Skip to main content
American Journal of Public Health logoLink to American Journal of Public Health
. 2015 Feb;105(2):380–387. doi: 10.2105/AJPH.2014.301957

A National Cohort Study of the Association Between the Polytrauma Clinical Triad and Suicide-Related Behavior Among US Veterans Who Served in Iraq and Afghanistan

Erin P Finley 1,, Mary Bollinger 1, Polly H Noël 1, Megan E Amuan 1, Laurel A Copeland 1, Jacqueline A Pugh 1, Albana Dassori 1, Raymond Palmer 1, Craig Bryan 1, Mary Jo V Pugh 1
PMCID: PMC4318322  PMID: 25033126

Abstract

Objectives. We examined the association of posttraumatic stress disorder (PTSD), traumatic brain injury, and chronic pain—the polytrauma clinical triad (PCT)—independently and with other conditions, with suicide-related behavior (SRB) risk among Operation Enduring Freedom (OEF; Afghanistan) and Operation Iraqi Freedom (OIF) veterans.

Methods. We used Department of Veterans Affairs (VA) administrative data to identify OEF and OIF veterans receiving VA care in fiscal years 2009–2011; we used International Classification of Diseases, Ninth Revision, Clinical Modification codes to characterize 211 652 cohort members. Descriptive statistics were followed by multinomial logistic regression analyses predicting SRB.

Results. Co-occurrence of PCT conditions was associated with significant increase in suicide ideation risk (odds ratio [OR] = 1.9; 95% confidence interval [CI] = 1.5, 2.4) or attempt and ideation (OR = 2.6; 95% CI = 1.5, 4.6), but did not exceed increased risk with PTSD alone (ideation: OR = 2.3; 95% CI = 2.0, 2.6; attempt: OR = 2.0; 95% CI = 1.4, 2.9; ideation and attempt: OR = 1.8; 95% CI = 1.2, 2.8). Ideation risk was significantly elevated when PTSD was comorbid with depression (OR = 4.2; 95% CI = 3.6, 4.8) or substance abuse (OR = 4.7; 95% CI = 3.9, 5.6).

Conclusions. Although PCT was a moderate SRB predictor, interactions among PCT conditions, particularly PTSD, and depression or substance abuse had larger risk increases.


The mental health of service members and veterans has been an issue of growing concern since the beginning of the US conflicts in Iraq and Afghanistan,1–5 with marked increases in the incidence of psychological disorders among veterans accompanied by a corresponding increase in suicides and suicide-related behavior (SRB).6,7 Although suicide has historically been lower among service members than members of the general population (the so-called healthy warrior effect),8 suicide rates among both service members and younger veterans have been on the increase during Operation Enduring Freedom (OEF; Afghanistan) and Operation Iraqi Freedom (OIF).9,10 Although Kang and Bullman8 found in 2008 that suicide risk was not significantly higher among OEF and OIF veterans compared with the US population as a whole, they did identify an elevated suicide rate among former active duty service members and those diagnosed with mental disorders, suggesting the presence of vulnerable subgroups within this population. It was recently estimated that some 22 veterans died by suicide every day in 201011 and both the Department of Defense and the Department of Veterans Affairs (VA) have identified suicide prevention as a key priority in ongoing initiatives.12

Among the risk factors for suicide among veterans, the most predictive appear to be previous history of suicide attempt13 or previous diagnosis of psychiatric disorders including posttraumatic stress disorder (PTSD), depression, substance abuse, bipolar disorder, and schizophrenia.14–17 Approximately one fifth of OEF or OIF veterans seeking care within VA have been diagnosed with PTSD.18 Although the increase in suicide risk associated with PTSD may be smaller than for other psychiatric diagnoses,16,19 PTSD appears to predict increased suicide ideation in both veterans6,20 and nonveterans.21 Jakupcak et al.19 have found that veterans with even subthreshold PTSD are at increased risk for suicide ideation.

Like PTSD, traumatic brain injury (TBI) has also been associated with increased suicide ideation and attempts as well as completed suicides,6,22,23 and may be associated with damage to the frontal lobe that can increase impulsivity and suicidality.24 Incidence of TBI has gone up sharply over the past decade,25 and high comorbidity between TBI and PTSD has often made it difficult to distinguish their unique effects on suicide risk. At least 1 study found that TBI of any severity is associated with an increased rate of completed suicides among veterans that is not accounted for by psychiatric comorbidity22; others have reported increased suicide risk among military personnel with TBI when assessed within a few days of their injuries.26 More recent evidence indicates that military personnel who have experienced multiple TBIs are at incrementally increased risk for suicidality even when the study controlled for PTSD and depression severity.23 By contrast, studies by Barnes et al.6 and Skopp et al.27 have reported that mild TBI does not significantly increase risk of suicide ideation or intent among active duty service members or veterans with PTSD, suggesting that there is room for additional clarification of TBI and its role in affecting SRBs.

Alongside these signature injuries of the wars in Iraq and Afghanistan, studies also identify high rates of chronic pain among OEF and OIF veterans.28–31 The co-occurrence of PTSD, TBI, and chronic pain, affecting as many as 42% of those receiving polytrauma care, has come to be known as the polytrauma clinical triad (PCT).30 Like PTSD and TBI, chronic pain has been associated with increased suicidality,16,32,33 but no studies to date have examined the unique or combined contributions of the PCT to suicide risk among OEF or OIF veterans.

In this article we respond to previous calls in the literature for research to determine if PTSD, TBI, and pain are more strongly associated with suicide risk when occurring in certain combinations,33,34 as well as whether PCT conditions are associated with elevated risk of suicide compared with other disorders already known to be associated with suicide and identified among a significant number of OEF and OIF veterans, including chronic disease, depression, anxiety, bipolar disorder, and substance use and sleep disorders.34,35–39 In targeting these conditions and examining the potential impact of interactions among them, our intention was to query whether particular subgroups may be at elevated risk for SRB and thus to support improved clinical and preventive efforts to identify those who may be missed under current guidelines.

METHODS

In this retrospective cohort study, we used the Department of Veterans Affairs OEF/OIF roster file to identify VA patients returned from OEF or OIF. Those who also received VA inpatient or outpatient care at least once per year during a 3-year period (fiscal year [FY] 2009–2011: October 1, 2008, to September 30, 2011) with valid race/ethnicity data were eligible for inclusion. Baseline characteristics and comorbidities were identified in FY 2009.

Measures

Suicide-related behavior.

We used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes40 from national VA inpatient and outpatient data to identify the outcomes of interest: suicide ideation (V62.84) and attempt (E950–E958: suicide and self-inflicted injury) during each of the 3 years of the study. We identified baseline suicide ideation and suicide attempt in FY 2009, and created a categorical variable of SRB during FY 2010–2011. Cohort members were grouped into 4 mutually exclusive categories: (1) neither ideation nor attempt, (2) ideation only, (3) attempt only, and (4) both ideation and attempt.

Demographic characteristics.

We noted that there were relatively few older veterans in this cohort and also that previous analyses of VA data had identified increased risk for suicide among male veterans aged 25 years and younger.17 Therefore, we clustered age in FY 2011 as follows: 18 to 25 years, 26 to 40 years, 41 to 55 years, and 56 years and older. We obtained age, gender, and race/ethnicity from the OEF/OIF roster and supplemented with VA data when missing. We classified race/ethnicity as African American, Hispanic, other (Native American, Pacific Islander, Asian, other), and non-Hispanic White (3% missing data). We conducted sensitivity analyses and determined that the effects of interest were independent of the missing race indicator and of inclusion or exclusion of cases without valid race/ethnicity. We thus excluded observations with missing race/ethnicity data. We obtained marital status (married vs other) from VA data, as well as military measures including the component of service (active duty vs Guard or Reserve) and rank (enlisted vs officer or warrant officer).

Clinical characteristics.

We identified baseline clinical characteristics in FY 2009 with ICD-9-CM codes from validated algorithms that, with the exception of TBI, required 2 episodes of care with a diagnosis for each specific condition at least 7 days apart (Table A, available as a supplement to the online version of this article at http://www.ajph.org).41–43 We first identified conditions included in the PCT: TBI, PTSD, and pain (which included headache and back, neck, and other noncancer pain). As VA administrative data do not include information on the number of TBIs experienced, TBI was constructed as a dichotomous yes-or-no category, as were all other conditions. We then identified previous SRB, insomnia, and other mental health diagnoses (depression, anxiety, bipolar disorder, schizophrenia, substance use disorder) as well as psychiatric hospitalization in FY 2009. Finally, we identified conditions in the Charlson Comorbidity Index with the Deyo algorithm.43

Analysis

We first examined descriptive statistics by suicidality category. Bivariate statistics tested the associations between clinical–demographic characteristics and outcomes with the χ2 and student t test as appropriate.

We assessed multicollinearity with the variance inflation factor. The tolerance consistent with Allison yielded no evidence of multicollinearity when variance inflation factor values are not greater than 5 and tolerance is not less than 0.4.44 Thus, we estimated a multinomial logistic regression model of suicidality, with neither ideation nor attempt as the reference category, with the logistic procedure in SAS version 9.2 (SAS Institute Inc, Cary, NC). With our large sample size, the study was overpowered, meaning that statistical significance was easily achieved. Because of this, we focused on moderate (odds ratio [OR] > 1.5 or < 0.67) to large effect sizes (OR > 2.0 or < 0.5).45

To test the hypothesis that unique combinations of postdeployment conditions are associated with suicide risk, we included interactions between PCT conditions and other SRB risk factors. To identify the latter, we examined interactions including conditions that were associated with large effect sizes (as defined previously) across all 3 SRB categories (ideation only, attempt only, and both ideation and attempt) when entered singly into the multivariate model. Two conditions, depression and substance abuse, met these criteria. We therefore examined interactions among the 3 PCT conditions, depression, and substance abuse.

RESULTS

Of 211 652 OEF or OIF veterans in this cohort, 205 899 (97.3%) had neither suicide ideation nor a suicide attempt documented in FY 2010–2011. Among those veterans with SRB (n = 5653; 2.6% of cohort), 4310 (2.0%) had ideation only, 753 (0.4%) had attempt only, and 690 (0.3%) had both ideation and attempt. Table 1 shows demographic and clinical correlates of SRB in this cohort.

TABLE 1—

Demographic and Clinical Correlates of Suicide-Related Behavior Among Operation Enduring Freedom and Operation Iraqi Freedom Veterans in Department of Veterans Affairs Care: United States, Fiscal Year 2010–2011

Variable Name No Attempt or Ideation (n = 205 899), No. (%) or Mean ±SD Ideation Only (n = 4310), No. (%) or Mean ±SD Attempt Only (n = 753), No. (%) or Mean ±SD Ideation and Attempt (n = 690), No. (%) or Mean ±SD Total (n = 211 652), No. (%) or Mean ±SD
Age, y
 18–25 11 372 (5.5) 354 (8.2) 70 (9.3) 74 (10.7) 11 870 (5.6)
 26–40 123 587 (58.4) 3053 (70.8) 558 (74.1) 493 (71.5) 127 691 (60.3)
 41–55 59 955 (29.1) 835 (19.4) 113 (15.0) 115 (16.7) 61 018 (28.8)
 ≥ 56 10 985 (5.3) 68 (1.6) 12 (1.6) 8 (1.2) 11 073 (5.2)
Race/ethnicity
 African American 37 088 (18.6) 636 (15.0) 96 (12.9) 91 (13.3) 37 911 (18.5)
 Hispanic 24 923 (12.5) 622 (12.3) 84 (11.3) 63 (9.2) 25 592 (12.5)
 Other 8245 (4.1) 138 (3.3) 43 (5.8) 31 (4.5) 8457 (4.1)
 White 129 019 (64.7) 2945 (69.5) 519 (70.0) 502 (73.1) 132 988 (64.9)
Marital status
 Married 95 962 (46.6) 1795 (41.7) 290 (38.5) 283 (41.0) 98 330 (46.5)
 Single 109 937 (53.4) 2515 (58.4) 463 (61.5) 407 (59.0) 113 322 (53.5)
Gender
 Male 177 823 (86.4) 3880 (90.0) 643 (85.4) 592 (85.8) 182 938 (86.4)
 Female 28 076 (13.6) 430 (10.0) 110 (14.6) 98 (14.2) 28 714 (13.6)
Service component
 Active duty 117 618 (57.1) 2544 (59.0) 511 (67.9) 450 (65.2) 121 123 (57.2)
 Guard or Reserves 88 281 (42.9) 1766 (41.0) 242 (32.1) 240 (34.8) 90 527 (42.8)
Rank
 Enlisted 192 709 (93.6) 4241 (98.4) 742 (98.5) 679 (98.4) 198 371 (93.7)
 Officer or warrant officer 13 190 (6.4) 69 (1.6) 11 (1.5) 11 (1.6) 13 281 (6.3)
Charlson Comorbidity Index score 0.12 ±0.47 0.12 ±0.46 0.12 ±0.46 0.18 ±0.65 0.12 ±0.48
Headache 25 841 (12.6) 817 (19.0) 147 (19.5) 148 (21.5) 26 953 (12.7)
Insomnia 25 808 (12.8) 738 (18.2) 118 (16.7) 110 (17.6) 26 774 (12.9)
Pain 78 017 (37.9) 1914 (44.4) 328 (43.6) 324 (47.0) 80 583 (38.1)
Bipolar disorder 6465 (3.1) 577 (13.4) 113 (15.0) 135 (19.6) 7290 (3.44)
Anxiety disorder 22 442 (10.9) 1013 (23.5) 182 (24.2) 216 (31.3) 23 853 (11.3)
Substance abuse disorder 19 916 (9.7) 1599 (37.1) 296 (39.3) 327 (47.4) 22 138 (10.5)
Schizophrenia 1002 (0.5) 132 (3.1) 16 (2.1) 22 (3.2) 1172 (0.6)
Psychiatric hospitalization, FY 2009 4002 (1.9) 851 (19.7) 158 (21.0) 195 (28.3) 5206 (2.5)
Suicide-related behavior, FY 2009 1925 (0.9) 631 (14.6) 172 (22.8) 174 (25.2) 2902 (1.4)

Note. FY = fiscal year. All variables presented were significant in χ2 analysis at the P < .001 level, with the exception of the Charlson score, for which t test was more appropriate because of low numbers in some cells. Differences by suicide-related behavior category in mean Charlson score were also significant at the P < .001 level.

In the multivariable model (Table 2), veterans in the 18- to 25-year-old group were significantly more likely and those in the groups aged 41 to 55 years and 56 years and older were less likely to engage in SRB across all categories compared with the referent category (group aged 26–40 years). African American veterans were less likely than non-Hispanic White veterans to have any SRB during the study period. Hispanic veterans were less likely than non-Hispanic Whites to both attempt and ideate, although there were no differences in odds of ideation or attempt alone. Veterans of other race/ethnicity were at increased risk of attempting suicide but not of ideating or both attempting and ideating. Female veterans were more likely than male veterans to attempt suicide or to both attempt and ideate, but were less likely to report ideation alone. Guard or Reserve status was associated with increased odds of reporting ideation and decreased odds of suicide attempt compared with active-duty status, but there was no significant relationship with service component among those who had both attempt and ideation. Higher rank was associated with significantly reduced risk of all SRBs.

TABLE 2—

Multivariable Model of Demographic and Clinical Characteristics Associated with Suicide-Related Behavior Among Operation Enduring Freedom and Operation Iraqi Freedom Veterans in Department of Veterans Affairs Care: United States, Fiscal Year 2010–2011

Variable Ideation Only, OR (95% CI) Attempt Only, OR (95% CI) Ideation and Attempt, OR (95% CI)
Age, y
 18–25 1.4** (1.2, 1.6) 1.5** (1.1, 1.9) 1.8** (1.4, 2.4)
 26–40 (Ref) 1.0 1.0 1.0
 41–55 0.7** (0.6, 0.8) 0.6** (0.5, 0.8) 0.7** (0.5, 0.9)
 ≥ 56 0.4** (0.3, 0.5) 0.5* (0.3, 0.8) 0.3** (0.2, 0.7)
Race/ethnicity
 African American 0.9* (0.8, 1.0) 0.8* (0.6, 1.0) 0.8* (0.6, 1.0)
 Hispanic 1.0 (0.9, 1.1) 0.9 (0.7, 1.2) 0.7* (0.6, 1.0)
 Other 0.9 (0.7, 1.0) 1.5* (1.1, 2.0) 1.1 (0.8, 1.6)
 White (Ref) 1.0 1.0 1.0
Married vs single 1.0 (0.9, 1.0) 1.0 (0.8, 1.2) 0.9 (0.7, 1.1)
Female vs male 0.8** (0.7, 0.9) 1.3* (1.0, 1.6) 1.3 (1.0, 1.6)
Guard or Reserve vs active duty 1.2** (1.1, 1.2) 0.8** (0.7, 0.9) 0.9 (0.7, 1.0)
Officer or warrant officer vs enlisted 0.5** (0.4, 0.6) 0.5** (0.3, 0.8) 0.5* (0.3, 0.9)
Charlson Comorbidity Index score 1.0 (0.9, 1.1) 1.1 (0.9, 1.2) 1.2** (1.1, 1.4)
Insomnia 1.0 (1.0, 1.1) 1.0 (0.8, 1.2) 0.9 (0.7, 1.1)
Bipolar disorder 1.7** (1.6, 1.9) 1.8** (1.5, 2.3) 2.2** (1.7, 2.7)
Anxiety disorder 1.3** (1.2, 1.4) 1.3** (1.1, 1.5) 1.7** (1.4, 2.1)
Schizophrenia 2.4** (2.0, 3.0) 1.6 (0.9, 2.7) 2.1** (1.3, 3.3)
Psychiatric hospitalization, FY 2009 1.9** (1.6, 2.1) 0.9 (0.7, 2.1) 1.5* (1.2, 2.1)
Suicide-related behavior, FY 2009 3.5** (3.1, 4.1) 10.0** (7.7, 13.2) 6.6** (5.0, 8.6)
No TBI, PTSD, pain, depression, or SA (Ref) 1.0 1.0 1.0
Single conditions
 TBI only (n = 1260) 0.9 (0.5, 1.7) 1.5 (0.5, 4.7) 0.6 (0.1, 4.6)
 PTSD only (n = 13 468) 2.3** (2.0, 2.6) 2.0** (1.4, 2.9) 1.8** (1.2, 2.8)
 Pain only (n = 38 426) 0.7** (0.6, 0.8) 0.7 (0.5, 1.0) 0.8 (0.5, 1.25)
 Depression only (n = 6568) 2.8** (2.4, 3.4) 2.5** (1.7, 3.9) 3.2** (2.1, 5.0)
 SA only (n = 2607) 3.6** (2.9, 4.5) 2.7** (1.5, 4.8) 3.7** (2.1, 6.5)
2 co-occurring conditions
 Comorbid TBI + PTSD (n = 1469) 2.3** (1.6, 3.4) 3.7** (1.9, 7.4) 1.1 (0.3, 4.4)
 Comorbid TBI + pain (n = 2018) 1.0 (0.6, 1.6) 1.6 (0.7, 4.0) 0.9 (0.2, 3.5)
 Comorbid TBI + depression (n = 232) 1.8 (0.7, 5.0) 2.6 (0.4, 18.6) 3.0 (0.4, 21.9)
 Comorbid TBI + SA (n = 92) 4.5** (1.8, 11.5) 5.3 (0.7, 38.8) . . .a
 Comorbid PTSD + pain (n = 14 018) 2.3** (2.0, 2.7) 1.7** (1.2, 2.5) 2.0** (1.3, 3.1)
 Comorbid PTSD + depression (n = 7729) 4.2** (3.6, 4.8) 3.7** (2.6, 5.3) 3.8** (2.6, 5.7)
 Comorbid PTSD + SA (n = 2871) 4.7** (3.9, 5.6) 4.3** (2.7, 6.7) 5.2** (3.3, 8.3)
 Comorbid pain + depression (n = 6744) 3.2** (2.7, 3.8) 3.0** (2.0, 4.5) 3.4** (2.2, 5.2)
 Comorbid pain + SA (n = 1252) 3.2** (2.3, 4.4) 2.7* (1.2, 6.2) 4.2** (2.0, 8.8)
 Comorbid depression + SA (n = 1341) 6.8** (5.4, 8.4) 6.8** (4.2, 11.1) 6.2** (3.6, 10.7)
3 co-occurring conditions
 TBI + PTSD + pain (n = 4383) 1.9** (1.5, 2.4) 1.7 (1.0, 3.2) 2.6** (1.5, 4.6)
 TBI + PTSD + depression (n = 848) 3.2** (2.2, 4.7) 3.0* (1.2, 7.5) 4.6** (2.0, 10.6)
 TBI + PTSD + SA (n = 426) 5.4** (3.6, 8.0) 4.2** (1.5, 11.6) 2.5 (0.6, 10.2)
 TBI + pain + depression (n = 569) 2.6** (1.5, 4.5) 1.0 (0.1, 7.0) 1.2 (0.2, 8.6)
 TBI + pain + SA (n = 143) 2.7* (1.1, 6.8) 5.7* (1.4, 24.3) . . .a
 TBI + depression + SA (n = 45) 6.9** (2.4, 20.1) 9.0* (1.2, 69.0) . . .a
 PTSD + pain + depression (n = 11 038) 4.4** (3.9, 5.0) 4.2** (3.1, 5.7) 3.5** (2.4, 5.0)
 PTSD + pain + SA (n = 2505) 5.1** (4.2, 6.1) 6.2** (4.1, 9.4) 8.1** (5.3, 12.3)
 PTSD + depression + SA (n = 3178) 6.9** (5.9, 8.1) 6.2** (4.3, 8.8) 9.4** (6.6, 13.4)
4 co-occurring conditions
 TBI + PTSD + pain + depression (n = 3486) 4.3** (3.5, 5.2) 4.7** (3.0, 7.1) 4.1** (2.5, 6.7)
 TBI + PTSD + pain + SA (n = 912) 7.5** (5.8, 9.7) 6.8** (3.8, 12.4) 7.3** (3.9, 13.7)
 TBI + PTSD + depression + SA (n = 457) 6.0** (4.2, 8.6) 10.5** (5.8, 19.1) 8.0** (3.9, 16.6)
 TBI + pain + depression + SA (n = 103) 4.0** (1.6, 10.1) 9.3** (2.2, 39.2) 19.1** (6.6, 55.7)
 PTSD + pain + depression + SA (n = 3705) 7.7** (6.6, 8.9) 7.4** (5.3, 10.3) 7.7** (5.4, 11.1)
5 co-occurring conditions: TBI + PTSD + pain + depression + SA (n = 1497) 6.0** (4.9, 7.4) 7.4** (4.8, 11.4) 10.9** (7.2, 16.5)

Note. CI = confidence interval; FY = fiscal year; OR = odds ratio; PTSD = posttraumatic stress disorder; SA = substance abuse; TBI = traumatic brain injury.

a

Too few cases for meaningful estimated effect.

*P ≤ .05; **P ≤ .01.

The multivariable model revealed no significant increase in odds of SRB among those with insomnia. Veterans with a diagnosis of bipolar disorder, anxiety, substance abuse, schizophrenia, depression, or PTSD were significantly more likely to be diagnosed with all 3 categories of SRB. Psychiatric hospitalization in FY 2009 was also significantly associated with ideation and combined attempt and ideation in FY 2010–2011. Previous SRB was a significant predictor of subsequent suicidality across all categories. Having a TBI was not independently associated with any SRB. Pain was associated with significantly reduced risk of suicide ideation during the study period, but there was no association with either attempt or attempt and ideation.

On the basis of our study hypotheses, we examined interactions for PCT, depression, and substance abuse. When we examined conditions occurring dually, we identified significant interactions for TBI and PTSD in the ideation- and attempt-only categories and for TBI and substance abuse in the ideation-only category. We identified significant interactions across all categories for co-occurring PTSD and pain, PTSD and depression, PTSD and substance abuse, pain and depression, pain and substance abuse, and depression and substance abuse. When we examined comparative risk by assessing where confidence intervals overlapped between interaction conditions, we found that, although veterans with comorbid TBI and PTSD or TBI and substance abuse were at elevated risk of SRB, TBI comorbidity was not associated with increased risk of SRB compared with PTSD or substance abuse alone. In addition, pain comorbidity was not associated with increased risk of SRB over PTSD, depression, or substance abuse alone. By contrast, adding comorbid depression to a diagnosis of PTSD significantly increased odds of ideation over that associated with PTSD alone, and adding comorbid substance abuse to a diagnosis of PTSD resulted in significantly increased odds of both ideation and ideation and attempt, although not attempt only. Veterans with comorbid PTSD and depression were at greater risk for ideation than those with depression alone, but not for attempt or attempt and ideation; comorbid PTSD made no additional contribution to risk for SRB among those with substance abuse.

We also examined interactions occurring when these conditions occurred in groups of 3, 4, or 5. As expected, nearly all of these combinations were associated with increased risk of SRB, including the triad of TBI, PTSD, and pain, which was associated with increased ideation and ideation and attempt, although not with attempt alone. Even so, the co-occurrence of all 3 PCT conditions did not increase risk above that associated with PTSD, depression, or substance abuse alone. As a general trend, as the number of comorbidities increased, those interactions including PTSD, depression, and substance abuse continued to be associated with the highest levels of risk.

DISCUSSION

We report on a multiyear study of SRB among a national cohort of OEF and OIF veterans receiving care at the VA. In contrast with research reporting that TBI may increase risk of suicide22 and despite a significant relationship between TBI and SRB in bivariate analyses, we found no association in the multivariable model once we included demographic and other clinical characteristics. Likewise, there was no increased risk of SRB associated with pain in the multivariable model; moreover, pain was associated with decreased risk of suicide ideation. Although this is somewhat surprising, as previous studies have linked pain with increased suicide ideation,46 at least 1 other study has reported that pain is no longer associated with SRB among veterans once mental health diagnoses are taken into account.34 As both TBI and pain ceased to be significantly associated with increased SRB risk in the multivariable model, it was not surprising that the interaction for PCT (co-occurring PTSD, TBI, and pain) conditions, though significantly associated with ideation and with ideation and attempt, did not appear to increase risk for SRB above that associated with PTSD, depression, or substance abuse alone.

We also examined the interaction between PTSD and TBI and found that, although veterans with both PTSD and TBI were at elevated risk of SRB, their risk was not significantly greater than that posed by PTSD alone. This may be attributable in part to the relative infrequency of TBI occurring without a comorbid PTSD diagnosis, making the chance of counting SRBs less likely because of small numbers. Adding depression or substance abuse to PTSD significantly increased risk for suicide ideation, thus reaffirming the role of these conditions—both independently and when co-occurring alongside PTSD—in suicidality.

Depression and substance abuse may be of particular importance in understanding suicide risk among OEF and OIF veterans. In contrast to the Ilgen et al.16 study of suicidality among veterans of other eras, our study indicates that depression is associated with risk greater than or comparable to bipolar depression or anxiety disorder. Previous studies have been mixed in their findings with regard to the impact of co-occurring PTSD and depression on risk of SRB,20 with some studies suggesting that depression asserts its influence independently of PTSD47,48 and others suggesting that the 2 conditions may interact to amplify suicidality.49 These mixed results may reflect differential risk associated with suicide ideation versus attempts, as we found that those with comorbid PTSD and depression were significantly more likely to exhibit suicide ideation than those with depression alone, but that the increase in risk was not significantly greater for those with attempts or attempts and ideation.

The multivariable model also reinforced previous research demonstrating the importance of substance abuse as a predictor for SRBs among veterans, particularly when co-occurring alongside depression or TBI or both.50,51 This is consistent with previous findings that indicators of substance abuse, such as blood alcohol content at the time of death, are common among veterans who die by suicide, particularly those who are young or middle-aged.17 The importance of substance abuse in our analyses is worrying, as some studies suggest that VA providers may underdiagnose substance use disorders.52,53 However, it may also be that more severe substance abuse disorders are overrepresented in this sample because of this tendency, thus contributing to the power of substance abuse in predicting SRB in this analysis. Additional research will be required to better understand these linkages and how best to address them in clinical practice.

In accordance with previous literature, age, gender, bipolar disorder, anxiety, schizophrenia, previous psychiatric hospitalization, and previous SRB remained important predictors for SRB in this analysis. Veterans of OEF or OIF aged 56 years and older were least likely to exhibit SRB, with risk highest in the group aged 18 to 25 years. This finding is in contrast to age-related suicide risk among the broader population of veterans of all eras, for whom 69% of completed suicides are among those aged 50 years and older.11 It may reflect the fact that older individuals in the OEF and OIF population are likely in better health than other veterans or nonveterans of the same age, having been healthy enough to deploy to a combat zone in the recent past. Veterans of officer or warrant officer rank were at markedly reduced risk for SRB, consistent with previous research.54,55 Previous psychiatric hospitalization correlated with later ideation or ideation and attempt, but not attempt only. Previous SRB, which included any previous ideation as well as attempts, emerged as the strongest predictor of later SRB, and chronic SRB may be among the most telling clinical predictors for completed suicide.13,56

It was interesting that we also found that female veterans were less likely than male veterans to exhibit suicide ideation, which directly contradicts previous research findings in this area49 and may suggest that women are less comfortable reporting ideation within VA.57,58 It is worth noting as a broader point that documented cases of suicide attempt outnumber cases of both suicide ideation and attempt, which suggests that suicide ideation may frequently go undetected—further highlighting the importance of developing improved strategies for identifying those at risk.

Strengths and Limitations

There are a number of strengths to this study, which reports on multiple years of data from a VA-wide patient sample and goes beyond self-reported assessments to draw on suicide ideation and attempts as documented by providers. Limitations include the following: only veterans enrolled in the VA health care system are included in the sample; providers are not always accurate in their coding of SRB or other conditions, thus introducing potential error into the data; and VA administrative data do not report on completed suicides and we therefore cannot determine which of the examined risk factors may be most closely linked to risk of death by suicide. Given their consistent utilization of VA services (at least 1 visit each year in FY 2009–2011), veterans in this cohort may have poorer health than the population of all OEF and OIF veterans. Use of VA administrative codes to identify suicide attempts is known to have high specificity, if low sensitivity.59 Although an attribution of pain required 2 diagnoses occurring at least 7 days apart and therefore captured primarily chronic pain conditions, the pain variable may include some instances of acute as well as chronic pain.

Also, our analyses are based on categorical rather than continuous variables and so they do not address how SRB may be affected by the severity of conditions (e.g., PTSD) or frequency of utilization events (e.g., SRB). This may be especially relevant for our examination of TBI, for which several studies have suggested differential risk by severity of injury.22,26 Our findings also do not capture the severity of ideation or the lethality of attempts. Use of categorical variables does suggest that our results are relatively conservative, as they account for all cases of a particular condition rather than solely the most severely affected.

Clinical Implications

In recent years, VA has placed increasing emphasis on improving clinical care for PTSD and TBI in an effort to respond to the growing numbers of men and women returning from combat deployment with cognitive and psychological sequelae. In confirming the role of PTSD as an independent predictor of both suicide ideation and attempts, our findings attest to the importance of such efforts. At the same time, this study reasserts the importance of depression and substance abuse as additional risk factors for suicide among OEF and OIF veterans,3,14 particularly those with comorbid PTSD. Because these conditions remain strong predictors of suicide risk for this population, and may exacerbate suicidality among those struggling with symptoms of other “invisible wounds of war,”60 it is more than ever essential to ensure that all veterans receive appropriate screening and treatment of symptoms of depression and substance abuse.

It may be that VA’s suicide prevention efforts can benefit from developing screening criteria explicitly tailored to address the risk factors most salient for OEF and OIF veterans. The VA’s system of electronic records and clinical reminders can be used to aid providers in targeting the needs of veterans of a particular cohort, age, or comorbidity profile. For example, a targeted OEF and OIF cohort risk assessment template could highlight the age group of 18 to 25 years as a time for heightened risk of suicidality.

Such a template might also signal a history of previous suicidality or presence of other psychiatric illness, including co-occurrence of depression or substance abuse alongside PTSD, as important “red flags” suggesting that additional screening, care integration, or follow-up care may be indicated. It may be appropriate to reexamine how depression and substance abuse treatment are integrated into existing care management for OEF and OIF veterans in primary and specialty mental health care settings. It may also be that those with comorbid PTSD and depression or substance abuse can benefit from an enhanced treatment model that is attentive to their full spectrum of mental health and rehabilitation needs. It is our hope that these findings can inform the development of more effective strategies to decrease suicide among our nation’s most recent veterans.

Acknowledgments

This study was funded by Department of Veterans Affairs, Office of Research and Development, VA Health Services Research and Development Service (DHI 09-237). J. A. Pugh’s and A. Dassori’s salaries were funded by the South Texas Veterans Health Care System. E. P. Finley is an investigator with the Implementation Research Institute, at the George Warren Brown School of Social Work, Washington University in St Louis, through an award from the National Institute of Mental Health (R25 MH080916-01A2) and the Department of Veterans Affairs, Health Services Research and Development Service, Quality Enhancement Research Initiative.

Note. The funding agencies have had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; or preparation, review, or approval of the article. The statements expressed here should not be taken to reflect the opinion of the US Government or Department of Veterans Affairs.

Human Participant Protection

The study was approved by the authors’ institutional review boards before initiation.

References

  • 1.Hoge CW, Auchterlonie JL, Milliken CS. Mental health problems, use of mental health services, and attrition from military services after returning from deployment to Iraq or Afghanistan. JAMA. 2006;295(9):1023–1032. doi: 10.1001/jama.295.9.1023. [DOI] [PubMed] [Google Scholar]
  • 2.Hoge CW, Castro CA, Messer SC, McGurk D, Cotting DI, Koffman RL. Combat duty in Iraq and Afghanistan, mental health problems, and barriers to care. N Engl J Med. 2004;351(1):13–22. doi: 10.1056/NEJMoa040603. [DOI] [PubMed] [Google Scholar]
  • 3.Wells TS, LeardMann CA, Fortuna SO et al. A prospective study of depression following combat deployment in support of the wars in Iraq and Afghanistan. Am J Public Health. 2010;100(1):90–99. doi: 10.2105/AJPH.2008.155432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cohen BE, Gima K, Bertenthal D, Kim S, Marmar CR, Seal KH. Mental health diagnoses and utilization of VA non-mental health medical services among returning Iraq and Afghanistan veterans. J Gen Intern Med. 2010;25(1):18–24. doi: 10.1007/s11606-009-1117-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Seal KH, Bertenthal D, Miner CR, Sen S, Marmar C. Bringing the war back home: mental health disorders among 103,788 US Veterans returning from Iraq and Afghanistan seen at Department of Veterans Affairs facilities. Arch Intern Med. 2007;167(5):476–482. doi: 10.1001/archinte.167.5.476. [DOI] [PubMed] [Google Scholar]
  • 6.Barnes SM, Walter KH, Chard KM. Does a history of mild traumatic brain injury increase suicide risk in veterans with PTSD? Rehabil Psychol. 2012;57(1):18–26. doi: 10.1037/a0027007. [DOI] [PubMed] [Google Scholar]
  • 7.Kaplan MS, Huguet N, McFarland B, Newsom J. Suicide among male veterans: a prospective population-based study. J Epidemiol Community Health. 2007;61(7):619–624. doi: 10.1136/jech.2006.054346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kang HK, Bullman TA. Risk of suicide among U.S. Veterans after returning from the Iraq or Afghanistan war zones. JAMA. 2008;300(6):652–653. doi: 10.1001/jama.300.6.652. [DOI] [PubMed] [Google Scholar]
  • 9.Katz IR, McCarthy JF, Ignacio RV, Kemp J. Suicide among veterans in 16 states, 2005–2008: comparisons between utilizers and nonutilizers of Veterans Health Administration (VHA) services based on data from the National Death Index, the National Violent Death Reporting System, and VHA administrative records. Am J Public Health. 2012;102(suppl 1):S105–S110. doi: 10.2105/AJPH.2011.300503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Defense Casualty Analysis System. Active duty military deaths by year and manner. 2012. Available at: https://www.dmdc.osd.mil/dcas/pages/report_by_year_manner.xhtml. Accessed April 18, 2013.
  • 11.Kemp J, Bossarte R. Washington, DC: Department of Veterans Affairs, Mental Health Services, Suicide Prevention Program; 2012. Suicide data report, 2012. [Google Scholar]
  • 12.VA/DoD Clinical Practice Guideline for Assessment and Management of Patients at Risk for Suicide. Washington, DC: Veterans Affairs, Department of Defense; 2013. [Google Scholar]
  • 13.Weiner J, Richmond TS, Conigliaro J, Wiebe DJ. Military veteran mortality following a survived suicide attempt. BMC Public Health. 2011;11:374. doi: 10.1186/1471-2458-11-374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ilgen MA, McCarthy JF, Ignacio RV et al. Psychopathology, Iraq and Afghanistan service, and suicide among Veterans Health Administration Patients. J Consult Clin Psychol. 2012;80(3):323–330. doi: 10.1037/a0028266. [DOI] [PubMed] [Google Scholar]
  • 15.Pietrzak RH, Goldstein MB, Malley JC, Rivers AJ, Johnson DC, Southwick SM. Risk and protective factors associated with suicidal ideation in veterans of Operations Enduring Freedom and Iraq Freedom. J Affect Disord. 2010;123(1-3):102–107. doi: 10.1016/j.jad.2009.08.001. [DOI] [PubMed] [Google Scholar]
  • 16.Ilgen MA, Bohnert ASB, Ignacio RV et al. Psychiatric diagnoses and risk of suicide in Veterans. Arch Gen Psychiatry. 2010;67(11):1152–1158. doi: 10.1001/archgenpsychiatry.2010.129. [DOI] [PubMed] [Google Scholar]
  • 17.Kaplan MS, McFarland BH, Huguet N, Valenstein MM. Suicide risk and precipitating circumstances among young, middle-aged, and older male veterans. Am J Public Health. 2012;102(suppl 1):S131–S137. doi: 10.2105/AJPH.2011.300445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Seal KH, Metzler TJ, Gima KS, Bertenthal D, Maguen S, Marmar CR. Trends and risk factors for mental health diagnoses among Iraq and Afghanistan veterans using Department of Veterans Affairs health care, 2002–2008. Am J Public Health. 2009;99(9):1651–1658. doi: 10.2105/AJPH.2008.150284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Jakupcak M, Hoerster K, Varra A, Vannoy S, Felker B, Hunt S. Hopelessness and suicidal ideation in Iraq and Afghanistan war veterans reporting subthreshold and threshold posttraumatic stress disorder. J Nerv Ment Dis. 2011;199(4):272–275. doi: 10.1097/NMD.0b013e3182124604. [DOI] [PubMed] [Google Scholar]
  • 20.Guerra VS, Calhoun PS. Mid-Atlantic Mental Illness Research, Education and Clinical Center Workgroup. Examining the relation between posttraumatic stress disorder and suicidal ideation in an OEF/OIF veteran sample. J Anxiety Disord. 2011;25(1):12–18. doi: 10.1016/j.janxdis.2010.06.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wilcox HC, Storr CL, Breslau N. Posttraumatic stress disorder and suicide attempts in a community sample of urban American young adults. Arch Gen Psychiatry. 2009;66(3):305–311. doi: 10.1001/archgenpsychiatry.2008.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Brenner LA, Ignacio RV, Blow FC. Suicide and traumatic brain injury among individuals seeking Veterans Health Administration services. J Head Trauma Rehabil. 2011;26(4):257–264. doi: 10.1097/HTR.0b013e31821fdb6e. [DOI] [PubMed] [Google Scholar]
  • 23.Bryan CJ, Clemens TA. Repetitive traumatic brain injury, psychological symptoms, and suicide risk in a clinical sample of deployed military personnel. JAMA Psychiatry. 2013;70(7):686–691. doi: 10.1001/jamapsychiatry.2013.1093. [DOI] [PubMed] [Google Scholar]
  • 24.Yurgelun-Todd DA, Bueler CE, McGlade EC, Churchwell JC, Brenner LA, Lopez-Larson MP. Neuroimaging correlates of traumatic brain injury and suicidal behavior. J Head Trauma Rehabil. 2011;26(4):276–289. doi: 10.1097/HTR.0b013e31822251dc. [DOI] [PubMed] [Google Scholar]
  • 25.MacGregor AJ, Dougherty AL, Tang JJ, Galarneau MR. Postconcussive symptom reporting among US combat veterans with mild traumatic brain injury from Operation Iraqi Freedom. J Head Trauma Rehabil. 2013;28(1):59–67. doi: 10.1097/HTR.0b013e3182596382. [DOI] [PubMed] [Google Scholar]
  • 26.Bryan CJ, Clemans TA, Hernandez AM, Rudd MD. Loss of consciousness, depression, posttraumatic stress disorder, and suicide risk among deployed military personnel with mild traumatic brain injury. J Head Trauma Rehabil. 2013;28(1):13–20. doi: 10.1097/HTR.0b013e31826c73cc. [DOI] [PubMed] [Google Scholar]
  • 27.Skopp NA, Trofimovich L, Grimes J, Oetjen-Gerdes L, Gahm GA. Relations between suicide and traumatic brain injury, psychiatric diagnoses, and relationship problems, active component, U.S. Armed Forces, 2001–2009. MSMR. 2012;19(2):7–11. [PubMed] [Google Scholar]
  • 28.Gironda RJ, Clark ME, Ruff RL et al. Traumatic brain injury, polytrauma, and pain: challenges and treatment strategies for the polytrauma rehabilitation. Rehabil Psychol. 2009;54(3):247–258. doi: 10.1037/a0016906. [DOI] [PubMed] [Google Scholar]
  • 29.Sayer NA, Chiros CE, Sigford B et al. Characteristics and rehabilitation outcomes among patients with blast and other injuries sustained during the Global War on Terror. Arch Phys Med Rehabil. 2008;89(1):163–170. doi: 10.1016/j.apmr.2007.05.025. [DOI] [PubMed] [Google Scholar]
  • 30.Lew HL, Otis JD, Tun C, Kerns RD, Clark ME, Cifu DX. Prevalence of chronic pain, posttraumatic stress disorder, and persistent postconcussive symptoms in OIF/OEF veterans: polytrauma clinical triad. J Rehabil Res Dev. 2009;46(6):697–702. doi: 10.1682/jrrd.2009.01.0006. [DOI] [PubMed] [Google Scholar]
  • 31.Brotman DJ, Golden SH, Wittstein IS. The cardiovascular toll of stress. Lancet. 2007;370(9592):1089–1100. doi: 10.1016/S0140-6736(07)61305-1. [DOI] [PubMed] [Google Scholar]
  • 32.Ilgen MA, Zivin K, Mccammon RJ, Valenstein MM. Pain and suicidal thoughts, plans, and attempts in the United States. Gen Hosp Psychiatry. 2008;30(6):521–527. doi: 10.1016/j.genhosppsych.2008.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Britton PC, Ilgen MA, Valenstein M, Knox K, Claassen CA, Conner KR. Differences between veteran suicides with and without psychiatric symptoms. Am J Public Health. 2012;102(suppl 1):S125–S130. doi: 10.2105/AJPH.2011.300415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Magruder KM, Yeager D, Brawman-Mintzer O. The role of pain, functioning, and mental health in suicidality among Veterans Affairs primary care patients. Am J Public Health. 2012;102(suppl 1):S118–S124. doi: 10.2105/AJPH.2011.300451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ilgen MA, Conner KR, Roeder KM, Blow FC, Austin K, Valenstein MM. Patterns of treatment utilization before suicide among male veterans with substance use disorders. Am J Public Health. 2012;102(suppl 1):S88–S92. doi: 10.2105/AJPH.2011.300392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Jakupcak M, Cook JW, Imel Z, Fontana A, Rosenheck RA. Posttraumatic stress disorder as a risk factor for suicidal ideation in Iraq and Afghanistan War veterans. J Trauma Stress. 2009;22(4):303–306. doi: 10.1002/jts.20423. [DOI] [PubMed] [Google Scholar]
  • 37.Pigeon WR, Britton PC, Ilgen MA, Chapman B, Conner KR. Sleep disturbance preceding suicide among veterans. Am J Public Health. 2012;102(suppl 1):S93–S97. doi: 10.2105/AJPH.2011.300470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fontana A, Rosenheck R. Attempted suicide among Vietnam veterans: a model of etiology in a community sample. Am J Psychiatry. 1995;152(1):102–109. doi: 10.1176/ajp.152.1.102. [DOI] [PubMed] [Google Scholar]
  • 39.Kaplan MS, McFarland BH, Huguet N, Valenstein M. Suicide risk and precipitation circumstances among young, middle-aged, and older male Veterans. Am J Public Health. 2012;102(suppl 1):S131–S137. doi: 10.2105/AJPH.2011.300445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Buck CJ. 2012 ICD-9-CM for Physicians 2, Professional Edition. Vol 1. St Louis, MO: Elsevier Saunders; 2012. [Google Scholar]
  • 41.Department of Defense. Department of Defense ICD-9 coding guidance for traumatic brain injury. Available at: http://dvbic.dcoe.mil/sites/default/files/DCoE_ICD-9-Coding-Guidance.pdf. Accessed February 12, 2013.
  • 42.Selim AJ, Fincke G, Ren XS et al. Comorbidity assessments based on patient report: results from the Veterans Health Study. J Ambul Care Manage. 2004;27(3):281–295. doi: 10.1097/00004479-200407000-00011. [DOI] [PubMed] [Google Scholar]
  • 43.Deyo RA, Cherkin D, Ciol M. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–619. doi: 10.1016/0895-4356(92)90133-8. [DOI] [PubMed] [Google Scholar]
  • 44.Allison P. Logistic Regression Using SAS: Theory and Application. Cary, NC: SAS Institute; 2001. [Google Scholar]
  • 45.Wickens TD, editor. Multiway Contingency Tables Analysis for the Social Sciences. Hillsdale, NJ: Taylor and Francis Inc; 1989. [Google Scholar]
  • 46.Ilgen MA, Zivin K, Austin K et al. Severe pain predicts greater likelihood of subsequent suicide. Suicide Life Threat Behav. 2010;40(6):597–608. doi: 10.1521/suli.2010.40.6.597. [DOI] [PubMed] [Google Scholar]
  • 47.Bryan CJ, Corso K. Depression, PTSD, and suicidal ideation among active duty veterans in an integrated primary care clinic. Psychol Serv. 2011;8(2):94–103. [Google Scholar]
  • 48.Holtzheimer PE, Russo J, Zatzick D, Bundy C, Roy-Byrne PP. The impact of comorbid posttraumatic stress disorder on short-term clinical outcome in hospitalized patients with depression. Am J Psychiatry. 2005;162(5):970–976. doi: 10.1176/appi.ajp.162.5.970. [DOI] [PubMed] [Google Scholar]
  • 49.Lemaire CM, Graham DP. Factors associated with suicidal ideation in OEF/OIF veterans. J Affect Disord. 2011;130(1-2):231–238. doi: 10.1016/j.jad.2010.10.021. [DOI] [PubMed] [Google Scholar]
  • 50.Kim HM, Smith EG, Ganoczy D et al. Predictors of suicide in patient charts among patients with depression in the Veterans Health Administration health system: importance of prescription drug and alcohol abuse. J Clin Psychiatry. 2012;73(10):e1269–e1275. doi: 10.4088/JCP.12m07658. [DOI] [PubMed] [Google Scholar]
  • 51.Olson-Madden JH, Forster JE, Huggins J, Schneider A. Psychiatric diagnoses, mental health utilization, high-risk behaviors and self-directed violence among veterans with comorbid history of traumatic brain injury and substance use disorders. J Head Trauma Rehabil. 2012;27(5):370–378. doi: 10.1097/HTR.0b013e318268d496. [DOI] [PubMed] [Google Scholar]
  • 52.Grossman LS, Willer JK, Stovall JG, McRae SG, Maxwell S, Nelson R. Underdiagnosis of PTSD and substance use disorders in hospitalized female veterans. Psychiatr Serv. 1997;48(3):393–395. doi: 10.1176/ps.48.3.393. [DOI] [PubMed] [Google Scholar]
  • 53.Bonn-Miller MO, Bucossi MM, Trafton J. The underdiagnosis of cannabis use disorders and other axis-I disorders among military veterans within VHA. Mil Med. 2012;177(7):786–788. doi: 10.7205/milmed-d-12-00052. [DOI] [PubMed] [Google Scholar]
  • 54.Maclean A, Edwards RD. The pervasive role of rank in the health of US Veterans. Armed Forces Soc. 2010;36(5):765–785. doi: 10.1177/0095327X09356166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Bell NS, Harford T, Amoroso PJ, Hollander I, Kay A. Prior health care utilization patterns and suicide among U.S. Army soldiers. Suicide Life Threat Behav. 2010;40(4):407–415. doi: 10.1521/suli.2010.40.4.407. [DOI] [PubMed] [Google Scholar]
  • 56.Owens D, Horrocks J, House A. Fatal and non-fatal repetition of self-harm: systematic review. Br J Psychiatry. 2002;181:193–199. doi: 10.1192/bjp.181.3.193. [DOI] [PubMed] [Google Scholar]
  • 57.Street AE, Vogt DS, Dutra L. A new generation of women veterans: stressors faced by women deployed to Iraq and Afghanistan. Clin Psychol Rev. 2009;29(8):685–694. doi: 10.1016/j.cpr.2009.08.007. [DOI] [PubMed] [Google Scholar]
  • 58.Mattocks KM, Haskell SG, Krebs EE, Justice AC, Yano EM, Brandt C. Women at war: understanding how women veterans cope with combat and military sexual trauma. Soc Sci Med. 2012;74(4):537–545. doi: 10.1016/j.socscimed.2011.10.039. [DOI] [PubMed] [Google Scholar]
  • 59.Kim HM, Smith EG, Stano CM et al. Validation of key behaviorally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse, and tobacco use. BMC Health Serv Res. 2012;12:18. doi: 10.1186/1472-6963-12-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Tanielian T, Jaycox LH. San Diego, CA: RAND Corp; 2008. Invisible wounds of war: psychological and cognitive injuries, their consequences, and services to assist recovery. [Google Scholar]

Articles from American Journal of Public Health are provided here courtesy of American Public Health Association

RESOURCES