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. Author manuscript; available in PMC: 2017 Sep 30.
Published in final edited form as: Psychiatry Res. 2016 Jun 28;243:232–237. doi: 10.1016/j.psychres.2016.06.039

Nonsuicidal self-injury and suicide attempts in Iraq/Afghanistan war veterans

Nathan A Kimbrel a,b,c,*, Bryann B DeBeer d,e,f, Eric C Meyer d,e,f, Suzy B Gulliver g, Sandra B Morissette h
PMCID: PMC5560029  NIHMSID: NIHMS892737  PMID: 27419652

Abstract

The present study examined the association between history of nonsuicidal self-injury (NSSI) and history of suicide attempts (SA) among 292 Iraq/Afghanistan veterans, half of whom carried a lifetime diagnosis of posttraumatic stress disorder (PTSD). Consistent with hypotheses, veterans who reported a history of NSSI were significantly more likely to report a history of SA than veterans without a history of NSSI. In addition, logistic regression demonstrated that NSSI remained a significant predictor of SA even after a wide range of covariates (i.e., combat exposure, traumatic brain injury, PTSD depression, alcohol dependence) were considered. Taken together, these findings suggest that clinicians working with veterans should include NSSI history as part of their standard risk assessment battery.

Keywords: Nonsuicidal self-injury, suicide, suicide attempts, suicidal ideation, PTSD, depression, veterans

1. Introduction

Nonsuicidal self-injury (NSSI) refers to the act of intentionally destroying one’s own body tissue without conscious suicidal intent (Chapman et al., 2006; Suyemoto, 1998). It is estimated that approximately 4–6% of adults in the general population engage in NSSI at some point during their lifetime (Briere and Gil, 1998; Klonsky, 2011). However, lack of a precise nomenclature for NSSI often leads to differing rates across populations (Crosby et al., 2011; Silverman et al., 2007). Common NSSI methods include cutting (35%), burning (31%), hitting (31%), and biting (31%; Klonsky, 2011), although approximately half of individuals who engage in NSSI use multiple methods (Klonsky, 2011). Notably, population-based studies indicate that NSSI is not related to gender, ethnicity, income, or education (Briere and Gil, 1998; Klonsky, 2011). These findings challenge the long-held belief that NSSI is more common in women (e.g., Miller, 1994), and indicate that this issue exists in a multitude of populations. NSSI is, however, significantly more common among individuals with a history of mental health treatment (Bentley et al., 2015; Briere and Gil, 1998; Klonsky, 2011). For instance, Briere and Gil (1998) reported that 21% of a psychiatric patient sample (73% of whom carried a diagnosis of PTSD) reported engaging in NSSI during the previous 6 months.

1.1 Nonsuicidal self-injury in veterans

Rates of NSSI in non-treatment seeking veteran samples range from 2.8%–14% (Bryan and Bryan, 2014; Kimbrel et al., 2015; Pinder et al., 2011; Swanell et al., 2014). However, rates of NSSI in veterans seeking treatment for PTSD appear to be markedly higher. For example, Sacks and colleagues (2008) examined rates of NSSI among a sample of primarily Vietnam-era veterans seeking treatment for PTSD and found that 66% reported a lifetime history of NSSI, whereas 55% reported engaging in NSSI during the past two weeks. More recently, Kimbrel and colleagues (2014a) examined the prevalence of NSSI among a sample of male Iraq/Afghanistan-era veterans seeking treatment for PTSD and found that 57% reported lifetime NSSI, whereas 45% reported NSSI during the previous two weeks. These findings are consistent with findings from the civilian literature demonstrating that PTSD is one of the psychiatric disorders that is most strongly associated with NSSI (e.g., Bentley et al., 2015).

1.2 Nonsuicidal self-injury and suicidal behavior

While inherent in the definition of NSSI is a lack of suicidal intent, a strong body of research among civilian samples indicates that NSSI is consistently associated with increased risk for engaging in suicidal behavior (e.g., Asarnow et al., 2011; Hamza et al., 2012; Klonsky et al., 2013). For example, Klonsky and colleagues (2013) recently demonstrated that NSSI was more strongly associated with history of suicide attempts (SA) than depression, anxiety, and borderline personality disorder (BPD) across multiple civilian samples. These and other similar findings (e.g., Asarnow et al., 2011; Hamza et al., 2012) are consistent with Joiner’s (2005) proposal that NSSI increases risk for suicidal behavior by increasing individuals’ acquired capability for suicide. Specifically, the repetition of bodily harm is proposed to enhance individuals’ tolerance of physiological pain and to diminish their fear of death and/or bodily harm, which, in turn, is proposed to increase their capability to engage in suicidal behavior (Joiner, 2005; Nock et al., 2006).

To date, there has been only limited research aimed at examining the association between NSSI and suicidal behavior in veterans. Specifically, Kimbrel and colleagues (2014a; 2015a) have shown that NSSI is associated with increased risk for suicidal ideation in two cohorts of Iraq/Afghanistan-era veterans, whereas Bryan and colleagues (2015) recently demonstrated that NSSI was prospectively associated with subsequent SA (HR = 2.25, p < 0.05) among 152 active-duty soldiers with a recent history of suicidal ideation or SA.

1.3 Study objective

Given the increasing evidence that veterans with PTSD and other mental health disorders are at elevated risk for suicidal behavior and death by suicide (e.g., Bullman and Kang, 1994; DeBeer et al., 2014; Kang and Bullman, 2008; U.S. Department of Veterans Affairs, 2013; Kaplan, Huguet, McFarland, and Newsom, 2007; Kimbrel et al., 2014b), there is a significant need for additional studies aimed at elucidating the association between NSSI and suicide attempts in veterans, as this important association has only been examined in one prior study with an active duty military sample (Bryan et al., 2015). Accordingly, the aim of the present research was to examine the association between history of NSSI and history of SA in a cross-sectional sample of 292 Iraq/Afghanistan-era veterans. Consistent with prior research in this area (e.g., Bryan et al., 2015; Klonsky et al., 2013), we hypothesized that NSSI would be associated with risk for SA at the bivariate level. We further expected that the hypothesized association between NSSI and SA would remain significant after a wide range of potential confounding variables were considered. Specifically, since gender, age, race, sexual orientation, combat exposure, PTSD, major depressive disorder (MDD), alcohol dependence, and traumatic brain injury (TBI) have all been previously associated with suicidal behavior (Kessler et al., 1999; Nock and Kessler, 2006; Nock et al., 2010; Remafedi et al., 1998; Bryan et al., 2013; Martin et al., 2012; Blosnich et al., 2012), we included these covariates in the logistic regression model to determine if NSSI would be uniquely associated with SA above and beyond the effects of these established predictors.

2. Method

2.1 Participants

A total of 345 Iraq/Afghanistan-era veterans were recruited from the Central Texas region of the United States to participate in the parent study. To be eligible, participants had to be U.S. veterans who had deployed in support of the conflicts in Iraq and Afghanistan following September 11th, 2001. Participants could not meet criteria for either bipolar disorder or a psychotic disorder. Participants were also required to be stable on medications and therapy at the baseline assessment to control for recent symptom fluctuations. In addition, participants could not be in acute suicidal crisis necessitating immediate intervention, nor could they be planning on moving out of the catchment area in the immediate future, as the primary goal of the parent study was to study long-term functional recovery among Iraq/Afghanistan-era veterans with more common mental health problems, particularly PTSD and depression. Accordingly, veterans with PTSD and depression (but without a diagnosis of bipolar disorder or psychosis) who were enrolled in the VA healthcare system were oversampled through targeted advertisements, mailings, and referrals from clinical providers. Women were also oversampled.

Using these criteria, a total of 309 participants were deemed eligible for the parent study (21 were ruled out due to bipolar/psychosis, 13 were unable to complete all of the assessment procedures, 1 was not an Iraq/Afghanistan-era veteran, and 1 was planning on relocating in the near future). In addition, because data concerning lifetime history of NSSI and SA were not collected from 17 of the 309 Iraq/Afghanistan-era veterans enrolled in the parent study, the current analyses were limited to the 292 eligible Iraq/Afghanistan-era veterans who had complete NSSI and SA history data available for analysis from the baseline assessment.

Approximately one-third (32.5%) of the sample was female. Approximately one-fourth of the sample was Latino (19.5%). The majority of participants were White/Caucasian (56.8%); however, African Americans (33.2%) and American Indians/Alaska Natives (5.8%) were also well represented. With respect to sexual orientation, 95.8% of the sample identified as heterosexual, 1.4% as homosexual, 0.7% as bisexual, 0.3% were unsure, and 0.3% classified themselves as “other” (categories are not mutually exclusive). In addition, approximately 3% (n = 9) of the sample chose to not answer the question concerning their sexual orientation. On average, participants had 14.2 (SD = 2.1) years of education. The majority (86.5%) of participants had served in the served in the Army; 6.3% had served in the Air Force, 5.1% in the Marine Corps, 2.8% in the Navy, and 8.7% in the National Guard (categories were not mutually exclusive).

2.2 Procedures

All procedures were approved by the Institutional Review Board prior to data collection. Following informed consent, participants completed the battery of clinical interviews and self-report measures described below. All interviews were conducted by clinical psychologists and masters-level clinicians who were required to complete extensive training procedures prior to being allowed to conduct interviews independently. In addition, all clinical interviews were reviewed during diagnostic review groups that were led by experienced clinical psychologists. Diagnostic consensus was reached on all cases.

2.3 Measures

The Columbia Suicide Severity Rating Scale (CSSRS; Posner et al., 2011) was used to assess lifetime history of NSSI and SA. Consistent with the Self-Directed Violence Classification System used in the VA healthcare system, NSSI was defined as non-suicidal self-directed violence, and SA were defined as suicidal self-directed violence (Crosby et al., 2011). Note that the current analyses were restricted to actual SA only. Thus, interrupted and aborted SA were not included in the SA variable used in the present analyses. The Clinician Administered PTSD Scale for DSM-IV (CAPS-IV; Blake et al., 1995) was used to diagnose lifetime PTSD in relation to the most severe event identified during participants’ military service as part of the Iraq and Afghanistan conflicts. The Structured Clinical Interview for DSM-IV (SCID-IV; First et al., 1994) was used to diagnose lifetime MDD and alcohol dependence. A clinician administered TBI interview (Vasterling, 2008; Morissette et al., 2011) based on American Congress of Rehabilitation Medicine guidelines (Gerberding and Binder, 2003) was used to assess TBI. The Critical Warzone Experiences Scale (CWE; Kimbrel et al., 2014c) was used to assess combat exposure. Note that the PTSD, depression, alcohol dependence, TBI, NSSI, and SA variables used in the present analyses were all lifetime history variables.

2.4 Data analytic plan

Descriptive statistics were calculated for the clinical measures. Chi-square tests and t-tests were used to examine bivariate associations between SA and predictors (Table 1). Hierarchical logistic regression was used to determine if NSSI would remain a significant predictor of SA after accounting for the potential influence of demographic variables [gender (female = 0; male = 1), age, race (non-white = 0; white = 1), sexual orientation (heterosexual = 0; non-heterosexual = 1)], combat exposure, TBI, and psychopathology (PTSD, MDD, and alcohol dependence). Lifetime history of SA served as the dependent variable. Gender, age, race, sexual orientation, and combat exposure were entered in step 1. TBI, PTSD, MDD, and alcohol dependence were entered in step 2. NSSI was entered in step 3.

Table 1.

Summary of Bivariate Associations Between Suicide Attempts and Predictors

Bivariate Associations Between Suicide Attempts and Categorical Predictors
Variable Name Lifetime Attempts Test Statistic p-value
Gender
 Female 16.8% χ2 (1) = 6.590 0.01
 Male 7.1%
Race
 Non-White 10.2% χ2 (1) = 0.000 0.98
 White 10.2%
Sexual Orientation
 Heterosexual 9.8% χ2 (1) = 1.064 0.30
 Non-Heterosexual 17.6%
TBI
 No History of TBI 11.0% χ2 (1) = 0.066 0.78
 History of TBI 10.0%
PTSD
 No History of PTSD 7.6% χ2 (1) = 2.379 0.12
 History of PTSD 13.1%
Depression
 No History of Depression 3.8% χ2 (1) = 16.001 < 0.0001
 History of Depression 18.0%
Alcohol Dependence
 No History of Alcohol Dependence 7.0% χ2 (1) = 7.660 0.006
 History of Alcohol Dependence 17.6%
Nonsuicidal Self-Injury
 No History of Nonsuicidal Self-Injury 6.9% χ2 (1) = 53.779 < 0.0001
 History of Nonsuicidal Self-Injury 61.1%
Bivariate Association Between Suicide Attempts and Years of Age
Mean (SD) Test Statistic p-value
 No History of Suicide Attempts 39.4 (9.8) t = 3.790 < 0.0001
 History of Suicide Attempts 32.4 (7.6)
Bivariate Association Between Suicide Attempts and Combat Exposure
Mean (SD) Test Statistic p-value
 No History of Suicide Attempts 5.1 (5.8) t = −2.585 0.01
 History of Suicide Attempts 8.1 (7.8)
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3. Results

3.1 Descriptive statistics

Approximately 10% (n = 30) of the sample had a history of SA, 3% (n = 10) had a history of multiple SA, and 6% (n = 18) had a history of NSSI. In addition, 50% (n = 145) of the sample met criteria for lifetime PTSD, 46% (n = 133) for lifetime depression, and 31% (n = 91) for lifetime alcohol dependence. In addition, 69% (n = 200) of the sample had experienced one or more lifetime TBIs, and 64% (n = 187) reported one or more combat experiences on the CWE.

3.2 Bivariate analyses

Bivariate associations between suicide attempts and predictors are provided in Table 1. Consistent with the main hypothesis, chi-square tests revealed that NSSI was strongly associated with history of SA, χ2(1) = 53.779, p < 0.001, including history of multiple SA, χ2(1) = 34.398, p < 0.001, at the bivariate level. As can be seen in Figure 1, 61.1% of veterans with a history of NSSI had attempted suicide at least once over the course of their lifetime. In addition, 27.8% of veterans with a history of NSSI had made multiple SA.

Figure 1.

Figure 1

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Association between Lifetime History of Nonsuicidal Self-Injury (NSSI) and Lifetime History of Suicide Attempts among Iraq/Afghanistan-era Veterans. Chi-square tests revealed that lifetime history of NSSI was positively associated with history of 1 or more suicide attempts, χ2(1) = 53.779, p < 0.001, and history of multiple suicide attempts, χ2(1) = 34.398, p < 0.001, at the bivariate level.

3.3 Logistic regression model

As can be seen in Table 2, gender, OR = 0.224, p = 0.003, age, OR = 0.910, p = 0.001, and combat exposure, OR = 1.996, p = 0.005, were significant predictors of SA in step 1 of the logistic regression model. Thus, being female, being younger, and having experienced higher levels of combat exposure were each associated with increased risk for SA. After adding TBI, PTSD, MDD, and alcohol dependence to the model in step 2, gender, OR = 0.240, p = 0.015, age, OR = 0.919, p = 0.003, and combat exposure, OR = 1.907, p = 0.027, continued to have significant effects on SA. Interestingly, MDD, OR = 3.150, p = 0.032, was the only psychopathology variable significantly associated with SA in step 2. Finally, as hypothesized, NSSI was found to be strongly associated with SA in step 3 of the model, OR = 28.494, p < 0.001. Notably, MDD no longer had a statistically significant effect on SA, OR = 2.150, p = 0.183, once NSSI was added to the model in step 3, whereas gender, OR = 0.131, p = 0.004, age, OR = 0.926, p = 0.009, and combat exposure, OR = 3.204, p = 0.002, remained significant. The final model accounted for approximately 43% of the variance in SA (Nagelkerke R2 = 0.429) and correctly classified 90.1% of participants.

Table 2.

Summary of Logistic Regression Models Predicting Suicide Attempts among Veterans

Nagelkerke R2 Odds Ratio 95% Confidence Intervals
Step 1 0.211
Gender 0.224** 0.082 – 0.609
Age 0.910** 0.862 – 0.962
Race 0.968 0.401 – 2.388
Sexual Orientation 1.475 0.354 – 6.153
Combat Exposure 1.996** 1.238 – 3.220
Step 2 0.274
Gender 0.240* 0.076 – 0.754
Age 0.919** 0.869 – 0.972
Race 0.873 0.346 – 2.203
Sexual Orientation 1.122 0.251 – 5.020
Combat Exposure 1.907* 1.076 – 3.379
Traumatic Brain Injury 1.122 0.401 – 3.143
PTSD 0.514 0.178 – 1.481
Depression 3.150* 1.101 – 9.010
Alcohol Dependence 2.186 0.868 – 5.502
Step 3 0.429
Gender 0.131** 0.033 – 0.524
Age 0.926** 0.873 – 0.981
Race 0.833 0.304 – 2.287
Sexual Orientation 0.849 0.122 – 5.910
Combat Exposure 3.204** 1.541 – 6.662
Traumatic Brain Injury 0.751 0.242 – 2.329
PTSD 0.364 0.109 – 1.217
Depression 2.150 0.696 – 6.636
Alcohol Dependence 1.961 0.696 – 5.523
Nonsuicidal Self-Injury 28.494*** 6.903 – 117.614
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Note: PTSD = posttraumatic stress disorder. Gender was coded as 0 = female, 1 = male. Race categories were collapsed across groups in order to increase statistical power and coded as 0 = non-white, 1 = white. Sexual orientation categories were collapsed across groups in order to increase statistical power and coded as 0 = heterosexual, 1 = non-heterosexual. The PTSD, depression, alcohol dependence, TBI, and nonsuicidal self-injury variables were all lifetime history variables.

*

p < 0.05;

**

p < 0.01;

p < 0.001.

4. Discussion

Consistent with the Interpersonal-Psychological Theory of Suicide (Joiner, 2005) and prior research examining the association between NSSI and SA (e.g., Bryan et al., 2015; Klonsky et al. 2013), the present study found that NSSI was associated with significantly increased risk for SA among Iraq/Afghanistan-era veterans at the bivariate level. Furthermore, the present study adds to the existing literature by demonstrating that NSSI remained predictive of SA, even after a wide range of covariates (e.g., demographic variables, combat exposure, TBI, psychiatric diagnoses) were considered. The latter finding is consistent with findings among civilian samples demonstrating that NSSI remained predictive of SA after accounting for anxiety and depression (Klonsky et al., 2013). The present findings, while cross-sectional in nature, are also consistent with Bryan and colleagues’ (2015) recent finding associating NSSI with SA over time in active-duty military personnel.

Interestingly, the only other variables associated with risk for SA in the final step of the model were combat exposure, gender, and age. While each of these variables has been associated with suicidal behavior in previous research, it is surprising that none of the other established predictors of suicidal behavior examined (i.e., PTSD, MDD, alcohol dependence, TBI) were statistically significant predictors in the final step of the model. While it is possible that the categorical manner in which MDD, PTSD, alcohol dependence, and TBI were assessed may have reduced their predictive power, it is noteworthy that NSSI was also assessed categorically (i.e., present/absent), but still demonstrated a robust association with SA, even after all other variables had been included in the model.

It is also noteworthy that MDD had a statistically significant effect on SA until NSSI was entered into the model. Thus, it is likely that much of the variance that is shared between MDD and SA may also be shared with NSSI. Given that the rate of lifetime NSSI (6.2%) was much lower than the rate of lifetime MDD (45.5%) in the present study, it is likely that the substantially larger effect of NSSI on SA was due in large part to its specificity in relation to SA. That is, it is likely that NSSI, due to its much lower base rate in the present study, produced far fewer false positives than MDD. Such an interpretation is consistent with other recent findings in the field indicating that NSSI is a robust predictor of SA, outperforming depression and anxiety (e.g., Klonsky et al., 2013), and, in some cases, even outperforming history of SA as a predictor of future SA (e.g., Bryan et al., 2015).

Unfortunately, this important clinical issue has been largely overlooked among veteran populations to date. Thus, additional research aimed at further elucidating the association between NSSI and SA among veterans is needed, particularly given recent findings suggesting that NSSI is highly prevalent among both Vietnam- and Iraq/Afghanistan-era veterans seeking treatment for PTSD (Kimbrel et al., 2014a; Sacks et al., 2014).

A closely related point concerns the magnitude of the association between combat exposure (OR = 3.204, p < 0.01) and SA observed in the present study, especially given the fact that combat exposure was assessed continuously. While there is clearly a strong theoretical rationale for why one might expect to find a strong relationship between combat and suicide attempts (i.e., because it increases acquired capability for suicide; Joiner, 2005; Selby et al., 2010), several prior studies have failed to find the expected association between combat and suicide risk (e.g., Bryan et al., 2013). Prior research has, however, found a fairly consistent association between combat exposure and acquired capability for suicide (e.g., Bryan and Cukrowicz, 2011; Bryan et al., 2013).

One potential explanation for the findings regarding combat and SA in the present study relates to the measure of combat exposure used. Specifically, to our knowledge, the current study is the first to examine the relationship between the CWE and suicidal behavior. This is particularly notable because the CWE was explicitly designed to assess warzone experiences that are strongly associated with the development of PTSD, depression, and anxiety in Iraq/Afghanistan-era veterans (Kimbrel et al., 2014). In addition, recent research has shown that this measure is also associated with a broad array of other types of psychiatric symptoms in veterans, including symptoms of panic disorder, obsessive-compulsive disorder, somatization, bulimia, and psychosis (Kimbrel et al., 2015b). It is possible that the unique set of warzone experiences assessed by the CWE may be more strongly associated with suicidal behavior than other warzone experiences. Preliminary support for this idea comes from the fact that, among other items, the CWE assesses the number of times that veterans were directly responsible for killing an enemy combatant during their deployment, as killing in combat has previously been found to be a unique predictor of suicidal ideation (Maguen et al., 2012). Clearly, additional research aimed at better understanding the relationship between different types of warzone experiences and suicidal behavior is needed.

4.1 Limitations

The findings from the present study should be considered within the context of several limitations. First, the present study was cross-sectional and relied on retrospective assessment of NSSI and SA. Thus, causality cannot be inferred from the present findings. Moreover, while a high quality clinical interview (Posner et al., 2011) was used to assess both NSSI and SA, additional information regarding the onset and timing of NSSI and SA in relation to military service and deployments would have been useful in helping to disentangle these associations. A second limitation concerns the sample composition. Specifically, because veterans with PTSD and depression were oversampled in the present study, whereas veterans with a diagnosis of bipolar disorder or psychosis were excluded, the sample should not be considered representative of Iraq/Afghanistan-era veterans in general. Additional epidemiological work is needed to determine the true prevalence of NSSI among veterans. A final limitation concerns our limited diagnostic battery, which precluded us from assessing borderline personality disorder (BPD), a potentially important covariate that has been strongly associated with both NSSI and suicidal behavior in civilian samples (Klonsky et al., 2013; Linehan, 1993).

4.1 Clinical implications

Despite the limitations noted above, the present research, in conjunction with other recent studies in this area (e.g., Bryan et al., 2015; Kimbrel et al., 2014a, 2015a), has important implications for clinicians who routinely work with veterans of the conflicts in Iraq and Afghanistan. First, clinicians should be aware that NSSI does not appear to be limited by gender, ethnicity, income, education, or veteran status (Briere and Gil, 1998; Klonsky, 2011; Kimbrel et al., 2014a; Sacks et al., 2008). Thus, male veterans are as likely to engage in NSSI as female veterans or female civilians (e.g., Kimbrel et al., 2014a; Sacks et al., 2008). This is especially true for male veterans seeking treatment for PTSD (Kimbrel et al., 2014a; Sacks et al., 2008). Second, as demonstrated in the present study, clinicians should be aware that NSSI is one of the most robust predictors of SA identified to date (e.g., Asarnow et al., 2011; Bryan et al., 2015; Klonsky et al., 2013). As such, routine assessment of NSSI among veterans of the conflicts in Iraq and Afghanistan is advised, especially among Iraq/Afghanistan veterans who present with mental health concerns, such as PTSD. Third, while no research to date has attempted to treat NSSI among veterans, a growing body of research among civilians suggests that treatments that target emotion regulation skills (e.g., Linehan, 1993; Gratz et al., 2014) are likely to prove useful to these clients; however, additional work aimed at treating NSSI in veterans is still needed at the present time.

4.2 Conclusion

The findings from the present research suggest that NSSI is strongly associated with history of SA among Iraq/Afghanistan veterans, even after accounting for a number of important covariates, such as combat exposure, TBI, and psychopathology. More research on this important topic is needed. Prospective studies in high-risk samples of Iraq/Afghanistan veterans would be especially useful, as well as research aimed at determining if the findings from the present study extend to veterans of other eras. In the interim, the present findings clearly suggest that clinicians who routinely work with Iraq/Afghanistan veterans should make NSSI history a part of their standard risk assessment battery.

Highlights.

  • ➢

    Nonsuicidal self-injury (NSSI) has received insufficient attention among veterans.

  • ➢

    This study examined NSSI and suicide attempts (SA) in 292 Iraq/Afghanistan veterans.

  • ➢

    As hypothesized, NSSI was associated with increased risk for SA.

  • ➢

    This association remained significant even after PTSD and depression were covaried.

  • ➢

    Clinicians working with veterans should assess NSSI history during risk assessments.

Acknowledgments

This work was supported by a Merit Award (I01RX000304) to Dr. Morissette from the Rehabilitation Research and Development Service of the Department of Veterans Affairs (VA) Office of Research and Development (ORD), the VA VISN 17 Center of Excellence for Research on Returning War Veterans, the Central Texas Veterans Health Care System, the VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, and the Research & Development and Mental Health Services of the Durham VA Medical Center. Dr. Kimbrel was supported by a Career Development Award (IK2 CX000525) from the Clinical Science Research and Development Service of the VA ORD. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government.

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