1
|
Vasterling JJ, Franz MR, Lee LO, Kaiser AP, Proctor SP, Marx BP, Schnurr PP, Ko J, Concato J, Aslan M. Early predictors of chronic posttraumatic stress disorder symptom trajectories in U.S. Army soldiers deployed to the Iraq war zone. J Trauma Stress 2023; 36:955-967. [PMID: 37608526 DOI: 10.1002/jts.22964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/09/2023] [Accepted: 06/12/2023] [Indexed: 08/24/2023]
Abstract
The course of posttraumatic stress disorder (PTSD) symptoms varies among veterans of war zones, but sources of variation in long-term symptom course remain poorly understood. Modeling of symptom growth trajectories facilitates the understanding of predictors of individual outcomes over time. Although growth mixture modeling (GMM) has been applied to military populations, few studies have incorporated both predeployment and follow-up measurements over an extended time. In this prospective study, 1,087 U.S. Army soldiers with varying military occupational specialties and geographic locations were assessed before and after deployment to the Iraq war zone, with long-term follow-up assessment occurring at least 5 years after return from deployment. The primary outcome variable was the PTSD Checklist-Civilian Version summary score. GMM yielded four latent profiles, characterized as primarily asymptomatic (n = 194, 17.8%); postdeployment worsening symptoms (n = 84, 7.7%); mild symptoms (n = 320, 29.4%); and preexisting, with a chronic postdeployment elevation of symptoms (n = 489, 45.0%). Regression models comparing the primarily asymptomatic class to the symptomatic classes revealed that chronic symptom classes were associated with higher degrees of stress exposure, less predeployment social support, military reservist or veteran status at the most recent assessment, and poorer predeployment visual memory, ORs = 0.98-2.90. PTSD symptom course varies considerably over time after military deployment and is associated with potentially modifiable biopsychosocial factors that occur early in its course in addition to exposures and military status.
Collapse
Affiliation(s)
- Jennifer J Vasterling
- National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Molly R Franz
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, Maryland, USA
| | - Lewina O Lee
- National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Anica Pless Kaiser
- National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Susan P Proctor
- US Army Research Institute of Environmental Medicine, Natick, Massachusetts, USA
- Research Service, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Brian P Marx
- National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Paula P Schnurr
- National Center for PTSD, White River Junction, Vermont, USA
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - John Ko
- Clinical Epidemiology Research Center, VA Cooperative Studies Program, West Haven, Connecticut, USA
| | - John Concato
- Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Mihaela Aslan
- Clinical Epidemiology Research Center, VA Cooperative Studies Program, West Haven, Connecticut, USA
- Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| |
Collapse
|
2
|
Patterns and predictors of perinatal posttraumatic stress symptoms: A latent transition analysis. J Affect Disord 2023; 320:108-116. [PMID: 36162665 DOI: 10.1016/j.jad.2022.09.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 09/08/2022] [Accepted: 09/20/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Pregnancy is a time of increased risk for intimate partner violence (IPV), yet there is a dearth of prospective research examining the relationship between IPV and posttraumatic stress symptoms (PTSS) in the perinatal period. Further, relationships among different types of IPV and perinatal PTSS remain understudied. METHODS Latent class and transition analyses were used to examine classes of PTSS in pregnancy and postpartum, the longitudinal patterns of transitions across these classes, and the role of IPV types, childhood adversity, and depressive symptoms in PTSS presentation. Participants (N = 238) were drawn from two longitudinal studies of high-risk perinatal women. RESULTS Four latent PTSS classes emerged: High, Avoidant, Hypervigilant, and Low. Childhood adversity (χ2(3) = 13.09, p = .004), prenatal depression (χ2(3) = 17.58, p = .001), and psychological IPV (χ2(3) = 10.51, p = .01) were associated with membership in High, Avoidant, and Hypervigilant classes. Women with low prenatal PTSS continued to have low levels at postpartum. Women in higher severity classes during pregnancy tended to transition into classes with adjacent, and often lower, levels of symptom severity postpartum. Women in the High PTSS class in pregnancy with elevated levels of depression were significantly more likely to remain in the High PTSS class or transition into the Avoidant class at postpartum, compared to the Low PTSS class, χ2(3) = 11.84, p = .008. LIMITATIONS Relatively modest sample size precluded examination of a broader range of symptoms consistent with PTSD. CONCLUSIONS Findings highlight the importance of individualized approaches to assessing, monitoring, and treating perinatal PTSS.
Collapse
|
3
|
Pk Bernstein J, Milberg WP, McGlinchey RE, Fortier CB. Associations between Post-Traumatic stress disorder symptoms and automobile driving behaviors: A review of the literature. ACCIDENT; ANALYSIS AND PREVENTION 2022; 170:106648. [PMID: 35367898 PMCID: PMC9022601 DOI: 10.1016/j.aap.2022.106648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/28/2022] [Accepted: 03/25/2022] [Indexed: 06/03/2023]
Abstract
Human factors are responsible for most motor vehicle accidents that occur on the road. Recent work suggests that symptoms of posttraumatic stress disorder (PTSD) are linked to reduced driving safety, yet none have provided a comprehensive review of this small, emerging literature. The present review identified twenty-two studies reporting associations between PTSD and driving behaviors. Among these, longitudinal designs (k = 3) and studies using objective driving performance measures (e.g., simulators) (k = 2) were rare. Most studies (k = 18) relied on brief screener measures of PTSD status/symptoms or a prior chart diagnosis, while few used a standardized structured interview measure to determine PTSD status (k = 4), and only a small number of studies assessed PTSD symptom clusters (k = 7). PTSD was most frequently associated with increased rates of hostile driving behaviors (e.g., cutting off others), unintentional driving errors (e.g., lapses in attention) and negative thoughts and emotions experienced behind the wheel. Findings regarding risk of motor vehicle accident and driving-related legal issues were variable, however relatively few studies (k = 5) explored these constructs. Future directions are discussed, including the need for work focused on concurrent PTSD symptom/driving-related changes, more comprehensive PTSD and driving assessment, and consideration of the contributions of comorbid traumatic brain injury history and other neurological and psychiatric conditions on driving outcomes.
Collapse
Affiliation(s)
- John Pk Bernstein
- Translational Research Center for TBI and Stress Disorders (TRACTS) & Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston MA.
| | - William P Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS) & Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Regina E McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS) & Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Catherine B Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS) & Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| |
Collapse
|
4
|
Jung H, Lee D, Lee D. Longitudinal transitions in patterns of post-traumatic stress disorder symptoms and psychological distress among South Korean adults with traumatic experiences. Stress Health 2021; 37:871-886. [PMID: 33740290 DOI: 10.1002/smi.3046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 11/07/2022]
Abstract
This study aimed to investigate transitions in patterns of post-traumatic stress disorder (PTSD) symptoms and psychological distress among South Koreans with traumatic experiences. This study consists of two parts: In Part 1 the time since trauma ranged between 0 and 41 years, while in Part 2 participants experienced at least one traumatic event within the previous three years. We identified subgroups and transitions between classes over a one-year period using latent profile analysis and latent transition analysis. First, in Part 1, four classes were identified at T1 and T2. Second, we explored whether age, sex, time since trauma, and time perspective (TP) predicted class membership at T1. Age, past-negative (PN), present-fatalistic, and future TPs were significant predictors of class membership at T1. Finally, sex, PN, and future TPs were identified as significant predictors of class transition over time. The same analysis was conducted in Part 2 with individuals chosen from the Part 1 participants. Differential effects of TP on class membership and transitions in PTSD symptoms and psychological distress indicated the need for intervention programs that consider the TP profiles of individuals with traumatic experiences.
Collapse
Affiliation(s)
- Hayoung Jung
- Department of Education, College of Education, Sungkyunkwan University, South Korea
| | - DongHun Lee
- Department of Education, College of Education, Sungkyunkwan University, South Korea
| | - Deokhee Lee
- Department of Education, College of Education, Sungkyunkwan University, South Korea
| |
Collapse
|
5
|
Lawrence-Wood E, Baur J, Lawrence A, Forbes D, McFarlane A. The role of inhibitory processes in the relationship between subsyndromal PTSD symptoms and aggressive behaviour. J Psychiatr Res 2021; 143:357-363. [PMID: 34571320 DOI: 10.1016/j.jpsychires.2021.09.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 07/23/2021] [Accepted: 09/22/2021] [Indexed: 10/20/2022]
Abstract
The issue of aggressive behaviours among military populations is important for a number of reasons, including the potential associated occupational, social and functional impacts. Controlled aggressive behaviour is an adaptive requirement of some military roles, however, this aggression can become maladaptive when uncontrolled, or contextually inappropriate. Elevated aggression among deployed veterans has been identified in a number of studies, although the reasons for it are not well understood. Deployed populations have elevated levels of stress and trauma exposure, have higher rates of childhood and other lifetime trauma exposures and have a heightened risk for subsyndromal or full PTSD. Both trauma exposure and PTSD have been found to be associated with executive function deficits, and increased anger and aggressive behaviours. The purpose of this paper was to explore the contribution of both early PTSD symptoms and cognitive disinhibition in predicting increased aggressive behaviour following deployment in a healthy active serving cohort. After controlling for pre-deployment PTSD symptoms and cognitive function, there were significant main effects of both PTSD symptoms and cognitive function on increased aggression at post-deployment. Furthermore, the positive association between PTSD symptoms and post-deployment aggression was moderated by response inhibition deficits in the domains of false positive errors as well as faster reaction times. Subsidiary analyses showed that the effects of increased reaction time in particular increased the likelihood of PTSD symptoms being coupled with increased aggression. These findings highlight the potential effects of repeated occupational stress exposure and point to possible cognitive adaptations and long-term risk for disorder.
Collapse
Affiliation(s)
- Ellie Lawrence-Wood
- Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia; Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Jenelle Baur
- Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Andrew Lawrence
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - David Forbes
- Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alexander McFarlane
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| |
Collapse
|
6
|
Coughlin LN, Ilgen MA, Jannausch M, Walton MA, Bohnert KM. Progression of cannabis withdrawal symptoms in people using medical cannabis for chronic pain. Addiction 2021; 116:2067-2075. [PMID: 33400332 PMCID: PMC8363170 DOI: 10.1111/add.15370] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/26/2020] [Accepted: 11/30/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND AIMS Research from cohorts of individuals with recreational cannabis use indicates that cannabis withdrawal symptoms are reported by more than 40% of those using regularly. Withdrawal symptoms are not well understood in those who use cannabis for medical purposes. Therefore, we prospectively examined the stability of withdrawal symptoms in individuals using cannabis to manage chronic pain. DESIGN, SETTING, PARTICIPANTS Using latent class analysis (LCA) we examined baseline cannabis withdrawal to derive symptom profiles. Then, using latent transition analysis (LTA) we examined the longitudinal course of withdrawal symptoms across the time points. Exploratory analyses examined demographic and clinical characteristics predictive of withdrawal class and transitioning to more or fewer withdrawal symptoms over time. A cohort of 527 adults with chronic pain seeking medical cannabis certification or re-certification was recruited between February 2014 and June 2015. Participants were recruited from medical cannabis clinic waiting rooms in Michigan, USA. Participants were predominantly white (82%) and 49% identified as male, with an average age of 45.6 years (standard deviation = 12.8). MEASUREMENTS Baseline, 12-month and 24-month assessments of withdrawal symptoms using the Marijuana Withdrawal Checklist-revised. FINDINGS A three-class LCA model including a mild (41%), moderate (34%) and severe (25%) symptom class parsimoniously represented withdrawal symptoms experienced by people using medical cannabis. Stability of withdrawal symptoms using a three-class LTA at 12 and 24 months ranged from 0.58 to 0.87, with the most stability in the mild withdrawal class. Younger age predicted greater severity and worsening of withdrawal over time. CONCLUSIONS Adults with chronic pain seeking medical cannabis certification or re-certification appear to experience mild to severe withdrawal symptoms. Withdrawal symptoms tend to be stable over a 2-year period, but younger age is predictive of worse symptoms and of an escalating withdrawal trajectory.
Collapse
Affiliation(s)
- Lara N. Coughlin
- Addiction Center, Department of Psychiatry, University of Michigan
| | - Mark A. Ilgen
- Addiction Center, Department of Psychiatry, University of Michigan,VA Center for Clinical Management Research, VA Ann Arbor Healthcare System
| | - Mary Jannausch
- Addiction Center, Department of Psychiatry, University of Michigan,VA Center for Clinical Management Research, VA Ann Arbor Healthcare System
| | - Maureen A. Walton
- Addiction Center, Department of Psychiatry, University of Michigan,Injury Prevention Center, University of Michigan
| | - Kipling M. Bohnert
- Addiction Center, Department of Psychiatry, University of Michigan,VA Center for Clinical Management Research, VA Ann Arbor Healthcare System,Department of Epidemiology and Biostatistics, Michigan State University
| |
Collapse
|
7
|
Zhou X, Gao M, Wang W, Wu X. Patterns of posttraumatic stress disorder symptoms among cancer patients: A latent profile analysis. J Psychosom Res 2019; 125:109788. [PMID: 31421322 DOI: 10.1016/j.jpsychores.2019.109788] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Revised: 07/22/2019] [Accepted: 07/23/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVE It has been documented that posttraumatic stress disorder symptoms (PTSS) in traumatized individuals have naturally heterogeneous characteristics; studies have recently begun to assess the specific heterogeneous patterns of PTSS. However, most of them used the DSM-IV criteria for PTSS and focused on victims following combat, interpersonal violence, and natural disasters, with no studies focusing on cancer patients. To extend the existing literature and fill the gaps in previous studies, this study aims to examine the specific patterns of PTSS and their predictors. METHOD One hundred and ninety-one cancer patients were selected to complete self-reported questionnaires; the data analysis involved latent profile analysis and multinomial logistic regression. RESULTS Three patterns of PTSS were found: the non-symptom group (n = 29, 15.3%), the hyperarousal symptoms group (n = 84, 44.2%), and the severe PTSS group (n = 77, 40.5%). In addition, a longer elapsed time since diagnosis was related to fewer hyperarousal symptoms [OR (95%CI) = 0.98 (0.95-1.00)] and severe PTSS [OR (95%CI) = 0.98 (0.95-1.00)]; a greater fear of cancer recurrence was related to more hyperarousal symptoms [OR (95%CI) = 1.09 (1.00-1.19)] and severe PTSS [OR (95%CI) = 1.32 (1.18-1.47)]; and individuals with higher household incomes [OR (95%CI) = 1.65 (0.96-2.84)] and female patients [OR (95%CI) = 0.37 (0.16-0.87)] had more severe PTSS. CONCLUSIONS Cancer patients exhibited heterogeneous PTSS patterns.
Collapse
Affiliation(s)
- Xiao Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 310028, China
| | - Mengqi Gao
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Wenchao Wang
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Xinchun Wu
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China.
| |
Collapse
|