Skip to main content
BMC Psychiatry logoLink to BMC Psychiatry
. 2018 Feb 17;18:48. doi: 10.1186/s12888-018-1590-5

Factors associated with persistent posttraumatic stress disorder among U.S. military service members and veterans

Richard F Armenta 1,2,, Toni Rush 3, Cynthia A LeardMann 1,2, Jeffrey Millegan 4, Adam Cooper 1, Charles W Hoge 5; for the Millennium Cohort Study team
PMCID: PMC5816529  PMID: 29452590

Abstract

Background

Posttraumatic stress disorder (PTSD) can have long-term and far-reaching impacts on health and social and occupational functioning. This study examined factors associated with persistent PTSD among U.S. service members and veterans.

Methods

Using baseline and follow-up (2001–2013) questionnaire data collected approximately every 3 years from the Millennium Cohort Study, multivariable logistic regression was conducted to determine factors associated with persistent PTSD. Participants included those who screened positive for PTSD using the PTSD Checklist–Civilian Version at baseline (N = 2409). Participants were classified as having remitted or persistent PTSD based on screening negative or positive, respectively, at follow-up.

Results

Almost half of participants (N = 1132; 47%) met criteria for persistent PTSD at the first follow-up; of those, 804 (71%) also screened positive for PTSD at the second follow-up. Multiple factors were independently associated with persistent PTSD in an adjusted model at the first follow-up, including older age, deployment with high combat exposure, enlisted rank, initial PTSD severity, depression, history of physical assault, disabling injury/illness, and somatic symptoms. Among those with persistent PTSD at the first follow-up, additional factors of less sleep, separation from the military, and lack of social support were associated with persistent PTSD at the second follow-up.

Conclusions

Combat experiences and PTSD severity were the most salient risk factors for persistent PTSD. Comorbid conditions, including injury/illness, somatic symptoms, and sleep problems, also played a significant role and should be addressed during treatment. The high percentage of participants with persistent PTSD supports the need for more comprehensive and accessible treatment, especially after separation from the military.

Keywords: Post-traumatic stress disorder, PTSD, Military, Combat, Veterans

Background

Posttraumatic stress disorder (PTSD) is one of the most common health conditions among U.S. service members, with an estimated prevalence between 5% and 20% among the 2.7 million who have deployed to Iraq and Afghanistan since 2001, depending primarily on level of combat exposure [1, 2]. PTSD has been associated with a nearly 200% increase in hospitalizations among active duty service members between 2006 and 2012, and is a leading diagnosis in Department of Veterans Affairs medical settings [3]. However, these statistics underestimate the impact of PTSD since many service members in need of treatment do not seek care [1].

The course of PTSD varies, but symptoms can become persistent and last years or even a lifetime [47]. Persistent PTSD has been associated with long-term neurobiological changes and comorbidities that can have profound effects on physical and mental health functioning [811]. These changes may affect the person’s psychological, behavioral, and physical health [1214], decreasing one’s quality of life and manifesting in the form of increased rates of cardiovascular disease [12, 15], hypertension, obesity [12, 16], immune-mediated disorders [17], and mortality. In addition, PTSD often co-occurs with depression, anxiety, and substance abuse [1, 18], all of which have been linked to suicidal behaviors [19]. As a direct effect of PTSD or an indirect result of comorbid health effects, important social interactions involving intimate relationships, such as marriage, are also often negatively affected, leading to decreased support and further worsening of symptoms [20]. Ongoing PTSD has been associated with increased disability, decreased productivity, and decreased fitness, thereby limiting one’s ability to continue to serve in the military or function in other occupational settings [21]. The longer PTSD remains untreated, the greater the probability that this stress-related disorder will lead to a health complication [22]. Therefore, understanding the mechanisms related to the persistence of PTSD symptoms is critical to the life and well-being of service members, veterans, and their families.

Limited research has examined factors associated with persistent PTSD among U.S. veterans of the Vietnam conflict [2325] and World War II [26], as well as British veterans of the recent Iraq conflict [27]. In these studies, combat severity was associated with higher occurrence of PTSD and persistence of symptoms [2326]. Other notable factors associated with persistent PTSD included lack of social support [23, 26, 27], preexisting depression [24], and reporting of multiple physical symptoms [13, 27]. Other studies have found that PTSD symptoms may continue to increase over time [4]. Studies that are more comprehensive involving U.S. cohorts and a more comprehensive range of potential risk and protective factors are lacking. Understanding the broad interactions of various risk factors in the development of persistent PTSD among U.S. military personnel is essential to providing specialized multidisciplinary treatment for service members and veterans.

This study is the first, to our knowledge, to prospectively assess persistent PTSD symptoms among U.S. military personnel serving since the start of operations in Iraq and Afghanistan. The primary objective of this study was to estimate rates of persistent PTSD and identify factors associated with persistent symptoms among participants in the Millennium Cohort Study, a large cohort study of service members and veterans from all service branches and components [28, 29].

Method

Launched in 2001, the Millennium Cohort Study was designed to examine the impact and long-term health effects associated with military service. Between 2001 and 2013, four separate groups of service members, referred to as panels, were enrolled. Participants were randomly selected from U.S. military personnel and asked to complete a comprehensive web-based or paper survey approximately every 3 years. A detailed description of the Millennium Cohort Study methodology has been published elsewhere [28, 29].

The present study included Millennium Cohort participants who enrolled in the first or second panel. Participants must have completed at least two questionnaires, the 2004–2006 and 2007–2008 surveys, approximately 3 years apart (N = 63,589). Data from the 2004–2006 survey cycle and 2007–2008 survey cycle are referred to as “baseline” and “first follow-up,” respectively, for the purposes of this paper. To be eligible for this analysis, participants must have screened positive for PTSD at baseline (N = 2992). After excluding those with missing data for the key outcome or predictor variables, the study population between baseline and the first follow-up included 2409 individuals (80.5% of the eligible sample). In addition, participants who screened positive for PTSD at first follow-up had complete data for the covariates of interest, and those who had follow-up data at the subsequent 2011–2013 survey cycle (N = 822) were assessed for persistent PTSD at the “second follow-up.”

Outcome

PTSD was assessed using the PTSD Checklist–Civilian Version (PCL-C), a 17-item measure that asks participants to self-report the severity of each item in the past month. PCL-C responses are scored with a 5-point Likert scale ranging from 1 (“not at all”) to 5 (“extremely”), with a possible total score of 17 to 85. Based on the DSM-IV-TR, participants screened positive for PTSD if they reported a moderate or higher level (scoring ≥3) for at least one intrusion, at least three avoidance, and at least two hyperarousal symptoms [30]. This DSM-IV-TR criterion for scoring the PCL-C has been shown to correspond to a total cutoff of 44 in military personnel, a sufficiently high threshold for estimating prevalence in a population study [31, 32]. Participants who met these criteria at follow-up were defined as having persistent PTSD, and those who no longer screened positive were defined as having remitted. A continuous PTSD severity score at baseline was also included in analyses to determine whether those with higher initial PTSD scores were more likely to have persistent PTSD. PTSD severity scores were modeled as a 10 point change based on the standard deviation and what might be considered a clinically relevant change in scores.

Covariates

Demographic and military characteristics were obtained at baseline from personnel files from the Defense Manpower Data Center and included sex, birth cohort, race/ethnicity, marital status, educational level, service branch, military component, pay grade, military separation, and military occupation. All other covariates, with the exception of deployment, were measured at baseline for the first analysis (i.e., persistent PTSD assessed at the first follow-up) and at the first follow-up for the second analysis (i.e., persistent PTSD assessed at the second follow-up).

Deployment experience in support of the operations in Iraq and Afghanistan prior to the first follow-up was determined using Department of Defense electronic military records. Combat experiences were assessed at the first follow-up using a 12-item modified version of the Walter Reed Combat Experiences Scale (e.g., being attacked or ambushed, seeing dead bodies, knowing someone seriously injured or killed), with an aggregate score of 1–12 representing more variation in type of combat experiences. Deployment and combat experience/severity were combined into one variable with five categories reflecting no deployment, deployment without combat, and deployment with low combat (score, 1–3), medium combat (score, 4–10), and high combat (score, > 10), using methods similar to prior studies [1].

Depression was assessed by self-reporting “ever” being diagnosed with depression by a medical professional or screening positive on the 8-item Primary Care Evaluation of Mental Disorders Patient Health Questionnaire depression scale (PHQ-8) [33]. Based on DSM-IV-TR criteria, participants screened positive for depression if they met the following criteria: responded “more than half the days” or “nearly every day” to at least 5 of the 8 items, in which one of the endorsed items was a depressed mood or anhedonia. Participants were also asked if they had ever been diagnosed with manic disorder or schizophrenia, or had been prescribed a medication to treat anxiety, panic, or depression.

Functional physical health was assessed using the physical component summary score derived from the Medical Outcomes Study Short Form 36-Item Health Survey for Veterans [34]. Continuous scores, in which higher scores represent better health, were collapsed into three categories; consistent with previous methodology, “low” and “high” represented scores below the 15th percentile and above the 85th percentile, respectively [35]. Multiple physical symptoms were assessed using the 15-items from the Patient Health Questionnaire (PHQ-15) [36]. The first 13 items are rated on a 0 (“not bothered at all”) to 2 (“bothered a lot”) scale for the past month; the remaining two items, sleeping trouble and fatigue, are rated on a 0 to 3 scale for the past 2 weeks and were adapted to the 0 to 2 response scale using the validated approach of Kroenke et al. [36]. Scores were summed, and a cutoff score of 15 was used to indicate impairment. A score of ≥15 has been shown to be significantly associated with increased impairment and higher utilization of health care services, and has been used in other military studies [13].

Behavioral characteristics (e.g., body mass index [BMI], sleep, tobacco use, alcohol use) were based on self-reported data assessed at baseline. BMI was categorized as underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥ 30 kg/m2); underweight and normal weight were combined due to low numbers of underweight individuals. Sleep duration was categorized into three groups: < 4 h, 4–6 h, and > 6 h. Tobacco use was categorized as current smoker, past smoker, and nonsmoker, and based on questions about ever smoking 100 cigarettes, current smoking, and successfully quitting smoking. Alcohol-related problems were assessed using the five PHQ items and based on one or more affirmative responses [37]. Social support was measured by how much participants reported being bothered by “having no one to turn to when they have a problem” in the last 4 weeks, and dichotomized to “not bothered at all/bothered a little” and “bothered a lot.” Each stressful life experience was assessed as a binary variable based on endorsement of divorce, financial problems, physical assault, sexual assault, illness or death of a loved one, and personal disabling illness or injury. This study was approved by the Institutional Review Board at the Naval Health Research Center and all participants provided voluntary written informed consent.

Statistical analysis

Descriptive analyses and chi-square tests were used to compare demographic, behavioral, and military characteristics by PTSD persistence. Bivariate logistic regression was conducted to determine factors associated with persistent PTSD. Multivariable logistic regression models, for both the first and second follow-ups, were derived using a backwards elimination process that initially included all variables associated with PTSD in the unadjusted models (p < 0.20) [38, 39]. Factors were manually removed sequentially until the final model included only those that were significantly associated with PTSD (p < 0.05) or confounded the relationship between any covariate and PTSD by >10% [40]. Collinearity was assessed using variance inflation factors and condition indices. All analyses were conducted using SAS software, version 9.3 (SAS Institute Inc., Cary, N.C.).

Results

Of the 2409 service member participants who met criteria for PTSD at baseline, the mean age was 32.2 years (SD = 10.2), 65% were male, and 71% were non-Hispanic white. 49% of the sample deployed between 2001 and the first follow-up visit; of those, 90% reported experiencing combat.

Overall, 1123 (47%) service members had persistent PTSD at the first follow-up (2007–2008). In bivariate analyses (Table 1), numerous characteristics were significantly associated (all p < 0.05) with persistent PTSD, including birth year prior to 1960 (vs. 1980 or later), lower educational level, being married, being in the Army or Marine Corps, having an enlisted pay grade, having a history of deployment with moderate to severe combat, reporting greater PTSD severity at baseline, presence of another mental health condition (i.e., depression, manic disorder, schizophrenia), use of psychotropic medication, higher BMI (i.e., obese), lower physical functioning, screening positive for multiple physical symptoms, short sleep duration (≤ 4 h), being a current smoker, and history of stressful experiences (e.g., sexual assault, divorce, physical assault, disabling illness or injury).

Table 1.

Frequencies and Unadjusted Odds Ratios of Characteristics Measured in 2004–2006 by Persistent PTSD at the First Follow-Up for Millennium Cohort Participants (N = 2409)

Variables Persistent PTSD
No (N = 1286) Yes (N = 1123) OR 95% CI
Demographics Number Percent Number Percent
Sex
 Male 823 64.0 742 66.1 1.0
 Female 463 36.2 381 33.9 0.91 0.77–1.08
Birth year*
 Prior to 1960 145 11.3 172 15.3 1.60 1.23–2.10
 1960–1969 326 25.4 286 25.5 1.19 0.95–1.48
 1970–1979 419 32.6 372 33.1 1.20 0.98–1.47
 1980 or later 396 30.8 293 26.1 1.0
Education*
 Some college or less 1019 79.2 936 83.3 1.0
 Bachelor’s degree or higher 267 20.8 187 16.7 0.76 0.62–0.94
Race/ethnicity
 Non-Hispanic White 928 72.2 781 69.5 1.0
 Non-Hispanic Black 132 10.3 146 13.0 1.31 1.02–1.69
 Other 226 17.6 196 17.5 1.03 0.83–1.28
Marital status*
 Never married 532 41.4 403 35.9 1.0
 Married 615 47.8 587 52.3 1.26 1.06–1.50
 Other 139 10.8 133 11.8 1.26 0.96–1.66
Military Characteristics
Service branch*
 Army 753 58.6 722 64.3 1.44 1.14–1.81
 Navy/Coast Guard 216 16.9 162 14.4 1.12 0.84–1.51
 Marine Corps 95 7.4 91 8.1 1.44 1.01–2.05
 Air Force 222 17.3 148 13.2 1.0
Service component
 Active duty 656 51.0 6594 52.9 1.08 0.92–1.27
 Reserve/National Guard 630 49.0 529 47.1 1.0
Pay grade*
 E1–E4 607 46.2 556 49.5 1.66 1.27–2.17
 E5–E9 496 38.6 466 41.5 1.70 1.29–2.24
 Officer 183 14.2 101 9.0 1.0
Military separation
 No 1038 80.7 877 78.1 1.0
 Yes 248 19.3 246 21.9 1.17 0.96–1.43
Military occupation
 Combat 231 18.0 217 19.3 0.96 0.73–1.35
 Health care 133 10.3 126 11.2 1.0
 Other 922 71.7 780 69.5 0.89 0.69–1.16
Deployment experiencea,*
 Nondeployed 675 52.5 555 61.4 1.0
 Deployed without combat 91 7.1 28 5.2 0.34 0.22–0.54
 Deployed, low combat 162 12.6 73 6.5 0.55 0.41–0.74
 Deployed, moderate combat 320 24.9 369 32.9 1.41 1.17–1.70
 Deployed, high combat 38 2.9 98 8.7 3.13 2.12–4.63
Medical Characteristics
PTSD severity at baseline (mean, SD per 10-point change in score)b,* 50.8 9.7 57.6 11.3 1.84 1.70–2.01
Depressionc,*
 No 538 41.8 277 24.7 1.0
 Yes 748 58.2 846 75.3 2.20 1.84–2.62
Manic*
 No 1238 96.3 1025 91.3 1.0
 Yes 48 3.7 98 8.7 2.47 1.73–3.52
Schizophrenia*
 No 1271 98.8 1090 97.1 1.0
 Yes 15 1.2 33 2.9 2.56 1.39–4.75
Psychotropic medicationd,*
 No 1024 79.6 767 68.3 1.0
 Yes 262 20.4 356 31.7 1.81 1.51–2.18
BMI categoriese,*
 Under/normal weight 457 35.5 365 32.5 1.0
 Overweight 582 45.3 486 43.3 1.04 0.87–1.26
 Obese 247 19.2 272 24.2 1.38 1.11–1.72
Physical component score*
 Low 148 11.5 229 20.4 1.0
 Mid 907 70.5 760 67.7 0.54 0.43–0.68
 High 231 18.0 134 11.9 0.37 0.28–0.50
Multiple somatic symptoms score*
  < 15 1079 83.9 778 69.3 1.0
  ≥ 15 207 16.1 345 30.7 2.31 1.90–2.81
Behavioral Characteristics
Sleep duration*
  < 4 h/day 230 17.9 310 27.6 1.41 1.11–1.78
 4–6 h/day 358 27.8 368 23.9 1.15 0.82–1.61
  > 6 h/day 698 54.3 545 48.5 1.0
Smoking*
 Past smoker/nonsmoker 934 72.6 778 69.2 1.0
 Current smoker 352 27.4 3345 30.7 1.17 0.98–1.40
Alcohol-related problems
 No 960 74.6 826 73.5 1.0
 Yes 326 25.4 297 26.5 1.06 0.88–1.27
Stressful Experiences
Divorced*
 No 778 60.5 600 53.4 1.0
 Yes 508 39.5 523 46.6 1.33 1.14–1.57
Financial problems*
 No 923 71.8 765 68.1 1.0
 Yes 363 28.2 358 31.9 1.19 1.00–1.42
Sexual assault*
 None 893 69.4 722 64.3 1.0
 Harassment 158 12.3 149 13.3 1.17 0.91–1.49
 Assault 235 18.3 252 22.4 1.33 1.08–1.62
Physical assault*
 No 1032 80.3 791 70.4 1.0
 Yes 254 19.7 332 29.6 1.70 1.41–2.06
Ill/Death of a loved one*
 No 326 25.3 229 20.4 1.0
 Yes 960 74.7 894 79.6 1.33 1.09–1.61
Disabling illness/injury*
 No 989 76.9 725 64.6 1.0
 Yes 297 23.1 398 35.4 1.82 1.53–2.19

BMI =body mass index, CI =confidence interval, OR =odds ratio, PHQ =Patient Health Questionnaire, PTSD =posttraumatic stress disorder

aDeployments include those which occurred prior to the 2007 survey date and were in support of operations in Iraq and Afghanistan

bPTSD severity at baseline was included as a continuous variable to adjust for varying PTSD scores. Results were modeled using a 10 point change in the severity score based on the standard deviation and what would be considered a clinically relevant change the PTSD score

cDepression includes diagnosis by a medical professional or screening positive on the PHQ-9

dEndorsed “yes” to survey question, “Are you currently taking any medicine for anxiety, depression, or stress?”

eBMI categories: under/normal weight (≤24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30 kg/m2)

*Variable significant at p < 0.20 using chi-square testing

In the final multivariable model (Table 2), factors that remained significantly associated with persistent PTSD at the first follow-up period (2007–2008) included older age, enlisted pay grade (with junior enlisted pay grade having highest odds), deployment with moderate or higher combat experiences, higher baseline PCL-C score, multiple physical symptoms (PHQ-15 score ≥ 15), depression, prior experience of physical assault, or disabling injury/illness. High combat exposure (OR = 3.91) and severity of PTSD symptoms at baseline (OR = 1.59 for each 10-point increment on the PCL) were the strongest risk factors for persistent PTSD.

Table 2.

Multivariable Regression Analysis of Predictors of Persistent PTSD at the First (2007–2008) and Second Follow-Ups (2011–2013)

First Follow-Up
(N = 2409)
(47% With Persistent PTSD)
Second Follow-Up
(N = 822)
(71.2% With Persistent PTSD)
Characteristic* OR 95% CI OR 95% CI
Birth year
 Prior to 1960 2.34 1.68–3.54 2.68 1.53–4.68
 1960–1969 1.71 1.25–2.36 2.11 1.32–3.36
 1970–1979 1.42 1.11–1.83 1.40 0.91–2.14
 1980 or later 1.00 1.00
Pay grade
 Junior enlisted (E1–E4) 2.10 1.50–2.93
 Senior enlisted (E5–E9) 1.68 1.25–2.27
 Officer 1.00
Deployment experiencea
 Nondeployed 1.00 1.00
 Deployed without combat 0.56 0.36–0.90 0.91 0.33–2.51
 Deployed, low combat 0.73 0.53–1.00 1.77 0.90–3.50
 Deployed, moderate combat 1.72 1.39–2.12 1.44 0.98–2.12
 Deployed, high combat 3.91 2.56–5.96 2.63 1.27–5.42
PTSD severity at baselineb
 Per 10 point change in score 1.59 1.45–1.74 1.23 1.06–1.43
Multiple somatic symptoms score
  < 15 1.00
  ≥ 15 1.47 1.18–1.83
Depressionc
 No 1.00 1.00
 Yes 1.50 1.23–1.83 2.33 1.63–3.33
Physical assault
 No 1.00
 Yes 1.25 1.01–1.54
Sleep duration
  < 4 h per day 1.75 1.15–2.69
 4–6 h per day 1.08 0.74–1.58
  > 6 h per day 1.00
Separation from military
 No 1.00
 Yes 1.57 1.12–2.21
Social support
 Not bothered/bothered a little 1.00
 Bothered a lot 1.51 1.09–2.10
Disabling injury/illness
 No 1.00
 Yes 1.35 1.11–1.66

CI =confidence interval, OR =odds ratio, PHQ =Patient Health Questionnaire, PTSD =posttraumatic stress disorder

aDeployments include those which occurred any time prior to the 2007 survey date and were in support of operations in Iraq and Afghanistan

bPTSD severity at baseline was included as a continuous variable to adjust for varying PTSD scores. Results were modeled using a 10 point change in the severity score based on the standard deviation and what would be considered a clinically relevant change the PTSD score

cDepression includes diagnosis by a medical professional or screening positive on the PHQ-9

*All variables with OR and 95% CI are significant at the alpha < 0.05 level

Of the 1792 participants who screened positive for PTSD at baseline and had available data from the three survey cycles, 592 (33.0%) screened positive for PTSD on both follow-up questionnaires. Among those who screened positive for PTSD at the first follow-up and had available data at the second follow-up (N = 822), 585 (71.2%) continued to screen positive at the second follow-up visit. In addition to many of the aforementioned factors associated with persistent PTSD, separation from the military, sleeping less than 4 h per night, and lack of social support were associated with persistence of PTSD at the second follow-up (Table 2).

Discussion

PTSD is one of the most common disabling disorders among U.S. service members and veterans, and it often becomes a chronic condition. In this study, we found that 47% of those who screened positive for PTSD at baseline were still positive for PTSD at follow-up approximately 3 years later; of those, over 70% remained positive for PTSD at the second follow-up approximately 6 years later.

Results from this study indicate that the intensity of combat exposure during the recent operations in Iraq and Afghanistan is a strong risk factors for persistent PTSD. This finding is consistent with other research that suggests combat exposure, compared with other types of trauma, confers a uniquely high risk of persistent PTSD, with strong linear associations related to combat intensity [2, 27, 41, 42]. Conversely, individuals who deployed without experiencing combat were more likely to screen negative for PTSD at follow-up compared with those who did not deploy. This protective association among non-combat deployers is likely due to the well-known healthy warrior effect, in which healthier service members are more likely to deploy than service members experiencing medical problems [43].

In addition to combat intensity, a number of other important risk factors for PTSD chronicity were identified, in particular indicators of psychological or physical health comorbidities. Not surprisingly, PTSD severity at baseline was strongly associated with persistence of symptoms. However, even after adjusting for PTSD severity and other variables, comorbid health conditions, which are common among those with PTSD, still emerged as important and independent risk factors of persistent PTSD. These findings indicate that those with comorbid conditions, such as depression or multiple physical symptoms, may be different in some ways than those with the single condition of PTSD. These comorbid conditions a may lead to increased dysregulation of neuroendocrine and autonomic nervous system or interoceptive functions. These comorbid conditions could also be linked to pain perception changes or physical symptoms acting as reminders of the traumatic event, either directly from injury that occurred as part of the trauma or indirectly through physiological mechanisms associated with bodily sensations [44]. For these and other reasons, it may be more difficult to effectively treat and care for individuals with PTSD who have other additional conditions.

One notable finding was that participants who reported sleeping less than 4 h per night at the first follow-up survey were more likely to screen positive for PTSD at the second follow-up, suggesting that sleep is an important predictor of long-term persistent PTSD. Sleep problems are common among service members who have deployed, independent of PTSD, and research has shown that those who develop disruptions in normal sleep patterns after a traumatic event are more likely to develop PTSD [45]. Additionally, sleep problems may result from the PTSD symptoms themselves, such as hypervigilance and recurrent nightmares. Sleep problems are also associated with comorbid conditions. Given these multiple interrelated health associations, treatment of persistent PTSD symptoms may include comprehensive approaches that address comorbid physical health problems, chronic pain, and sleep problems [44, 46].

An important aspect of PTSD treatment is having adequate social support. We found that being bothered a lot by not having someone to turn to was associated with persistent PTSD at the second follow-up. Research shows that social relationships can help with treatment compliance, coping with intrusive symptoms, and sharing feelings and thoughts that are experienced with PTSD. Social support both during and following deployment has been shown to be associated with lower PTSD severity [47]. Additionally, separation or retiring from the military was associated with persistent PTSD between the first and second follow-up visits, which may also relate in part to changes in social relationships after transitioning from the military. It is also likely that persistent PTSD itself led to medical discharge from the military for some study participants [48].

Participants born before 1980 were more likely to have persistent PTSD. Military studies have generally observed that the risk of PTSD is highest in younger age groups; however, when examining persistence or chronicity, studies have more often shown an association with older age [27, 49]. Studies among aging war veterans and Holocaust survivors have reported that PTSD severity increases in older trauma survivors [49].

We did not find an association between reported history of sexual trauma and persistent PTSD in adjusted models, though there was an association in unadjusted models. Sexual assault has been shown to be one of the most significant types of traumatic events in predicting PTSD and other mental health outcomes [50, 51]. In our analysis, the null association with sexual assault may be attributable to the small number of sexual assault cases or high correlation with other statistically significant variables such as physical assault. It is also possible that the measure of sexual assault was less than optimal and thus could have missed some cases of sexual assault or lead to misclassification. Further research to examine the role of sexual trauma in PTSD persistence is needed.

Study limitations and strengths

The results of our study must be interpreted with some limitations in mind. The study population consisted of a sample of responders to the Millennium Cohort questionnaire and may not be representative of the overall military population. However, investigations of potential biases have found the cohort to be highly representative, without evidence that participation is influenced by poor health or other key factors that would relate to health outcomes analyses [52, 53]. Self-reported survey data may be subject to recall and reporting biases; however, there was high consistency in associations between time periods. It is still possible that participants could inaccurately recall information across time periods. While the PCL-C is a screening tool for and not diagnostic of PTSD, it has strong demonstrated validity, and the associations with PCL severity found in this study were consistent with other research [31]. The follow-up period (3 years between surveys) was relatively long, and we were not able to study PTSD treatment received in military, veteran, or civilian settings by cohort participants. Thus, it was not possible to look at the trajectory of fluctuations in symptomatology over shorter periods of time, the effectiveness of treatment that may have been received, or other factors related to service utilization, such as receiving medical disability for PTSD or related health conditions. We did not assess lifetime or childhood trauma history, which may increase the risk of persistent PTSD; this should be included in future studies. Our assessment of social support was limited to one item, thus further studies should include a more comprehensive measure of social support to better understand how it is associated with persistent PTSD. Finally, 19.5% of participants were excluded due to missing data. In examining those with missing data compared to those with no missing data for all covariates we found that only three (sex, birth cohort, and race/ethnicity) were statistically different, albeit the differences were less than 5%. Further, In a bivariate sensitivity analysis using all data available for race, sex, and birth cohort there were no significant differences in associations with persistent PTSD when compared with bivariate analysis using only observations with complete data (data not shown). These additional analyses indicated that the missingness likely did not impact the results.

Despite these limitations, this study has many notable strengths. To our knowledge, this is the first study to longitudinally examine persistent PTSD among a large cohort of U.S. service members and veterans. The sampling method was population based and represents all service branches. The study methodology using the PCL-C allowed for the detection of individuals suffering from PTSD who may not seek care [1]. Finally, due to the prospective and comprehensive nature of the survey, we were able to examine multiple risk factors.

Conclusions

Understanding correlates of PTSD chronicity is critical to the long-term health and well-being of service members and veterans. Almost half of participants who screened positive for PTSD at baseline had persistent PTSD at the first-follow-up; among those, over two thirds had persistent PTSD at the second follow-up. Given the large number of factors associated with PTSD persistence, our study highlights the importance of holistic collaborative care models that address complex interrelated comorbid health conditions, including depression, generalized physical symptoms, and sleep problems [32].

Acknowledgements

In addition to the authors, Millennium Cohort Study team includes Valerie Stander, PhD; Gia Gumbs, MPH; Steven Speigle; Cynthia LeardMann, MPH; Gordon Lynch; Beverly Sheppard; Lauren Bauer, MPH; Chris Phillips, MD, MPH; William Lee; Jennifer Walstrom; Daniel Trone, PhD; Anna Rivera, MPH; Denise Lovec-Jenkins; Ben Porter, PhD; Anet Petrosyan; Rudolph Rull, PhD; Anna Bukowinski, MPH; Teresa Powell, MS; Danielle Mitchell, MPH; Evelyn Sun, MPH; Jacqueline Pflieger, PhD; Deborah Bookwalter, ScD; Richard Armenta, PhD; Toni Geronimo, MPH; Claire Kolaja, MPH; Kyna Long, MS; Isabel Jacobson, MPH; Alejandro Esquivel; Rayna Matsuno, PhD; Dennis Faix, MD, MPH; Carlos Carballo, MA; Satbir Boparai, MBA; Kelly Woodall, MPH; Chiping Nieh, PhD. The authors also thank the professionals from the US Army Medical Research and Materiel Command, especially those from the Military Operational Medicine Research Program, Fort Detrick, Maryland, Scott L. Seggerman from the Management Information Division, Defense Manpower Data Center, and the Millennium Cohort Study participants.

Funding

The Millennium Cohort Study is funded through the Military Operational Medicine Research Program, United States Army Medical Research and Materiel Command (Fort Detrick, Maryland).

Availability of data and materials

The datasets analyzed during the current study are not publicly available due institutional regulations protecting service member survey responses but are available from the corresponding author on reasonable request (may require data use agreements to be developed).

Disclaimer

I am a military service member (or employee of the U.S. Government). This work was prepared as part of my official duties. Title 17, U.S.C. §105 provides the “Copyright protection under this title is not available for any work of the United States Government.” Title 17, USC, §101 defines a U.S. Government work as work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.

Report No. 17–39 was supported by the Military Operational Medicine Research Program under work unit no. 60002. The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Department of the Navy, Department of the Army, Department of the Air Force, Department of Veterans Affairs, Department of Defense, or the U.S. Government. Approved for public release; distribution unlimited. Human subjects participated in this study after giving their free and informed consent. This research has been conducted in compliance with all applicable federal regulations governing the protection of human subjects in research (NHRC.2000.0007).

Authors’ contributions

RFA helped conceptualize the manuscript, conducted the statistical analysis, drafted the manuscript, and completed final edits of the manuscript. TR helped conceptualize the manuscript, assisted with data analysis, and provided critical review of the manuscript. CAL, JM, and CWH provided subject matter expertise, and critically revised the manuscript. AC helped draft the manuscript and provided critical review of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the Institutional Review Board at the Naval Health Research Center and all participants provided voluntary written informed consent.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Hoge CW, Castro CA, Messer SC, McGurk D, Cotting DI, Koffman RL. Combat duty in Iraq and Afghanistan, mental health problems, and barriers to care. N Engl J Med. 2004;351(1):13–22. doi: 10.1056/NEJMoa040603. [DOI] [PubMed] [Google Scholar]
  • 2.Kok BC, Herrell RK, Thomas JL, Hoge CW. Posttraumatic stress disorder associated with combat service in Iraq or Afghanistan: reconciling prevalence differences between studies. J Nerv Ment Dis. 2012;200(5):444–450. doi: 10.1097/NMD.0b013e3182532312. [DOI] [PubMed] [Google Scholar]
  • 3.Armed Forces Health Surveillance Center (AFHSC) Summary of mental disorder hospitalizations, active and reserve components, U.S. armed forces, 2000–2012. MSMR. 2013;20(7):4–11. [PubMed] [Google Scholar]
  • 4.Vasterling JJ, Aslan M, Proctor SP, Ko J, Marx BP, Jakupcak M, Schnurr PP, Gleason T, Huang GD, Concato J. Longitudinal examination of posttraumatic stress disorder as a long-term outcome of Iraq war deployment. Am J Epidemiol. 2016;184:796–805. doi: 10.1093/aje/kww151. [DOI] [PubMed] [Google Scholar]
  • 5.Doron-LaMarca S, Niles BL, King DW, King LA, Pless Kaiser A, Lyons MJ. Temporal associations among chronic PTSD symptoms in US combat veterans. J Trauma Stress. 2015;28(5):410–417. doi: 10.1002/jts.22039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Marmar CR, Schlenger W, Henn-Haase C, Qian M, Purchia E, Li M, Corry N, Williams CS, Ho C-L, Horesh D. Course of posttraumatic stress disorder 40 years after the Vietnam war: findings from the National Vietnam Veterans Longitudinal Study. JAMA Psychiatry. 2015;72(9):875–881. doi: 10.1001/jamapsychiatry.2015.0803. [DOI] [PubMed] [Google Scholar]
  • 7.O'Toole BI, Catts SV, Outram S, Pierse KR, Cockburn J. The physical and mental health of Australian Vietnam veterans 3 decades after the war and its relation to military service, combat, and post-traumatic stress disorder. Am J Epidemiol. 2009;170(3):318–330. doi: 10.1093/aje/kwp146. [DOI] [PubMed] [Google Scholar]
  • 8.Heim C, Nemeroff CB. Neurobiology of posttraumatic stress disorder. CNS Spectr. 2009;14(1):13–24. [PubMed] [Google Scholar]
  • 9.Asnaani A, Reddy MK, Shea MT. The impact of PTSD symptoms on physical and mental health functioning in returning veterans. J Anxiety Disord. 2014;28(3):310–317. doi: 10.1016/j.janxdis.2014.01.005. [DOI] [PubMed] [Google Scholar]
  • 10.Goldberg J, Magruder KM, Forsberg CW, Kazis LE, Üstün TB, Friedman MJ, Litz BT, Vaccarino V, Heagerty PJ, Gleason TC. The association of PTSD with physical and mental health functioning and disability (VA cooperative study# 569: the course and consequences of posttraumatic stress disorder in Vietnam-era veteran twins) Qual Life Res. 2014;23(5):1579–1591. doi: 10.1007/s11136-013-0585-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sherin JE, Nemeroff CB. Post-traumatic stress disorder: the neurobiological impact of psychological trauma. Dialogues Clin Neurosci. 2011;13(3):263–278. doi: 10.31887/DCNS.2011.13.2/jsherin. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.McFarlane AC. The long-term costs of traumatic stress: intertwined physical and psychological consequences. World Psychiatry. 2010;9(1):3–10. doi: 10.1002/j.2051-5545.2010.tb00254.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hoge CW, Terhakopian A, Castro CA, Messer SC, Engel CC. Association of posttraumatic stress disorder with somatic symptoms, health care visits, and absenteeism among Iraq war veterans. Am J Psychiatry. 2007;164(1):150–153. doi: 10.1176/ajp.2007.164.1.150. [DOI] [PubMed] [Google Scholar]
  • 14.Pacella ML, Hruska B, Delahanty DL. The physical health consequences of PTSD and PTSD symptoms: a meta-analytic review. J Anxiety Disord. 2013;27(1):33–46. doi: 10.1016/j.janxdis.2012.08.004. [DOI] [PubMed] [Google Scholar]
  • 15.Beristianos MH, Yaffe K, Cohen B, Byers AL. PTSD and risk of incident cardiovascular disease in aging veterans. Am J Geriatr Psychiatry. 2016;24(3):192–200. doi: 10.1016/j.jagp.2014.12.003. [DOI] [PubMed] [Google Scholar]
  • 16.LeardMann CA, Woodall KA, Littman AJ, Jacobson IG, Boyko EJ, Smith B, Wells TS, Crum-Cianflone NF. Post-traumatic stress disorder predicts future weight change in the millennium cohort study. Obesity. 2015;23(4):886–892. doi: 10.1002/oby.21025. [DOI] [PubMed] [Google Scholar]
  • 17.Gupta MA. Review of somatic symptoms in post-traumatic stress disorder. Int Rev Psychiatry. 2013;25(1):86–99. doi: 10.3109/09540261.2012.736367. [DOI] [PubMed] [Google Scholar]
  • 18.Santiago PN, Wilk JE, Milliken CS, Castro CA, Engel CC, Hoge CW. Screening for alcohol misuse and alcohol-related behaviors among combat veterans. Psychiatr Serv. 2010;61(6):575–581. doi: 10.1176/ps.2010.61.6.575. [DOI] [PubMed] [Google Scholar]
  • 19.Oquendo MA, Friend JM, Halberstam B, Brodsky BS, Burke AK, Grunebaum MF, Malone KM, Mann JJ. Association of comorbid posttraumatic stress disorder and major depression with greater risk for suicidal behavior. Am J Psychiat. 2003;160(3):580–582. doi: 10.1176/appi.ajp.160.3.580. [DOI] [PubMed] [Google Scholar]
  • 20.Allen ES, Rhoades GK, Stanley SM, Markman HJ. Hitting home: relationships between recent deployment, posttraumatic stress symptoms, and marital functioning for Army couples. J Fam Psychol. 2010;24(3):280–288. doi: 10.1037/a0019405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lim D, Sanderson K, Andrews G. Lost productivity among full-time workers with mental disorders. J Ment Health Policy Econ. 2000;3(3):139–146. doi: 10.1002/mhp.93. [DOI] [PubMed] [Google Scholar]
  • 22.McEwen BS. Central effects of stress hormones in health and disease: understanding the protective and damaging effects of stress and stress mediators. Eur J Pharmacol. 2008;583(2–3):174–185. doi: 10.1016/j.ejphar.2007.11.071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Green BL, Grace MC, Lindy JD, Gleser GC, Leonard A. Risk factors for PTSD and other diagnoses in a general sample of Vietnam veterans. Am J Psychiatry. 1990;147(6):729–733. doi: 10.1176/ajp.147.6.729. [DOI] [PubMed] [Google Scholar]
  • 24.Koenen KC, Stellman JM, Stellman SD, Sommer JF., Jr Risk factors for course of posttraumatic stress disorder among Vietnam veterans: a 14-year follow-up of American legionnaires. J Consult Clin Psychol. 2003;71(6):980–986. doi: 10.1037/0022-006X.71.6.980. [DOI] [PubMed] [Google Scholar]
  • 25.Roy-Byrne P, Arguelles L, Vitek ME, Goldberg J, Keane TM, True WR, Pitman RK. Persistence and change of PTSD symptomatology--a longitudinal co-twin control analysis of the Vietnam era twin registry. Soc Psychiatry Psychiatr Epidemiol. 2004;39(9):681–685. doi: 10.1007/s00127-004-0810-0. [DOI] [PubMed] [Google Scholar]
  • 26.Jankowski MK, Schnurr PP, Adams GA, Green BL, Ford JD, Friedman MJ. A mediational model of PTSD in world war II veterans exposed to mustard gas. J Trauma Stress. 2004;17(4):303–310. doi: 10.1023/B:JOTS.0000038478.63664.5f. [DOI] [PubMed] [Google Scholar]
  • 27.Rona RJ, Jones M, Sundin J, Goodwin L, Hull L, Wessely S, Fear NT. Predicting persistent posttraumatic stress disorder (PTSD) in UK military personnel who served in Iraq: a longitudinal study. J Psychiatr Res. 2012;46(9):1191–1198. doi: 10.1016/j.jpsychires.2012.05.009. [DOI] [PubMed] [Google Scholar]
  • 28.Ryan MA, Smith TC, Smith B, Amoroso P, Boyko EJ, Gray GC, Gackstetter GD, Riddle JR, Wells TS, Gumbs G, et al. Millennium cohort: enrollment begins a 21-year contribution to understanding the impact of military service. J Clin Epidemiol. 2007;60(2):181–191. doi: 10.1016/j.jclinepi.2006.05.009. [DOI] [PubMed] [Google Scholar]
  • 29.Gray GC, Chesbrough KB, Ryan MA, Amoroso P, Boyko EJ, Gackstetter GD, Hooper TI, Riddle JR. The millennium cohort study: a 21-year prospective cohort study of 140,000 military personnel. Mil Med. 2002;167(6):483–488. [PubMed] [Google Scholar]
  • 30.Weathers F, Litz B, Herman D, Huska JA, Keane T. The PTSD checklist (PCL): reliability, validity, and diagnostic utility. San Antonio: Paper presented at: Annual Meeting of International Society for Traumatic Stress Studies; 1993. [Google Scholar]
  • 31.Terhakopian A, Sinaii N, Engel CC, Schnurr PP, Hoge CW. Estimating population prevalence of posttraumatic stress disorder: an example using the PTSD checklist. J Trauma Stress. 2008;21(3):290–300. doi: 10.1002/jts.20341. [DOI] [PubMed] [Google Scholar]
  • 32.Hoge CW. Neuropsychiatric illnesses in war veterans. In: FA KDL, Hauser SL, Longo DL, Jameson JL, Loscaizo J, editors. Harrisons textbook of medicine. 19. New York: McGraw Hill; 2015. [Google Scholar]
  • 33.Kroenke K, Strine TW, Spitzer RL, Williams JB, Berry JT, Mokdad AH. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009;114(1–3):163–173. doi: 10.1016/j.jad.2008.06.026. [DOI] [PubMed] [Google Scholar]
  • 34.Kazis LE, Lee A, Spiro Iii A, Rogers W. Measurement comparisons of the medical outcomes study and veterans SF-36® health survey. Health Care Financ Rev. 2004;25(4):43. [PMC free article] [PubMed] [Google Scholar]
  • 35.LeardMann CA, Smith TC, Smith B, Wells TS, Ryan MA. Baseline self reported functional health and vulnerability to post-traumatic stress disorder after combat deployment: prospective US military cohort study. BMJ. 2009;338:b1273. doi: 10.1136/bmj.b1273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kroenke K, Spitzer RL, Williams JB. The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosom Med. 2002;64(2):258–266. doi: 10.1097/00006842-200203000-00008. [DOI] [PubMed] [Google Scholar]
  • 37.Jacobson IG, Ryan MA, Hooper TI, Smith TC, Amoroso PJ, Boyko EJ, Gackstetter GD, Wells TS, Bell NS. Alcohol use and alcohol-related problems before and after military combat deployment. JAMA. 2008;300(6):663–675. doi: 10.1001/jama.300.6.663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993;138(11):923–936. doi: 10.1093/oxfordjournals.aje.a116813. [DOI] [PubMed] [Google Scholar]
  • 39.Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129(1):125–137. doi: 10.1093/oxfordjournals.aje.a115101. [DOI] [PubMed] [Google Scholar]
  • 40.Skelly AC, Dettori JR, Brodt ED. Assessing bias: the importance of considering confounding. Evid Based Spine Care J. 2012;3(01):9–12. doi: 10.1055/s-0031-1298595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Xue C, Ge Y, Tang B, Liu Y, Kang P, Wang M, Zhang L. A meta-analysis of risk factors for combat-related PTSD among military personnel and veterans. PLoS One. 2015;10(3):e0120270. doi: 10.1371/journal.pone.0120270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Prigerson HG, Maciejewski PK, Rosenheck RA. Combat trauma: trauma with highest risk of delayed onset and unresolved posttraumatic stress disorder symptoms, unemployment, and abuse among men. J Nerv Ment Dis. 2001;189(2):99–108. doi: 10.1097/00005053-200102000-00005. [DOI] [PubMed] [Google Scholar]
  • 43.Larson GE, Highfill-McRoy RM, Booth-Kewley S. Psychiatric diagnoses in historic and contemporary military cohorts: combat deployment and the healthy warrior effect. Am J Epidemiol. 2008;167(11):1269–1276. doi: 10.1093/aje/kwn084. [DOI] [PubMed] [Google Scholar]
  • 44.Yehuda R, Hoge CW, McFarlane AC, Vermetten E, Lanius RA, Nievergelt CM, Hobfoll SE, Koenen KC, Neylan TC, Hyman SE. Post-traumatic stress disorder. Nat Rev Dis Primers. 2015;1:15057. doi: 10.1038/nrdp.2015.57. [DOI] [PubMed] [Google Scholar]
  • 45.Gehrman P, Seelig AD, Jacobson IG, Boyko EJ, Hooper TI, Gackstetter GD, Ulmer CS, Smith TC. DTIC Document. 2013. Predeployment sleep duration and insomnia symptoms as risk factors for new-onset mental health disorders following military deployment. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Krystal JH, Pietrzak RH, Rosenheck RA, Cramer JA, Vessicchio J, Jones KM, Huang GD, Vertrees JE, Collins J, Krystal AD. Sleep disturbance in chronic military-related PTSD: clinical impact and response to adjunctive Risperidone in the veterans affairs cooperative study# 504. J Clin Psychiatry. 2016;77(4):483–491. doi: 10.4088/JCP.14m09585. [DOI] [PubMed] [Google Scholar]
  • 47.Han SC, Castro F, Lee LO, Charney ME, Marx BP, Brailey K, Proctor SP, Vasterling JJ. Military unit support, postdeployment social support, and PTSD symptoms among active duty and National Guard soldiers deployed to Iraq. J Anxiety Disord. 2014;28(5):446–453. doi: 10.1016/j.janxdis.2014.04.004. [DOI] [PubMed] [Google Scholar]
  • 48.Creamer M, Carboon I, Forbes AB, McKenzie DP, McFarlane AC, Kelsall HL, Sim MR. Psychiatric disorder and separation from military service: a 10-year retrospective study. Am J Psychiat. 2006;163:733–734. doi: 10.1176/ajp.2006.163.4.733. [DOI] [PubMed] [Google Scholar]
  • 49.Schnurr PP, Lunney CA, Sengupta A, Waelde LC. A descriptive analysis of PTSD chronicity in Vietnam veterans. J Trauma Stress. 2003;16(6):545–553. doi: 10.1023/B:JOTS.0000004077.22408.cf. [DOI] [PubMed] [Google Scholar]
  • 50.Millegan J, Milburn EK, LeardMann CA, Street AE, Williams D, Trone DW, Crum-Cianflone NF. Recent sexual trauma and adverse health and occupational outcomes among US Service women. J Trauma Stress. 2015;28(4):298–306. doi: 10.1002/jts.22028. [DOI] [PubMed] [Google Scholar]
  • 51.Millegan J, Wang L, LeardMann CA, Miletich D, Street AE. Sexual trauma and adverse health and occupational outcomes among men serving in the US military. J Trauma Stress. 2016;29:132–140. doi: 10.1002/jts.22081. [DOI] [PubMed] [Google Scholar]
  • 52.Smith B, Wingard DL, Ryan MA, Macera CA, Patterson TL, Slymen DJ. U.S. military deployment during 2001-2006: comparison of subjective and objective data sources in a large prospective health study. Ann Epidemiol. 2007;17(12):976–982. doi: 10.1016/j.annepidem.2007.07.102. [DOI] [PubMed] [Google Scholar]
  • 53.Wells TS, Jacobson IG, Smith TC, Spooner CN, Smith B, Reed RJ, Amoroso PJ, Ryan MA. Prior health care utilization as a potential determinant of enrollment in a 21-year prospective study, the millennium cohort study. Eur J Epidemiol. 2008;23(2):79–87. doi: 10.1007/s10654-007-9216-0. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets analyzed during the current study are not publicly available due institutional regulations protecting service member survey responses but are available from the corresponding author on reasonable request (may require data use agreements to be developed).


Articles from BMC Psychiatry are provided here courtesy of BMC

RESOURCES