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Cytokines, including chemokines, are small secreted proteins, which specifically effect on the interactions and communications between cells. Pro-inflammatory cytokines are produced predominantly by activated macrophages and are involved in the upregulation of inflammatory reactions. Dysregulation of cytokines is associated with post-traumatic stress disorder (PTSD). Here, we use both before-and-after and case–control studies to search for potential chemokine biomarkers associated with PTSD onset, risk, and resilience as well as stress responses in US military service members deployed to Iraq and Afghanistan. Blood samples and scores of the PTSD Checklist (PCL) were obtained from soldiers pre- and post deployment (pre, post). Forty chemokines were measured using the Bio-Plex Pro Human Chemokine Panel Assays. The before-and-after analysis showed potential markers (CCL2, CCL15, CCL22, CCL25, CXCL2, and CXCL12) are associated with PTSD onset, and CCL3, CXCL11, and CXCL16 are related to stress response. The case–control study demonstrated that CCL13, CCL20, and CXCL6 were possible PTSD risk markers, and CX3CL1 might be a resilience marker. In addition, CCL11, CCL13, CCL20, and CCL25 were correlated with the PCL scores, indicating their association with PTSD symptom severity. Our data, for the first time, suggest that these dysregulated chemokines may serve as biomarkers for PTSD onset, risk, and resilience as well as stress responses, and may benefit developing approaches not only for PTSD diagnosis but also for PTSD treatment.

Recent theory and empirical research suggest that child neglect is a heterogeneous phenomenon characterized by various types. This study examined family risk factors associated with five neglect types including failure to provide physical needs, lack of supervision, emotional neglect, moral–legal neglect, and educational neglect in 390 substantiated cases of neglect in four U.S. Army communities. Family factors associated with elevated risk of each neglect type relative to other types were identified using multivariate regression. Relatively distinct sets of family risk factors were differentially associated with the neglect types. Family mental health problems and larger family size were associated with risk of failure to provide physical needs, childcare problems and larger family size were associated with risk of supervisory neglect, and family disagreements were associated with risk of emotional neglect. None of the family factors were associated with elevated risk of moral–legal or educational neglect. Results can inform the development of indicated and relapse prevention strategies for families affected by different neglect types.

OBJECTIVE: We examined the association of U.S. Reserve Component (RC) personnel separating from military service with risk of mental health problems at three time periods. METHODS: Structured interviews were conducted with a nationally representative sample of 1,582 RC personnel at baseline and three follow-up waves from 2010–2013. Multivariate logistic regression analyses examined posttraumatic stress disorder (PTSD), major depressive disorder (MDD), binge drinking, suicide ideation, and mental health diagnosis by a health provider. RESULTS: Approximately 10%, 20% and 28% of RC personnel reported separating from military service at waves 2–4. At an estimated 6 months since leaving military service, there was no differences between those who left and those who remained in service. However, at 1 year after leaving service, those who had left had higher risk of MDD, suicidal ideation, and reporting having mental health diagnosis by a health provider. At 1.6 years after leaving military service, those who had left had higher risk of reporting having mental health diagnosis by a health provider. The results were essentially unchanged after adjusting for baseline mental disorder for each outcome. CONCLUSION: Results suggest a higher risk of mental health problems in RC veterans separating, compared to those who remained in the military. This risk may not occur immediately following separation but may occur within the first year or two after separation. Transition from military to civilian life may be a critical period for interventions to address the unique needs of the RC's citizen-soldiers and reduce their risk of adverse mental health outcomes.

Mild traumatic brain injury (mTBI), or concussion, is prevalent in the military. The course of recovery can be highly variable. This study investigates whether deployment-acquired mTBI is associated with subsequent presence and severity of post-concussive symptoms (PCS) and identifies predictors of persistent PCS among US Army personnel who sustained mTBI while deployed to Afghanistan. We used data from a prospective longitudinal survey of soldiers assessed 1–2 months before a 10-month deployment to Afghanistan (T0), on redeployment to the United States (T1), approximately 3 months later (T2), and approximately 9 months later (T3). Outcomes of interest were PCS at T2 and T3. Predictors considered were: sociodemographic factors, number of previous deployments, pre-deployment mental health and TBI history, and mTBI and other military-related stress during the index deployment. The study sample comprised 4518 soldiers, 822 (18.2%) of whom experienced mTBI during the index deployment. After adjusting for demographic, clinical, and deployment-related factors, deployment-acquired mTBI was associated with nearly triple the risk of reporting any PCS and with increased severity of PCS when symptoms were present. Among those who sustained mTBI, severity of PCS at follow-up was associated with history of pre-deployment TBI(s), pre-deployment psychological distress, more severe deployment stress, and loss of consciousness or lapse of memory (versus being "dazed" only) as a result of deployment-acquired mTBI. In summary, we found that sustaining mTBI increases risk for persistent PCS. Previous TBI(s), pre-deployment psychological distress, severe deployment stress, and loss of consciousness or lapse of memory resulting from mTBI(s) are prognostic indicators of persistent PCS after an index mTBI. These observations may have actionable implications for prevention of chronic sequelae of mTBI in the military and other settings.

BackgroundDistinguishing a disorder of persistent and impairing grief from normative grief allows clinicians to identify this often undetected and disabling condition. As four diagnostic criteria sets for a grief disorder have been proposed, their similarities and differences need to be elucidated.MethodsParticipants were family members bereaved by US military service death (N = 1732). We conducted analyses to assess the accuracy of each criteria set in identifying threshold cases (participants who endorsed baseline Inventory of Complicated Grief ⩾30 and Work and Social Adjustment Scale ⩾20) and excluding those below this threshold. We also calculated agreement among criteria sets by varying numbers of required associated symptoms.ResultsAll four criteria sets accurately excluded participants below our identified clinical threshold (i.e. correctly excluding 86-96% of those subthreshold), but they varied in identification of threshold cases (i.e. correctly identifying 47-82%). When the number of associated symptoms was held constant, criteria sets performed similarly. Accurate case identification was optimized when one or two associated symptoms were required. When employing optimized symptom numbers, pairwise agreements among criteria became correspondingly 'very good' (κ = 0.86-0.96).ConclusionsThe four proposed criteria sets describe a similar condition of persistent and impairing grief, but differ primarily in criteria restrictiveness. Diagnostic guidance for prolonged grief disorder in International Classification of Diseases, 11th Edition (ICD-11) functions well, whereas the criteria put forth in Section III of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) are unnecessarily restrictive.

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study of unprecedented size and complexity designed to generate actionable evidence-based recommendations to reduce U.S. Army suicides and increase basic knowledge about determinants of suicidality by carrying out coordinated component studies. A number of major logistical challenges were faced in implementing these studies. The current report presents an overview of the approaches taken to meet these challenges, with a special focus on the field procedures used to implement the component studies. As detailed in the paper, these challenges were addressed at the onset of the initiative by establishing an Executive Committee, a Data Coordination Center (the Survey Research Center [SRC] at the University of Michigan), and study-specific design and analysis teams that worked with staff on instrumentation and field procedures. SRC staff, in turn, worked with the Office of the Deputy Under Secretary of the Army (ODUSA) and local Army Points of Contact (POCs) to address logistical issues and facilitate data collection. These structures, coupled with careful fieldworker training, supervision, and piloting contributed to the major Army STARRS data collection efforts having higher response rates than previous large-scale studies of comparable military samples.