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Introduction: Despite limited research on the topic, it has been observed that military members face unique challenges with social support. Methods: The current study used data provided by treatment-seeking Veterans and Canadian Armed Forces (CAF) members ( N=666) to: (1) determine whether symptomatology of posttraumatic stress disorder (PTSD), depression (MDD), anxiety, and suicidal ideation (SI) increased as level of perceived social support decreased; and (2) identify if the level of perceived social support is associated with PTSD, MDD, and anxiety symptom distress and SI frequency; this was done while controlling for demographic factors. Social support was measured using a single item grouped according to "low," "medium," and "high" levels of perceived support. Results: Overall, adequate social support was low with less than one-third (29%) of participants reporting a high level. There was an inverse association between social support and symptom distress for all mental health conditions, whereby those who perceived low social support had significantly greater symptom distress than those who perceived medium social support, who in turn reported significantly greater symptom distress than those perceiving high social support. Social support was significantly associated with all mental health conditions when controlling for demographic variables. The effect of social support on PTSD and SI affected Veterans and CAF members differently. Discussion: Our study highlights the difficulty this population faces in maintaining adequate social support alongside military-related mental health disorders. More research is required to fully understand the role of social support in military populations.

LAY SUMMARY Moral injury (MI) can be defined as a diverse set of outcomes associated with actions that transgress one's moral beliefs or values. MI can be distressing for an individual at the interpersonal level (e.g., shifting relationships, feelings of betrayal) and the intrapersonal level (e.g., internalized guilt and shame). Indeed, these transgressions of moral beliefs and values have been associated with a high prevalence of mental illnesses, such as posttraumatic stress disorder (PTSD) and depression. Although various forms of assessment exist to identify MI in the individual, treatments for MI are often interlinked or embedded in evidence-based treatments for PTSD and depression. As such, unique contributions of MI as a target of treatment remain largely unclear. In this article, the authors explore existing treatments that may be used to treat MI as a distinct mental health construct and examine their utility in reducing symptoms of MI in military and Veteran populations.

Introduction: Limited research has investigated gender differences among treatment-seeking Veterans and serving military personnel, despite important implications for treatment provision. In order to better serve the needs of women with military service, the authors sought to address this gap by examining the clinical presentation of men and women requesting services for military-related operational stress injuries (OSIs). Methods: Using a sample of 648 treatment-seeking male ( n = 550) and female ( n = 99) Veterans and Canadian Armed Forces (CAF) personnel, the authors compared prevalence of childhood sexual and physical abuse, probable mental health diagnoses (posttraumatic stress disorder [PTSD], depression, and generalized anxiety disorder [GAD]), and severity of pain and somatic symptoms. Results were rerun to control for sociodemographic variables that significantly differed by gender. Results: Rates of probable PTSD were higher for women ( p < 0.05), and women reported significantly more somatic symptoms ( p < 0.001), pain severity ( p < 0.01), and childhood sexual abuse (47% of the sample; p < 0.001). Both men and women reported equally high rates of childhood physical abuse (71% for both genders). Discussion: Women in this study had a higher prevalence of probable PTSD and childhood sexual abuse, and reported higher severity of pain and somatic symptoms. The study highlights the diverse range of issues that are clinically relevant for – and may complicate the treatment of – women with military service who have OSIs.

Abstract Background In this chart review, we attempted to evaluate the benefits of adding aripiprazole in veterans with military-related PTSD and comorbid depression, who had been minimally or partially responsive to their existing medications. Methods A retrospective chart review of patients who received an open-label, flexible-dose, 12- week course of adjunctive aripiprazole was conducted in 27 military veterans meeting DSM-IV criteria for PTSD and comorbid major depression. Concomitant psychiatric medications continued unchanged, except for other antipsychotics which were discontinued prior to initiating aripiprazole. The primary outcome variable was a change from baseline in the PTSD checklist-military version (PCL-M) and the Beck Depression Inventory (BDI-II). Results PTSD severity (Total PCL scores) decreased from 56.11 at baseline to 46.85 at 12-weeks (p < 0.0001 from Wilcoxon signed rank test) and the depression severity decreased from 30.44 at baseline to 20.67 at 12-weeks (p < 0.0001 from Wilcoxon signed rank test). Thirty seven percent (10/27) were considered responders, as defined by a decrease in total PCL scores of at least 20 percent and 19% (5/27) were considered as responders as defined by a decrease in total BDI score of at least 50%. Conclusions The addition of aripiprazole contributed to a reduction in both PTSD and depression symptomatology in a population that has traditionally demonstrated poor pharmacological response. Further investigations, including double-blind, placebo-controlled studies, are essential to confirm and further demonstrate the benefit of aripiprazole augmentation in the treatment of military related PTSD.

Post-traumatic stress disorder (PTSD) is a prevalent psychiatric disorder, particularly among military personnel and veterans. Cortical gyrification, as a specific metric derived from structural MRI, is an index of the convoluted folding and patterning of the gyri and sulci, and is thought to facilitate the efficiency of local neuronal wiring. It has the potential to act as a neurobiological risk factor for emergent psychiatric disorders – to date, it has been understudied in PTSD. Here, using a local measure of the degree of gyrification (local Gyrification Index, lGI) we investigate cortical gyrification morphology in 48 adult male soldiers with (n = 23) and without (n = 25) a PTSD diagnosis. We also examine the relation between lGI and PTSD severity within the PTSD group. General linear models yielded significant between-group differences with greater lGI found in PTSD in a cluster located in the medial occipito-parietal lobe on the left hemisphere and reduced lGI in a cluster located on the lateral surface of the parietal lobe on the right hemisphere. Brain-behaviour analyses within the PTSD group yielded significant positive associations between lGI and PTSD severity in a cluster located in the frontal cortex of the left hemisphere and scattered clusters located within all lobes of the right hemisphere. After accounting for the effects of comorbid psychiatric symptoms common in PTSD, the associations in the right hemisphere reduced to clusters only located in the frontal lobe, while the cluster in the left hemisphere remained significant. Our results suggest that atypical cortical gyrification in parietal and occipital regions may be implicated in the psychopathology of PTSD diagnosis, and properties of prefrontal gyrification associated with the emergent severity of PTSD after trauma. The importance of these regions in PTSD may be attributed to a pre-existing neurobiological risk factor, or neuromorphological changes after trauma precipitating emergent psychiatric illness. Our brain-behaviour relations ...

Introduction: Using a treatment-seeking sample of military personnel and Veterans ( n = 736), the objectives were to determine the prevalence of somatic symptoms in the sample and investigate whether the mean severity of somatic symptoms differed between common probable psychiatric conditions and comorbidity. Methods: The Patient Health Questionnaire–15 was used to determine somatic symptom severity. One-way analyses of variance and Tukey post hoc tests determined whether the severity of somatic symptom categories (musculoskeletal pain, neurological, cardiovascular, gastrointestinal, sleep, and lethargy) and total somatic symptom severity differed significantly between groups. Results: Most participants (80%) reported moderate to high levels of somatic symptoms, and more than half the sample had probable comorbid post-traumatic stress disorder (PTSD) and major depressive disorder (MDD). Mean total somatic symptom severity for the comorbid PTSD–MDD group was high and differed significantly from that of the PTSD- and MDD-only groups (medium severity) and the group with neither condition (mild severity). Severity of most mean somatic symptom categories differed significantly between comorbid PTSD and MDD for all other groups. Discussion: Results suggest that the presentation of comorbid PTSD and MDD is more detrimental in terms of somatic symptom severity than that of either disorder separately. Although there were some differences in the severity of specific somatic symptom types between the PTSD-only and the MDD-only groups, overall severity did not differ. After diagnosis of a mental health condition, military personnel and Veterans should be screened for somatic symptoms.

LAY SUMMARY Combat Veterans are vulnerable to suicidal thoughts and behaviour. Many who die by suicide deny having suicidal ideation (SI). Typically, researchers try to find variables indicating the presence of SI using traditional statistical approaches. These approaches do not possess the capacity to detect highly complex multivariable interactions. In contrast, machine learning (ML) is designed to detect such patterns and can consequently yield much higher predictive accuracy. In this study, the authors trained ML algorithms using 192 variables extracted from questionnaires administered to 738 Veterans and serving personnel to detect the presence of self-harm and SI (SHSI). Using the 10 most predictive non-suicide-related items, the ML algorithms could detect SHSI with 75.3% accuracy. Most of these items reflect psychological phenomena that can change quickly over time, allowing repeated risk reassessment from day to day. The study's findings suggest that ML methods may play an important role in the discovery, within a large data set, of predictive patterns that might be useful in suicide risk assessment.

BACKGROUND: Depression comorbid with posttraumatic stress disorder (PTSD) can be disabling and treatment resistant. Preliminary evidence suggests that repetitive transcranial magnetic stimulation (rTMS), may have a role in helping these patients. There are only few published studies using different rTMS paradigms including bilateral intermittent theta burst (iTBS) and low frequency rTMS. METHODS: In this small cohort observation study, we examined the efficacy of bilateral sequential theta-burst stimulation (bsTBS) in 8 treatment resistant depression (TRD) military veterans with PTSD comorbidity stemming from military service experience. RESULTS: bsTBS was generally well tolerated and resulted in 25% and 38% remission and response rates on Depression scores respectively; 25% remission and response rate on PTSD scores. DISCUSSION: This study demonstrates preliminary feasibility and safety of bsTBS in TRD with comorbid military service related PTSD. We concluded that this paradigm might hold promise as a therapeutic tool to help patients with TRD co-morbid with military service related PTSD. Further adequately powered studies to compare rTMS treatment paradigms in this patient group are warranted.

OBJECTIVES: The present report is the first study of Canadian military personnel to use longitudinal survey data to identify factors that determine major depressive episodes (MDEs) over a period of 16 years. METHODS: The study used data from the Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS) collected in 2018 (n = 2,941, response rate 68.7%) and linked baseline data from the same participants that were collected in 2002 when they were Canadian Regular Force members. The study used structured interviews to identify 5 common Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition mental disorders and collected demographic data, as well as information about traumatic experiences, childhood adversities, work stress, and potential resilience factors. Respondents were divided into 4 possible MDE courses: No Disorder, Remitting, New Onset, and Persistent/Recurrent. Relative risk ratios (RRRs) from multinomial regression models were used to evaluate determinants of these outcomes. RESULTS: A history of anxiety disorders and post-traumatic stress disorder (RRRs: 1.50 to 20.55), mental health service utilization (RRRs: 1.70 to 12.34), veteran status (RRRs: 1.64 to 2.15), deployment-associated traumatic events (RRRs: 1.71 to 2.27), sexual traumas (RRRs: 1.91 to 2.93), other traumas (RRRs: 1.67 to 2.64), childhood adversities (RRRs: 1.39 to 1.97), avoidance coping (RRRs 1.09 to 1.49), higher frequency of religious attendance (RRRs: 1.54 to 1.61), and work stress (RRRs: 1.05 to 1.10) were associated with MDE courses in most analyses. Problem-focused coping (RRRs: 0.73 to 0.91) and social support (RRRs: 0.95 to 0.98) were associated with protection against MDEs. CONCLUSIONS: The time periods following deployment and trauma exposure and during the transition from active duty to veteran status are particularly relevant for vulnerability to depression in military members. Interventions that enhance problem-focused coping and social support may be protective against MDEs in ...

BACKGROUND: Military-related posttraumatic stress disorder (PTSD) is a complex diagnosis with non-linear trajectories of coping and recovery. Current approaches to the evaluation of PTSD and treatment discontinuation often rely on biomedical models that dichotomize recovery based on symptom thresholds. This approach may not sufficiently capture the complex lived experiences of Veterans and their families. To explore conceptualizations of recovery, we sought perspectives from Veterans and their partners in a pilot study to understand: 1) how Veterans nearing completion of treatment for military-related PTSD and their partners view recovery; and 2) the experience of progressing through treatment towards recovery. METHODS: We employed a concurrent mixed methods design. Nine Veterans nearing the end of their treatment at a specialized outpatient mental health clinic completed quantitative self-report tools assessing PTSD and depressive symptom severity, and an individual, semi-structured interview assessing views on their treatment and recovery processes. Veterans' partners participated in a separate interview to capture views of their partners' treatment and recovery processes. Descriptive analyses of self-report symptom severity data were interpreted alongside emergent themes arising from inductive content analysis of qualitative interviews. RESULTS: While over half of Veterans were considered "recovered" based on quantitative assessments of symptoms, individual reflections of "recovery" were not always aligned with these quantitative assessments. A persistent narrative highlighted by participants was that recovery from military-related PTSD was not viewed as a binary outcome (i.e., recovered vs. not recovered); rather, recovery was seen as a dynamic, non-linear process. Key components of the recovery process identified by participants included a positive therapeutic relationship, social support networks, and a toolkit of adaptive strategies to address PTSD symptoms. CONCLUSIONS: For participants in our study, ...

Post-traumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI) are highly prevalent and closely related disorders. Affected individuals often exhibit substantially overlapping symptomatology – a major challenge for differential diagnosis in both military and civilian contexts. According to our symptom assessment, the PTSD group exhibited comparable levels of concussion symptoms and severity to the mTBI group. An objective and reliable system to uncover the key neural signatures differentiating these disorders would be an important step towards translational and applied clinical use. Here we explore use of MEG (magnetoencephalography)-multivariate statistical learning analysis in identifying the neural features for differential PTSD/mTBI characterisation. Resting state MEG-derived regional neural activity and coherence (or functional connectivity) across seven canonical neural oscillation frequencies (delta to high gamma) were used. The selected features were consistent and largely confirmatory with previously established neurophysiological markers for the two disorders. For regional power from theta, alpha and high gamma bands, the amygdala, hippocampus and temporal areas were identified. In line with regional activity, additional connections within the occipital, parietal and temporal regions were selected across a number of frequency bands. This study is the first to employ MEG-derived neural features to reliably and differentially stratify the two disorders in a multi-group context. The features from alpha and beta bands exhibited the best classification performance, even in cases where distinction by concussion symptom profiles alone were extremely difficult. We demonstrate the potential of using 'invisible' neural indices of brain functioning to understand and differentiate these debilitating conditions.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is often accompanied by other mental health conditions, including major depressive disorder (MDD), substance misuse disorders, and anxiety disorders. The objective of the current study is to delineate classes of comorbidity and investigate predictors of comorbidity classes amongst a sample of Canadian Armed Forces (CAF) Regular Force personnel. METHODS: Latent class analyses (LCAs) were applied to cross-sectional data obtained between April and August 2013 from a nationally representative random sample of 6700 CAF Regular Force personnel who deployed to the mission in Afghanistan. RESULTS: MDD was the most common diagnosis (8.0%), followed by PTSD (5.3%) and generalized anxiety disorder (4.7%). Of those with a mental health condition, LCA revealed 3 classes of comorbidity: a highly comorbid class (8.3%), a depressed-only class (4.6%), and an alcohol use–only class (3.1%). Multinomial logit regression showed that women (adjusted relative risk ratio [ARRR] = 2.77; 95% CI, 2.13 to 3.60; P < 0.01) and personnel reporting higher trauma exposure (ARRR = 4.18; 95% CI, 3.13 to 5.57; P < 0.01) were at increased risk of membership in the comorbid class compared to those without a mental health condition. When compared to those with no mental health condition, experiencing childhood abuse increased the risk of being in any comorbidity class. CONCLUSIONS: Results provide further evidence to support screening for and treatment of comorbid mental health conditions. The role of sex, childhood abuse, and combat deployment in determining class membership may also prove valuable for clinicians treating military-related mental health conditions.