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The high, and still rising, rate of loneliness is a threat to public health (Office of the Surgeon General, 2023), with negative mental and physical health consequences (e.g., Holt-Lunstad, 2021). Given that loneliness is a risk factor for poor mental health, efforts to address loneliness are urgently needed. Workplaces can facilitate an employee's social connection through supervisor support training, which can help mitigate loneliness. Among occupational groups, the military is at higher risk for mental health disorders, suicide, and loneliness (Fikretoglu et al., 2022; Naifeh et al., 2019). This study evaluated the efficacy of an evidence-based supportive-leadership training intervention targeting active-duty U.S. Army platoon leaders and targeting both proactive support behaviors that help bolster employee social connection and responsive support behaviors, including destigmatizing mental health. Ninety-nine platoon leaders (69.7% of eligible leaders) completed the 90-min training that consisted of both in-person and computer-based components. Using a cluster-randomized controlled trial design, intervention effects were tested using an intent-to-treat approach and revealed a significant effect, whereby loneliness of service members whose leaders were randomized to the intervention group (N = 118) was significantly reduced compared to loneliness reports for service members in the control group (N = 158). Additionally, service members with higher baseline loneliness were more strongly and positively impacted by the supervisor training, reporting higher levels of supportive behaviors from their leaders at 3 months postbaseline. In sum, these results suggest how workplaces, especially those that are considered high-risk occupations, and their leaders play a critical role in a national strategy to address Americans' well-being. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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INTRODUCTION: The DoD has prioritized programs to optimize readiness by enhancing resilience of its service members. Problematic anger in the military is an issue that impacts psychological well-being and resilience. Leader support is a potential tactic for reducing anger and its effects. Currently military resilience training is focused on individual level resilience. A gap exists in such training and there is a need to train leaders to provide mental health and resilience support to their subordinates. The present study developed and tested a theory-based training aimed at platoon leaders that focused on how to engage in proactive and responsive mental health and resilience-supportive behaviors through guided discussion, scenarios, and computer-based training with embedded quizzes. MATERIALS AND METHODS: We conducted an Institutional Review Board-approved cluster randomized controlled trial to test the effects of a leadership training with Army platoon leaders (n = 99) and soldiers (n = 276) in 2 brigades at an active duty military installation in the USA. Training was conducted in person with a computer-based component. Soldiers completed online surveys 1 month prior and again 3 months after the leader training. RESULTS: Post-training results demonstrated significant leader learning effects (Cohen's d = 1.56) and leader positive reactions to the training information, with leaders reporting the information as useful and relevant to their work. Service members in the treatment group reported significantly lower levels of anger at time 2 (b = -0.18, SE = 0.06, P = .002, pseudo ΔR2 = 0.01; d = 0.27) compared to the control group. We also found an indirect effect of the intervention on increased life satisfaction at time 2 via decreased anger (b = 0.035, SE = 0.023, 95% CI = [0.004-0.24]). CONCLUSIONS: This study provides an initial evaluation of training for platoon leaders that educates them on proactive and responsive behavioral strategies to support the mental health and resilience of their service members via decreased problematic anger and increased well-being. Further adaptations and evaluations should be conducted with other military branches and civilian occupations, as the benefits of the relatively brief and noninvasive training could be widespread.

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The concept of resilience is embedded within military culture and professional identity. To date, temporal changes in individuals' perceptions of their own resilience have not been systematically assessed in highstakes occupational contexts, like the military. The current study examined change in selfreported resilience over time by: (1) examining the longitudinal measurement invariance of the Brief Resilience Scale (BRS); (2) assessing the longitudinal pattern of resilience across a combat deployment cycle; and (3) examining predictors of postdeployment resilience and change in resilience scores across time. U.S. Army soldiers assigned to a combat brigade completed a survey at four time points over the course of a deployment cycle: (a) prior to deployment to Afghanistan; (b) during deployment; (c) immediately following return to home station; and (d) approximately 2-3 months thereafter. The longitudinal measurement invariance of the BRS was established. Growth curve modeling indicated that, on average, self-reported resilience decreased across the deployment cycle, but there was considerable individual variation in the rate of change. Of note, loneliness, as measured during deployment, predicted the rate of change in self-reported resilience over time. Results have implications for the longitudinal analysis of resilience and for the development of interventions with military personnel.

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Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes. However, in classical learning procedures, custom-built specialized feature selection techniques are typically used to filter out uninformative features from FC patterns to generalize efficiently on the datasets. The ability of convolutional neural networks (CNN) and other deep learning models to extract informative features from data with grid structure (such as images) has led to the surge in popularity of these techniques. However, the designs of many existing CNN models still fail to exploit the relationships between entities of graph-structure data (such as networks). Therefore, graph convolution network (GCN) has been suggested as a means for uncovering the intricate structure of brain network data, which has the potential to substantially improve classification accuracy. Furthermore, overfitting in classifiers can be largely attributed to the limited number of available training samples. Recently, the generative adversarial network (GAN) has been widely used in the medical field for its generative aspect that can generate synthesis images to cope with the problems of data scarcity and patient privacy. In our previous work, GCN and GAN have been designed to investigate FC patterns to perform diagnosis tasks, and their effectiveness has been tested on the ABIDE-I dataset. In this paper, the models will be further applied to FC data derived from more public datasets (ADHD, ABIDE-II, and ADNI) and our in-house dataset (PTSD) to justify their generalization on all types of data. The results of a number of experiments show the powerful characteristic of GAN to mimic FC data to achieve high performance in disease prediction. When employing GAN for data augmentation, the diagnostic accuracy across ADHD-200, ABIDE-II, and ADNI datasets surpasses that of other machine learning models, including results achieved with BrainNetCNN. Specifically, in ADHD, the accuracy increased from 67.74% to 73.96% with GAN, in ABIDE-II from 70.36% to 77.40%, and in ADNI, reaching 52.84% and 88.56% for multiclass and binary classification, respectively. GCN also obtains decent results, with the best accuracy in ADHD datasets at 71.38% for multinomial and 75% for binary classification, respectively, and the second-best accuracy in the ABIDE-II dataset (72.28% and 75.16%, respectively). Both GAN and GCN achieved the highest accuracy for the PTSD dataset, reaching 97.76%. However, there are still some limitations that can be improved. Both methods have many opportunities for the prediction and diagnosis of diseases.

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Problematic alcohol use is a serious threat to the behavioral health of active-duty Service Members (ADSM), resulting in numerous calls from governmental agencies to better understand mechanistic factors contributing to alcohol misuse within the military. Alcohol use motives are reliable predictors of alcohol-related behaviors and are considered malleable targets for prevention and intervention efforts. However, empirical research indicates that drinking motives vary across contextually distinct populations. Although some research has been conducted among veteran and reservist populations, limited work has been specifically focused on ADSM and no research has evaluated motives and alcohol metrics among ADSM based on military rank. Participants for the current study included 682 ADSM recruited from a large military installation in the U.S. Structural equation modeling evaluated associations between four drinking motives (i.e., enhancement, social, conformity, coping) and three alcohol misuse metrics (i.e., alcohol frequency, binge frequency, alcohol problems). Three models were evaluated: one full (combined) model and two separate models based on military rank - junior enlisted (i.e., E1-E4) and non-commissioned officers (NCOs) (i.e., E5-E9). Results for junior enlisted ADSM indicated that coping and enhancement motives were most strongly associated with all alcohol misuse metrics. However, among NCOs, results indicated that alcohol problems were only associated with coping motives. Notably, results also indicated that alcohol use motives accounted for substantively more variance across all alcohol-related metrics among NCOs. Findings generally support extant military-related literature indicating use of alcohol for coping (e.g., with anxiety) as the motivation most consistently associated with increased alcohol misuse. However, novel findings highlight enhancement motives - using alcohol to attain some positive internal reward - as another, often stronger, motivation impacting alcohol use outcomes. Further, findings highlight notable distinctions between alcohol use motives (i.e., coping vs. enhancement) and the impact of alcohol use motives (i.e., effect size) on alcohol metrics between junior enlisted and NCOs.

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Currently approved blood biomarkers detect intracranial lesions in adult patients with mild to moderate traumatic brain injury (TBI) acutely post-injury. However, blood biomarkers are still needed to help with a differential diagnosis of mild TBI (mTBI) and post-traumatic stress disorder (PTSD) at chronic post-injury time points. Owing to the association between phospholipid (PL) dysfunction and chronic consequences of TBI, we hypothesized that examining bioactive PL metabolites (oxylipins and ethanolamides) would help identify long-term lipid changes associated with mTBI and PTSD. Lipid extracts of plasma from active-duty soldiers deployed to the Iraq/Afghanistan wars (control = 52, mTBI = 21, PTSD = 34, and TBI + PTSD = 13) were subjected to liquid chromatography/mass spectrometry analysis to examine oxylipins and ethanolamides. Linear regression analyses followed by post hoc comparisons were performed to assess the association of these lipids with diagnostic classifications. Significant differences were found in oxylipins derived from arachidonic acid (AA) between controls and mTBI, PTSD, and mTBI + PTSD groups. Levels of AA-derived oxylipins through the cytochrome P450 pathways and anandamide were significantly elevated among mTBI + PTSD patients who were carriers of the apolipoprotein E E4 allele. These studies demonstrate that AA-derived oxylipins and anandamide may be unique blood biomarkers of PTSD and mTBI + PTSD. Further, these AA metabolites may be indicative of an underlying inflammatory process that warrants further investigation. Future validation studies in larger cohorts are required to determine a potential application of this approach in providing a differential diagnosis of mTBI and PTSD in a clinical setting.

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Subjective well-being is a positive psychological construct that has important implications for the U.S. Military's goal to develop service members' strengths and support their overall thriving and downstream resilience. Despite this, the concept of well-being has not been well studied in military populations who have unique work demands, stressors, and autonomy/agency in daily life compared to civilians. To address this shortcoming in the literature, the present study assessed Ryff's measures of psychological well-being (PWB) in 1,333 U.S. service members prior to the deployments in the Middle East. Various methods attempting to validate the theoretical model purported by Ryff were unsuccessful, and exploratory factor analyses did not result in a novel model for this population. Future research should continue to evaluate proposed models of soldier well-being and propose novel theories, as well as measures, to assess this important construct. Implications are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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Laboratory-based studies designed to mimic combat or military field training have consistently demonstrated deleterious effects on warfighter's physical, cognitive, and emotional performance during simulated military operational stress (SMOS). Purpose: The present investigation sought to determine the impact of a 48-h simulated military operational stress (SMOS) on military tactical adaptive decision making, and the influence of select psychological, physical performance, cognitive, and physiological outcome measures on decision making performance. Methods: Male (n = 48, 26.2 ± 5.5 years, 177.7 ± 6.6 cm, 84.7 ± 14.1 kg.) subjects currently serving in the U.S. military were eligible to participate in this study. Eligible subjects completed a 96-h protocol that occurred over five consecutive days and four nights. Day 2 (D2) and day 3 (D3) consisted of 48-h of SMOS wherein sleep opportunity and caloric needs were reduced to 50%. Differences in SPEAR total block score from baseline to peak stress (D3 minus D1) were calculated to assess change in military tactical adaptive decision making and groups were stratified based on increase (high adaptors) or decrease (low adaptors) of the SPEAR change score. Results: Overall, military tactical decision-making declined 1.7% from D1 to D3 (p < 0.001). High adaptors reported significantly higher scores of aerobic capacity (p < 0.001), self-report resilience (p = 0.020), extroversion (p < 0.001), and conscientiousness (p < 0.001). at baseline compared to low adaptors, while low adaptors reported greater scores in Neuroticism (p < 0.001). Conclusion: The present findings suggest that service members whose adaptive decision making abilities improved throughout SMOS (i.e., high adaptors) demonstrated better baseline psychological/self-reported resilience and aerobic capacity. Further, changes in adaptive decision-making were distinct from those of lower order cognitive functions throughout SMOS exposure. With the transition of future military conflicts placing higher priority on enhancing and sustaining cognitive readiness and resiliency, data presented here demonstrates the importance of measuring and categorizing baseline measures inherent to military personnel, in order to change and train one's ability to suffer less of a decline during high stress conditions.

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INTRODUCTION: This project tested whether Service Members (SM) and Veterans with current suicidal ideation or a history of suicide attempt had greater interoceptive dysfunction than SM and Veterans with past or no suicidal ideation. METHOD: Participants (N = 195; 69% male) were SM (62%) and Veterans (38%) who completed measures of suicidal thoughts and behaviors and subjective and objective interoceptive dysfunction. Participants were split into the following suicide groups: no suicidality, lifetime ideation, current ideation, and past attempt. Planned orthogonal contrasts tested for differences. RESULTS: The combined suicidality group (lifetime ideation, current ideation, or past attempt) had worse body trust relative to the no suicidality group, and the current ideation group had worse body trust relative to those with lifetime ideation. Those with a history of suicide attempt had worse body appreciation than the combined group of ideators, and those with current ideation had worse body appreciation relative to those with lifetime ideation. The groups did not differ on objective interoception. CONCLUSION: Interoception is disrupted among individuals with suicidality histories within a predominantly male-identified military sample. Individuals with current suicidal ideation had both worse body trust and appreciation relative to those with past ideation. Suicide risk assessments may benefit from including questions related to body trust.

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BACKGROUND: Recognizing sport-related concussion (SRC) is challenging and relies heavily on subjective symptom reports. An objective, biological marker could improve recognition and understanding of SRC. There is emerging evidence that salivary micro-ribonucleic acids (miRNAs) may serve as biomarkers of concussion; however, it remains unclear whether concussion-related miRNAs are impacted by exercise. We sought to determine whether 40 miRNAs previously implicated in concussion pathophysiology were affected by participation in a variety of contact and non-contact sports. Our goal was to refine a miRNA-based tool capable of identifying athletes with SRC without the confounding effects of exercise. METHODS: This case-control study harmonized data from concussed and non-concussed athletes recruited across 10 sites. Levels of salivary miRNAs within 455 samples from 314 individuals were measured with RNA sequencing. Within-subjects testing was used to identify and exclude miRNAs that changed with either (a) a single episode of exercise (166 samples from 83 individuals) or (b) season-long participation in contact sports (212 samples from 106 individuals). The miRNAs that were not impacted by exercise were interrogated for SRC diagnostic utility using logistic regression (172 samples from 75 concussed and 97 non-concussed individuals). RESULTS: Two miRNAs (miR-532-5p and miR-182-5p) decreased (adjusted p < 0.05) after a single episode of exercise, and 1 miRNA (miR-4510) increased only after contact sports participation. Twenty-three miRNAs changed at the end of a contact sports season. Two of these miRNAs (miR-26b-3p and miR-29c-3p) were associated (R > 0.50; adjusted p < 0.05) with the number of head impacts sustained in a single football practice. Among the 15 miRNAs not confounded by exercise or season-long contact sports participation, 11 demonstrated a significant difference (adjusted p < 0.05) between concussed and non-concussed participants, and 6 displayed moderate ability (area under curve > 0.70) to identify concussion. A single ratio (miR-27a-5p/miR-30a-3p) displayed the highest accuracy (AUC = 0.810, sensitivity = 82.4%, specificity = 73.3%) for differentiating concussed and non-concussed participants. Accuracy did not differ between participants with SRC and non-SRC (z = 0.5, p = 0.60). CONCLUSION: Salivary miRNA levels may accurately identify SRC when not confounded by exercise. Refinement of this approach in a large cohort of athletes could eventually lead to a non-invasive, sideline adjunct for SRC assessment.

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BACKGROUND: Military personnel must maintain physical performance despite exposure to operational stressors such as sleep loss, caloric restriction and high cognitive load. Habitual sleep and specific sleep features are positively associated with fitness and may contribute to physical performance in operational settings. Further, by affecting muscle recovery, sleep may contribute to the ability to maintain performance across multiple days of exposure to operational stressors. OBJECTIVES: We examined the role of individual differences in baseline sleep on baseline physical performance and on change in physical performance throughout exposure to simulated military operational stress (SMOS). METHODS: Military personnel (36 male, 9 female, 26.3 ± 5.3 years) completed a 5-day SMOS protocol during which they completed a tactical mobility test daily. Sleep questionnaires were administered at intake and sleep was monitored each night with polysomnography. Lasso regressions were used to identify meaningful predictors of physical performance at baseline and of change in physical performance across SMOS. RESULTS: Better aerobic fitness, lower daytime sleepiness (Epworth Sleepiness Scale), and lower absolute slow wave activity (0.5-4 Hz) predicted better physical performance at baseline (66.1% of variance explained), but did not relate to changes in performance. CONCLUSIONS: Collectively, higher daytime sleepiness and slow wave activity may reflect more chronic exposure to insufficient sleep and higher baseline sleep drive, which in turn led to compromised physical performance. The findings suggest that low self-report sleepiness and low objective slow wave activity may reflect two quantifiable markers of healthy sleep behaviors that have implications for operational performance.

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Perception-action coupling, the ability to 'read and react' to the environment, is essential for military personnel to operate within complex and unpredictable environments. Exposure to military operational stressors (e.g., caloric restriction, sleep loss, physical exertion), including around-the-clock operations, may compromise perception-action coupling, thereby impacting performance and safety. We examined the combined effects of simulated military operational stress (SMOS) and time-of-day on perception-action coupling. Fifty-seven active duty and reservist military personnel (45 M; 26.4 ± 5.6 years) completed a 5-day SMOS protocol that included two consecutive days of caloric restriction, and sleep restriction, and disruption. Participants completed a tablet-based perception-action coupling task (PACT) that involves perceiving whether virtual balls fit through virtual apertures. Familiarization occurred on day 0. Eight trials across day 1 (18:00, 22:00), 2 (04:00, 18:00, 22:00) and 3 (04:00, 18:00, 22:00) were analyzed. Mixed models were run to examine the interactive and main effects of day, and time-of-day on PACT response speed and accuracy outcomes. PACT response speed and accuracy outcomes improved at 18:00 and 22:00, whereas performance at 04:00 deteriorated across days. Perception-action coupling performance was resilient to SMOS, except in the early morning when the circadian drive for sleep is high, and the effects of sleep loss are more prominent.

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Concussion is a heterogeneous injury that relies predominantly on subjective symptom reports for patient assessment and treatment. Developing an objective, biological test could aid phenotypic categorization of concussion patients, leading to advances in personalized treatment. This prospective multi-center study employed saliva micro-ribonucleic acid (miRNA) levels to stratify 251 individuals with concussion into biological subgroups. Using miRNA biological clusters, our objective was to assess for differences in medical/demographic characteristics, symptoms, and functional measures of balance and cognition. The miRNAs that best defined each cluster were used to identify physiological pathways that characterized each cluster. The 251 participants (mean age: 18 ± 7 years; 57% male) were optimally grouped into 10 clusters based on 22 miRNA levels. The clusters differed in age (χ2 = 19.1, p = 0.024), days post-injury at the time of saliva collection (χ2 = 22.6; p = 0.007), and number of prior concussions (χ2 = 17.6, p = 0.040). The clusters also differed in symptom reports for fatigue (χ2 = 17.7; p = 0.039), confusion (χ2 = 22.3; p = 0.008), difficulty remembering (χ2 = 22.0; p = 0.009), and trouble falling asleep (χ2 = 17.2; p = 0.046), but not objective balance or cognitive performance (p > 0.05). The miRNAs that defined concussion clusters regulate 16 physiological pathways, including adrenergic signaling, estrogen signaling, fatty acid metabolism, GABAergic signaling, synaptic vesicle cycling, and transforming growth factor (TGF)-ß signaling. These results show that saliva miRNA levels may stratify individuals with concussion based on underlying biological perturbations that are relevant to both symptomology and pharmacological targets. If validated in a larger cohort, miRNA assessment could aid individualized, biology-driven concussion treatment.

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The Department of Defense (DoD) continues to emphasize operational readiness, lethality, and optimal performance. Performance psychology is a critical aspect of and central dimension to human performance optimization in support of Preservation of the Force and Family (POTFF) and Total Force Fitness (TFF). The delivery of performance psychology services must continue to evolve to maximize its potential for enhancing combat performance and supporting psychological readiness in warfighters across all branches of service. The authors (1) provide a brief history of the evolution of military psychology; (2) explore how performance psychology complements and broadens approaches to support warfighter health and readiness; and (3) present a set of strategies to advance performance psychology services toward an aspirational model. Such strategies will more effectively promote best practices to better target operational performance, complement existing health and medical service delivery, and encompass a systems approach to sustainable training. Moreover, these strategies aim to increase return on investment of psychological readiness efforts for warfighters across all branches of service.

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The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.

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STUDY OBJECTIVES: Within-subject stability of certain sleep features across multiple nights is thought to reflect the trait-like behavior of sleep. However, to be considered a trait, a parameter must be both stable and robust. Here, we examined the stability (i.e. across the same sleep opportunity periods) and robustness (i.e. across sleep opportunity periods that varied in duration and timing) of different sleep parameters. METHODS: Sixty-eight military personnel (14 W) spent 5 nights in the sleep laboratory during a simulated military operational stress protocol. After an adaptation night, participants had an 8-hour sleep opportunity (23:00-07:00) followed by 2 consecutive nights of sleep restriction and disruption which included two 2-hour sleep opportunities (01:00-03:00; 05:00-07:00) and, lastly, another 8-hour sleep opportunity (23:00-07:00). Intra-class correlation coefficients were calculated to examine differences in stability and robustness across different sleep parameters. RESULTS: Sleep architecture parameters were less stable and robust than absolute and relative spectral activity parameters. Further, relative spectral activity parameters were less robust than absolute spectral activity. Absolute alpha and sigma activity demonstrated the highest levels of stability that were also robust across sleep opportunities of varying duration and timing. CONCLUSIONS: Stability and robustness varied across different sleep parameters, but absolute NREM alpha and sigma activity demonstrated robust trait-like behavior across variable sleep opportunities. Reduced stability of other sleep architecture and spectral parameters during shorter sleep episodes as well as across different sleep opportunities has important implications for study design and interpretation.

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BACKGROUND: For decades confirmatory factor analysis (CFA) has been the preeminent method to study the underlying structure of posttraumatic stress disorder (PTSD); however, methodological limitations of CFA have led to the emergence of other analytic approaches. In particular, network analysis has become a gold standard to investigate the structure and relationships between PTSD symptoms. A key methodological limitation, however, which has significant clinical implications, is the lack of data on the potential impact of item order effects on the conclusions reached through network analyses. METHODS: The current study, involving a large sample (N = 5055) of active duty army soldiers following deployment to Iraq, assessed the vulnerability of network analyses and prevalence rate to item order effects. This was done by comparing symptom networks of the DSM-IV PTSD checklist items to these same items distributed in random order. Half of the participants rated their symptoms on traditionally ordered items and half the participants rated the same items, but in random order and interspersed between items from other validated scales. Differences in prevalence rate and network composition were examined. RESULTS: The prevalence rate differed between the ordered and random item samples. Network analyses using the ordered survey closely replicated the conclusions reached in the existing network analyses literature. However, in the random item survey, network composition differed considerably. CONCLUSION: Order effects appear to have a significant impact on conclusions reached from PTSD network analysis. Prevalence rates were also impacted by order effects. These findings have important diagnostic and clinical treatment implications.

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Rates of suicide in the US Army continue to rise, and by some accounts exceed the general population. This increase has renewed efforts to identify protective factors that may inform novel suicide prevention strategies. Previous research has demonstrated that a sense of purpose in life and perceived cohesion with military peers are related to a reduction in the severity of suicidal ideation (SI). Additionally, research in military samples supports decreased SI in Soldiers who endorse that their leaders convey a sense of purpose and meaning in their shared mission. However, no work has investigated whether these leadership styles relate to a sense of felt purpose and perceived cohesion in Soldiers and thus the indirect effect of these leadership styles on SI. Active duty Army Soldiers (n = 1,160) completed self-report measures of purpose in life (PiL), perceived cohesion, ethical leadership, loneliness, and SI. Indirect effect analyses were conducted to determine how leadership behaviors indirectly relate to SI through PiL and perceived cohesion. Indirect effect analyses revealed that ethical leadership had an indirect effect on reduced SI through increased PiL. In the same parallel indirect effect analysis, ethical leadership was related to less SI through increased perceived cohesion and decreased loneliness sequentially. Enhanced leadership training that effectively increases Soldier purpose may be an important primary prevention tool to mitigate the effect of suicide risk factors. This primary prevention strategy may help augment existing suicide surveillance and clinical prevention efforts to reduce Soldier risk for suicide.

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This study assessed changes in measures of personality traits across a 12-month combat deployment in a sample of conventional US Army soldiers. Results revealed Impulsive Sensation-Seeking (ImpSS) and Sociability (Sy) decreased significantly, whereas Neuroticism-Anxiety (N-Anx) increased. Changes in ImpSS scores were mainly attributed to age, but were inversely related to increases in traumatic stress symptoms. Combat exposure, concussion, age, education, and changes in traumatic stress scores all independently contributed to changes in N-Anx scores. Changes in Sy were not associated with any of the data available from pre-deployment or deployment measures. Changes in Aggression-hostility (Agg-Hos) and Activity (Act) across the deployment were not significant. The findings suggest significant variability in the stability of personality traits when exposed to combat stress and injury while deployed, which may be influenced by factors such as age and education.

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The suicide rate within the military continues to rise. New approaches for prevention are needed which capitalize on existing strengths, are scalable at multiple levels, and promote mental fortitude. Healthy eating (HE) and physical activity (PA) represent scalable practices and methods for promoting mental health and protective factors within the military. A cross-sectional sample of N = 1019 active-duty Soldiers completed self-report measures of HE, PA, major depressive disorder (MDD) symptoms, generalized anxiety disorder (GAD) symptoms, and suicidal ideation (SI). Moderated mediation analyses using bootstrapping techniques were used to determine if HE and PA interact to relate to lower SI through reduced psychological health (PH) symptoms. Results indicated an indirect effect of HE on presence versus absence of past month SI through GAD symptoms at moderate-to-high levels of cardiovascular PA. A similar pattern was demonstrated for strength training PA where HE had an indirect effect on past month SI through GAD symptoms at only high levels of strength training PA. HE was indirectly related to lower MDD symptoms at all levels of cardiovascular PA and moderate to high levels of strength training PA. Study limitations and implications for secondary suicide prevention strategies within the military are discussed.