Lisa J. Colpe

Prevalence of suicidality during pregnancy and the postpartum

SummaryThis review examined the available prevalence estimates of suicidality (suicide deaths, attempts, and ideation including thoughts of self harm) in pregnancy and the postpartum. Studies that used defined community or clinic samples were identified through multiple electronic databases and contacts with primary authors. Definitions of and measurement of suicide deaths, intentional self-harming behavior, suicide attempts, and thoughts of death and self-harm were varied and are described with each study. While suicide deaths and attempts are lower during pregnancy and the postpartum than in the general population of women, when deaths do occur, suicides account for up to 20% of postpartum deaths. Self-harm ideation is more common than attempts or deaths, with thoughts of self-harm during pregnancy and the postpartum ranging from 5 to 14%. The risk for suicidality is significantly elevated among depressed women during the perinatal period, and suicide has been found to be the second or leading cause of death in this depressed population.

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

IMPORTANCE The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care. DESIGN, SETTING, AND PARTICIPANTS There were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOMES AND MEASURES Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS Sixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations). CONCLUSIONS AND RELEVANCE The high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects.

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Importance/Objective: Although the suicide rate in the U.S. Army has traditionally been below age-gender matched civilian rates, it has climbed steadily since the beginning of the Iraq and Afghanistan conflicts and since 2008 has exceeded the demographically matched civilian rate. The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multicomponent epidemiological and neurobiological study designed to generate actionable evidence-based recommendations to reduce Army suicides and increase knowledge about risk and resilience factors for suicidality and its psychopathological correlates. This paper presents an overview of the Army STARRS component study designs and of recent findings. Design/Setting/Participants/Intervention: Army STARRS includes six main component studies: (1) the Historical Administrative Data Study (HADS) of Army and Department of Defense (DoD) administrative data systems (including records of suicidal behaviors) for all soldiers on active duty 2004—2009 aimed at finding administrative record predictors of suicides; (2) retrospective case-control studies of fatal and nonfatal suicidal behaviors (each planned to have n = 150 cases and n = 300 controls); (3) a study of new soldiers (n = 50,765 completed surveys) assessed just before beginning basic combat training (BCT) with self-administered questionnaires (SAQ), neurocognitive tests, and blood samples; (4) a cross-sectional study of approximately 35,000 (completed SAQs) soldiers representative of all other (i.e., exclusive of BCT) active duty soldiers; (5) a pre-post deployment study (with blood samples) of soldiers in brigade combat teams about to deploy to Afghanistan (n = 9,421 completed baseline surveys), with sub-samples assessed again one, three, and nine months after returning from deployment; and (6) a pilot study to follow-up SAQ respondents transitioning to civilian life. Army/DoD administrative data are being linked prospectively to the large-scale survey samples to examine predictors of subsequent suicidality and related mental health outcomes. Main outcome measures: Measures (self-report and administratively recorded) of suicidal behaviors and their psychopathological correlates. Results: Component study cooperation rates are comparatively high. Sample biases are relatively small. Inefficiencies introduced into parameter estimates by using nonresponse adjustment weights and time-space clustering are small. Initial findings show that the suicide death rate, which rose over 2004—2009, increased for those deployed, those never deployed, and those previously deployed. Analyses of administrative records show that those deployed or previously deployed were at greater suicide risk. Receiving a waiver to enter the Army was not associated with increased risk. However, being demoted in the past two years was associated with increased risk. Time in current deployment, length of time since return from most recent deployment, total number of deployments, and time interval between most recent deployments (known as dwell time) were not associated with suicide risk. Initial analyses of survey data show that 13.9% of currently active non-deployed regular Army soldiers considered suicide at some point in their lifetime, while 5.3% had made a suicide plan, and 2.4% had attempted suicide. Importantly, 47—60% of these outcomes first occurred prior to enlistment. Prior mental disorders, in particular major depression and intermittent explosive disorder, were the strongest predictors of these self-reported suicidal behaviors. Most onsets of plans-attempts among ideators (58.3—63.3%) occurred within the year of onset of ideation. About 25.1% of non-deployed U.S. Army personnel met 30-day criteria for a DSM-IV anxiety, mood, disruptive behavior, or substance disorder (15.0% an internalizing disorder; 18.4% an externalizing disorder) and 11.1% for multiple disorders. Importantly, three-fourths of these disorders had pre-enlistment onsets. Conclusions: Integration across component studies creates strengths going well beyond those in conventional applications of the same individual study designs. These design features create a strong methodological foundation from which Army STARRS can pursue its substantive research goals. The early findings reported here illustrate the importance of the study and its approach as a model of studying rare events particularly of national security concern. Continuing analyses of the data will inform suicide prevention for the U.S. Army.

Design of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi‐component epidemiological and neurobiological study designed to generate actionable evidence‐based recommendations to reduce US Army suicides and increase basic knowledge about the determinants of suicidality. This report presents an overview of the designs of the six components of the Army STARRS. These include: an integrated analysis of the Historical Administrative Data Study (HADS) designed to provide data on significant administrative predictors of suicides among the more than 1.6 million soldiers on active duty in 2004–2009; retrospective case‐control studies of suicide attempts and fatalities; separate large‐scale cross‐sectional studies of new soldiers (i.e. those just beginning Basic Combat Training [BCT], who completed self‐administered questionnaires [SAQs] and neurocognitive tests and provided blood samples) and soldiers exclusive of those in BCT (who completed SAQs); a pre‐post deployment study of soldiers in three Brigade Combat Teams about to deploy to Afghanistan (who completed SAQs and provided blood samples) followed multiple times after returning from deployment; and a platform for following up Army STARRS participants who have returned to civilian life. Department of Defense/Army administrative data records are linked with SAQ data to examine prospective associations between self‐reports and subsequent suicidality. The presentation closes with a discussion of the methodological advantages of cross‐component coordination. Copyright

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

IMPORTANCE The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care. DESIGN, SETTING, AND PARTICIPANTS There were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOMES AND MEASURES Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS Sixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations). CONCLUSIONS AND RELEVANCE The high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects.

PREVALENCE AND CORRELATES OF SUICIDAL BEHAVIOR AMONG NEW SOLDIERS IN THE U.S. ARMY: RESULTS FROM THE ARMY STUDY TO ASSESS RISK AND RESILIENCE IN SERVICEMEMBERS (ARMY STARRS)

The prevalence of suicide among U.S. Army soldiers has risen dramatically in recent years. Prior studies suggest that most soldiers with suicidal behaviors (i.e., ideation, plans, and attempts) had first onsets prior to enlistment. However, those data are based on retrospective self‐reports of soldiers later in their Army careers. Unbiased examination of this issue requires investigation of suicidality among new soldiers.

Suicide Attempts in the US Army During the Wars in Afghanistan and Iraq, 2004 to 2009.

IMPORTANCE The rate of suicide attempts in the US Army increased sharply during the wars in Afghanistan and Iraq. Research on this important health outcome has been hampered by the lack of integration among Army administrative data systems. OBJECTIVE To identify risk factors for suicide attempts among active-duty members of the regular Army from January 1, 2004, through December 31, 2009. DESIGN, SETTING, AND PARTICIPANTS This longitudinal, retrospective cohort study, as part of the Army Study to Assess Risk and Resilience in Servicemembers (STARRS), used individual-level person-month records from Army and Department of Defense administrative data systems to examine sociodemographic, service-related, and mental health predictors of medically documented suicide attempts among active-duty regular Army soldiers from January 1, 2004, through December 31, 2009. We analyzed data from 9791 suicide attempters and an equal-probability sample of 183,826 control person-months using a discrete-time survival framework. Data analysis was performed from February 3 through November 12, 2014. MAIN OUTCOMES AND MEASURES Suicide attempts identified using Department of Defense Suicide Event Report records and diagnostic codes E950 through E958 from the International Classification of Diseases, Ninth Revision, Clinical Modification. Standardized estimates of suicide attempt risk for sociodemographic, service-related, and mental health predictor variables were constructed from Army personnel and medical records. RESULTS Enlisted soldiers accounted for 98.6% of all suicide attempts (9650 attempters; overall rate, 377.0 [95% CI, 369.7-384.7] per 100,000 person-years). In multivariate models, suicide attempts among enlisted soldiers were predicted (data reported as odds ratio [95% CI]) by female sex (2.4 [2.3-2.5]), entering Army service at 25 years or older (1.6 [1.5-1.8]), current age of 29 years or younger (<21 years, 5.6 [5.1-6.2]; 21-24 years, 2.9 [2.6-3.2]; 25-29 years, 1.6 [1.5-1.8]), white race (black, 0.7 [0.6-0.7]; Hispanic, 0.7 [0.7-0.8]; Asian, 0.7 [0.6-0.8]), an educational level of less than high school (2.0 [2.0-2.1]), being in the first 4 years of service (1-2 years, 2.4 [2.2-2.6]; 3-4 years, 1.5 [1.4-1.6]), having never (2.8 [2.6-3.0]) or previously (2.6 [2.4-2.8]) been deployed, and a mental health diagnosis during the previous month (18.2 [17.4-19.1]). Attempts among officers (overall rate, 27.9 per 100,000 person-years) were predicted by female sex (2.8 [2.0-4.1]), entering Army service at 25 years or older (2.0 [1.3-3.1]), current age of 40 years or older (0.5 [0.3-0.8]), and a mental health diagnosis during the previous month (90.2 [59.5-136.7]). Discrete-time hazard models indicated risk among enlisted soldiers was highest in the second month of service (102.7 per 100,000 person-months) and declined substantially as length of service increased (mean during the second year of service, 56.0 per 100,000 person-years; after 4 years of service, 29.4 per 100,000 person-months), whereas risk among officers remained stable (overall mean, 6.1 per 100,000 person-months). CONCLUSIONS AND RELEVANCE Our results represent, to our knowledge, the most comprehensive accounting to date of suicide attempts in the Army. The findings reveal unique risk profiles for enlisted soldiers and officers and highlight the importance of research and prevention focused on enlisted soldiers in their first Army tour.

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).

A clinical reappraisal study was carried out in conjunction with the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) All‐Army Study (AAS) to evaluate concordance of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM‐IV) diagnoses based on the Composite International Diagnostic Interview Screening Scales (CIDI‐SC) and post‐traumatic stress disorder (PTSD) checklist (PCL) with diagnoses based on independent clinical reappraisal interviews (Structured Clinical Interview for DSM‐IV [SCID]). Diagnoses included: lifetime mania/hypomania, panic disorder, and intermittent explosive disorder; six‐month adult attention‐deficit/hyperactivity disorder; and 30‐day major depressive episode, generalized anxiety disorder, PTSD, and substance (alcohol or drug) use disorder (abuse or dependence). The sample (n = 460) was weighted for over‐sampling CIDI‐SC/PCL screened positives. Diagnostic thresholds were set to equalize false positives and false negatives. Good individual‐level concordance was found between CIDI‐SC/PCL and SCID diagnoses at these thresholds (area under curve [AUC] = 0.69–0.79). AUC was considerably higher for continuous than dichotomous screening scale scores (AUC = 0.80–0.90), arguing for substantive analyses using not only dichotomous case designations but also continuous measures of predicted probabilities of clinical diagnoses. Copyright

Prospective Longitudinal Evaluation of the Effect of Deployment-Acquired Traumatic Brain Injury on Posttraumatic Stress and Related Disorders: Results From the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

OBJECTIVE Traumatic brain injury (TBI) is increasingly recognized as a risk factor for deleterious mental health and functional outcomes. The purpose of this study was to examine the strength and specificity of the association between deployment-acquired TBI and subsequent posttraumatic stress and related disorders among U.S. Army personnel. METHOD A prospective, longitudinal survey of soldiers in three Brigade Combat Teams was conducted 1-2 months prior to an average 10-month deployment to Afghanistan (T0), upon redeployment to the United States (T1), approximately 3 months later (T2), and approximately 9 months later (T3). Outcomes of interest were 30-day prevalence postdeployment of posttraumatic stress disorder (PTSD), major depressive episode, generalized anxiety disorder, and suicidality, as well as presence and severity of postdeployment PTSD symptoms. RESULTS Complete information was available for 4,645 soldiers. Approximately one in five soldiers reported exposure to mild (18.0%) or more-than-mild (1.2%) TBI(s) during the index deployment. Even after adjusting for other risk factors (e.g., predeployment mental health status, severity of deployment stress, prior TBI history), deployment-acquired TBI was associated with elevated adjusted odds of PTSD and generalized anxiety disorder at T2 and T3 and of major depressive episode at T2. Suicidality risk at T2 appeared similarly elevated, but this association did not reach statistical significance. CONCLUSIONS The findings highlight the importance of surveillance efforts to identify soldiers who have sustained TBIs and are therefore at risk for an array of postdeployment adverse mental health outcomes, including but not limited to PTSD. The mechanism(s) accounting for these associations need to be elucidated to inform development of effective preventive and early intervention programs.

Serious Psychological Distress and Mental Health Service Use Among Community-Dwelling Older U.S. Adults

OBJECTIVES This study examined the prevalence and predictors of past-year serious psychological distress and receipt of mental health services among community-dwelling older adults in the United States. METHODS The sample included 9,957 adults aged 65 or older from the 2004-2007 National Survey on Drug Use and Health. Serious psychological distress was defined as having a score of 13 or higher on the K6 scale of nonspecific psychological distress. Descriptive analyses and logistic regression modeling were applied. RESULTS Among community-dwelling older adults, 4.7% had serious psychological distress in the past year. Among those with past-year serious psychological distress, 37.7% received mental health services in the past year (4.8% received inpatient services, 15.8% received outpatient services, and 32.1% received prescription medications) (weighted percentages). Logistic regression results suggested that among older adults with serious psychological distress, receipt of mental health services was more likely among women, non-Hispanic whites, those who were married, those who were highly educated, Medicare-Medicaid dual beneficiaries, those with a major depressive episode, and those with more general medical conditions. CONCLUSIONS These results suggest the need to screen for mental health problems among older adults and to improve the use and the quality of their mental health services. Since 2008 significant changes have revolutionized payment for mental health care and may promote access to mental health care in this population. Further studies are needed to assess trends in mental health service utilization among older adults and in the quality of their mental health care over time.