Attachment Style, Social Support Network, and Lifetime Suicide Ideation and Suicide Attempts Among New Soldiers in the U.S. Army.

OBJECTIVE: Attachment style and social support networks (SSN) are associated with suicide ideation (SI) and suicide attempt (SA). How these two factors interact is important to understanding the mechanisms of risk for suicidal behaviors and identifying interventions. METHOD: Using the Army Study to Assess Risk and Resilience in Servicemembers New Soldier Study (N = 38,507 soldiers), we examined how three attachment styles (preoccupied, fearful, and secure) and SSN (smaller vs larger) were associated with lifetime SI, SA, and SA among soldiers with SI. The interaction of each attachment style by SSN was examined. RESULTS: All three attachment styles were associated with SI and SA in the total sample (for SA: preoccupied OR = 2.82, fearful OR = 2.84, and secure OR = 0.76). Preoccupied and fearful attachment were associated with SA among suicide ideators. Smaller SSN was associated with a higher risk for all three outcomes (range of ORs = 1.23-1.52). The association of SSN with SI and with SA among suicide ideators was significantly modified by the presence or absence of preoccupied attachment style. Among soldiers without preoccupied attachment, larger SSN was associated with lower risk of SI. Among suicide ideators with preoccupied attachment, a larger SSN was associated with lower risk of SA. CONCLUSION: This study highlights the need for increased understanding of the role of attachment style and social networks in suicide risk, in particular preoccupied attachment among soldiers with SI. A critical next step is to explore these relationships prospectively to guide intervention development.

Exploring heterogeneity in PTSD symptoms and associated predictors and outcomes in Afghanistan veterans: A latent profile analysis.

Research on posttraumatic stress symptoms (PTSS) typically focuses on diagnosis or symptom severity, however, this overlooks the variety of symptom patterns that exist. Latent profile analysis was used to explore PTSS profiles in a sample of Norwegian Afghanistan veterans (n = 4052, 91.7% males). Multinomial logistic regression analyses were conducted to examine predictors and outcomes associated with PTSS profile membership. Three profiles emerged: Low Symptoms profile (85%); High Numbing and Arousal profile (13%); and High Symptoms profile (2%). Being female, lower number of deployments, barriers to disclose war-related experiences, and higher number of potentially morally injurious events (PMIEs) were associated with belonging to the High Symptoms profile compared to the High Numbing and Arousal (Male gender: OR = 0.37, p < .05; Number of deployments: OR = 0.68, p < .05; Barriers to disclose: OR = 1.39, p < .001; PMIEs: OR = 1.15. p < .05), or Low Symptoms profile (Male gender: OR = 0.36, p < .05; Number of deployments: OR = 0.67, p < .01; Barriers to disclose: OR = 1.80, p < .001; PMIEs: OR = 1.32. p < .001). Participants in the High Symptoms profile had the highest probability of mental health service use (0.37) and endorsing suicidal ideation (0.38), compared to the two other profiles (p < .01). Participants in the High Numbing and Arousal profile had a higher probability of seeking professional mental health care (0.17), endorsing suicidal ideation (0.16), and reporting more suicide attempts compared to the Low Symptom profile (0.02 vs. 0.00, p < .001). These findings highlight the importance of considering the heterogeneity of PTSS profiles and understanding the predictors and responses of individuals who exhibit elevated PTSS symptoms.

PTSD, Comorbidities, Gender, and Increased Risk of Cardiovascular Disease in a Large Military Cohort.

Importance: Posttraumatic stress disorder (PTSD) is a prevalent mental health problem that increases risk of cardiovascular disease (CVD). It is not known whether gender or comorbidities modify associations between PTSD and CVD. Objective: To assess risk of hypertension and atherosclerotic CVD (ASCVD) associated with PTSD in a predominantly young military population, and determine if gender or PTSD comorbidities modify these associations. Design setting and participants: Using administrative medical records, this longitudinal, retrospective cohort study assessed relationships of PTSD, gender, comorbidities (metabolic risk factors [MRF], behavioral risk factors [BRF], depression, and sleep disorders) to subsequent hypertension and ASCVD among 863,993 active-duty U.S. Army enlisted soldiers (86.2% male; 93.7%

Overview and Design of the Child Maltreatment in Military Families Life Course Study.

OBJECTIVE: This report presents an overview of the objectives, design, and analytic strategy of the Child Maltreatment in Military Families Life Course Study, an investigation of factors associated with child maltreatment in active duty military families. METHOD: The study uses a case-control retrospective research design and discrete-time survival methodology to examine service member demographic characteristics, family characteristics, military-related characteristics, and military family life events associated with child maltreatment incidents that meet the Department of Defense definition of child abuse or neglect. The sample includes all active duty families with a first occurrence of child maltreatment anytime between Fiscal Year (FY) 2009 and FY 2018 (n = 28,684), and a representative sample of control families with children under age of 18 during the same period (n = 589,417). Analyses include child maltreatment and domestic abuse data from the Family Advocacy Program Central Registry; sponsor socio-demographic, military-related, and family data from the Active Duty Military Personnel Master and Defense Enrollment Eligibility Reporting System data files; deployment data from the Contingency Tracking System; and mental health data from the Medical Data Repository. RESULTS AND CONCLUSIONS: Study results identify risk and protective factors associated with child maltreatment in military families, subgroups at elevated risk of child maltreatment, and periods of heightened risk during the military family life course. These results are expected to improve the ability to identify families most at-risk for particular types of child maltreatment and inform prevention strategies that promote the health and safety of military families.

Polygenic risk for suicide attempt is associated with lifetime suicide attempt in US soldiers independent of parental risk.

BACKGROUND: Suicide is a leading cause of death worldwide. Whereas some studies have suggested that a direct measure of common genetic liability for suicide attempts (SA), captured by a polygenic risk score for SA (SA-PRS), explains risk independent of parental history, further confirmation would be useful. Even more unsettled is the extent to which SA-PRS is associated with lifetime non-suicidal self-injury (NSSI). METHODS: We used summary statistics from the largest available GWAS study of SA to generate SA-PRS for two non-overlapping cohorts of soldiers of European ancestry. These were tested in multivariable models that included parental major depressive disorder (MDD) and parental SA. RESULTS: In the first cohort, 417 (6.3 %) of 6573 soldiers reported lifetime SA and 1195 (18.2 %) reported lifetime NSSI. In a multivariable model that included parental history of MDD and parental history of SA, SA-PRS remained significantly associated with lifetime SA [aOR = 1.26, 95%CI:1.13-1.39, p < 0.001] per standardized unit SA-PRS]. In the second cohort, 204 (4.2 %) of 4900 soldiers reported lifetime SA, and 299 (6.1 %) reported lifetime NSSI. In a multivariable model that included parental history of MDD and parental history of SA, SA-PRS remained significantly associated with lifetime SA [aOR = 1.20, 95%CI:1.04-1.38, p = 0.014]. A combined analysis of both cohorts yielded similar results. In neither cohort or in the combined analysis was SA-PRS significantly associated with NSSI. CONCLUSIONS: PRS for SA conveys information about likelihood of lifetime SA (but not NSSI, demonstrating specificity), independent of self-reported parental history of MDD and parental history of SA. LIMITATIONS: At present, the magnitude of effects is small and would not be immediately useful for clinical decision-making or risk-stratified prevention initiatives, but this may be expected to improve with further iterations. Also critical will be the extension of these findings to more diverse populations.

Uncommon Protein-Coding Variants Associated With Suicide Attempt in a Diverse Sample of U.S. Army Soldiers.

BACKGROUND: Suicide is a societal and public health concern of global scale. Identifying genetic risk factors for suicide attempt can characterize underlying biology and enable early interventions to prevent deaths. Recent studies have described common genetic variants for suicide-related behaviors. Here, we advance this search for genetic risk by analyzing the association between suicide attempt and uncommon variation exome-wide in a large, ancestrally diverse sample. METHODS: We sequenced whole genomes of 13,584 soldiers from the Army STARRS (Army Study to Assess Risk and Resilience in Servicemembers), including 979 individuals with a history of suicide attempt. Uncommon, nonsilent protein-coding variants were analyzed exome-wide for association with suicide attempt using gene-collapsed and single-variant analyses. RESULTS: We identified 19 genes with variants enriched in individuals with history of suicide attempt, either through gene-collapsed or single-variant analysis (Bonferroni padjusted < .05). These genes were CIB2, MLF1, HERC1, YWHAE, RCN2, VWA5B1, ATAD3A, NACA, EP400, ZNF585A, LYST, RC3H2, PSD3, STARD9, SGMS1, ACTR6, RGS7BP, DIRAS2, and KRTAP10-1. Most genes had variants across multiple genomic ancestry groups. Seventeen of these genes were expressed in healthy brain tissue, with 9 genes expressed at the highest levels in the brain versus other tissues. Brains from individuals deceased from suicide aberrantly expressed RGS7BP (padjusted = .035) in addition to nominally significant genes including YWHAE and ACTR6, all of which have reported associations with other mental disorders. CONCLUSIONS: These results advance the molecular characterization of suicide attempt behavior and support the utility of whole-genome sequencing for complementing the findings of genome-wide association studies in suicide research.