Pre-enlistment Anger Attacks and Postenlistment Mental Disorders and Suicidality Among US Army Soldiers

Diana M Smith; Alejandro Meruelo; Laura Campbell-Sills; Xiaoying Sun; Ronald C Kessler; Robert J Ursano; Sonia Jain; Murray B Stein

doi:10.1001/jamanetworkopen.2021.26626

. 2021 Sep 27;4(9):e2126626. doi: 10.1001/jamanetworkopen.2021.26626

Pre-enlistment Anger Attacks and Postenlistment Mental Disorders and Suicidality Among US Army Soldiers

Diana M Smith ¹, Alejandro Meruelo ¹, Laura Campbell-Sills ¹, Xiaoying Sun ², Ronald C Kessler ³, Robert J Ursano ⁴, Sonia Jain ², Murray B Stein ^1,^5,^6,^✉, for the Army STARRS Team

¹Department of Psychiatry, University of California, San Diego, La Jolla

²Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla

³Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts

⁴Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland

⁵Psychiatry Service, Veterans Affairs San Diego Healthcare System, San Diego, California

⁶Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla

Accepted for Publication: July 15, 2021.

Published: September 27, 2021. doi:10.1001/jamanetworkopen.2021.26626

^✉

Corresponding Author: Murray B. Stein, MD, MPH, Department of Psychiatry, University of California, San Diego, 9500 Gilman Dr, Mail Code 0855, La Jolla, CA 92093 (mstein@health.ucsd.edu).

Author Contributions: Ms Sun and Dr Jain had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Smith, Campbell-Sills, Ursano, Stein.

Acquisition, analysis, or interpretation of data: Meruelo, Campbell-Sills, Sun, Kessler, Ursano, Jain, Stein.

Drafting of the manuscript: Smith, Meruelo, Campbell-Sills, Jain, Stein.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Sun, Jain.

Obtained funding: Meruelo, Kessler, Ursano, Stein.

Administrative, technical, or material support: Campbell-Sills, Ursano.

Supervision: Meruelo, Stein.

Conflict of Interest Disclosures: Dr Campbell-Sills reported receiving grants from the US Department of Defense and the National Institute of Mental Health/National Institutes of Health (NIMH/NIH) during the conduct of the study. Dr Kessler reported receiving grants from the NIMH; consulting for Datastat, Inc, Holmusk, and RallyPoint; and stock ownership in Mirah, PYM, and Roga Sciences during the conduct of the study. Dr Stein reported receiving grants from the US Department of Defense, NIMH, and the US Army during the conduct of the study; personal fees from Acadia Pharmaceuticals Inc, Actelion, Aptinyx, ATAI Life Sciences NV, Bionomics Inc, BioXcel Therapeutics, Inc, Boehringer Ingelheim, Clexio Biosciences Ltd, EmpowerPharm, Engrail Therapeutics, Genentech/Roche, GW Pharmaceuticals PLC, Janssen, Jazz Pharmaceuticals Inc, Nobilis Therapeutics, and Oxeia Biopharmaceuticals outside the submitted work; serving on the scientific advisory board for the Anxiety and Depression Association of America and the Brain and Behavior Research Foundation; stock options in EpiVario and Oxeia Biopharmaceuticals; and serving as editor-in-chief for Depression and Anxiety, deputy editor for Biological Psychiatry, and co–editor-in-chief for UpToDate. No other disclosures were reported.

Funding/Support: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) was sponsored by the US Department of the Army and funded under cooperative agreement U01MH087981 (2009-2015) with the US Department of Health and Human Services, NIMH/NIH. The STARRS Longitudinal Study was supported by grant HU0001-15-2-0004 from the US Department of Defense. This work was also supported by grant K23 AA026869 from the National Institute on Alcohol Abuse and Alcoholism (Dr Meruelo).

Role of the Funder/Sponsor: As a cooperative agreement, scientists employed by the NIMH and US Army as liaisons and consultants collaborated to develop the Army STARRS study protocol and data collection instruments and to supervise data collection. The funders had no further role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation or approval of the manuscript; and decision to submit the manuscript for publication.

Group Members: The Army STARRS Team members are as follows: Uniformed Services University of the Health Sciences, Bethesda, Maryland: Robert J. Ursano, MD, Pablo A. Aliaga, MA, David M. Benedek, MD, Carol S. Fullerton, PhD, Robert K. Gifford, PhD, Paul E. Hurwitz, MPH, Tzu-Cheg Kao, PhD, Holly Herberman Mash, PhD, James E. McCarroll, PhD, MPH, James A. Neifeh, PhD, Tsz Hin Hinz Ng, MPH, Patcho Santiago, MD, MPH, and Gary H. Wynn, MD. University of California, San Diego, La Jolla: Murray B. Stein, MD, MPH, Laura Campbell-Sills, PhD, and Sonia Jain, PhD. University of Michigan, Ann Arbor: Steven Heeringa, PhD, James Wagner, PhD, Nancy Gebler, MA, Meredith House, BA, and Lisa Lewandowski-Romps, PhD. Harvard Medical School, Boston, Massachusetts: Ronald C. Kessler, PhD, Nancy A. Sampson, BA, and Alan M. Zaslavsky, PhD. Harvard University, Boston: Matthew K. Nock, PhD. US Army Public Health Center, Arlington, Virginia: Kenneth Cox, MD, MPH.

Disclaimer: The contents of this article are solely the responsibility of the authors and do not necessarily represent the views of the US Department of Health and Human Services, the NIMH, the US Department of the Army, the US Department of Veterans Affairs, or the US Department of Defense.

^✉

Corresponding author.

PMCID: PMC8477262 PMID: 34570207

Key Points

Question

Is a history of anger attacks before enlistment associated with new onset and persistence of mental disorders and suicidality after enlistment among new US Army soldiers?

Findings

In a cohort study of 38 507 new soldiers, a pre-enlistment history of impairing anger attacks (ie, attacks causing life interference) was significantly associated with postenlistment onset of major depression, generalized anxiety disorder (GAD), panic disorder, and suicidal ideation. These associations were partly explained by psychiatric comorbidity; however, impairing anger attacks were independently associated with new onset of GAD and suicidal ideation.

Meaning

These findings suggest that detection of impairing anger attacks could aid in assessing elevated risk of developing anxiety disorders, depression, and suicidality after enlistment.

This cohort study uses data from the Army STARRS New Soldier Study to investigate whether pre-enlistment anger attacks are associated with new onset and persistence of mental disorders and suicidality after enlistment in a US Army sample.

Abstract

Importance

Anger is linked to adverse outcomes in military populations; however, whether pre-enlistment anger attacks are associated with postenlistment mental disorders and suicidality is unknown.

Objective

To explore the associations of pre-enlistment anger attacks with postenlistment mental health.

Design, Setting, and Participants

In this observational cohort study, the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) New Soldier Study (NSS) surveyed soldiers entering basic training from April 2011 to November 2012, with a subsample recruited for wave 1 of the STARRS Longitudinal Study (STARRS-LS) (conducted September 2016 to April 2018). Participants were recruited from 3 US Army installations for the NSS survey. Those who were subsequently contacted for STARRS-LS completed the follow-up survey via web or telephone. Prospective analyses were based on a weighted NSS subsample included in wave 1 of STARRS-LS. Data were analyzed from May 22, 2020, to March 17, 2021.

Exposures

History of anger attacks at baseline (NSS). Survey responses were used to classify new soldiers as having nonimpairing anger attacks (>2 attacks without interference in work or personal life), impairing anger attacks (>2 attacks with interference in work or personal life), or no significant history of anger attacks.

Main Outcomes and Measures

Baseline analyses examined sociodemographic and clinical correlates of a history of anger attacks. Prospective logistic regression models estimated associations of baseline history of anger attacks with new onset and persistence of posttraumatic stress disorder, major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder, mania/hypomania, substance use disorder, suicidal ideation, and suicide attempt at wave 1 of STARRS-LS.

Results

Of the 38 507 baseline participants (83.0% male and 17.0% female; mean [SD] age, 20.97 [3.57] years), 6216 were selected for and completed wave 1 of the STARRS-LS. Baseline prevalence (SE) of nonimpairing and impairing anger attacks was 8.83% (0.16%) and 5.75% (0.15%), respectively. Prospective models showed that impairing anger attacks were associated with new onset of MDD (adjusted odds ratio [AOR], 1.98; 95% CI, 1.31-2.99), GAD (AOR, 2.39; 95% CI, 1.66-3.45), panic disorder (AOR, 2.02; 95% CI, 1.34-3.05), and suicidal ideation (AOR, 2.11; 95% CI, 1.45-3.07). When baseline psychiatric comorbidity was controlled for, impairing attacks remained associated with onset of GAD (AOR, 1.75; 95% CI, 1.19-2.58) and suicidal ideation (AOR, 1.62; 95% CI, 1.09-2.42). Anger attacks were not significantly associated with persistence of pre-enlistment mental disorders.

Conclusions and Relevance

The findings of this study suggest that a pre-enlistment history of impairing anger attacks may be associated with elevated risk of developing GAD, MDD, and suicidality after enlistment. Detection of impairing anger attacks could aid in assessing psychiatric risk in new soldiers.

Introduction

Anger is experienced by all humans to varying degrees, including in situations where it may be adaptive. However, excessive anger can be pathological, and extreme cases can indicate psychiatric illness. Intermittent explosive disorder (IED), characterized by repeated outbursts of verbal or physical aggression (anger attacks), affects approximately 4% to 7% of the US population in their lifetimes.^1,2 In military populations, it is even more common, with 11.4% of active duty Army personnel meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for past 30-day IED.³ Notably, several studies^4,5,6 have found associations between IED and subsequent suicidal ideation and attempts in soldiers.

The New Soldier Study (NSS) of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)⁷ also found high prevalence (14.6%) of lifetime DSM-IV IED among soldiers starting basic training.⁸ Since the development of the NSS survey, the criteria for IED have been revised for the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5).⁹ Anger attacks remain the cardinal feature of IED, but the DSM-5 definition requires greater frequency of attacks and significant life interference or marked distress.¹⁰ Despite these definitional changes, the study of anger attacks stemming from DSM-IV criteria remains relevant because evidence suggests that a range of anger-related problems (eg, aggression, hostility) are associated with adverse outcomes among service members. For example, anger problems evaluated outside DSM-IV or DSM-5 IED criteria have been associated with suicidality¹¹ and have been found to mediate the association between posttraumatic stress disorder (PTSD) and suicidality among veterans.^11,12

Whereas prior studies provide vital information about the risk of suicide-related outcomes in service members with IED and other anger problems,^4,5,6 further investigation is needed to understand the association between anger and other mental health problems in military populations. Moreover, previous studies have primarily used cross-sectional data; thus, the evidence that anger problems predispose service members to later mental health problems is limited. Accordingly, the present study aimed to examine baseline correlates and psychiatric sequelae of anger attacks in the NSS sample. In particular, we investigated the prospective associations of pre-enlistment anger attacks with new onset and persistence of mental disorders and suicidality after enlistment.

Methods

Overview/Participants

The NSS surveyed soldiers beginning basic combat training at 3 US Army installations from April 2011 to November 2012.^7,13,14 Data collection methods are detailed elsewhere⁸; all Army STARRS survey instruments are available online (https://www.starrs-ls.org/#/page/instruments). After providing written informed consent, participants completed a computer-based self-administered questionnaire that included demographic and diagnostic measures. Recruitment, informed consent, and data collection procedures were approved by the Human Subjects Committees of the Uniformed Services University of the Health Sciences, Bethesda, Maryland, for the Henry M. Jackson Foundation for the Advancement of Military Medicine (the primary grantee), the Institute for Social Research at the University of Michigan, Ann Arbor (the organization collecting the data), Harvard Medical School, Boston, Massachusetts, and University of California, San Diego, La Jolla. This report follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cohort studies.

Nearly all (99.9%) selected soldiers consented to the NSS self-administered questionnaire, and 93.5% completed it. Most completers (77.1%) consented to linkage of questionnaire data to their Army/US Department of Defense records; these 38 507 soldiers constituted the eligible sample for the present study. Weights were used to account for potential response bias related to survey completion vs noncompletion and consenting to vs refusing administrative record linkage.¹⁵

The STARRS Longitudinal Study (STARRS-LS) is a follow-up study of soldiers who participated in Army STARRS surveys; wave 1 data were collected from September 2016 to April 2018. The prospective analysis was conducted in a subsample of 6216 soldiers whose NSS data were successfully linked to STARRS-LS wave 1 data. Analyses of STARRS-LS data incorporated weights that adjusted for the stratified sampling strategy (eMethods in the Supplement). The mean interval from baseline (NSS) to follow-up (STARRS-LS wave 1) was 5.25 (range, 3.85-6.83) years.

Measures

History of Anger Attacks

The NSS survey evaluated anger attacks, described as episodes “when all of a sudden you lost control and either broke or smashed something worth more than a few dollars, hit or tried to hurt someone, or threatened someone.” Episodes were counted as anger attacks only if respondents reported (1) difficulty controlling the aggressive impulse, experiencing attacks in situations where most people would not get angry, or high frequency of attacks (>10 lifetime attacks) and (2) that attacks had occurred when they were not using alcohol or drugs. A history of anger attacks was considered present only if attacks were recurrent; this was determined based on responses to an item assessing how many attacks respondents had experienced in their lifetimes (1 or 2, 3-5, 6-10…to ≥101). Given that the DSM-5 revision of the IED category included the addition of a life interference/distress criterion, we compared the characteristics and risk profiles of soldiers with a pre-enlistment history of nonimpairing anger attacks vs impairing anger attacks to examine possible clinical implications of this distinction. Soldiers were classified as having nonimpairing anger attacks if they reported more than 2 lifetime anger attacks that had interfered with their work or personal lives a little of the time or none of the time. Soldiers were classified as having impairing anger attacks if they reported more than 2 anger attacks that had interfered some of the time, most of the time, or all/almost all the time. The remainder of the sample was classified as having no significant history of anger attacks.

Sociodemographic and Service Characteristics

Age, sex, race and ethnicity, educational attainment, marital status, service component (Regular Army, Guard, or Reserve), and enrollment site were included as covariates in all regression models. In addition, the prospective models adjusted for self-reported deployment status (ever vs never deployed) and military status at follow-up (active duty, activated Guard/Reserve, Guard/Reserve [not currently activated], retired, or separated).

Mental Disorders and Suicidality

Respondents to the NSS completed items adapted from the Composite International Diagnostic Interview screening scales¹⁶ and PTSD Checklist–Civilian Version¹⁷ to assess lifetime DSM-IV diagnoses including PTSD, major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder (PD), conduct disorder, oppositional defiant disorder, mania/hypomania, and substance use disorder (SUD). Diagnoses based on the Composite International Diagnostic Interview screening scales and PTSD Checklist–Civilian Version showed satisfactory concordance with diagnoses from structured clinical interviews.¹⁸ Lifetime suicidal ideation and attempt were assessed using a self-reported version of the Columbia–Suicide Severity Rating Scale.¹⁹ The cross-sectional analysis examined associations of anger attacks with each mental disorder diagnosis, suicidal ideation, and suicide attempt. For the prospective analysis, we derived 2 composite diagnostic variables, which reflect baseline psychiatric comorbidity. These were lifetime pre-enlistment history of internalizing disorder (yes if lifetime PTSD, MDD, mania/hypomania, GAD, or PD) and lifetime pre-enlistment history of externalizing disorder (yes if conduct disorder, oppositional defiant disorder, or SUD). Disorder groupings were based on evidence from large-scale epidemiological studies.^20,21

The STARRS-LS wave 1 survey contained analogous measures of mental disorders and suicidality, except that survey sections were updated to reflect DSM-5 criteria. The outcomes of interest at follow-up were past 12-month PTSD, MDD, GAD, PD, mania/hypomania, suicidal ideation, suicide attempt, and past 30-day SUD (past 12-month SUD was not assessed). In defining outcomes for the prospective analysis, we differentiated between new onset and persistence of conditions. New onset was defined as reporting no lifetime history of a disorder in the NSS survey but meeting criteria for that disorder in the STARRS-LS wave 1 survey. Persistence of a disorder was defined as reporting lifetime history of a disorder in the NSS survey and reporting recent symptoms of that disorder in the STARRS-LS wave 1 survey. We aimed to model new onset and persistence of each outcome but were unable to fit persistence models of PD, mania/hypomania, and suicide attempt owing to low baseline prevalence.

Statistical Analysis

Baseline Analyses

Sociodemographic characteristics of new soldiers with impairing vs nonimpairing vs no anger attacks were compared using Kruskal-Wallis tests for continuous variables and Fisher exact tests for categorical variables. When omnibus test findings were significant, pairwise comparisons were performed. A series of weight-adjusted logistic regression models were fit to estimate the associations of nonimpairing and impairing anger attacks with lifetime mental disorders, suicidal ideation, and suicide attempt (as reported in the NSS survey). These cross-sectional models included covariates for age, sex, race and ethnicity, educational attainment, marital status, and site of basic combat training.

Prospective Analyses

Two sets of weight-adjusted logistic regression models were fit to examine the association of pre-enlistment history of anger attacks (measured in the NSS) with new onset and persistence of mental health problems at wave 1 of the STARRS-LS. The first set of prospective models estimated the associations of pre-enlistment anger attacks with postenlistment mental health outcomes after adjustment for sociodemographic and service variables (age, sex, race and ethnicity, educational attainment, marital status, site of basic combat training, deployment history at follow-up, and military status at follow-up). To assess whether any associations between pre-enlistment anger attacks and postenlistment mental health outcomes were explained by psychiatric comorbidity, we fit a second set of prospective models that added controls for lifetime internalizing disorder and lifetime externalizing disorder at baseline. The fully adjusted model of new-onset suicide attempt also controlled for lifetime suicidal ideation at baseline.

Data were analyzed from May 22, 2020, to March 17, 2021. Two-tailed P < .05 was considered statistically significant for all analyses except for pairwise comparisons, to which a Bonferroni correction was applied and for which 2-tailed P < .017 was considered statistically significant. Analyses were conducted in R, version 3.6.1.²²

Results

The NSS sample consisted of 38 507 participants (83.0% male and 17.0% female; mean [SD] age, 20.97 [3.57] years). Of these, 6216 participants were selected for and completed wave 1 of STARRS-LS. Weighted prevalence of nonimpairing and impairing anger attacks in the NSS baseline sample was 8.83% (SE, 0.16%) and 5.75% (SE, 0.15%), respectively. Figure 1 shows the distribution of anger attack frequency among soldiers who reported recurrent anger attacks and highlights that soldiers with more frequent attacks were more likely to report impairment (eg, 27.0% of those with impairing attacks reported >50 attacks in their lifetime, compared with 11.6% of those with nonimpairing attacks). Table 1 shows sociodemographic and service characteristics by history of anger attacks. Compared with the group without anger attacks, both anger attack groups were younger, had relatively more male and non-Hispanic White soldiers, and had fewer college-educated and married soldiers. Sociodemographic characteristics of new soldiers with nonimpairing vs impairing anger attacks were similar.

Figure 1. — Anger attack frequency was significantly associated with impairment status, with participants with a history of impairing anger attacks reporting a higher total number of lifetime anger attacks (P < .001).

Table 1. Distribution and Associations of Baseline Characteristics With Pre-enlistment Anger Attacks.

Characteristic	History of anger attacks (N = 38 507)^a			P value^b	Pairwise comparisons
Characteristic	None (n = 32 977)	Nonimpairing (n = 3392)	Impairing (n = 2138)	P value^b	None vs nonimpairing	None vs impairing	Nonimpairing vs impairing
Age, mean (SD), y	21.07 (3.63)	20.47 (3.18)	20.16 (2.90)	<.001	<.001	<.001	<.001
Sex
Male	27 165 (82.4)	2963 (87.4)	1838 (86.0)	<.001	<.001	<.001	.14
Female	5812 (17.6)	429 (12.6)	300 (14.0)	<.001	<.001	<.001	.14
Race and ethnicity
Hispanic	5121 (15.5)	410 (12.1)	248 (11.6)	<.001	<.001	<.001	.20
Non-Hispanic
Black	5831 (17.7)	457 (13.5)	275 (12.9)
White	19 670 (59.6)	2275 (67.1)	1484 (69.4)
Non-Hispanic other^c	2355 (7.1)	250 (7.4)	131 (6.1)
Educational attainment
GED	3756 (11.4)	399 (11.8)	234 (10.9)	<.001	<.001	<.001	.22
High school	26 923 (81.6)	2841 (83.8)	1825 (85.4)
College	2298 (7.0)	152 (4.5)	79 (3.7)
Marital status
Married	4083 (12.4)	335 (9.9)	210 (9.8)	<.001	<.001	<.001	.96
Unmarried	28 894 (87.6)	3057 (90.1)	1928 (90.2)	<.001	<.001	<.001	.96
Service component
Regular Army	18 711 (56.7)	1937 (57.1)	1192 (55.8)	.006	.34	<.001	.12
National Guard	9304 (28.2)	977 (28.8)	669 (31.3)
Reserve	4962 (15.0)	478 (14.1)	277 (13.0)

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Abbreviation: GED, General Educational Development.

^{^a}

Unless otherwise indicated, data are expressed as number (%) of participants. Percentages have been rounded and may not total 100.

^{^b}

Statistical significance of between-groups differences was evaluated using Kruskal-Wallis test for age and Fisher exact test for the rest of the variables.

^{^c}

Includes American Indian or Alaskan Native, Asian, Native Hawaiian or other Pacific Islander, and other.

Figure 2 shows results of logistic regression models assessing the cross-sectional associations of a history of anger attacks with lifetime mental health conditions in the NSS. New soldiers with nonimpairing anger attacks had higher odds of lifetime suicide attempts (adjusted odds ratio [AOR], 2.79; 95% CI, 2.10-3.71), suicidal ideation (AOR, 2.72; 95% CI, 2.47-3.00), SUD (AOR, 2.32; 95% CI, 2.10-2.56), PTSD (AOR, 3.05; 95% CI, 2.75-3.38), PD (AOR, 4.16; 95% CI, 3.59-4.81), oppositional defiant disorder (AOR, 4.03; 95% CI, 3.65-4.45), MDD (AOR, 2.64; 95% CI, 2.28-3.06), mania/hypomania (AOR, 3.27; 95% CI, 2.71-3.95), GAD (AOR, 2.77; 95% CI, 2.42-3.18), and conduct disorder (AOR, 3.13; 95% CI, 2.74-3.59) compared with the group without anger attacks. New soldiers with impairing anger attacks also had higher odds of lifetime suicide attempts (AOR, 7.44; 95% CI, 6.07-9.10), suicidal ideation (AOR, 4.97; 95% CI, 4.46-5.55), SUD (AOR, 4.18; 95% CI, 3.78-4.62), PTSD (AOR, 10.46; 95% CI, 9.39-11.66), PD (AOR, 11.75; 95% CI, 10.07-13.72), oppositional defiant disorder (AOR, 8.47; 95% CI, 7.70-9.31), MDD (AOR, 9.12; 95% CI, 7.98-10.41), mania/hypomania (AOR, 12.35; 95% CI, 10.32-14.78), GAD (AOR, 11.13; 95% CI, 9.73-12.74), and conduct disorder (AOR, 5.80; 95% CI, 5.02-6.70) compared with the group without anger attacks.

The first set of prospective models (partial models in Table 2), which adjusted for sociodemographic and service variables, showed that, in most cases, adjusted odds of the outcomes were significantly elevated for soldiers with impairing anger attacks at baseline, but not for those with nonimpairing attacks. Pre-enlistment impairing anger attacks were associated with new onset of MDD (AOR, 1.98; 95% CI, 1.31-2.99), GAD (AOR, 2.39; 95% CI, 1.66-3.45), PD (AOR, 2.02; 95% CI, 1.34-3.05), and suicidal ideation (AOR, 2.11; 95% CI, 1.45-3.07) (P < .001 for all), but not PTSD (AOR, 1.52; 95% CI, 0.90-2.56), mania/hypomania (AOR, 1.26; 95% CI, 0.53-3.00), SUD (AOR, 1.42; 95% CI, 0.70-2.88), or suicide attempt (AOR, 2.77; 95% CI, 0.80-9.60) (P > .10 for all). Nonimpairing anger attacks were significantly associated with first suicide attempt (AOR, 2.21; 95% CI, 1.05-4.65; P = .04), but not with the other psychiatric outcomes tested. Models investigating suicide attempts at follow-up were limited by the small number of participants reporting suicide attempts. A history of anger attacks at baseline was not associated with persistence of pre-enlistment mental health problems.

Table 2. Associations Between Anger Attack and Mental Disorder Variables at Baseline and New Onset of Mental Health Outcomes at Follow-up^a.

Outcome	No. of participants in model	Independent variable of interest, AOR (95% CI)
		Partial models, anger attacks		Full models
		Nonimpairing	Impairing	Anger attacks		Internalizing disorder^b	Externalizing disorder^c
		Nonimpairing	Impairing	Nonimpairing	Impairing	Internalizing disorder^b	Externalizing disorder^c
PTSD	5233	1.07 (0.71-1.62)	1.52 (0.90-2.56)	0.99 (0.64-1.53)	1.24 (0.73-2.10)	1.38 (1.00-1.89)^d	1.21 (0.90-1.62)
MDD	5629	1.05 (0.78-1.41)	1.98 (1.31-2.99)^e	0.93 (0.68-1.28)	1.50 (0.97-2.33)	1.55 (1.23-1.96)^f	1.23 (0.95-1.58)
GAD	5617	0.95 (0.70-1.30)	2.39 (1.66-3.45)^f	0.83 (0.59-1.17)	1.75 (1.19-2.58)^e	1.66 (1.30-2.11)^f	1.22 (0.95-1.55)
PD	6011	1.39 (0.97-2.01)	2.02 (1.34-3.05)^e	1.17 (0.81-1.70)	1.38 (0.95-2.02)	1.68 (1.33-2.12)^f	1.32 (0.99-1.76)
Mania/hypomania	5932	1.46 (0.64-3.35)	1.26 (0.53-3.00)	1.30 (0.54-3.14)	0.99 (0.37-2.67)	1.29 (0.77-2.17)	1.31 (0.81-2.12)
SUD	5243	1.52 (0.97-2.37)	1.42 (0.70-2.88)	1.34 (0.85-2.13)	1.04 (0.53-2.05)	1.46 (1.07-1.99)^d	1.34 (0.92-1.94)
Suicidal ideation	4881	0.81 (0.53-1.22)	2.11 (1.45-3.07)^f	0.72 (0.47-1.11)	1.62 (1.09-2.42)^d	1.37 (1.05-1.79)^d	1.29 (0.95-1.75)
Suicide attempt^g	6062	2.21 (1.05-4.65)^d	2.77 (0.80-9.60)	1.63 (0.76-3.51)	1.42 (0.40-5.03)	1.81 (0.89-3.69)	1.34 (0.64-2.82)

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Abbreviations: AOR, adjusted odds ratio; GAD, generalized anxiety disorder; MDD, major depressive disorder; PD, panic disorder; PTSD, posttraumatic stress disorder; SUD, substance use disorder.

^{^a}

Outcomes were measured at wave 1 of the STARRS (Study to Assess Risk and Resilience in Servicemembers) Longitudinal Study, approximately 5 years after participants completed the baseline New Soldier Study survey. The numbers vary because the models evaluate new onset of mental health problems and exclude soldiers who reported the specified outcome at baseline. Partial and full models also adjusted for age, sex, race and ethnicity, educational attainment, marital status, and site of basic combat training (all measured at baseline), as well as deployment history and military status at follow-up.

^{^b}

Indicates pre-enlistment history of internalizing disorder (yes if lifetime PTSD, MDD, mania/hypomania, GAD, or PD).

^{^c}

Indicates pre-enlistment history of externalizing disorder (yes if conduct disorder, oppositional defiant disorder, or SUD).

^{^d}

P < .05.

^{^e}

P < .01.

^{^f}

P < .001.

^{^g}

The full model of new onset of suicide attempt also included lifetime suicidal ideation at baseline as an independent variable, and that association was nonsignificant (AOR, 1.94; 95% CI, 0.82-4.59).

Subsequent models (full models in Table 2) added controls for baseline psychiatric comorbidity. Pre-enlistment impairing anger attacks were no longer associated with new onset of MDD and PD, with model results suggesting that those associations were explained by internalizing disorders at baseline. Pre-enlistment impairing anger attacks remained significantly associated with new onset of GAD (AOR, 1.75; 95% CI, 1.19-2.58; P < .001) and suicidal ideation (AOR, 1.62; 95% CI, 1.09-2.42; P = .02), although these associations were attenuated compared with those of the partial models. The association between pre-enlistment nonimpairing anger attacks and suicide attempt became nonsignificant when baseline psychiatric comorbidity was added to the model.

Discussion

The present study examines the baseline correlates and psychiatric sequelae of anger attacks among new US Army soldiers. Compared with a previous study that found DSM-IV IED was highly prevalent in this sample (14.6%),⁸ we found that recurrent anger attacks that caused substantial life interference (resembling those that characterize DSM-5 IED) were less common among new soldiers, with a prevalence of 5.75%. Impairing anger attacks were associated with markedly increased rates of lifetime psychiatric disorders, as well as an elevated risk of postenlistment new onset of MDD, GAD, PD, and suicidal ideation.

New soldiers with a history of impairing vs nonimpairing anger attacks reported more lifetime episodes, with approximately one-quarter reporting more than 50 anger attacks in their lifetimes. New soldiers with either type of anger attacks were more likely to be young, White, and male and less likely to be married or college-educated than those without a history of anger attacks. This adds to other evidence indicating that IED and related outcomes (eg, problematic anger, aggression) are associated with younger age, male sex, unmarried status, and lower educational/economic status.^{23,24,25,26,27} Results of previous research examining racial and ethnic differences in anger-related outcomes have been mixed, with some studies finding increased prevalence among individuals identifying as Black,²⁴ Native American,²⁸ and other race and ethnicity² compared with White US individuals. These inconsistent findings suggest that more research is needed to clarify the association between race and ethnicity (and other sociodemographic characteristics) and anger-related outcomes, in both military and nonmilitary samples.

Compared with those without anger attacks, new soldiers with anger attacks were more likely to report lifetime mental disorders, suicidal ideation, and suicide attempt. Impairing anger attacks were associated with markedly elevated comorbidity rates (4-fold to 12-fold risk), whereas nonimpairing anger attacks were associated with a 2-fold to 4-fold risk of other mental health problems. This implies that recurrent anger attacks, which may be more readily apparent and subject to less stigma in this population compared with other emotional problems,^29,30 signal higher likelihood of anxiety, mood, and stress-related disorders and SUDs in new soldiers. Moreover, when anger attacks cause substantial life interference, the odds of psychiatric comorbidities greatly increase, with particularly elevated (>10 times) risk of mania/hypomania, PD, GAD, and PTSD.

In prospective analyses adjusted for sociodemographic and service variables, new soldiers with impairing anger attacks were at increased risk of postenlistment onset of MDD, GAD, PD, and suicidal ideation. Soldiers who reported nonimpairing attacks did not exhibit higher risk of those mental health outcomes but had significantly elevated risk of a first suicide attempt after enlistment. (Although the risk also appeared elevated in those with impairing anger attacks, that association was nonsignificant, probably owing to smaller subgroup size.) These results imply that impairing anger attacks signal heightened vulnerability to developing anxiety disorders, depression, and suicidality after enlistment and that even anger attacks that are perceived as nonimpairing may indicate an increased risk of suicide attempt.

Further analyses investigated whether the associations between pre-enlistment anger attacks and later mental health problems were explained by co-occurring mental disorders at baseline. Notably, impairing anger attacks remained significantly associated with GAD and suicidal ideation, even after adjustment for pre-enlistment internalizing and externalizing disorders. Thus, detection of impairing anger attacks could aid in assessing risk of GAD and suicidality in soldiers, even when psychiatric history is known. This possibility is perhaps most significant given concerns about the Army suicide rate, which has risen in recent years.³¹

Future studies may help to shed light on potential mechanisms for the prospective associations observed in this study. It is unknown why impairing anger attacks would contribute uniquely to GAD and suicidal ideation, but not other emotional disorders. However, the occurrence of anger attacks seems to imply serious deficits in emotion regulation and social problem-solving. Theoretical accounts and empirical evidence implicate emotion regulation deficits in the etiology of GAD^32,33 and social problem-solving deficits in the development of suicidal ideation³⁴; thus, these may be fruitful avenues for further inquiry. Interventions to reduce anger attacks (or emotional regulation/problem-solving deficits) might help to prevent GAD and suicidal ideation in soldiers.

The study findings appear to support the addition of the criterion for IED diagnosis in DSM-5 requiring that anger attacks cause marked distress, impairment in occupational or interpersonal functioning, or financial or legal consequences.⁹ Such a requirement indeed appears to identify more severe psychopathology, as indicated by more pervasive symptoms (eg, more lifetime anger attacks), markedly higher psychiatric comorbidity, and elevated incidence of subsequent anxiety disorders, mood disorders, and suicidal ideation in those with impairing anger attacks. However, our data also indicate that the issue of insight into interference caused by anger attacks is worth considering, because a sizable proportion of soldiers who reported minimal life interference reported high frequency of anger attacks (eg, 11.6% reported >50 lifetime attacks). Specific questions about interpersonal and work-related problems may be helpful in characterizing impairment related to anger attacks.

Limitations

These results should be considered in light of several limitations. Mental health variables, including history of anger attacks, were assessed using self-report measures, which are vulnerable to inaccurate recall and response bias. Suicide attempts were rarely reported, and our study may have been underpowered to detect significant associations between baseline variables and this outcome. In addition, although we included a number of potential confounds as covariates, it is possible that other, unmeasured variables explain the associations between history of anger attacks at baseline and mental health status at follow-up. Finally, this sample is representative of new Army soldiers; these results may not generalize to more experienced soldiers, members of other service branches, or the general adult population.

Conclusions

As shown in this cohort study, a history of anger attacks is common in new soldiers and associated both cross-sectionally and prospectively with a range of mental health problems. Pre-enlistment anger attacks that lead to substantial life interference, such as those characterizing DSM-5 IED, may be a risk marker for GAD, MDD, PD, and suicidality after enlistment. Moreover, detection of impairing anger attacks could aid in psychiatric risk assessment in new soldiers, even when pre-enlistment psychiatric history is known. Further investigation of anger-related problems in the military population is imperative and may inform future mental health monitoring and intervention.

Supplement.

eMethods. Additional Information About STARRS-Longitudinal Study (STARRS-LS) Sampling

Click here for additional data file.^{(130KB, pdf)}

References

1.Coccaro EF, McCloskey MS. Phenomenology of Impulsive Aggression and Intermittent Explosive Disorder. Elsevier; 2019:37-65. doi: 10.1016/B978-0-12-813858-8.00003-6 [DOI] [Google Scholar]
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12.Dillon KH, Van Voorhees EE, Dennis PA, et al. Anger mediates the relationship between posttraumatic stress disorder and suicidal ideation in veterans. J Affect Disord. 2020;269:117-124. doi: 10.1016/j.jad.2020.03.053 [DOI] [PMC free article] [PubMed] [Google Scholar]
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22.R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2016.
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25.Hourani LL, Williams J, Lattimore PK, Trudeau JV, Van Dorn RA. Psychological model of military aggressive behavior: findings from population-based surveys. Mil Psychol. 2017;29(5):381-395. doi: 10.1037/mil0000172 [DOI] [Google Scholar]
26.Renshaw KD, Kiddie NS. Internal anger and external expressions of aggression in OEF/OIF veterans. Mil Psychol. 2012;24(3):221-235. doi: 10.1080/08995605.2012.678197 [DOI] [Google Scholar]
27.Adler AB, LeardMann CA, Roenfeldt KA, Jacobson IG, Forbes D; Millennium Cohort Study Team . Magnitude of problematic anger and its predictors in the Millennium Cohort. BMC Public Health. 2020;20(1):1168. doi: 10.1186/s12889-020-09206-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
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30.Adler AB, Wright KM, Bliese PD, Eckford R, Hoge CW. A2 diagnostic criterion for combat-related posttraumatic stress disorder. J Trauma Stress. 2008;21(3):301-308. doi: 10.1002/jts.20336 [DOI] [PubMed] [Google Scholar]
31.Van Winkle EP, Orvis KA. Department of Defense calendar year 2019 annual suicide report. 2020. Accessed March 24, 2021. https://www.dspo.mil/ASR/
32.Behar E, DiMarco ID, Hekler EB, Mohlman J, Staples AM. Current theoretical models of generalized anxiety disorder (GAD): conceptual review and treatment implications. J Anxiety Disord. 2009;23(8):1011-1023. doi: 10.1016/j.janxdis.2009.07.006 [DOI] [PubMed] [Google Scholar]
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34.Chu C, Walker KL, Stanley IH, et al. Perceived problem-solving deficits and suicidal ideation: evidence for the explanatory roles of thwarted belongingness and perceived burdensomeness in five samples. J Pers Soc Psychol. 2018;115(1):137-160. doi: 10.1037/pspp0000152 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplement.

eMethods. Additional Information About STARRS-Longitudinal Study (STARRS-LS) Sampling

Click here for additional data file.^{(130KB, pdf)}

[zoi210779r1] 1.Coccaro EF, McCloskey MS. Phenomenology of Impulsive Aggression and Intermittent Explosive Disorder. Elsevier; 2019:37-65. doi: 10.1016/B978-0-12-813858-8.00003-6 [DOI] [Google Scholar]

[zoi210779r2] 2.Kessler RC, Coccaro EF, Fava M, Jaeger S, Jin R, Walters E. The prevalence and correlates of DSM-IV intermittent explosive disorder in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2006;63(6):669-678. doi: 10.1001/archpsyc.63.6.669 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r3] 3.Kessler RC, Heeringa SG, Stein MB, et al. ; Army STARRS Collaborators . Thirty-day prevalence of DSM-IV mental disorders among nondeployed soldiers in the US Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry. 2014;71(5):504-513. doi: 10.1001/jamapsychiatry.2014.28 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r4] 4.Millner AJ, Ursano RJ, Hwang I, et al. ; STARRS-LS collaborators . Prior mental disorders and lifetime suicidal behaviors among US Army soldiers in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Suicide Life Threat Behav. 2019;49(1):3-22. doi: 10.1111/sltb.12394 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r5] 5.Nock MK, Ursano RJ, Heeringa SG, et al. ; Army STARRS Collaborators . Mental disorders, comorbidity, and pre-enlistment suicidal behavior among new soldiers in the US Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Suicide Life Threat Behav. 2015;45(5):588-599. doi: 10.1111/sltb.12153 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r6] 6.Nock MK, Stein MB, Heeringa SG, et al. ; Army STARRS Collaborators . Prevalence and correlates of suicidal behavior among soldiers: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry. 2014;71(5):514-522. doi: 10.1001/jamapsychiatry.2014.30 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r7] 7.Ursano RJ, Colpe LJ, Heeringa SG, Kessler RC, Schoenbaum M, Stein MB; Army STARRS collaborators . The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Psychiatry. 2014;77(2):107-119. doi: 10.1521/psyc.2014.77.2.107 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r8] 8.Rosellini AJ, Heeringa SG, Stein MB, et al. Lifetime prevalence of DSM-IV mental disorders among new soldiers in the US Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Depress Anxiety. 2015;32(1):13-24. doi: 10.1002/da.22316 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r9] 9.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Association; 2013. [Google Scholar]

[zoi210779r10] 10.Substance Abuse and Mental Health Services Administration . Table 3.18. DSM-IV to DSM-5 intermittent explosive disorder comparison. In: Impact of the DSM-IV to DSM-5 Changes on the National Survey on Drug Use and Health. Substance Abuse and Mental Health Services Administration; 2016. Accessed March 24, 2021. https://www.ncbi.nlm.nih.gov/books/NBK519704/table/ch3.t18/ [Google Scholar]

[zoi210779r11] 11.Wilks CR, Morland LA, Dillon KH, et al. ; VA Mid-Atlantic MIRECC Workgroup . Anger, social support, and suicide risk in US military veterans. J Psychiatr Res. 2019;109:139-144. doi: 10.1016/j.jpsychires.2018.11.026 [DOI] [PubMed] [Google Scholar]

[zoi210779r12] 12.Dillon KH, Van Voorhees EE, Dennis PA, et al. Anger mediates the relationship between posttraumatic stress disorder and suicidal ideation in veterans. J Affect Disord. 2020;269:117-124. doi: 10.1016/j.jad.2020.03.053 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r13] 13.Kessler RC, Colpe LJ, Fullerton CS, et al. Design of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Int J Methods Psychiatr Res. 2013;22(4):267-275. doi: 10.1002/mpr.1401 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r14] 14.Heeringa SG, Gebler N, Colpe LJ, et al. Field procedures in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Int J Methods Psychiatr Res. 2013;22(4):276-287. doi: 10.1002/mpr.1400 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r15] 15.Kessler RC, Heeringa SG, Colpe LJ, et al. Response bias, weighting adjustments, and design effects in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Int J Methods Psychiatr Res. 2013;22(4):288-302. doi: 10.1002/mpr.1399 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r16] 16.Kessler RC, Ustün TB. The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res. 2004;13(2):93-121. doi: 10.1002/mpr.168 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r17] 17.Weathers FW, Litz BT, Herman DS, Huska JA, Keane TM. The PTSD Checklist-Civilian Version (PCL-C). National Center for PTSD–Behavioral Science Division; 1994. [Google Scholar]

[zoi210779r18] 18.Kessler RC, Santiago PN, Colpe LJ, et al. Clinical reappraisal of the Composite International Diagnostic Interview Screening Scales (CIDI-SC) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Int J Methods Psychiatr Res. 2013;22(4):303-321. doi: 10.1002/mpr.1398 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r19] 19.Posner K, Brown GK, Stanley B, et al. The Columbia–Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011;168(12):1266-1277. doi: 10.1176/appi.ajp.2011.10111704 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r20] 20.Kessler RC, Ormel J, Petukhova M, et al. Development of lifetime comorbidity in the World Health Organization World Mental Health Surveys. Arch Gen Psychiatry. 2011;68(1):90-100. doi: 10.1001/archgenpsychiatry.2010.180 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r21] 21.de Jonge P, Wardenaar KJ, Lim CCW, et al. The cross-national structure of mental disorders: results from the World Mental Health Surveys. Psychol Med. 2018;48(12):2073-2084. doi: 10.1017/S0033291717003610 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r22] 22.R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2016.

[zoi210779r23] 23.Scott KM, Lim CC, Hwang I, et al. The cross-national epidemiology of DSM-IV intermittent explosive disorder. Psychol Med. 2016;46(15):3161-3172. doi: 10.1017/S0033291716001859 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r24] 24.Karg RS, Bose J, Batts KR, et al. Past Year Mental Disorders Among Adults in the United States: Results From the 2008-2012 Mental Health Surveillance Study. In: CBHSQ Data Review. Substance Abuse and Mental Health Services Administration; 2014. [PubMed] [Google Scholar]

[zoi210779r25] 25.Hourani LL, Williams J, Lattimore PK, Trudeau JV, Van Dorn RA. Psychological model of military aggressive behavior: findings from population-based surveys. Mil Psychol. 2017;29(5):381-395. doi: 10.1037/mil0000172 [DOI] [Google Scholar]

[zoi210779r26] 26.Renshaw KD, Kiddie NS. Internal anger and external expressions of aggression in OEF/OIF veterans. Mil Psychol. 2012;24(3):221-235. doi: 10.1080/08995605.2012.678197 [DOI] [Google Scholar]

[zoi210779r27] 27.Adler AB, LeardMann CA, Roenfeldt KA, Jacobson IG, Forbes D; Millennium Cohort Study Team . Magnitude of problematic anger and its predictors in the Millennium Cohort. BMC Public Health. 2020;20(1):1168. doi: 10.1186/s12889-020-09206-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r28] 28.Okuda M, Picazo J, Olfson M, et al. Prevalence and correlates of anger in the community: results from a national survey. CNS Spectr. 2015;20(2):130-139. doi: 10.1017/S1092852914000182 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r29] 29.Adler AB, Brossart DF, Toblin RL. Can anger be helpful? soldier perceptions of the utility of anger. J Nerv Ment Dis. 2017;205(9):692-698. doi: 10.1097/NMD.0000000000000712 [DOI] [PubMed] [Google Scholar]

[zoi210779r30] 30.Adler AB, Wright KM, Bliese PD, Eckford R, Hoge CW. A2 diagnostic criterion for combat-related posttraumatic stress disorder. J Trauma Stress. 2008;21(3):301-308. doi: 10.1002/jts.20336 [DOI] [PubMed] [Google Scholar]

[zoi210779r31] 31.Van Winkle EP, Orvis KA. Department of Defense calendar year 2019 annual suicide report. 2020. Accessed March 24, 2021. https://www.dspo.mil/ASR/

[zoi210779r32] 32.Behar E, DiMarco ID, Hekler EB, Mohlman J, Staples AM. Current theoretical models of generalized anxiety disorder (GAD): conceptual review and treatment implications. J Anxiety Disord. 2009;23(8):1011-1023. doi: 10.1016/j.janxdis.2009.07.006 [DOI] [PubMed] [Google Scholar]

[zoi210779r33] 33.Mennin DS, McLaughlin KA, Flanagan TJ. Emotion regulation deficits in generalized anxiety disorder, social anxiety disorder, and their co-occurrence. J Anxiety Disord. 2009;23(7):866-871. doi: 10.1016/j.janxdis.2009.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]

[zoi210779r34] 34.Chu C, Walker KL, Stanley IH, et al. Perceived problem-solving deficits and suicidal ideation: evidence for the explanatory roles of thwarted belongingness and perceived burdensomeness in five samples. J Pers Soc Psychol. 2018;115(1):137-160. doi: 10.1037/pspp0000152 [DOI] [PMC free article] [PubMed] [Google Scholar]

PERMALINK

Pre-enlistment Anger Attacks and Postenlistment Mental Disorders and Suicidality Among US Army Soldiers

Diana M Smith, AB

Alejandro Meruelo, MD, PhD

Laura Campbell-Sills, PhD

Xiaoying Sun, MS

Ronald C Kessler, PhD

Robert J Ursano, MD

Sonia Jain, PhD

Murray B Stein, MD, MPH

Key Points

Question

Findings

Meaning

Abstract

Importance

Objective

Design, Setting, and Participants

Exposures

Main Outcomes and Measures

Results

Conclusions and Relevance

Introduction

Methods

Overview/Participants

Measures

History of Anger Attacks

Sociodemographic and Service Characteristics

Mental Disorders and Suicidality

Statistical Analysis

Baseline Analyses

Prospective Analyses

Results

Figure 1. Frequency Distribution Showing Number of Lifetime Anger Attacks Stratified by Impairment Status Among New Soldiers Reporting Recurrent Anger Attacks.

Table 1. Distribution and Associations of Baseline Characteristics With Pre-enlistment Anger Attacks.

Figure 2. Cross-sectional Associations of a History of Anger Attacks With Other Lifetime Mental Disorders.

Table 2. Associations Between Anger Attack and Mental Disorder Variables at Baseline and New Onset of Mental Health Outcomes at Follow-upa.

Discussion

Limitations

Conclusions

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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Table 2. Associations Between Anger Attack and Mental Disorder Variables at Baseline and New Onset of Mental Health Outcomes at Follow-up^a.