Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T05:51:02.423Z Has data issue: false hasContentIssue false

Moral injury and peri- and post-military suicide attempts among post-9/11 veterans

Published online by Cambridge University Press:  17 January 2022

Shira Maguen*
Affiliation:
San Francisco VA Healthcare System, San Francisco, CA, USA University of California – San Francisco, San Francisco, CA, USA
Brandon J. Griffin
Affiliation:
Central Arkansas VA Healthcare System, Little Rock, AR, USA University of Arkansas for Medical Sciences, Little Rock, AR, USA
Dawne Vogt
Affiliation:
VA Boston Healthcare System, Boston, MA, USA Boston University School of Medicine, Boston, MA, USA
Claire A. Hoffmire
Affiliation:
VA Eastern Colorado Health Care System, Aurora, Colorado, USA University of Colorado School of Medicine, Aurora, Colorado, USA
John R. Blosnich
Affiliation:
University of Southern California, Los Angeles, CA, USA VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
Paul A. Bernhard
Affiliation:
Health Outcomes of Military Exposures, Epidemiology Program, Office of Patient Care Services, Veterans Health Administration, Washington, DC, USA
Fatema Z. Akhtar
Affiliation:
Health Outcomes of Military Exposures, Epidemiology Program, Office of Patient Care Services, Veterans Health Administration, Washington, DC, USA
Yasmin S. Cypel
Affiliation:
Health Outcomes of Military Exposures, Epidemiology Program, Office of Patient Care Services, Veterans Health Administration, Washington, DC, USA
Aaron I. Schneiderman
Affiliation:
Health Outcomes of Military Exposures, Epidemiology Program, Office of Patient Care Services, Veterans Health Administration, Washington, DC, USA
*
Author for correspondence: Shira Maguen, E-mail: Shira.Maguen@va.gov
Rights & Permissions [Opens in a new window]

Abstract

Background

Our goal was to examine the association between moral injury, mental health, and suicide attempts during military service and after separation by gender in post-9/11 veterans.

Methods

A nationally representative sample of 14057 veterans completed a cross-sectional survey. To examine associations of exposure to potentially morally injurious events (PMIEs; witnessing, perpetrating, and betrayal) and suicidal self-directed violence, we estimated two series of multivariable logistic regressions stratified by gender, with peri- and post-military suicide attempt as the dependent variables.

Results

PMIE exposure accounted for additional risk of suicide attempt during and after military service after controlling for demographic and military characteristics, current mental health status, and pre-military history of suicidal ideation and attempt. Men who endorsed PMIE exposure by perpetration were 50% more likely to attempt suicide during service and twice as likely to attempt suicide after separating from service. Men who endorsed betrayal were nearly twice as likely to attempt suicide during service; however, this association attenuated to non-significance after separation in the fully adjusted models. In contrast, women who endorsed betrayal were over 50% more likely to attempt suicide during service and after separation; PMIE exposure by perpetration did not significantly predict suicide attempts before or after service among women in the fully adjusted models.

Conclusions

Our findings indicate that suicide assessment and prevention programs should consider the impact of moral injury and attend to gender differences in this risk factor in order to provide the most comprehensive care.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press.
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © VA Healthcare System, 2022

Preventing veteran suicide is a national priority due to disproportionate rates of veteran suicides compared to the general population. The suicide rate among veterans is 1.5 times that of non-veteran adults, even after adjusting for age and sex (U.S. Department of Veterans Affairs, 2019). More than 6000 veteran suicides have occurred each year over the last decade (U.S. Department of Veterans Affairs, 2019), and the majority of these suicide deaths occur among those not using Veterans Health Administration (VHA) services in the year before death (U.S. Department of Veterans Affairs, 2020). Multiple initiatives have been implemented to enhance understanding of factors associated with the greatest risk for suicide and algorithms have been developed to identify high-risk veterans using VHA services (Kessler et al., Reference Kessler, Hwang, Hoffmire, McCarthy, Petukhova, Rosellini and Bossarte2017; McCarthy et al., Reference McCarthy, Bossarte, Katz, Thompson, Kemp, Hannemann, Nielson and Schoenbaum2015). These initiatives demonstrate that a combination of demographic and clinical factors place veterans at increased risk. While risk factors such as prior suicide attempts and mental health diagnoses such as depression, substance use disorder, and PTSD are well-documented (Conner et al., Reference Conner, Bossarte, He, Arora, Lu, Tu and Katz2014; LeardMann et al., Reference LeardMann, Powell, Smith, Bell, Smith, Boyko and Hoge2013; Nock et al., Reference Nock, Deming, Fullerton, Gilman, Goldenberg, Kessler and Ursano2013; Pruitt et al., Reference Pruitt, Smolenski, Bush, Tucker, Issa, Hoyt and Reger2019) and are easily identifiable from individuals' medical records, there are other factors that may not be as straightforward to identify and may be associated with barriers to seeking mental health care (e.g. Nazarov, Fikretoglu, Liu, Richardson, & Thompson, Reference Nazarov, Fikretoglu, Liu, Richardson and Thompson2020). For example, one study found that veterans at risk for moral injury were less likely than those not at risk to seek mental health care (Nazarov et al., Reference Nazarov, Fikretoglu, Liu, Richardson and Thompson2020).

Moral injury is an emerging construct that has received growing attention over the last decade and is defined as ‘perpetrating, failing to prevent or bearing witness to acts that transgress deeply held moral beliefs or values’ (Litz et al., Reference Litz, Stein, Delaney, Lebowitz, Nash, Silva and Maguen2009). Moral injury can manifest if a veteran feels like they have crossed a line of their personal or shared values while serving in the war, and consequently experiences profound guilt, shame, withdrawal, a failure to self-forgive, self-sabotaging behaviors, and functional impairment (Griffin et al., Reference Griffin, Purcell, Burkman, Litz, Bryan, Schmitz and Maguen2019; Litz et al., Reference Litz, Stein, Delaney, Lebowitz, Nash, Silva and Maguen2009). Additionally, a moral injury may occur in the context of being betrayed, specifically when there has been a betrayal of accepted norms of morality by a person in legitimate authority in a high-stakes situation (Shay, Reference Shay2014). Potentially morally injurious events (PMIEs) may include acts of commission (e.g. killing in war) and omission (e.g. failing to save someone), witnessing serious injury or death and dying, or betrayal.

Growing evidence suggests that moral injury in veterans may be a distinct risk factor for suicide, separate from PTSD and other mental health conditions. Several studies have found that both exposures to PMIEs and moral injury are associated with suicidal ideation and attempts (Ames et al., Reference Ames, Erickson, Youssef, Arnold, Adamson, Sones and Koenig2019; Kelley et al., Reference Kelley, Bravo, Davies, Hamrick, Vinci and Redman2019; Kline, Weiner, Interian, Shcherbakov, & St. Hill, Reference Kline, Weiner, Interian, Shcherbakov and St. Hill2016; Levi-Belz, Dichter, & Zerach, Reference Levi-Belz, Dichter and Zerach2022; Maguen et al., Reference Maguen, Metzler, Bosch, Marmar, Knight and Neylan2012; Wisco et al., Reference Wisco, Marx, May, Martini, Krystal, Southwick and Pietrzak2017). In one study, suicidal ideation was nearly double for those who endorsed greater killing experiences in war, even after adjusting for the effects of PTSD, depression, substance use, and general combat (Maguen et al., Reference Maguen, Metzler, Bosch, Marmar, Knight and Neylan2012). Notably, although PTSD and moral injury are distinct constructs, the combination further increases the risk for suicidal behavior (Bryan, Bryan, Roberge, Leifker, & Rozek, Reference Bryan, Bryan, Roberge, Leifker and Rozek2018).

Gender is one important factor that has been differentially linked to both veterans' suicidal behavior and their experiences of moral injury. Both quantitative and qualitative studies have found gender differences in suicide behaviors and suicide-related outcomes among veterans (Denneson et al., Reference Denneson, Tompkins, McDonald, Hoffmire, Britton, Carlson and Dobscha2020; Gradus, King, Galatzer-Levy, & Street, Reference Gradus, King, Galatzer-Levy and Street2017; Hoffmire, Kemp, & Bossarte, Reference Hoffmire, Kemp and Bossarte2015; Horwitz, Smith, Held, & Zalta, Reference Horwitz, Smith, Held and Zalta2019; Ursano et al., Reference Ursano, Kessler, Naifeh, Mash, Nock, Aliaga and Stein2018), with one recent study revealing precursors to women's suicide attempts that were consistent with hallmark symptoms of moral injury (e.g. shameful, tainted, and worthless), in contrast with contributors for men, which were more likely to reflect frustration with others and feeling like they had reached a personal limit (Denneson et al., Reference Denneson, Tompkins, McDonald, Hoffmire, Britton, Carlson and Dobscha2020). In addition, a recent study found important gender differences in the manifestation and expression of moral injury, with some evidence that the relationship between the type of moral injury exposure and functional outcomes varies by gender (Maguen et al., Reference Maguen, Griffin, Copeland, Perkins, Finley and Vogt2020). Maguen et al. (Reference Maguen, Griffin, Copeland, Perkins, Finley and Vogt2020) found that perpetration (acts of omission and commission) was most consistently associated with functional impairment across domains for men, whereas betrayal was most consistently associated with functional impairment for women. Taken together, this research highlights the importance of examining associations between moral injury and suicide behaviors separately for men and women.

Additional factors that are important to consider when studying the relationship between moral injury and suicidal behavior are the timing of suicide behavior (peri- or post-military) as well as an examination of risk factors across the life course. Risk for peri- and post-military suicide behavior has been shown to differ in important ways (Hoffmire et al., Reference Hoffmire, Monteith, Forster, Bernhard, Blosnich, Vogt and Schneiderman2021a), yet there is a paucity of research on factors that confer differential risk based on timing of military service, necessitating further examination. Furthermore, the transition period between peri- and post-military service is a time of heightened risk for suicide (Ravindran, Morley, Stephens, Stanley, & Reger, Reference Ravindran, Morley, Stephens, Stanley and Reger2020). Further research is also warranted to better understand risk and resilience factors during this time. Finally, examining risk factors across the life course (i.e. pre-, peri- and post-military) including pre-military risk factors like early childhood trauma and pre-military suicidal ideation and attempts; military factors like military sexual trauma (MST), combat exposure, and exposure to PMIEs; and post-military factors like mental health symptoms ensures a broad perspective (Nock, Ramirez, & Rankin, Reference Nock, Ramirez and Rankin2019).

To address these knowledge gaps, in the current study we investigated post-9/11 veterans' experiences of PMIEs related to acts of perpetration, witnessing, and betrayal and examined relationships with peri- and post-military suicide attempts by gender. We hypothesized that PMIE exposure related to both perpetration and betrayal would be associated with peri- and post-military suicide attempts, and that similar to prior studies examining gender differences in moral injury, the relationship between PMIE exposure by perpetration and suicidal attempts would be strongest for men.

Methods

Participants and procedure

The Comparative Health Assessment Interview (CHAI) Research Study is a cross-sectional survey that focused on the health and well-being of post-9/11 veterans and non-veterans. The current analysis focuses on the veteran subsample. CHAI utilized a stratified probability-based sampling frame of post-9/11 veterans from the U.S. Veterans Eligibility Trends and Statistics (USVETS) dataset, which includes information on all separated veterans who had been active duty or had a period of active service (as a member of the Reserves or National Guard) between September 2001 and June 2015.

The sampling design was used to select veterans based on whether they were deployed for service during military operations following 9/11. Deployed veterans were sampled using stratification by service branch (Army, Air Force, Marines, Navy) and component (Active Duty, Reserves/National Guard), and whether their first activation was before or after 9/11, with females oversampled (30% of sample). Non-deployed veterans were then matched across all strata. Veterans were invited to participate by mail and then given the option to complete the survey online or by phone. Veterans who did not complete the online survey received follow-up calls.

Data were collected between April 18, 2018 and August 10, 2018. Veterans were recruited by mail (invitation, two reminders) to complete the survey via either a secured online survey or a computer-assisted telephone interview, with additional reminder calls to non-responders. Invitations included a $1 pre-incentive; respondents received a $50 post-incentive. The response rate for veterans was 40%, similar to response rates of other recent population-based surveys of veterans (Bastian et al., Reference Bastian, Trentalange, Murphy, Brandt, Bean-Mayberry, Maisel and Haskell2014; Eber et al., Reference Eber, Barth, Kang, Mahan, Dursa and Schneiderman2013; Street, Gradus, Giasson, Vogt, & Resick, Reference Street, Gradus, Giasson, Vogt and Resick2013).

Veterans' (N = 15 166) gender, age, race, sexual orientation, marital status, parental status, the highest level of education attained, branch of military service, and rank at discharge are reported in Table 1. Gender (stratification variable) was defined by self-report (man, woman, transgender man [female to male (FTM)], transgender woman [male to female (MTF)], gender non-conforming, and different identity. Transgender respondents (n = 18) were categorized according to their gender identity [FTM = man (n = 11), MTF = woman (n = 7)]. Where self-reported gender was missing (n = 39), we replaced the missing value with the sex assigned at birth from the original sampling frame [male = man (n = 32), female = woman (n = 7)]. Those who reported gender as non-conforming or different identity (n = 28) were excluded from the analysis. An additional inclusion criterion for the current study was that respondents either (1) reported no exposure to a traumatic event (n = 1188) or (2) identified a most currently distressing traumatic event (n = 12 869). Thus, the total number of cases analyzed for this study included 14 057 veterans.

Table 1. Weighted percentages for demographic and military-related characteristics

Note. Values given as percentages. Participants were men (n = 8809) and women (n = 5248) veterans weighted to the population of post-9/11 veterans activated since 10/1/2001 and separated by 6/30/2015 (N = 3 691 536). In the weighted sample, 82.3% of participants identified as a man and 17.7% identified as a woman.

Weighted percentages by demographic and military characteristics are reported in Table 1. Veterans identified as men (82.3%) and women (17.7%). The largest proportions of the sample were between 30 and 39 years old (44.2%), of non-Hispanic white race/ethnicity (66.2%), heterosexual (95.6%), currently married or in a civil union (63.5%) and reported less than an associate degree (58.3%). Veterans were also most likely to report service in the Army (50.5%) relative to other branches of the Armed Forces and to have been of enlisted v. officer rank (88.1%). Over half of respondents reported being deployed to a warzone (56.9%). Warzone deployed men reported either zero (15.4%; i.e. combat deployed but not to Iraq/Afghanistan), one (44.6%), two (22.6%), or three or more (17.4%) deployments to either Iraq or Afghanistan; warzone deployed women reported either zero (23.9%), one (50.3%), two (17.0%), or three or more (8.7%) deployments to either Iraq or Afghanistan. Roughly 5% of men and 40% of women endorsed MST. Over 75% of veterans endorsed exposure to at least one adverse childhood event.

Measures

Our primary outcome was suicidal self-directed violence. We administered a modified version of the Columbia-Suicide Severity Rating Scale (C-SSRS; Katz, Barry, Cooper, Kasprow, & Hoff, Reference Katz, Barry, Cooper, Kasprow and Hoff2020; Matarazzo et al. Reference Matarazzo, Brown, Stanley, Forster, Billera, Currier and Brenner2019; Posner et al. Reference Posner, Brown, Stanley, Brent, Yershova, Oquendo and Mann2011) to assess the prevalence of active suicidal ideation (‘Have you ever actually had any thoughts of killing yourself?’) and suicide attempt (‘Have you ever made a suicide attempt’). Respondents who reported having thought about or attempted to kill themselves in their lifetime were further asked whether the experience occurred pre-, peri-, or post-military service and were given the option to select all that applied.

The Moral Injury Events Scale (MIES; Nash et al., Reference Nash, Marino Carper, Mills, Au, Goldsmith and Litz2013) was used to assess exposure to and subjective distress from PMIEs encountered in the military setting. This scale includes nine items that assess PMIE exposure by (1) witnessing, (2) perpetrating (through acts of commission or omission), or (3) being betrayed. Sample items include: ‘I acted in ways that violated my own moral code or values.’ And ‘I am troubled by having acted in ways that violated my own morals or values.’ Participants rated each item using a 6-point response format (1 = strongly disagree to 6 = strongly agree). Internal consistency was excellent (α = 0.908). To enhance the interpretability of these findings, we created binary variables for witnessing, perpetrating, and being betrayed by collapsing responses into two categories: those who reported slight, moderate, and strong disagreement with items and those who reported slight moderate, and strong agreement with items (Maguen et al., Reference Maguen, Griffin, Copeland, Perkins, Finley and Vogt2020). Furthermore, we used the three-factor structure proposed by Bryan et al. (Reference Bryan, Bryan, Anestis, Anestis, Green, Etienne and Ray-Sannerud2016) to assess exposure to a PMIE by witnessing, perpetrating, and being betrayed. Thus, positive response on the witnessing variable indicates an ‘agree’ response to either or both items 1 and 2, positive response on the perpetrating variable indicates an ‘agree’ response to one or more of items 3 through 6, and a positive response on the being betrayed variable indicates an ‘agree’ response to one or more of items 7 through 9.

Respondents also completed measures of psychiatric and behavioral problems. The Posttraumatic Stress Disorder (PTSD) Checklist (PCL-5; Weathers et al., Reference Weathers, Litz, Keane, Palmieri, Marx and Schnurr2013) is a self-report questionnaire comprised of 20 items that correspond to the Diagnostic and Statistical Manual-5 (DSM-5) symptom criteria for PTSD. Respondents indicated how much they were bothered (0 = not at all, 4 = extremely) by each symptom in the prior month. Item responses were summed to create a total score, and the recommended cutoff of 33 was used to indicate a positive screen for PTSD (Blevins, Weathers, Davis, Witte, & Domino, Reference Blevins, Weathers, Davis, Witte and Domino2015). Only respondents who endorsed experiencing a potentially traumatic event in their lifetime (PTE; e.g. combat, physical/sexual assault, life-threatening injury/illness) and were able to identify their most PTE were administered the PCL-5 items. We assigned a zero-sum score for those who reported no exposure to a Criterion A stressor (n = 1193). Internal consistency was excellent (α = 0.97).

The Patient Health Questionnaire – 9 (PHQ-9; Kroenke, Spitzer, and Williams, Reference Kroenke, Spitzer and Williams2001) is a nine-item self-administered questionnaire based on the DSM-5 criteria for Major Depressive Disorder. Respondents indicated the frequency with which they were bothered by each symptom during the previous 2 weeks using a 4-point response format (0 = not at all, 3 = nearly every day). Item scores were summed to create a total score, and the recommended cutoff of 10 was used to indicate a positive screen for depressive disorder. Internal consistency was excellent (α = 0.92).

The Generalized Anxiety Disorder 7-item scale (GAD-7; Spitzer, Kroenke, Williams, & Löwe, Reference Spitzer, Kroenke, Williams and Löwe2006) is a self-administered instrument based on the DSM-IV criteria for Generalized Anxiety Disorder. Respondents indicated the frequency with which they were bothered by each symptom during the previous 2 weeks using a 4-point response format (0 = not at all, 3 = nearly every day). Item scores were summed to create a total score, and the recommended cutoff of 10 was used to indicate a positive screen for anxiety disorder. Internal consistency was excellent (α = 0.94).

The Alcohol Use Disorder Identification Test – Concise (AUDIT-C; Bush, Kivlahan, McDonell, Fihn,& Bradley, Reference Bush, Kivlahan, McDonell, Fihn and Bradley1998) is a screening tool that identifies persons likely to have active alcohol dependence or abuse. Respondents indicated how often they consumed alcohol (0 = never, 4 = four or more times per week), how many drinks they consumed in a typical day (0 = none/1–2 drinks, 4 = ten or more drinks), and how often they had six or more drinks on one occasion (0 = never, 4 = daily or almost daily) during the past year. Item scores were summed to create a total score, and the recommended cutoff of 3 for women and 4 for men was used to identify probable alcohol use disorder. Due to branching logic in the survey, only those who reported some use of alcohol in their lifetime were administered the AUDIT-C items. We imputed a zero-sum score for those who reported never using alcohol (n = 1129). Internal consistency was acceptable (α = 0.74).

To assess the history of exposure to potentially traumatic events that are common among veterans, respondents also responded to questions about warzone deployments, MST, and adverse childhood experiences (ACEs). Warzone deployment was assessed using a single item on which Veterans identified if they (1) had not deployed, (2) deployed but not to a warzone, (3) deployed to war in Iraq/Afghanistan, and (4) deployed to war but not in Iraq/Afghanistan. To be inclusive of those deployed to war in any combat era, we collapsed the categories to create a binary variable representing any warzone deployment v. no warzone deployment. We also assessed a number of deployments specifically to Iraq or Afghanistan.

We assessed MST using the VHA electronic medical record MST screener. The MST screener contains two items: ‘When you were in the military: (a) Did you ever receive unwanted, threatening, or repeated sexual attention (for example, touching, cornering, pressure for sexual favors, or inappropriate verbal remarks, etc.)?; (b) Did you have sexual contact against your will or when you were unable to say no (for example, after being forced or threatened or to avoid other consequences)?’ These items have been validated against clinical interviews and psychometrically sound questionnaires (Kimerling, Gima, Smith, Street, & Frayne, Reference Kimerling, Gima, Smith, Street and Frayne2007). Respondents answered each question using a 3-point option (1 = Yes, 2 = No, 3 = Decline). We transformed the original variable to create a binary variable representing an affirmative ‘yes’ response to either or both questions v. a ‘no’ response to both questions. Decline responses were coded as missing.

The history of ACEs in the CHAI sample is reported elsewhere, including the association between ACES and self-directed suicidal violence (Blosnich et al., Reference Blosnich, Garfin, Maguen, Vogt, Dichter, Hoffmire and Schneiderman2021). In accordance with prior research, we replicated the approach described by Blosnich et al., to transform 23 variables that assessed exposure to an array of potentially traumatic experiences (e.g. natural disaster, physical assault, food/housing insecurity, etc.) before the age of 18 into a 5-category ordinal variable representing the cumulative frequency of ACEs (0, 1–2, 3–4, 5–6, >6 ACEs). We included one additional item in the ACEs composite that was inadvertently omitted from the Blosnich study (i.e. ‘learned about violent or accidental death/serious injury to close relative or friend’).

Data analysis

Inspection across all study variables revealed that 8% of cases were missing a value on at least one of twenty-two possible variables. Less than 1% of the total possible values were missing. To utilize all available data without biasing parameter estimates, we performed multiple imputations with fifteen imputed datasets from which we derived coefficient estimates and standard errors that we pooled to obtain final results (Pedersen et al., Reference Pedersen, Mikkelsen, Cronin-Fenton, Kristensen, Pham, Pedersen and Petersen2017). All analyses were weighted to account for the complex sampling design and used Taylor series approximation (linearization) for variance estimation. Weights included a base sampling weight, a nonresponse-bias adjustment, and a calibration to the population frame on gender, branch, component, geographic stratum, deployment, and pre-/post-9/11 activation (though all served on active duty or had periods of activation post-9/11, a subset had also been on active duty or activated prior to 9/11).

Preliminary analyses included bivariate comparisons between men and women veterans in terms of the prevalence of PMIE exposure and mental health problems using weighted simple logistic regression. To further assess whether veterans exposed to PMIEs by witnessing, perpetrating, and being betrayed were more likely to attempt suicide during and after military service, we conducted a series of weighted multiple logistic regressions. Partially adjusted models accounted for variance in suicide attempts explained by exposure to a PMIE, controlling for covariation between PMIE exposure by witnessing, perpetrating, and being betrayed but no other covariates. Fully adjusted models also accounted for variance in suicide attempts explained by demographic and military-related characteristics (i.e. age, race and ethnicity, sexual orientation, marital status, parental status, a branch of service, rank, and the highest level of education, history of warzone deployment, MST, and adverse childhood events), current mental health status (i.e. traumatic stress, depression, anxiety, hazardous alcohol use), and pre-military history of suicidal ideation and suicidal self-directed violence.

Adjusted odds ratios (AOR) with 95% confidence intervals (95% CI) are reported for the fully adjusted models in online Supplementary Table S1. We used the Zhang and Yu (Reference Zhang and Yu1998) method to approximate the adjusted relative risk (ARR) based on the AOR and percentage of the sample who attempted suicide in the unexposed subgroup (e.g. those who screened negative for PTSD; online Supplementary Table S2). Finally, we report estimates of the association between PMIE exposure and suicide attempt in online Supplementary Table S3 without controlling for covariates (unadjusted), controlling only for demographic and military-related characteristics (partially adjusted), and controlling for current mental health status and history of suicidal thoughts and behaviors (fully adjusted). Analyses were conducted using SAS Enterprise Guide version 7.1.

Results

As is shown in Table 2, we observed gender differences in the weighted prevalence of suicide attempts, such that women reported a higher prevalence of suicide attempts than men prior to (women = 6.1%; men = 1.4%), during (women = 5.7%; men = 2.6%), and after (women = 5.9%; men = 3.5%; Table 2) military service. Overall, 12.4% of women and 5.5% of men reported at least one suicide attempt. Of the veteran men and women who reported at least one attempt, 47.7% of men and 39.8% of women reported one attempt, 24.1% of men and 23.5% of women reported two attempts, and 28.2% of men and 36.7% of women reported three or more attempts.

Table 2. Weighted bivariate comparisons of study variables by gender

Note. Values given as percentages. Abbreviations include odds ratio (OR) and 95% confidence interval (95% CI). Participants were men (n = 8809) and women (n = 5248) veterans weighted to the population of post-9/11 veterans activated since 10/1/2001 and separated by 6/30/2015 (N = 3 691 536). The reference category is male (v. female). All mental health disorders are assessed by screening measures. PMIE exposure was assessed using the Moral Injury Events Scale (MIES, Nash et al., Reference Nash, Marino Carper, Mills, Au, Goldsmith and Litz2013) and modeled by witnessing (0 = disagree, 1 = agree), perpetrating (0 = disagree, 1 = agree), and being betrayed (0 = disagree, 1 = agree). Bolding indicates ORs of at least small effect size (OR ≥ 1.52; Chen, Cohen, & Chen, Reference Chen, Cohen and Chen2010).

Women were more likely to endorse PMIE exposure by witnessing (women = 52.5%; men = 41.0%) and being betrayed (women = 49.8%; men = 38.1%); there was no evidence of a gender difference in PMIE exposure by perpetrating (women = 24.1%; men = 21.3%). A sizable portion of veterans screened positive for posttraumatic stress (20.9%), depressive (25.4%), anxiety (22.1%), and alcohol use (38.0%) disorders; gender differences observed for mental health problems were statistically significant but marginal in effect size. Women (13.5%) more than men (6.7%) endorsed a pre-military history of suicidal ideation.

Veteran men

The partially adjusted models controlling only for covariance between PMIE exposure by witnessing, perpetrating, and being betrayed revealed that men who endorsed PMIE exposure by perpetrating were more than twice as likely to attempt suicide during (ARR = 2.00, 95% CI 1.42–2.82) and after (ARR = 2.63, 95% CI 1.91–3.62) military service. The partially adjusted models also showed that men who endorsed being betrayed were two to three times more likely to attempt suicide during (ARR = 3.21, 95% CI 2.14–4.79) and after (ARR = 2.35, 95% CI 1.67–3.31) military service. No evidence suggested that witnessing others' immoral acts contributed to the likelihood of suicide attempts during (ARR = 0.90, 95% CI 0.62–1.31) or after (ARR = 0.97, 95% CI 0.67–1.39) military service among men.

As is shown in the fully adjusted model presented in Table 3, when also controlling for current mental health status, history of suicidal ideation and attempt, and differences in demographic and military-related characteristics, men who reported perpetration were still 50% more likely to attempt suicide during service (ARR = 1.52, 95% CI 1.05–2.18) and twice as likely to attempt suicide after separation (ARR = 2.01, 95% CI 1.43–2.80) relative to those who denied perpetration. The fully adjusted models indicated further that men who reported being betrayed were nearly twice as likely to attempt suicide during service relative to those who reported no betrayal (ARR = 1.90, 95% CI 1.25–2.87); however, the association between betrayal and suicide attempt attenuated after separation from service (ARR = 1.29, 95% CI 0.89–1.86) when accounting for other predictors of suicide attempt in the fully adjusted models.

Table 3. Fully adjusted relative risk and confidence limits weighted gender-stratified models predicting suicide attempt

Note. Participants were men (n = 8809) and women (n = 5248) veterans weighted to the population of post-9/11 veterans activated since 10/1/2001 and separated by 6/30/2015 (N = 3 691 536). Abbreviations include Moral Injury Events Scale (MIES; Nash et al., Reference Nash, Marino Carper, Mills, Au, Goldsmith and Litz2013) and posttraumatic stress disorder (PTSD). Independent variables were binary (0, 1). Demographic and military-related characteristics were included in the model but excluded from the table to enhance readability (see also, online Supplementary Table S1). Class variables were effect coded prior to analysis including age (ref: 20s), branch of service (ref: Army), and number of adverse childhood events (ref: 0). Bolding indicates at least small effect size.

Overall, current depressive symptoms, pre-military history of ideation and attempt, and PMIE exposure by perpetration were the most consistent predictors of increased risk for suicide attempts among men during and after military service. Current posttraumatic stress symptoms and being betrayed also predicted a greater likelihood of suicide attempts during service. Critically, PMIE exposure by perpetration contributed to suicide attempts during and after military service beyond the variance explained by other variables entered into the fully adjusted models. Betrayal explained additional variance in suicide attempts during but not after service in the fully adjusted models among men.

Veteran women

Next, the partially adjusted models revealed that women who endorsed being betrayed were more than twice as likely to attempt suicide during service (ARR = 2.54, 95% CI 1.73–3.72) and after separation (ARR = 2.33, 95% CI 1.62–3.31) relative to those who denied betrayal. Women who endorsed PMIE exposure by perpetrating were also roughly 80% more likely to attempt suicide during (ARR = 1.78, 95% CI 1.31–2.40) and after (ARR = 1.78, 95% CI 1.29–2.45) military service. In contrast to men, women who witnessed others' immoral acts were also about 60% more likely to attempt suicide during (ARR = 1.66, 95% CI 1.14–2.41) but not after military service (ARR = 1.08, 95% CI 0.73–1.56).

As is shown in Table 3, women who endorsed being betrayed remained more than 50% more likely to attempt suicide during service (ARR = 1.56, 95% CI 1.00–2.41) and after separation (ARR = 1.62, 95% CI 1.06–2.44) relative to those who denied betrayal in the fully adjusted models. However, PMIE exposure by perpetrating and witnessing were not significant predictors of suicide attempts during or after military service among women, when controlling for current mental health status, history of suicidal ideation and attempt, and differences in demographic and military-related characteristics.

Overall, the most consistent correlates of suicide attempts during and after service in women were posttraumatic stress symptoms, depressive symptoms, pre-military history of ideation and attempt, and being betrayed. Women who screened positive for MST were also more likely to attempt suicide during service. Whereas betrayal explained incrementally more variance in suicide attempts during and after military service among women after accounting for other predictors of suicide risk, PMIE exposure by witnessing or perpetration did not explain additional variance in risk of a suicide attempt among women in the fully adjusted models.

Discussion

This is the first study to examine the relationship between PMIE exposure and suicide attempts separately for male and female post-9/11 veterans. Importantly, associations varied for women and men and based on whether the suicide behavior occurred during or after military service. This improved understanding of the impact of gender and timing of suicide behavior can assist with assessing risk and tailoring treatment for veterans across the life course.

When considering all risk factors in a fully adjusted model, PMIE exposure, and perpetration in particular, was a significant predictor of men's suicide attempts peri- and post-military service. This finding corroborates several studies that have demonstrated that suicide ideation and attempts are higher in individuals who reported killing or feeling responsible for the death of another during warfare (LeardMann et al., Reference LeardMann, Matsuno, Boyko, Powell, Reger and Hoge2021; Maguen et al., Reference Maguen, Metzler, Bosch, Marmar, Knight and Neylan2012). This is important because exposure to PMIEs and their psychological aftermath are typically not assessed in military suicide risk assessments (Zuromski et al., Reference Zuromski, Bernecker, Gutierrez, Joiner, King, Liu and Kessler2019). This finding supports the value of clinical education and training and intervention delivery concerning morally injurious incidents as a prevention strategy, particularly among men who may be at heightened risk of suicide behaviors following these incidents. Related, improving assessment for PMIE exposure and moral injury is also critical, given that veterans will often keep these exposures private unless asked directly in the context of other exposures (Maguen & Burkman, Reference Maguen and Burkman2013). Asking about a wide range of exposures helps create an accepting environment and conveys the message that discussing difficult topics like killing in war is acceptable within the therapeutic context.

Multiple interventions for moral injury may provide some relief, above and beyond evidence-based treatments for depression and PTSD. For example, Impact of Killing (IOK) is a treatment that targets perpetration-based moral injury by directly addressing the mental health IOK as well as self-forgiveness, self-compassion and the psychosocial and spiritual impact of moral injury (Maguen et al., Reference Maguen, Burkman, Madden, Dinh, Bosch, Keyser and Neylan2017; Purcell, Griffin, Burkman, & Maguen, Reference Purcell, Griffin, Burkman and Maguen2018). Other treatments that are focused on moral injury include Adaptive Disclosure, Trauma-Informed Guilt Reduction Therapy, Building Spiritual Strength, and Acceptance and Commitment Therapy for Moral Injury (Gray et al., Reference Gray, Schorr, Nash, Lebowitz, Amidon, Lansing and Litz2012; Harris et al., Reference Harris, Erbes, Engdahl, Thuras, Murray-Swank, Grace and Malec2011; Nieuwsma et al., Reference Nieuwsma, Walser, Farnsworth, Drescher, Meador and Nash2015; Norman, Wilkins, Myers, & Allard, Reference Norman, Wilkins, Myers and Allard2014). Each of these has either been tested in pilot randomized controlled trials (RCTs) or open trials, and all have larger RCTs underway. Importantly, given that there are residual symptoms following PTSD evidence-based psychotherapies, including guilt due to actions that had to be taken during the traumatic event (Larsen, Fleming, & Resick, Reference Larsen, Fleming and Resick2019), interventions targeting moral injury may help close this residual symptom gap.

We also found that betrayal was associated with suicide behavior peri-military for men and peri- and post-military for women, highlighting the importance of assessing for betrayal. Individuals in the military may feel betrayed by leadership or by fellow soldiers and these experiences have far-reaching impacts. For example, perceptions of institutional betrayal are associated with increased odds of attempting suicide (Monteith, Bahraini, Matarazzo, Soberay, & Smith, Reference Monteith, Bahraini, Matarazzo, Soberay and Smith2016b); additionally, betrayal can be linked to barriers to treatment (Holliday & Monteith, Reference Holliday and Monteith2019). Furthermore, if individuals in the military feel betrayed by leadership's actions, it can cause demoralization, hopelessness and thwarted belongingness, thus contributing to suicide behaviors (e.g. Van Orden et al., Reference Van Orden, Witte, Cukrowicz, Braithwaite, Selby and Joiner2010).

Similarly, if veterans experience betrayal from fellow service members whom they entrust with their lives, this can also lead to a spiral of adverse mental health symptoms, particularly in the context of MST. Indeed, in this study, MST was associated with suicide behavior peri-military, further corroborating these relationships. Evidence links MST and suicide risk (Bryan, Bryan, & Clemans, Reference Bryan, Bryan and Clemans2015; Forkus et al., Reference Forkus, Weiss, Goncharenko, Mammay, Church and Contractor2021; Monteith et al., Reference Monteith, Bahraini, Matarazzo, Gerber, Soberay and Forster2016a, Reference Monteith, Bahraini, Matarazzo, Soberay and Smith2016b); however, closely delineating that the association may be strongest peri-military service is an important addition to the literature and can help better target timing of assessment and interventions as needed. Importantly, one prior study did not find that betrayal was associated with suicide attempts, but this sample was predominantly composed of older male veterans and the outcome was lifetime suicide attempts rather than suicidal behavior experienced during and after military service (Nichter, Norman, Maguen, & Pietrzak, Reference Nichter, Norman, Maguen and Pietrzak2021).

Not surprisingly, pre-military ideation and attempts were strong and consistent predictors of suicidal behavior peri- and post-military service, as were depression symptoms, with depression demonstrating a strong effect size and consistent relationship with suicide attempts across gender and the life course (Nock et al., Reference Nock, Stein, Heeringa, Ursano, Colpe and Fullerton2014; Levey et al., Reference Levey, Polimanti, Cheng, Zhou, Nuñez, Jain and Gelernter2019). Associations between prior suicide thoughts and behavior, mental health symptoms and suicide attempts have consistently been shown in the broader epidemiologic literature on attempted suicide (Nock et al., Reference Nock, Borges, Bromet, Cha, Kessler and Lee2008; Ribeiro et al., Reference Ribeiro, Franklin, Fox, Bentley, Kleiman, Chang and Nock2016). We also found that PTSD was associated with suicide attempts for women, both peri- and post-military service, but for men only during military service. Prior studies have found a strong association between prior suicide attempts and PTSD (e.g. LeardMann et al., Reference LeardMann, Matsuno, Boyko, Powell, Reger and Hoge2021). However, it is important to note that in a systematic review examining PTSD and suicide behaviors, while most studies found an association between PTSD and suicide attempt, the authors noted that overall, studies did not adequately sample women or report rates or associations separately based on gender (Holliday et al., Reference Holliday, Borges, Stearns-Yoder, Hoffberg, Brenner and Monteith2020). Our finding may shed light on the importance of examining these relationships by gender rather than adjusting for gender.

When examining PMIE exposure, we found that women reported higher rates of PMIE exposure due to witnessing and betrayal, but that there were no gender differences with respect to perpetration (either acts of omission or commission). Importantly, women also reported higher suicide attempt rates before, during, and after military service than men. Additionally, women who attempted suicide tended to have a greater number of attempts, compared to men. These gender findings are consistent with prior epidemiological studies in the general population (Nock et al., Reference Nock, Borges, Bromet, Cha, Kessler and Lee2008) as well as studies that have found that women veterans are more likely to report suicide attempts (Ursano et al., Reference Ursano, Heeringa, Stein, Jain, Raman, Sun and Kessler2015; Hoffmire et al., Reference Hoffmire, Monteith, Forster, Bernhard, Blosnich, Vogt and Schneiderman2021a). Although reasons for the higher rates in women remain unclear and more research is underway to better understand these gender findings (Hoffmire et al., Reference Hoffmire, Denneson, Monteith, Dichter, Gradus, Cappelletti and Yano2021b), one recent qualitative study found that when women veterans describe reasons for their suicide attempts they discuss themes of self-concept, social power, and relationships (Denneson et al., Reference Denneson, Tompkins, McDonald, Hoffmire, Britton, Carlson and Dobscha2020); more specifically, they highlight negative self-evaluation and internalizing behaviors, while for men the blame is often more external, related to finding fault in the world around them, which may account for some of these differences.

Several limitations of our study should be noted. Our sample included post-9/11 veterans and may not generalize to veterans of other eras. There is some evidence that findings on the impact of moral injury on suicidal outcomes may vary according to era or time since event, with a stronger relationship between moral injury and suicide for younger veterans who experienced PMIEs more recently (Nichter et al., Reference Nichter, Norman, Maguen and Pietrzak2021). Next, we were able to adjust for current symptoms given that they were measured during the same time period as moral injury and pre-military history of suicide ideation and attempt; however, we did not adjust for lifetime mental health diagnoses given that these were measured dichotomously over the lifetime and it was not clear whether these preceded or followed our suicide attempt dependent variables. Additional limitations include the survey response rate, and the cross-sectional nature of the study. Finally, measures of moral injury may conflate exposure and the downstream effects of those exposures to some extent; better measures are needed. Despite this, we used the most robust measure of moral injury available.

Overall, findings of this study suggest that even after accounting for a host of factors including mental health symptoms, PMIE exposure due to perpetration is a risk factor for men's suicide attempts during and after military service, and PMIE exposure due to betrayal is a risk factor for both women's and men's suicidal attempts during military service, but only women's suicidal attempts after service. Other important suicide risk factors include pre-military suicidal ideation and attempts, depression, PTSD symptoms, and MST. Of note, for men, while the relationship between PTSD and post-military suicide attempts weakened and was no longer significant (from peri- to post-military), the relationship between PMIE exposure by perpetration and post-military suicide attempt became stronger. Any comprehensive suicide assessment and prevention program should account for the impact of moral injury to ensure that veterans are thoroughly assessed for critical risk factors.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291721005274.

Acknowledgements

This material is based upon work supported in part by the United States Department of Veterans Affairs (VA) Health Outcomes of Military Exposures, Epidemiology Program. The authors would like to thank Haley Mehlman for her assistance with this manuscript. The views expressed in this article are those of the authors and do not necessarily represent the views or policy of the VA or the United States Government.

Financial support

Department of Veterans Affairs, Office of Patient Care Services, Health Outcomes of Military Exposures, Epidemiology Program.

Conflict of interest

The authors have no conflicts of interest to disclose.

References

Ames, D., Erickson, Z., Youssef, N. A., Arnold, I., Adamson, C. S., Sones, A. C., … Koenig, H. G. (2019). Moral injury, religiosity, and suicide risk in US veterans and active-duty military with PTSD symptoms. Military Medicine, 184(3–4), e271e278. doi: 10.1093/milmed/usy148CrossRefGoogle ScholarPubMed
Bastian, L. A., Trentalange, M., Murphy, T. E., Brandt, C., Bean-Mayberry, B., Maisel, N. C., … Haskell, S. (2014). Association between women veterans’ experiences with VA outpatient health care and designation as a women's health provider in primary care clinics. Women's Health Issues, 24(6), 605612.CrossRefGoogle ScholarPubMed
Blevins, C. A., Weathers, F. W., Davis, M. T., Witte, T. K., & Domino, J. L. (2015). The posttraumatic stress disorder checklist for DSM-5 (PCL-5): Development and initial psychometric evaluation. Journal of Traumatic Stress, 28(6), 489498. https://doi.org/10.1002/jts.22059.CrossRefGoogle ScholarPubMed
Blosnich, J. R., Garfin, D. R., Maguen, S., Vogt, D., Dichter, M. E., Hoffmire, C. A., … Schneiderman, A. (2021). Differences in childhood adversity, suicidal ideation, and suicide attempt among veterans and nonveterans. The American Psychologist, 76(2), 284299. https://doi.org/10.1037/amp0000755.CrossRefGoogle ScholarPubMed
Bryan, C. J., Bryan, A. O., Anestis, M. D., Anestis, J. C., Green, B. A., Etienne, N., … Ray-Sannerud, B. (2016). Measuring moral injury: Psychometric properties of the moral injury events scale in two military samples. Assessment, 23(5), 557570.CrossRefGoogle ScholarPubMed
Bryan, C. J., Bryan, A. O., & Clemans, T. A. (2015). The association of military and premilitary sexual trauma with risk for suicide ideation, plans, and attempts. Psychiatry Research, 227, 246252. http://doi.org.10.1016/j.psychres.2015.01.030.CrossRefGoogle ScholarPubMed
Bryan, C. J., Bryan, A. O., Roberge, E., Leifker, F. R., & Rozek, D. C. (2018). Moral injury, posttraumatic stress disorder, and suicidal behavior among national guard personnel. Psychological Trauma: Theory, Research, Practice, and Policy, 10(1), 36. doi: 10.1037/tra0000290CrossRefGoogle ScholarPubMed
Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Archives of Internal Medicine, 158(16), 17891795. https://doi.org/10.1001/archinte.158.16.1789.CrossRefGoogle ScholarPubMed
Chen, H., Cohen, P., & Chen, S. (2010). How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Communications in Statistics – Simulation and Computation, 39(4), 860864.CrossRefGoogle Scholar
Conner, K. R., Bossarte, R. M., He, H., Arora, J., Lu, N., Tu, X. M., & Katz, I. R. (2014). Posttraumatic stress disorder and suicide in 5.9 million individuals receiving care in the veterans health administration health system. Journal of Affective Disorders, 166, 15. doi: 10.1016/j.jad.2014.04.067BCrossRefGoogle ScholarPubMed
Denneson, L. M., Tompkins, K. J., McDonald, K. L., Hoffmire, C. A., Britton, P. C., Carlson, K. F., … Dobscha, S. K. (2020). Gender differences in the development of suicidal behavior among United States military veterans: A national qualitative study. Social Science & Medicine, 260, 113178. doi: 10.1016/j.socscimed.2020.113178CrossRefGoogle ScholarPubMed
Eber, S., Barth, S., Kang, H., Mahan, C., Dursa, E., & Schneiderman, A. (2013). The national health study for a new generation of United States veterans: Methods for a large-scale study on the health of recent veterans. Military Medicine, 178(9), 966969.CrossRefGoogle Scholar
Forkus, S. R., Weiss, N. H., Goncharenko, S., Mammay, J., Church, M., & Contractor, A. A. (2021). Military sexual trauma and risky behaviors: A systematic review. Trauma, Violence, & Abuse, 22(4), 976993. https://doi.org/10.1177/15248380198973382.CrossRefGoogle ScholarPubMed
Gradus, J. L., King, M. W., Galatzer-Levy, I., & Street, A. E. (2017). Gender differences in machine learning models of trauma and suicidal ideation in veterans of the Iraq and Afghanistan Wars. Journal of Traumatic Stress, 30(4), 362371. doi: 10.1002/jts.22210CrossRefGoogle ScholarPubMed
Gray, M. J., Schorr, Y., Nash, W., Lebowitz, L., Amidon, A., Lansing, A., … Litz, B. T. (2012). Adaptive disclosure: An open trial of a novel exposure-based intervention for service members with combat-related psychological stress injuries. Behavior Therapy, 43(2), 407415. https://doi.org/10.1016/j.beth.2011.09.001.CrossRefGoogle ScholarPubMed
Griffin, B. J., Purcell, N., Burkman, K., Litz, B. T., Bryan, C. J., Schmitz, M., … Maguen, S. (2019). Moral injury: An integrative review. Journal of Traumatic Stress, 32(3), 350362. doi: 10.1002/jts.22362CrossRefGoogle ScholarPubMed
Harris, J. I., Erbes, C. R., Engdahl, B. E., Thuras, P., Murray-Swank, N., Grace, D., … Malec, C. (2011). The effectiveness of a trauma-focused spiritually integrated intervention for veterans exposed to trauma. Journal of Clinical Psychology, 67(4), 425438. https://doi.org/10.1002/jclp.20777.CrossRefGoogle ScholarPubMed
Hoffmire, C. A., Denneson, L. M., Monteith, L. L., Dichter, M. E., Gradus, J. L., Cappelletti, M., & …Yano, E. M. (2021b). Accelerating research on suicide risk and prevention in women veterans through research-operations partnerships. Medical Care, 59, S11S16. https://doi.org/10.1097/MLR.0000000000001432.CrossRefGoogle ScholarPubMed
Hoffmire, C. A., Kemp, J. E., & Bossarte, R. M. (2015). Changes in suicide mortality for veterans and nonveterans by gender and history of VHA service use, 2000–2010. Psychiatric Services, 66(9), 959965. doi: 10.1176/appi.ps.201400031CrossRefGoogle ScholarPubMed
Hoffmire, C. A., Monteith, L. L., Forster, J. E., Bernhard, P. A., Blosnich, J. R., Vogt, D., … Schneiderman, A. I. (2021a). Gender differences in lifetime prevalence and onset timing of suicidal ideation and suicide attempt among post-9/11 veterans and nonveterans. Medical Care, 59, S84S91.CrossRefGoogle ScholarPubMed
Holliday, R., Borges, L. M., Stearns-Yoder, K. A., Hoffberg, A. S., Brenner, L. A., & Monteith, L. L. (2020). Posttraumatic stress disorder, suicidal ideation, and suicidal self-directed violence among U.S. military personnel and veterans: A systematic review of the literature from 2010 to 2018. Frontiers in Psychology, 11, 1998. https://doi.org/10.3389/fpsyg.2020.01998.CrossRefGoogle ScholarPubMed
Holliday, R., & Monteith, L. L. (2019). Seeking help for the health sequelae of military sexual trauma: A theory-driven model of the role of institutional betrayal. Journal of Trauma & Dissociation: the Official Journal of the International Society for the Study of Dissociation (ISSD), 20(3), 340356. https://doi.org/10.1080/15299732.2019.1571888.CrossRefGoogle ScholarPubMed
Horwitz, A. G., Smith, D. L., Held, P., & Zalta, A. K. (2019). Characteristics of veteran and civilian suicide decedents: A sex-stratified analysis. American Journal of Preventive Medicine, 56(5), e163e168. doi: 10.1016/j.amepre.2018.11.017CrossRefGoogle ScholarPubMed
Katz, I., Barry, C. N., Cooper, S. A., Kasprow, W. J., & Hoff, R. A. (2020). Use of the Columbia-suicide severity rating scale (C-SSRS) in a large sample of veterans receiving mental health services in the veterans health administration. Suicide & Life- Threatening Behavior, 50(1), 111121. https://doi.org/10.1111/sltb.12584.CrossRefGoogle Scholar
Kelley, M. L., Bravo, A. J., Davies, R. L., Hamrick, H. C., Vinci, C., & Redman, J. C. (2019). Moral injury and suicidality among combat-wounded veterans: The moderating effects of social connectedness and self-compassion. Psychological Trauma: Theory, Research, Practice, and Policy, 11(6), 621. doi: 10.1037/tra0000447CrossRefGoogle ScholarPubMed
Kessler, R. C., Hwang, I., Hoffmire, C. A., McCarthy, J. F., Petukhova, M. V., Rosellini, A. J., … Bossarte, R. M. (2017). Developing a practical suicide risk prediction model for targeting high-risk patients in the veterans health administration. International Journal of Methods in Psychiatric Research, 26(3), e1575. doi: 10.1002/mpr.1575CrossRefGoogle ScholarPubMed
Kimerling, R., Gima, K., Smith, M. W., Street, A., & Frayne, S. (2007). The veterans health administration and military sexual trauma. American Journal of Public Health, 97(12), 21602166. https://doi.org/10.2105/AJPH.2006.092999.CrossRefGoogle ScholarPubMed
Kline, A., Weiner, M. D., Interian, A., Shcherbakov, A., & St. Hill, L. (2016). Morbid thoughts and suicidal ideation in Iraq war veterans: The role of direct and indirect killing in combat. Depression and Anxiety, 33(6), 473482. doi: 10.1002/da.22496CrossRefGoogle ScholarPubMed
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x.CrossRefGoogle ScholarPubMed
Larsen, S. E., Fleming, C. J. E., & Resick, P. A. (2019). Residual symptoms following empirically supported treatment for PTSD. Psychological Trauma: Theory, Research, Practice, and Policy, 11(2), 207215. https://doi.org/10.1037/tra0000384.CrossRefGoogle ScholarPubMed
LeardMann, C. A., Matsuno, R. K., Boyko, E. J., Powell, T. M., Reger, M. A., & Hoge, C. W., & Millennium Cohort Study (2021). Association of combat experiences with suicide attempts among active-duty US service members. JAMA Network Open, 4(2), e2036065. https://doi.org/10.1001/jamanetworkopen.2020.36065.CrossRefGoogle ScholarPubMed
LeardMann, C. A., Powell, T. M., Smith, T. C., Bell, M. R., Smith, B., Boyko, E. J., … Hoge, C. W. (2013). Risk factors associated with suicide in current and former US military personnel. JAMA, 310(5), 496506. doi: 10.1001/jama.2013.65164CrossRefGoogle ScholarPubMed
Levey, D. F., Polimanti, R., Cheng, Z., Zhou, H., Nuñez, Y. Z., Jain, S., … Gelernter, J. (2019). Genetic associations with suicide attempt severity and genetic overlap with major depression. Translational Psychiatry, 9(1), 22. https://doi.org/10.1038/s41398-018-0340-2.CrossRefGoogle ScholarPubMed
Levi-Belz, Y., Dichter, N., & Zerach, G. (2022). Moral injury and suicide ideation among Israeli combat veterans: The contribution of self-forgiveness and perceived social support. Journal of Interpersonal Violence, 37(1–2), NP1031NP1057. https://doi.org/10.1177/08862605209208653.CrossRefGoogle ScholarPubMed
Litz, B. T., Stein, N., Delaney, E., Lebowitz, L., Nash, W. P., Silva, C., & Maguen, S. (2009). Moral injury and moral repair in war veterans: A preliminary model and intervention strategy. Clinical Psychology Review, 29(8), 695706. doi: 10.1016/j.cpr.2009.07.003CrossRefGoogle ScholarPubMed
Maguen, S., & Burkman, K. (2013). Combat-related killing: Expanding evidence-based treatments for PTSD. Cognitive and Behavioral Practice, 20(4), 476479.CrossRefGoogle Scholar
Maguen, S., Burkman, K., Madden, E., Dinh, J., Bosch, J., Keyser, J., … Neylan, T. C. (2017). Impact of killing in war: A randomized, controlled pilot trial. Journal of Clinical Psychology, 73(9), 9971012. https://doi.org/10.1002/jclp.22471.CrossRefGoogle Scholar
Maguen, S., Griffin, B. J., Copeland, L. A., Perkins, D. F., Finley, E. P., & Vogt, D. (2020). Gender differences in prevalence and outcomes of exposure to potentially morally injurious events among post-9/11 veterans. Journal of Psychiatric Research, 130, 97103.CrossRefGoogle ScholarPubMed
Maguen, S., Metzler, T. J., Bosch, J., Marmar, C. R., Knight, S. J., & Neylan, T. C. (2012). Killing in combat may be independently associated with suicidal ideation. Depression and Anxiety, 29(11), 918923. doi: 10.1002/da.21954CrossRefGoogle ScholarPubMed
Matarazzo, B. B., Brown, G. K., Stanley, B., Forster, J. E., Billera, M., Currier, G. W., … Brenner, L. A. (2019). Predictive validity of the Columbia-suicide severity rating scale among a cohort of at-risk veterans. Suicide & Life-Threatening Behavior, 49(5), 12551265. https://doi.org/10.1111/sltb.12515.CrossRefGoogle ScholarPubMed
McCarthy, J. F., Bossarte, R. M., Katz, I. R., Thompson, C., Kemp, J., Hannemann, C. M., Nielson, C., … Schoenbaum, M. (2015). Predictive modeling and concentration of the risk of suicide: Implications for preventive interventions in the US department of veterans affairs. American Journal of Public Health, 105(9), 19351942. https://doi.org/10.2105/AJPH.2015.302737.CrossRefGoogle ScholarPubMed
Monteith, L. L., Bahraini, N. H., Matarazzo, B. B., Gerber, H. R., Soberay, K. A., & Forster, J. E. (2016a). The influence of gender on suicidal ideation following military sexual trauma among veterans in the veterans health administration. Psychiatry Research, 244, 257265. http://doi.org.10.1016/j.psychres.2016.07.036.CrossRefGoogle ScholarPubMed
Monteith, L. L., Bahraini, N. H., Matarazzo, B. B., Soberay, K. A., & Smith, C. P. (2016b). Perceptions of institutional betrayal predict suicidal self-directed violence among veterans exposed to military sexual trauma. Journal of Clinical Psychology, 72(7), 743755. https://doi.org/10.1002/jclp.22292.CrossRefGoogle ScholarPubMed
Nash, W. P., Marino Carper, T. L., Mills, M. A., Au, T., Goldsmith, A., & Litz, B. T. (2013). Psychometric evaluation of the moral injury events scale. Military Medicine, 178(6), 646652. https://doi.org/10.7205/MILMED-D-13-00017.CrossRefGoogle ScholarPubMed
Nazarov, A., Fikretoglu, D., Liu, A., Richardson, J. D., & Thompson, M. (2020). Help-seeking for mental health issues in deployed Canadian armed forces personnel at risk for moral injury. European Journal of Psychotraumatology, 11(1), 1729032. doi: 10.1080/20008198.2020.1729032CrossRefGoogle ScholarPubMed
Nichter, B., Norman, S. B., Maguen, S., & Pietrzak, R. H. (2021). Moral injury and suicidal behavior among US combat veterans: Results from the 2019–2020 National Health and Resilience in Veterans Study. Depression and Anxiety, 38(6), 606614. https://doi.org/10.1002/da.23145.CrossRefGoogle ScholarPubMed
Nieuwsma, J.A., Walser, R.D., Farnsworth, J.K., Drescher, K.D., Meador, K.G., & Nash, W.P. (2015). Possibilities within acceptance and commitment therapy for approaching moral injury. Current Psychiatry Reviews, 11(3), 193206. https://doi.org/1875-6441/15.CrossRefGoogle Scholar
Nock, M. K., Borges, G., Bromet, E. J., Cha, C. B., Kessler, R. C., & Lee, S. (2008). Suicide and suicidal behavior. Epidemiologic Reviews, 30(1), 133154. https://doi.org/10.1093/epirev/mxn002.CrossRefGoogle ScholarPubMed
Nock, M. K., Deming, C. A., Fullerton, C. S., Gilman, S. E., Goldenberg, M., Kessler, R. C., & …Ursano, R. J. (2013). Suicide among soldiers: A review of psychosocial risk and protective factors. Psychiatry, 76(2), 97125. https://doi.org/10.1521/psyc.2013.76.2.97.CrossRefGoogle ScholarPubMed
Nock, M. K., Ramirez, F., & Rankin, O. (2019). Advancing our understanding of the who, when, and why of suicide risk. JAMA Psychiatry, 76(1), 1112. https://doi.org/10.1001/jamapsychiatry.2018.3164.CrossRefGoogle ScholarPubMed
Nock, M. K., Stein, M. B., Heeringa, S. G., Ursano, R. J., Colpe, & L. J., Fullerton, , … Army STARRS Collaborators. (2014). Prevalence and correlates of suicidal behavior among soldiers: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry, 71(5), 514522. https://doi.org/10.1001/jamapsychiatry.2014.30.CrossRefGoogle ScholarPubMed
Norman, S. B., Wilkins, K. C., Myers, U. S., & Allard, C. B. (2014). Trauma-informed guilt reduction therapy with combat veterans. Cognitive and Behavioral Practice, 21(1), 7888. doi: 10.1016/j.cbpra.2013.08.001CrossRefGoogle ScholarPubMed
Pedersen, A. B., Mikkelsen, E. M., Cronin-Fenton, D., Kristensen, N. R., Pham, T. M., Pedersen, L., & Petersen, I. (2017). Missing data and multiple imputation in clinical epidemiological research. Clinical Epidemiology, 9, 157166. https://doi.org/10.2147/CLEP.S129785.CrossRefGoogle ScholarPubMed
Posner, K., Brown, G. K., Stanley, B., Brent, D. A., Yershova, K. V., Oquendo, M. A., … Mann, J. J. (2011). The Columbia–suicide severity rating scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. American Journal of Psychiatry, 168(12), 12661277.CrossRefGoogle ScholarPubMed
Pruitt, L. D., Smolenski, D. J., Bush, N. E., Tucker, J., Issa, F., Hoyt, T. V., & Reger, M. A. (2019). Suicide in the military: Understanding rates and risk factors across the United States' armed forces. Military Medicine, 184(Suppl. 1), 432437. https://doi.org/10.1093/milmed/usy296.CrossRefGoogle ScholarPubMed
Purcell, N., Griffin, B. J., Burkman, K., & Maguen, S. (2018). “Opening a door to a new life”: The role of forgiveness in healing from moral injury. Frontiers in Psychiatry, 9, 498. https://doi.org/10.3389/fpsyt.2018.00498.CrossRefGoogle ScholarPubMed
Ravindran, C., Morley, S. W., Stephens, B. M., Stanley, I. H., & Reger, M. A. (2020). Association of suicide risk with transition to civilian life among US military service members. JAMA Network Open, 3(9), e2016261e2016261.CrossRefGoogle ScholarPubMed
Ribeiro, J. D., Franklin, J. C., Fox, K. R., Bentley, K. H., Kleiman, E. M., Chang, B. P., & Nock, M. K. (2016). Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: A meta-analysis of longitudinal studies. Psychological Medicine, 46(2), 225236. https://doi.org/10.1017/S0033291715001804.CrossRefGoogle Scholar
Shay, J. (2014). Moral injury. Psychoanalytic Psychology, 31(2), 182191. https://doi.org/10.1037/a0036090.CrossRefGoogle Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 10921097. https://doi.org/10.1001/archinte.166.10.1092.CrossRefGoogle ScholarPubMed
Street, A. E., Gradus, J. L., Giasson, H. L., Vogt, D., & Resick, P. A. (2013). Gender differences among veterans deployed in support of the wars in Afghanistan and Iraq. Journal of General Internal Medicine, 28(Suppl. 2), S556S562. https://doi.org/10.1007/s11606-013-2333-4.CrossRefGoogle ScholarPubMed
Ursano, R. J., Heeringa, S. G., Stein, M. B., Jain, S., Raman, R., Sun, X., … Kessler, R. C. (2015). Prevalence and correlates of suicidal behavior among new soldiers in the U.S. Army: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Depression and Anxiety, 32(1), 312. https://doi.org/10.1002/da.22317.CrossRefGoogle ScholarPubMed
Ursano, R. J., Kessler, R. C., Naifeh, J. A., Mash, H. B. H., Nock, M. K., Aliaga, P. A., … Stein, M. B. (2018). Risk factors associated with attempted suicide among US Army soldiers without a history of mental health diagnosis. JAMA Psychiatry, 75(10), 10221032. doi: 10.1001/jamapsychiatry.2018.2069CrossRefGoogle ScholarPubMed
U.S. Department of Veterans Affairs. (2020, December 31). Veteran Suicide Data and Reporting. Retrieved from: https://www.mentalhealth.va.gov/mentalhealth/suicide_prevention/data.asp.Google Scholar
U.S. Department of Veterans Affairs, Office of Mental Health and Suicide Prevention. (2019). 2019 National Veteran Suicide Prevention Annual Report. Retrieved from https://www.mentalhealth.va.gov/docs/data-sheets/2019/2019_National_Veteran_Suicide_Prevention_Annual_Report_508.pdf.Google Scholar
Van Orden, K. A., Witte, T. K., Cukrowicz, K. C., Braithwaite, S. R., Selby, E. A., & Joiner, T. E. Jr. (2010). The interpersonal theory of suicide. Psychological Review, 117(2), 575600. https://doi.org/10.1037/a0018697.CrossRefGoogle ScholarPubMed
Weathers, F. W., Litz, B. T., Keane, T. M., Palmieri, P. A., Marx, B. P., & Schnurr, P. P. (2013). The PTSD Checklist for DSM-5 (PCL-5). Scale available from the National Center for PTSD at www.ptsd.va.gov.Google Scholar
Wisco, B. E., Marx, B. P., May, C. L., Martini, B., Krystal, J. H., Southwick, S. M., & Pietrzak, R. H. (2017). Moral injury in US combat veterans: Results from the national health and resilience in veterans study. Depression and Anxiety, 34(4), 340347. doi: 10.1002CrossRefGoogle Scholar
Zhang, J., & Yu, K. F. (1998). What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA, 280(19), 16901691. https://doi.org/10.1001/jama.280.19.1690.CrossRefGoogle ScholarPubMed
Zuromski, K. L., Bernecker, S. L., Gutierrez, P. M., Joiner, T. E., King, A. J., Liu, H., … Kessler, R. C. (2019). Assessment of a risk index for suicide attempts among US army soldiers with suicide ideation: Analysis of data from the army study to assess risk and resilience in servicemembers (army STARRS). JAMA Network Open, 2(3), e190766. https://doi.org/10.1001/jamanetworkopen.2019.0766.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Weighted percentages for demographic and military-related characteristics

Figure 1

Table 2. Weighted bivariate comparisons of study variables by gender

Figure 2

Table 3. Fully adjusted relative risk and confidence limits weighted gender-stratified models predicting suicide attempt

Supplementary material: File

Maguen et al. supplementary material

Maguen et al. supplementary material

Download Maguen et al. supplementary material(File)
File 48.6 KB