2012 to FY2022 were used to identify eligible patients (n = 23,161) who had a PTSD diagnosis, ≥1 PTSD Checklist score, controlled T2D (HbA1c ≤ 7.5) without microvascular complications at baseline. PTSD Checklist for DSM-5 (PCL-5) scores defined mild, moderate, and severe PTSD. Competing risk and survival models estimated the association between PTSD severity and T2D outcomes before and after controlling for confounding. RESULTS: Most (70%) patients were ≥ 50 years of age, 88% were male, 64.2% were of white race and 17.1% had mild, 67.4% moderate and 15.5% severe PTSD. After control for confounding, as compared to mild PTSD, moderate (HR = 1.05; 95% CI:1.01-1.11) and severe PTSD (HR = 1.15; 95%CI:1.07-1.23) were significantly associated with increased risk for microvascular complication. Hyperarousal was associated with a 42% lower risk of starting insulin. Negative mood was associated with a 16% increased risk for any microvascular complication. Severe PTSD was associated with a lower risk for all-cause mortality (HR = 0.76; 95%CI:0.63-0.91). CONCLUSIONS: Patients with comorbid PTSD and T2D have an increased risk for microvascular complications. However, they have lower mortality risk perhaps due to more health care use and earlier chronic disease detection. PTSD screening among patients with T2D may be warranted.

Association of select psychiatric disorders with incident brain aneurysm and subarachnoid hemorrhage among veterans.

Background: Brain aneurysms represent a significant cause of hemorrhagic stroke. Prior research has demonstrated links between stress and stroke, including brain aneurysms. We aimed to determine relationships between select psychiatric disorders and aneurysms and aneurysmal SAH. Methods: We performed retrospective, case-control study of a National Veterans Affairs population with two experimental groups (aneurysm-only and aneurysmal SAH) and 10-fold controls per group matched by age, date, and clinical data source. The studied the presence of 4 psychiatric disorders: Posttraumatic stress disorder (PTSD), major depressive disorder (MDD), generalized anxiety disorder (GAD), and other mood disorders. Our main outcomes Unadjusted and multivariable adjusted ORs of PTSD, MDD, GAD, and mood disorders within aneurysm-only and aSAH groups. Results: In 6,320,789 US Veterans who were enrolled for at least 5 years in Medicare and/or the Veterans Health Administration, we identified 35,094 cases of aneurysm without SAH and 5,749 cases of aneurysm with SAH between 1/2005 and 12/2019. In analyses adjusted for sex, hypertension, and tobacco use, patients with aneurysm were more likely than matched controls to have a history of PTSD (OR 1.48), MDD (OR 1.33), GAD (OR 1.26), and other mood disorders (OR 1.34) (all p-values < 0.0001). Similarly, patients with aSAH were more likely than controls to have a history of PTSD (OR 1.35), MDD (OR 1.38), GAD (OR 1.18), and other mood disorders (OR 1.30) (all p-values < 0.0001). Conclusion: The study, the largest of its kind, further suggests links between psychiatric disorders and stroke. This is important as patients with aneurysms are not routinely screened for such psychiatric risk factors. Additional research on this topic could lead to novel strategies to improve stroke prevention.

Perceptions of Safety of Daily Cannabis vs Tobacco Smoking and Secondhand Smoke Exposure, 2017-2021.

Importance: While rates of cigarette use are declining, more US adults are using cannabis. Perceptions of safety are important drivers of substance use and public policy; however, little is known about the comparative views of US adults on tobacco and cannabis safety. Objective: To compare public perceptions of safety of cannabis vs tobacco smoke and evaluate how perceptions may be changing over time. Design, Setting, and Participants: This longitudinal survey study was conducted using a web-based survey administered in 2017, 2020, and 2021. US adults participating in Ipsos KnowledgePanel, a nationally representative, population-based survey panel, were included. Data were analyzed from March 2021 through June 2023. Main Outcomes and Measures: Two questions directly compared the perception of safety of cannabis vs tobacco in terms of daily smoking and secondhand smoke exposure. Additional questions assessed perceptions of safety of secondhand tobacco smoke for adults, children, and pregnant women, with an analogous set of questions for secondhand cannabis smoke. Results: A total of 5035 participants (mean [SD] age, 53.4 [16.2] years; 2551 males [50.7%]) completed all 3 surveys and provided responses for tobacco and cannabis risk questions. More than one-third of participants felt that daily smoking of cannabis was safer than tobacco, and their views increasingly favored safety of cannabis vs tobacco over time (1742 participants [36.7%] in 2017 vs 2107 participants [44.3%] in 2021; P < .001). The pattern was similar for secondhand cannabis smoke, with 1668 participants (35.1%) responding that cannabis was safer than tobacco in 2017 vs 1908 participants (40.2%) in 2021 (P < .001). Participants who were younger (adjusted odds ratio [aOR] for ages 18-29 years vs ≥60 years, 1.4 [95% CI, 1.1-1.8]; P = .01) or not married (aOR, 1.2 [95% CI, 1.0-1.4]; P = .01) were more likely to move toward safer views of cannabis use over time, while those who were retired (aOR vs working, 0.8 [95% CI, 0.7-0.9]; P = .01) were less likely to move toward a safer view of cannabis. Participants were also more likely to rate secondhand smoke exposure to cannabis vs tobacco as completely or somewhat safe in adults (629 participants [12.6%] vs. 119 participants [2.4%]; P < .001), children (238 participants [4.8%] vs. 90 participants [1.8%]; P < .001), and pregnant women (264 participants [5.3%] vs. 69 participants [1.4%]; P < .001). Conclusions and Relevance: This study found that US adults increasingly perceived daily smoking and secondhand exposure to cannabis smoke as safer than tobacco smoke from 2017 to 2021. Given that these views do not reflect the existing science on cannabis and tobacco smoke, the findings may have important implications for public health and policy as the legalization and use of cannabis increase.

Changes in perceived harms of tobacco and cannabis and their correlations with use: A panel study of young adults 2014-2020.

PURPOSE: Perceived harm is associated with substance use. Changes in product and policy landscapes may impact perceived harms of tobacco and cannabis. This study aimed to examine changes in young adults' perceived harms of tobacco and cannabis and their associations with use behavior during a period including both before and after legalization of cannabis. METHODS: We conducted a panel survey of California Bay Area young adults (mean age = 23.5 years old, 64.4% female) in 2014 and 2019-2020. Participants (N = 306) reported past 30-day use and perceived harms of tobacco and cannabis at both waves. Perceived harms to health of cannabis and tobacco (cigarettes, e-cigarettes, hookah, smokeless tobacco, and secondhand tobacco smoke) were measured from 1-"Not at all harmful" to 7-"Extremely harmful." Mixed-effects logistic regressions examined associations between perceived harms and use of tobacco and cannabis, controlling for demographics. RESULTS: Participants perceived lower harm for cannabis than for tobacco products. Perceived harms of e-cigarettes, hookah, and smokeless tobacco significantly increased over time; while perceived harms of cigarettes, secondhand tobacco smoke, and cannabis did not change. Increased perceived harm of e-cigarettes was associated with lower odds of any tobacco use (OR = 0.72, 95%CI = 0.56, 0.92), and increased perceived harm of cannabis was associated with lower odds of any cannabis use (OR = 0.51, 95%CI = 0.42, 0.62). CONCLUSIONS: Findings suggest that perceived harms of e-cigarettes and cannabis play important roles in driving young adult use behaviors. Risk communication efforts that increase perceptions of health harms related to e-cigarettes and cannabis may decrease use of tobacco and cannabis among young people.

The association of post-traumatic stress disorder with glomerular filtration rate decline.

While major depression is known to be associated with glomerular filtration rate (GFR) decline, there is a lack of data on the association of other mental illnesses like posttraumatic stress disorder (PTSD) with kidney disease. In 640 adult participants of the Heart and Soul Study (mean baseline age of 66.2 years) with a high prevalence cardiovascular disease, hypertension and diabetes, we examined the association of PTSD with GFR decline over a 5-year follow-up. We observed a significantly greater estimated (e) GFR decline over time in those with PTSD compared to those without (2.97 vs. 2.11 ml/min/1.73 m2 /year; p = .022). PTSD was associated with 91% (95% CI 12%-225%) higher odds of 'rapid' versus 'mild' (>3.0 vs. <3.0 ml/min/1.73 m2 /per year) eGFR decline. These associations remained consistent despite controlling for demographics, medical comorbidities, other mental disorders and psychiatric medications. In conclusion, our study provides evidence that PTSD is independently associated with GFR decline in middle-aged adults with a high comorbidity burden. This association needs to be examined in larger cohorts with longer follow-ups.

Emotion regulation and combat severity differentiates PTSD diagnostic status among veterans.

OBJECTIVE: This study examined whether posttraumatic stress disorder (PTSD) diagnostic groups in veterans were differentiated by combat severity and specific avoidance and approach-related emotion regulation (ER) strategies. METHOD: In a cohort study, 725 participants (Mage = 58.39, SD = 11.27, 94.5% male, 58.2% White) recruited from VHA facilities completed the Clinician Administered PTSD Scale (CAPS), Combat Exposure Scale (CES), and Emotion Regulation Questionnaire (ERQ). Participants were categorized into three PTSD groups: Current, Remitted, and Never. RESULTS: Multinomial logistic regressions adjusting for age, sex, and race, showed combat severity significantly differentiated all groups from each other (ps < .001). Specifically, combat severity was significantly associated with increased odds of Current PTSD versus Remitted (OR: 1.02, 95% CI [1.01, 1.05]) and Never PTSD (OR: 1.14, [1.12, 1.17]) and odds of Remitted compared with Never PTSD (OR: 1.11, [1.09, 1.14]). Suppression, but not reappraisal, was significantly associated with increased odds of Current PTSD compared with Remitted (OR: 1.15, [1.06, 1.24]) and Never PTSD (OR: 1.14, [1.06, 1.22]; ps < .001). Lower reappraisal was only significantly associated with the likelihood of Remitted PTSD compared with Never PTSD (OR: 0.93, [0.88, 0.99], p = .03). CONCLUSIONS: Increasing levels of combat severity differentiated veterans with current, remitted, and no history of PTSD, suggesting screening for severity of combat may be helpful. Greater habitual suppression distinguished current versus non-current PTSD status, whereas only less reappraisal distinguished non-current groups from each other. Lower suppression may be an important treatment target for veterans with moderate and high combat severity. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Comparison of mental health outcomes of augmenting medications for patients with posttraumatic stress disorder: A national veterans affairs study.

RATIONALE: Posttraumatic stress disorder (PTSD) is highly prevalent among veterans. Many veterans with PTSD respond well to serotonin reuptake inhibitors (SRIs). Nonresponders may be prescribed augmenting medications, which are not as well-studied in PTSD. AIMS AND OBJECTIVES: We used Veterans Health Administration electronic records to compare mental health outcomes (PTSD symptoms and rates of mental health hospitalizations and psychiatric emergency room visits) in patients with PTSD who were prescribed four different groups of augmenting medications (atypical antipsychotics, mirtazapine, prazosin or tricyclic antidepressants) in addition to SRIs-from the year before to the year after the start of the augmenting medication. METHOD: We included data from 169,982 patients with a diagnosis of PTSD (excluding patients with comorbid bipolar or psychotic disorders) seen in Veterans Affairs care from 2007 to 2015 who were taking an SRI and filled a new prescription for one of the four augmenting medications for at least 60 days. RESULTS: Patients evidenced minimal (<2%) reduction in PTSD symptoms and a larger reduction in psychiatric hospitalizations and psychiatric emergency room visits after receiving augmenting medications; this effect was largely similar across the four medication groups. Initiating augmenting medications was preceded by increases in PTSD symptoms, psychiatric hospitalizations and psychiatric emergency room visits. After initiating an augmenting medication, PTSD symptoms/hospitalizations/emergency room visits returned to baseline levels (before the start of the augmenting medication), but generally did not improve beyond baseline. CONCLUSION: Importantly, these effects could be explained by regression to the mean, additional interventions or confounding. These findings should be further explored with placebo controlled randomized clinical trials.

Posttraumatic Stress Disorder (PTSD) as a Risk Factor for Cardiovascular Disease: Implications for Future Research and Clinical Care.

PURPOSE OF REVIEW: Posttraumatic stress disorder (PTSD) may be an important risk factor for cardiovascular disease (CVD). We explore the literature linking PTSD to CVD, potential mechanisms, interventions, and clinical implications. We outline gaps in current literature and highlight necessary future research. RECENT FINDINGS: PTSD has been independently associated with deleterious effects on cardiovascular health through biological, behavioral, and societal pathways. There are evidence-based psychotherapeutic interventions and pharmacotherapies for PTSD that may mitigate its impact on CVD. However, there are limited studies that rigorously analyze the impact of treating PTSD on cardiovascular outcomes. Trauma-informed CVD risk stratification, education, and treatment offer opportunities to improve patient care. These approaches can include a brief validated screening tool for PTSD identification and treatment. Pragmatic trials are needed to test PTSD interventions among people with CVD and evaluate for improved outcomes.

Posttraumatic stress disorder symptoms associated with protective and risky behaviors for coronavirus disease 2019.

OBJECTIVE: Psychiatric disorders increase risk for contracting coronavirus disease 2019 (COVID-19), but we know little about relationships between psychiatric symptoms and COVID-19 risky and protective behaviors. Posttraumatic stress disorder (PTSD) has been associated with increased propensity to engage in risky behaviors, but may also be associated with increased COVID-19 protective behaviors due to increased threat sensitivity and social isolation. METHOD: We examined associations of PTSD symptoms with COVID-19-related protective and risky behaviors using data from a cross-sectional online United States study among 845 US adults in August through September 2020. PTSD symptoms (PTSD Checklist-5), sociodemographics, COVID-19-related experiences and vulnerabilities, and past 30-day engagement in 10 protective and eight risky behaviors for COVID-19 were assessed via self-report. We examined associations between PTSD symptoms and COVID-19 protective and risky behaviors with linear regressions, adjusting for covariates. RESULTS: Probable PTSD and higher PTSD symptom severity were associated with greater engagement in protective behaviors, but also greater engagement in risky behaviors. Associations were only slightly attenuated by adjustment for COVID-19 exposures and perceived likelihood and severity of COVID-19. Associations varied by PTSD clusters: intrusions and arousal were associated with both more protective and more risky behaviors, whereas negative cognitions or mood was associated only with more risky, and avoidance only with more protective, behaviors. CONCLUSION: Higher PTSD symptoms were associated with engagement in more protective but also more risky behaviors for COVID-19. Mental health should be considered in the design of public health campaigns dedicated to limiting infectious disease spread. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Self-reported Changes in Cannabis Use Due to the COVID-19 Pandemic among US Adults.

Cannabis use may confer high COVID-19 risk. This study examined self-reported changes in cannabis use that US adults attributed to the pandemic and factors associated with any changes. We conducted a national, cross-sectional survey among US adults in August 2020. The analytic sample included 957 past-year cannabis users (Mage = 43 years old; 51% male). Weighted multinomial regression examined associations between forms and reasons of cannabis used, perceived addictiveness and safety, co-use of cannabis with tobacco/alcohol, state legalization, and the outcome (self-reported increase/decrease in cannabis use vs. no change). Overall, 14.8% reported decreasing cannabis use due to the pandemic, 16.1% reported increasing, and 65.4% reported not changing. Factors associated with increased cannabis use included past-year use of vaporized (AOR = 1.7, 95% CI = 1.0, 3.0) or edible cannabis (AOR = 2.4, CI = 1.3, 4.3), and simultaneous use of cannabis and tobacco (AOR = 2.6; CI = 1.4, 5.2). Young adults (18-29 years old) had higher odds of self-reporting both increased (AOR = 4.8; CI = 1.8, 13.1) and decreased use (AOR = 3.3; CI = 1.5, 7.5). The pandemic has had a mixed impact on cannabis use, with participants reporting both increased and decreased use. Efforts may target users of vaporized and edible cannabis, co-users of cannabis and tobacco, and young adults to prevent increased cannabis use during the pandemic.

Stress Measurement in Primary Care: Conceptual Issues, Barriers, Resources, and Recommendations for Study.

OBJECTIVE: Exposure to stressors in daily life and dysregulated stress responses are associated with increased risk for a variety of chronic mental and physical health problems, including anxiety disorders, depression, asthma, heart disease, certain cancers, and autoimmune and neurodegenerative disorders. Despite this fact, stress exposure and responses are rarely assessed in the primary care setting and infrequently targeted for disease prevention or treatment. METHOD: In this narrative review, we describe the primary reasons for this striking disjoint between the centrality of stress for promoting disease and how rarely it is assessed by summarizing the main conceptual, measurement, practical, and reimbursement issues that have made stress difficult to routinely measure in primary care. The following issues will be reviewed: a) assessment of stress in primary care, b) biobehavioral pathways linking stress and illness, c) the value of stress measurements for improving outcomes in primary care, d) barriers to measuring and managing stress, and e) key research questions relevant to stress assessment and intervention in primary care. RESULTS: On the basis of our synthesis, we suggest several approaches that can be pursued to advance this work, including feasibility and acceptability studies, cost-benefit studies, and clinical improvement studies. CONCLUSIONS: Although stress is recognized as a key contributor to chronic disease risk and mortality, additional research is needed to determine how and when instruments for assessing life stress might be useful in the primary care setting, and how stress-related data could be integrated into disease prevention and treatment strategies to reduce chronic disease burden and improve human health and well-being.

The Association Between Interpersonal Violence and Unstable Housing Among Veterans.

BACKGROUND: Despite programs to address housing for Veterans, they continue to be at high risk of unstable housing. Interpersonal violence is also highly prevalent among Veterans and may contribute to unstable housing. Our study aimed to determine whether interpersonal violence was associated with unstable housing among Veterans, and how this association was influenced by common co-occurring conditions such as substance use and mental illness. METHODS: Veterans in the Mind Your Heart Study (N = 741) completed survey data on history of interpersonal violence and access to housing in the prior year. Interpersonal violence was defined as experiencing sexual violence, physical violence, or mugging/physical attack using the Brief Trauma Questionnaire. Multivariable models examined associations between interpersonal violence and unstable housing. Primary models were adjusted for age and sex. Potential explanatory factors were added in subsequent models, including marital status, education, income, substance use disorder, PTSD, and other mental illness. RESULTS: Veterans who had experienced interpersonal violence had almost twice the odds of unstable housing after adjustment for age and sex (AOR 1.9, 95% CI 1.2-3.0). This association was attenuated in the fully adjusted model including substance use, PTSD, and other mental illness, illustrating the interdependence of these factors (AOR 1.5, 95% CI 0.91-2.5). Subtypes of interpersonal violence were individually associated with increased odds of unstable housing after adjustment for age and sex (physical abuse AOR 1.7, 95% CI 1.2-2.5; mugging/physical attack AOR 1.8, 95% CI 1.2-2.7; sexual violence AOR 1.4, 95% CI 0.89-2.2), but were no longer significant in the fully adjusted model. CONCLUSIONS: Previous experiences of interpersonal violence were associated with unstable housing among Veterans. Substance use, PTSD, and other mental illness played an important role in this relationship-highlighting the potential to improve health outcomes through trauma informed approaches that address mental health, substance use, and housing concurrently.

The Heart and Cannabis (THC) Cohort: Differences in Baseline Health and Behaviors by Cannabis Use.

BACKGROUND: Evidence on the cardiovascular health effects of cannabis use is limited. We designed a prospective cohort study of older Veterans (66 to 68 years) with coronary artery disease (CAD) to understand the cardiovascular consequences of cannabis use. We describe the cohort construction, baseline characteristics, and health behaviors that were associated with smoking cannabis. OBJECTIVE: To understand the cardiovascular consequences of cannabis use. DESIGN: We designed a prospective cohort study of older Veterans (66 to 68 years) with CAD. PARTICIPANTS: A total of 1,015 current cannabis smokers and 3,270 non-cannabis smokers with CAD. MAIN MEASURES: Using logistic regression, we examined the association of baseline variables with smoking cannabis in the past 30 days. RESULTS: The current cannabis smokers and non-current smokers were predominantly male (97.2% vs 97.1%, p=0.96). Characteristics associated with recent cannabis use in multivariable analyses included lack of a high school education (odds ratio [OR] 2.15, 95% confidence interval [CI]: 1.10 to 4.19), financial difficulty (OR 1.47, 95% CI: 1.02 to 2.11), tobacco use (OR 3.02, 95% CI: 1.66 to 5.48), current drug use (OR 2.82, 95% CI: 1.06 to 7.46), and prior drug use (OR 2.84, 95% CI: 2.11 to 3.82). In contrast, compared to individuals with 0 to 1 comorbid conditions, those with 5 chronic conditions or more (OR 0.43, 95% CI: 0.27 to 0.70) were less likely to smoke cannabis. CONCLUSIONS: In this older high-risk cohort, smoking cannabis was associated with higher social and behavioral risk, but with fewer chronic health conditions.

Implantable cardioverter-defibrillator placement among patients with left ventricular ejection fraction ≤35 % at least 40 days after acute myocardial infarction.

Background: Implantable cardioverter-defibrillators (ICDs) reduce the risk of sudden cardiac death among patients with persistently reduced (≤35 %) left ventricular ejection fraction (LVEF) at least 40 days following acute myocardial infarction (AMI). Few prior studies have used LVEF measured after the 40-day waiting period to examine primary prevention ICD placement. Methods: We sought to determine factors associated with ICD placement among patients who met LVEF criteria post-MI within a large integrated health care system in the U.S by conducting a retrospective cohort study of Veteran patients hospitalized for AMI from 2004 to 2017 who had documented LVEF ≤35 % from echocardiograms performed between 40 and 455 (90 days +1 year) days post-MI. We used multivariable logistic regression to examine factors associated with ICD placement. Results: Of 12,893 patients with LVEF ≤35 % at least 40 days post-MI, 2176 (16.9 %) received an ICD between 91- and 455-days post-MI. Younger age, fewer comorbidities, revascularization with PCI, and greater use of GDMT were associated with increased odds of receiving an ICD. However, half of patients treated with a beta-blocker, ACE inhibitor or angiotensin receptor blocker, and mineralocorticoid receptor antagonist prior to LVEF assessment did not receive an ICD. Eligible Black patients were less likely (odds ratio 0.80, 95 % confidence interval 0.69-0.92) to receive an ICD than White patients. Conclusion: Many factors affect ICD placement among Veteran patients with a confirmed LVEF ≤35 % at least 40 days post-MI. Greater understanding of factors influencing ICD placement would help clinicians ensure guideline-concordant care.

Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations.

Introduction: Approximately half of individuals with posttraumatic stress disorder (PTSD) may meet criteria for other psychiatric disorders, and PTSD symptoms are associated with diminished health and psychosocial functioning. However, few studies examine the longitudinal progression of PTSD symptoms concurrent with related symptom domains and functional outcomes, such that may neglect important longitudinal patterns of symptom progression beyond PTSD specifically. Methods: Therefore, we used longitudinal causal discovery analysis to examine the longitudinal interrelations among PTSD symptoms, depressive symptoms, substance abuse, and various other domains of functioning in five longitudinal cohorts representing veterans (n = 241), civilians seeking treatment for anxiety disorders (n = 79), civilian women seeking treatment for post-traumatic stress and substance abuse (n = 116), active duty military members assessed 0-90 days following TBI (n = 243), and civilians with a history of TBI (n = 43). Results: The analyses revealed consistent, directed associations from PTSD symptoms to depressive symptoms, independent longitudinal trajectories of substance use problems, and cascading indirect relations from PTSD symptoms to social functioning through depression as well as direct relations from PTSD symptoms to TBI outcomes. Discussion: Our findings suggest PTSD symptoms primarily drive depressive symptoms over time, tend to show independence from substance use symptoms, and may cascade into impairment in other domains. The results have implications for refining conceptualization of PTSD co-morbidity and can inform prognostic and treatment hypotheses about individuals experiencing PTSD symptoms along with co-occurring distress or impairment.

Increased Smoking Cessation Among Veterans With Large Decreases in Posttraumatic Stress Disorder Severity.

INTRODUCTION: Improvement in posttraumatic stress disorder (PTSD) is associated with better health behavior such as better medication adherence and greater use of nutrition and weight loss programs. However, it is not known if reducing PTSD severity is associated with smoking cessation, a poor health behavior common in patients with PTSD. AIMS AND METHODS: Veterans Health Affairs (VHA) medical record data (2008-2015) were used to identify patients with PTSD diagnosed in specialty care. Clinically meaningful PTSD improvement was defined as ≥20 point PTSD Checklist (PCL) decrease from the first PCL ≥50 and the last available PCL within 12 months and at least 8 weeks later. The association between clinically meaningful PTSD improvement and smoking cessation within 2 years after baseline among 449 smokers was estimated in Cox proportional hazard models. Entropy balancing controlled for confounding. RESULTS: On average, patients were 39.4 (SD = 12.9) years of age, 86.6% were male and 71.5% were white. We observed clinically meaningful PTSD improvement in 19.8% of participants. Overall, 19.4% quit smoking in year 1 and 16.6% in year 2. More patients with versus without clinically meaningful PTSD improvement stopped smoking (n = 36, cumulative incidence = 40.5% vs. 111, cumulative incidence = 30.8%, respectively). After controlling for confounding, patients with versus without clinically meaningful PTSD improvement were more likely to stop smoking within 2 years (hazard ratio = 1.57; 95% confidence interval: 1.04-2.36). CONCLUSIONS: Patients with clinically meaningful PTSD improvement were significantly more likely to stop smoking. Further research should determine if targeted interventions are needed or whether improvement in PTSD symptoms is sufficient to enable smoking cessation. IMPLICATIONS: Patients with PTSD are more likely to develop chronic health conditions such as heart disease and diabetes. Poor health behaviors, including smoking, partly explain the risk for chronic disease in this patient population. Our results demonstrate that clinically meaningful PTSD improvement is followed by greater likelihood of smoking cessation. Thus, PTSD treatment may enable healthier behaviors and reduce risk for smoking-related disease.

Clusters of COVID-19 protective and risky behaviors and their associations with pandemic, socio-demographic, and mental health factors in the United States.

Individual behaviors are critical for preventing the spread of coronavirus disease 2019 (COVID-19) infection. Given that both protective and risky behaviors influence risk of infection, it is critical that we understand how such behaviors cluster together and in whom. Using a data-driven approach, we identified clusters of COVID-19-related protective and risky behaviors and examined associations with socio-demographic, pandemic, and mental health factors. Data came from a cross-sectional online U.S. nationwide study of 832 adults with high levels of pre-pandemic trauma. Latent class analysis was performed with ten protective (e.g., washing hands, wearing masks) and eight risky (e.g., attending indoor restaurants, taking a flight) behaviors for COVID-19. Then, we examined distributions of socio-demographic and pandemic factors across behavior classes using ANOVA or Chi-square tests, and associations between mental health factors (depressive, anxiety, posttraumatic stress symptoms) and behavior classes using multinomial logistic regression. We identified four classes, including three classes with relatively low risky but high (28.8%), moderate (33.5%) and minimal (25.5%) protective behaviors and one high risky behaviors class with associated moderate protective behaviors (12.1%). Age, sexual orientation, political preference, and most pandemic factors differed significantly across behavior classes. Anxiety and posttraumatic stress symptoms, but not depression, were higher in the High Risk, but also Highly and Moderately Protective classes, relative to Minimally Protective. Prevention and intervention efforts should examine constellations of protective and risky behaviors to comprehensively understand risk, and consider current anxiety and posttraumatic stress symptoms as potential risk indicators.