Predictive modeling of initiation and delayed mental health contact for depression.

BACKGROUND: Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment. METHODS: We obtained data from the VA Corporate Data Warehouse (CDW). EHR data were extracted for 127,423 Veterans who deployed to Iraq/Afghanistan after 9/11 with a positive depression screen and a first depression diagnosis between 2001 and 2021. We also obtained 12-month pre-diagnosis and post-diagnosis patient data. Retrospective cohort analysis was employed to test if predictors can reliably differentiate patients who initiated, delayed, or received no mental health treatment associated with their depression diagnosis. RESULTS: 108,457 Veterans with depression, initiated depression-related care (55,492 Veterans delayed treatment beyond one month). Those who were male, without VA disability benefits, with a mild depression diagnosis, and had a history of psychotherapy were less likely to initiate treatment. Among those who initiated care, those with single and mild depression episodes at baseline, with either PTSD or who lacked comorbidities were more likely to delay treatment for depression. A history of mental health treatment, of an anxiety disorder, and a positive depression screen were each related to faster treatment initiation. Classification of patients was modest (ROC AUC = 0.59 95%CI = 0.586-0.602; machine learning F-measure = 0.46). CONCLUSIONS: Having VA disability benefits was the strongest predictor of treatment initiation after a depression diagnosis and a history of mental health treatment was the strongest predictor of delayed initiation of treatment. The complexity of the relationship between VA benefits and history of mental health care with treatment initiation after a depression diagnosis is further discussed. Modest classification accuracy with currently known predictors suggests the need to identify additional predictors of successful depression management.

Alternative Structure Models of the Traumatic Brain Injury Rehabilitation Needs Survey: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: To explore the factor structure of the Rehabilitation Needs Survey (RNS). DESIGN: Secondary analysis of observational cohort study who were 5-years post-traumatic brain injury (TBI). SETTING: Five Inpatient Rehabilitation Facilities. PARTICIPANTS: Veterans enrolled in the TBI Model Systems longitudinal study who completed the RNS at 5-year follow-up (N=378). MAIN OUTCOME MEASURE(S): RNS. RESULTS: RNS factor structure was examined with exploratory factor analysis (EFA) with oblique rotation. Analyses returned 2- and 3-factor solutions with Cronbach alphas ranging from 0.715 to 0.905 and corrected item-total correlations that ranged from 0.279 to 0.732. The 2-factor solution accounted for 61.7% of the variance with ≥3 exclusively loading items on each factor with acceptable internal consistency metrics and was selected as the most parsimonious and clinically applicable model. Ad hoc analysis found the RNS structure per the EFA corresponded with elements of the International Classification of Functioning, Disability and Health (ICF) conceptual framework. All factors had adequate internal consistency (α≥0.70) and 20 of the 21 demonstrated good discrimination (corrected item-total correlations≥0.40). CONCLUSIONS: The 2-factor solution of the RNS appears to be a useful model for enhancing its clinical interpretability. Although there were cross-loading items, they refer to complex rehabilitation needs that are likely influenced by multiple factors. Alternatively, there are items that may require alteration and redundant items that should be considered for elimination.

Anxiety Trajectories the First 10 Years After a Traumatic Brain Injury (TBI): A TBI Model Systems Study.

OBJECTIVE: Determine anxiety trajectories and predictors up to 10 years posttraumatic brain injury (TBI). DESIGN: Prospective longitudinal, observational study. SETTING: Inpatient rehabilitation centers. PARTICIPANTS: 2836 participants with moderate to severe TBI enrolled in the TBI Model Systems National Database who had ≥2 anxiety data collection points (N=2836). MAIN OUTCOME MEASURE: Generalized Anxiety Disorder-7 (GAD-7) at 1, 2, 5, and 10-year follow-ups. RESULTS: Linear mixed models showed higher GAD-7 scores were associated with Black race (P<.001), public insurance (P<.001), pre-injury mental health treatment (P<.001), 2 additional TBIs with loss of consciousness (P=.003), violent injury (P=.047), and more years post-TBI (P=.023). An interaction between follow-up year and age was also related to GAD-7 scores (P=.006). A latent class mixed model identified 3 anxiety trajectories: low-stable (n=2195), high-increasing (n=289), and high-decreasing (n=352). The high-increasing and high-decreasing groups had mild or higher GAD-7 scores up to 10 years. Compared to the low-stable group, the high-decreasing group was more likely to be Black (OR=2.25), have public insurance (OR=2.13), have had pre-injury mental health treatment (OR=1.77), and have had 2 prior TBIs (OR=3.16). CONCLUSIONS: A substantial minority of participants had anxiety symptoms that either increased (10%) or decreased (13%) over 10 years but never decreased below mild anxiety. Risk factors of anxiety included indicators of socioeconomic disadvantage (public insurance) and racial inequities (Black race) as well as having had pre-injury mental health treatment and 2 prior TBIs. Awareness of these risk factors may lead to identifying and proactively referring susceptible individuals to mental health services.

Health Conditions Among Special Operations Forces Versus Conventional Military Service Members: A VA TBI Model Systems Study.

OBJECTIVE: To examine traumatic brain injury (TBI) characteristics and comorbid medical profiles of Special Operations Forces (SOF) Active Duty Service Member/Veterans (ADSM/Vs) and contrast them with conventional military personnel. SETTING: The 5 Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: A subset of participants in the VA TBI Model Systems multicenter longitudinal study with known SOF status. These included 157 participants who identified as SOF personnel (average age = 41.8 years; 96% male, 81% active duty), and 365 who identified as Conventional Forces personnel (average age = 37.4 years; 92% male, 30% active duty). DESIGN: Retrospective analysis of prospective cohort, cross-sectional. MAIN MEASURES: The Health Comorbidities Interview. RESULTS: SOF personnel were more likely to have deployed to a combat zone, had more years of active duty service, and were more likely active duty at time of TBI. SOF personnel were more likely to have had mild TBI (vs moderate/severe) and their TBI caused by violent mechanism. SOF personnel had a higher number of comorbidities, with more diagnoses of chronic pain, osteoarthritis, hyperlipidemia, hip fractures, and obstructive sleep apnea. CONCLUSION: SOF personnel are at a higher risk for multimorbidity after TBI. Current rehabilitation practices should incorporate early screening and treatment of common conditions in this population, while future practices may benefit from a focus on prevention.

Demographic and Mental Health Predictors of Arrests Up to 10 Years Post-Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: Examine rates and predictors of arrests in Veterans and Service Members (V/SM) who received inpatient rehabilitation for traumatic brain injury (TBI). SETTING: Veterans Administration (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: A total of 948 V/SM drawn from the VA TBI Model Systems cohort with arrest data up to 10 years post-TBI. DESIGN: Longitudinal cohort study; secondary analysis of pre-TBI characteristics predicting post-TBI arrests. MAIN MEASURES: Disclosure of arrests pre-TBI and up to10 years post-TBI. RESULTS: Thirty-six percent of the sample had been arrested prior to their TBI; 7% were arrested post-TBI. When considering all variables simultaneously in a multivariate model, pre-TBI mental health treatment (adjusted odds ratio [aOR] = 4.30; 95% confidence interval [CI]: 2.03-9.14), pre-TBI heavy alcohol use (aOR = 3.04; CI: 1.08-8.55), and number of follow-up interviews (aOR = 2.05; CI: 1.39-4.50) were significant predictors of post-TBI arrest. CONCLUSION: Arrest rates of V/SM prior to TBI were consistent with rates of arrest for people of similar ages in the United States. Post-TBI rates were lower for V/SM than published rates of post-TBI arrests in civilians with TBI. As part of rehabilitation planning for V/SM with TBI, providers should assess for preinjury mental health services and alcohol misuse to (1) identify those who may be at risk for postinjury arrests and (2) provide relevant resources and/or supports.

Posttraumatic Stress Disorder Symptoms Contribute to Staff Perceived Irritability, Anger, and Aggression After TBI in a Longitudinal Veteran Cohort: A VA TBI Model Systems Study.

OBJECTIVE: To examine the relationship between staff perceived irritability, anger, and aggression and posttraumatic stress disorder (PTSD) in veterans with traumatic brain injury (TBI) of all severity levels. DESIGN: Longitudinal cohort design. SETTING: Veterans Affairs Polytrauma Transitional Rehabilitation Programs. PARTICIPANTS: Veterans and service members with TBI of all severity levels enrolled in the Veterans Affairs Polytrauma Rehabilitation Centers' Traumatic Brain Injury Model System national database (N=240). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Univariable and multivariable logistic regression modeling was used to examine the association between irritability, anger, and aggression and potential risk factors, including PTSD symptoms. Irritability, anger, and aggression was measured as a single construct using an item from the Mayo-Portland Adaptability Inventory-4 that was rated by program staff at admission and discharge from the inpatient rehabilitation program. PTSD symptoms were assessed using the PTSD Checklist-Civilian Version. RESULTS: PTSD symptoms uniquely predicted program staff-rated irritability, anger, and aggression at discharge even after controlling for severity of TBI, age, male sex, education, and annual earnings. The model explained 19% of the variance in irritability, anger, and aggression. CONCLUSIONS: When TBI severity and PTSD symptoms were considered simultaneously in a sample of veterans, only PTSD symptoms predicted staff-rated irritability, anger, and aggression. Given the negative outcomes linked with irritability, anger, and aggression, veterans may benefit from assessment and treatment of PTSD symptoms within rehabilitation settings.

Manage Emotions to Reduce Aggression: A Pilot Study of a Brief Treatment to Help Veterans Reduce Impulsive Aggression.

Veterans with posttraumatic stress disorder (PTSD) report more aggression than civilians with PTSD. Because emotion regulation difficulties mediated the relationship between PTSD symptoms and impulsive aggression in veterans, we developed an intervention to increase emotion regulation skills. This pilot study tested the feasibility and acceptability of a three-session treatment, Manage Emotions to Reduce Aggression (MERA), and examined its effectiveness at reducing aggression and emotion dysregulation. Male combat veterans with PTSD and impulsive aggression completed assessments before and 4 weeks after MERA. Overt Aggression Scale measured frequency of aggression; Difficulties in Emotion Regulation Scale assessed emotion dysregulation. Most veterans (95%) who completed MERA and the posttreatment assessment (n = 20) reported MERA was helpful. Veterans in the intent-to-treat sample demonstrated a significant decrease in their frequency of aggression (Cohen's d = -0.55) and emotion dysregulation (Cohen's d = -0.55). MERA may be an innovative treatment that helps veterans reduce aggression.

Changes in anger and aggression after treatment for PTSD in active duty military.

OBJECTIVE: To examine whether treating posttraumatic stress disorder (PTSD) reduces anger and aggression and if changes in PTSD symptoms are associated with changes in anger and aggression. METHOD: Active duty service members (n = 374) seeking PTSD treatment in two randomized clinical trials completed a pretreatment assessment, 12 treatment sessions, and a posttreatment assessment. Outcomes included the Revised Conflict Tactics Scale and state anger subscale of the State-Trait Anger Expression Inventory. RESULTS: Treatment groups were analyzed together. There were small to moderate pretreatment to posttreatment reductions in anger (standardized mean difference [SMD] = -0.25), psychological aggression (SMD = -0.43), and physical aggression (SMD = -0.25). The majority of participants continued to endorse anger and aggression at posttreatment. Changes in PTSD symptoms were mildly to moderately associated with changes in anger and aggression. CONCLUSIONS: PTSD treatments reduced anger and aggression with effects similar to anger and aggression treatments; innovative psychotherapies are needed.

The Role of Affect and Coping in Diabetes Self-Management in Rural Adults with Uncontrolled Diabetes and Depressive Symptoms.

Many patients with diabetes have poorly controlled blood sugar levels and remain at risk for serious diabetes complications, despite access to effective diabetes treatments and services. Using the transactional model of stress and coping framework, the study investigated the contributions of affect (Positive and Negative Affect Schedule) and coping (maladaptive and adaptive coping from the Brief Cope) on diabetes self-management behaviors, namely diet and exercise. One hundred seventy-eight rural adults with uncontrolled diabetes and moderate depressive symptoms completed the measures. Multiple regression analyses demonstrated that positive affect and negative affect were significantly associated with diet and exercise, even after adjusting for diabetes severity, illness intrusiveness, and diabetes knowledge. However, two path analyses clarified that adaptive coping mediated the relationships between affect (positive and negative) and self-management behaviors (diet and exercise). Comprehensive diabetes treatments that include self-management support can assist patients in recognition and use of adaptive emotion-focused coping skills.

Fear of Losing Emotional Control Is Associated With Cognitive Processing Therapy Outcomes in U.S. Veterans of Afghanistan and Iraq.

Evidence-based treatments for posttraumatic stress disorder (PTSD) can reduce symptoms and improve veterans' psychological health. Unfortunately, many veterans leave treatment before receiving maximum benefit. Fear of emotions is related to severity of PTSD, and changes in fear of emotions are correlated with changes in PTSD symptoms. This study built upon the literature linking greater fear of emotions to PTSD severity by examining whether pretreatment fear of emotions, measured by the Affect Control Scale, was associated with completion of cognitive processing therapy (CPT) and severity of posttreatment PTSD in a sample of 89 U.S. veterans who had served in Afghanistan and Iraq. About 60% of veterans completed 10 or more therapy sessions. A logistic regression on 51 of the 89 subjects that more fear of anxiety at pretreatment was associated with decreased likelihood of completing treatment, OR = 0.93, 95% CI [0.87, 1.00]. Of those veterans who completed treatment, higher fear of anger at pretreatment was negatively related to severity of PTSD posttreatment (ß = -.29, p = .037), in a model with the other predictors. Assessing veterans for fear of anxiety and anger before CPT and teaching emotion regulation skills to those in need may reduce treatment dropout.

Emotion dysregulation mediates the relationship between traumatic exposure and aggression in healthy young women.

Research has linked trauma-sequelae, such as posttraumatic stress disorder, to aggression. However, not all who experience a trauma become violent, suggesting non-trauma factors, such as emotion dysregulation, influence aggression expression and if confirmed, may influence treatment approaches. Aggression can be considered a multifaceted construct with Impulsive Aggression (IA) as emotional, reactive, and uncontrolled and Premeditated Aggression (PA) as deliberate, planned, and instrumental. We hypothesized that parceling apart IA and PA may further refine predictors of aggression in the context of trauma exposure. We tested this hypothesis in undergraduate women (N = 208) who completed trauma, emotion, and aggression measures. Path analysis indicated that Borderline Features, including emotion dysregulation, mediated the relationship between trauma exposure and IA and PA. The finding extends clinical literature by providing evidence that emotion dysregulation influences both IA and PA in a non-clinical sample, while clinical sample research shows emotion dysregulation more specifically mediated the relationship between trauma and IA. Factors responsible for these differences are discussed.

The cycle of classification: DSM-I through DSM-5.

The Diagnostic and Statistical Manual of Mental Disorders (DSM) was created in 1952 by the American Psychiatric Association so that mental health professionals in the United States would have a common language to use when diagnosing individuals with mental disorders. Since the initial publication of the DSM, there have been five subsequent editions of this manual published (including the DSM-III-R). This review discusses the structural changes in the six editions and the research that influenced those changes. Research is classified into three domains: (a) issues related to the DSMs as measurement systems, (b) studies of clinicians and how clinicians form diagnoses, and (c) taxonomic issues involving the philosophy of science and metatheoretical ideas about how classification systems function. The review ends with recommendations about future efforts to revise the DSMs.

John L. McNulty (1955-2023).

Dr. John L. McNulty, born on January 25, 1955, in Bartlesville, Oklahoma, passed away on October 31, 2023, in Tulsa, Oklahoma, at the age of 68 years. Ever the pragmatist and always bringing a critical mindset to test use, Dr. McNulty coauthored seminal articles demonstrating the absence of predictive bias among African Americans. His commitment to diversity more recently focused on contemporary assessment with transgender and gender-diverse individuals. While Dr. McNulty's empirical work advanced the field of personality and psychopathology, his relationships with colleagues and mentees are his most lasting legacy. Dr. McNulty inspired many while he was here, and his memory will inspire many into the future. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Applying the PTSD Checklist-Civilian and PTSD Checklist for DSM-5 crosswalk in a traumatic brain injury sample: A veterans affairs traumatic brain injury model systems study.

This study evaluates the use of the crosswalk between the PTSD Checklist-Civilian (PCL-C) and PTSD Checklist for DSM-5 (PCL-5) designed by Moshier et al. (2019) in a sample of service members and veterans (SM/V; N = 298) who had sustained a traumatic brain injury (TBI) and were receiving inpatient rehabilitation. The PCL-C and PCL-5 were completed at the same time. Predicted PCL-5 scores for the sample were obtained according to the crosswalk developed by Moshier et al. We used three measures of agreement: intraclass correlation coefficient (ICC), mean difference between predicted and observed scores, and Cohen's κ to determine the performance of the crosswalk in this sample. Subgroups relevant to those who have sustained a TBI, such as TBI severity, were also examined. There was strong agreement between the predicted and observed PCL-5 scores (ICC = .95). The overall mean difference between predicted and observed PCL-5 scores was 0.07 and not statistically significant (SD = 8.29, p = .89). Significant mean differences between predicted and observed PCL-5 scores calculated between subgroups were seen in Black participants (MD = -4.09, SD = 8.41, p = .01) and those in the Year 5 follow-up group (MD = 1.77, SD = 7.14, p = .03). Cohen's κ across subgroups had a mean of κ = 0.76 (.57-1.0), suggesting that there was moderate to almost perfect diagnostic agreement. Our results suggest the crosswalk created by Moshier et al. can be applied to SM/V who have suffered a TBI. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Impact of Non-Pain Factors on Pain Interference Among U.S. Service Members and Veterans with Symptoms of Mild Traumatic Brain Injury.

U.S. Service members and Veterans (SM/V) experience elevated rates of traumatic brain injury (TBI), chronic pain, and other non-pain symptoms. However, the role of non-pain factors on pain interference levels remains unclear among SM/Vs, particularly those with a history of TBI. The primary objective of this study was to identify factors that differentiate high/low pain interference, given equivalent pain intensity among U.S. SM/V participating in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) national multi-center prospective longitudinal observational study. An explainable machine learning was used to identify key predictors of pain interference conditioned on equivalent pain intensity. The final sample consisted of n = 1,577 SM/Vs who were predominantly male (87%), and 83.6% had a history of mild TBI(s) (mTBI), while 16.4% were TBI negative controls. The sample was categorized according to pain interference level (Low: 19.9%, Moderate: 52.5%, and High: 27.6%). Both pain intensity scores and pain interference scores increased with the number of mTBIs (p < 0.001), and there was evidence of a dose response between the number of injuries and pain scores. Machine learning models identified fatigue and anxiety as the most important predictors of pain interference, whereas emotional control was protective. Partial dependence plots identified that marginal effects of fatigue and anxiety were associated with pain interference (p < 0.001), but the marginal effect of mTBI was not significant in models considering all variables (p > 0.05). Non-pain factors are associated with functional limitations and disability experience among SM/V with an mTBI history. The functional effects of pain may be mediated through multiple other factors. Pain is a multi-dimensional experience that may benefit most from holistic treatment approaches that target comorbidities and build supports that promote recovery.

Mental health treatment utilization patterns among 108,457 Afghanistan and Iraq veterans with depression.

People with depression often underutilize mental health care. This study was conceived as a first step toward a clinical decision support tool that helps identify patients who are at higher risk of underutilizing care. The primary goals were to (a) describe treatment utilization patterns, early termination, and return to care; (b) identify factors associated with early termination of treatment; and (c) evaluate the accuracy of regression models to predict early termination. These goals were evaluated in a retrospective cohort analysis of 108,457 U.S. veterans who received care from the Veterans Health Administration between 2001 and 2021. Our final sample was 16.5% female with an average age of 34.5. Veterans were included if they had a depression diagnosis, a positive depression screen, and received general health care services at least a year before and after their depression diagnosis. Using treatment quality guidelines, the threshold for treatment underutilization was defined as receiving fewer than four psychotherapy sessions or less than 84 days of antidepressants. Over one fifth of veterans (21.6%) received less than the minimally recommended care for depression. The odds of underutilizing treatment increased with lack of Veterans Administration benefits, male gender, racial/ethnic minority status, and having received mental health treatment in the past (adjusted OR > 1.1). Posttraumatic stress disorder comorbidity correlated with increased depression treatment utilization (adjusted OR < .9). Models with demographic and clinical information from medical records performed modestly in classifying patients who underutilized depression treatment (area under the curve = 0.595, 95% CI [0.588, 0.603]). Most veterans in this cohort received at least the minimum recommended treatment for depression. To improve the prediction of underutilization, patient factors associated with treatment underutilization likely need to be supplemented by additional clinical information. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Associations Between Sociodemographic, Mental Health, and Mild Traumatic Brain Injury Characteristics With Lifetime History of Criminal Justice Involvement in Combat Veterans and Service Members.

INTRODUCTION: Veterans and service members (V/SM) may have more risk factors for arrest and felony incarceration (e.g., posttraumatic stress disorder and at-risk substance use) but also more protective factors (e.g., access to health care) to mitigate behaviors that may lead to arrest. As such, understanding which factors are associated with criminal justice involvement among V/SM could inform prevention and treatment efforts. The current study examined relationships between lifetime history of arrests and felony incarceration and sociodemographic, psychological, and brain injury characteristics factors among combat V/SM. MATERIALS AND METHODS: The current study was a secondary data analysis from the Chronic Effects of Neurotrauma Consortium multicenter cohort study, approved by local institutional review boards at each study site. Participants were V/SM (N = 1,540) with combat exposure (19% active duty at time of enrollment) who were recruited from eight Department of Veterans Affairs and DoD medical centers and completed a baseline assessment. Participants were predominantly male (87%) and white (72%), with a mean age of 40 years (SD = 9.7). Most (81%) reported a history of at least one mild traumatic brain injury, with one-third of those experiencing three or more mild traumatic brain injuries (33%). Participants completed a self-report measure of lifetime arrest and felony incarceration history, a structured interview for all potential concussive events, the post-traumatic stress disorder checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and the Alcohol Use Disorders Identification Test-Consumption. Three groups were compared on self-reported level of lifetime history of criminal justice system involvement: (1) no history of arrest or incarceration (65%); (2) history of arrest but no felony incarceration (32%); and (3) history of felony incarceration (3%). RESULTS: Ordinal regression analyses revealed that hazardous alcohol consumption (ß = .44, P < .001; odds ratio = 1.56) was positively associated with increased criminal justice involvement after adjusting for all other variables. Being married or partnered (ß = -.44, P < .001; odds ratio = 0.64) was negatively associated with decreased criminal justice involvement. CONCLUSIONS: The rate of lifetime arrest (35%) in this V/SM sample was consistent with rates of arrests in the U.S. general population. One modifiable characteristic associated with lifetime arrest and felony incarceration was hazardous alcohol consumption. Alcohol use should be a top treatment target for V/SM at risk for arrest and those with history of criminal justice involvement.

Exploring the relationship between sleep apnea and vestibular symptoms following traumatic brain injury.

BACKGROUND: Traumatic brain injury (TBI) is a complex health problem in military veterans and service members (V/SM) that often involves comorbid vestibular impairment. Sleep apnea is another comorbidity that may exacerbate, and/or be exacerbated by, vestibular dysfunction. OBJECTIVE: To examine the relationship between sleep apnea and vestibular symptoms in V/SM diagnosed with TBI of any severity. DESIGN: Multicenter cohort study; cross-sectional sample. SETTING: In-patient TBI rehabilitation units within five Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: V/SM with a diagnosis of TBI (N = 630) enrolled in the VA TBI Model Systems study. INTERVENTION: Not applicable. METHODS: A multivariable regression model was used to evaluate the association between sleep apnea and vestibular symptom severity while controlling for relevant covariates, for example, posttraumatic stress disorder (PTSD). MAIN OUTCOME MEASURES: Lifetime history of sleep apnea was determined via best source reporting. Vestibular disturbances were measured with the 3-item Vestibular subscale of the Neurobehavioral Symptom Inventory (NSI). RESULTS: One third (30.6%) of the sample had a self-reported sleep apnea diagnosis. Initial analysis showed that participants who had sleep apnea had more severe vestibular symptoms (M = 3.84, SD = 2.86) than those without sleep apnea (M = 2.88, SD = 2.67, p < .001). However, when the data was analyzed via a multiple regression model, sleep apnea no longer reached the threshold of significance as a factor associated with vestibular symptoms. PTSD severity was shown to be significantly associated with vestibular symptoms within this sample (p < .001). CONCLUSION: Analysis of these data revealed a relationship between sleep apnea and vestibular symptoms in V/SM with TBI. The significance of this relationship was affected when PTSD symptoms were factored into a multivariable regression model. However, given that the mechanisms and directionality of these relationships are not yet well understood, we assert that in terms of clinical relevance, providers should emphasize screening for each of the three studied comorbidities (sleep apnea, vestibular symptoms, and PTSD).

Comparing Outcomes of the Veterans Health Administration's Traumatic Brain Injury and Mental Health Screening Programs: Types and Frequency of Specialty Services Used.

The Veterans Health Administration (VHA) screens veterans who deployed in support of the wars in Afghanistan and Iraq for traumatic brain injury (TBI) and mental health (MH) disorders. Chronic symptoms after mild TBI overlap with MH symptoms, for which there are already established screens within the VHA. It is unclear whether the TBI screen facilitates treatment for appropriate specialty care over and beyond the MH screens. Our primary objective was to determine whether TBI screening is associated with different types (MH, Physical Medicine & Rehabilitation [PM&R], and Neurology) and frequency of specialty services compared with the MH screens. A retrospective cohort design examined veterans receiving VHA care who were screened for both TBI and MH disorders between Fiscal Year (FY) 2007 and FY 2018 (N = 241,136). We calculated service utilization counts in MH, PM&R, and Neurology in the six months after the screens. Zero-inflated negative binomial regression models of encounters (counts) were fit separately by specialty care type and for a total count of specialty services. We found that screening positive for TBI resulted in 2.38 times more specialty service encounters than screening negative for TBI. Compared with screening positive for MH only, screening positive for both MH and TBI resulted in 1.78 times more specialty service encounters and 1.33 times more MH encounters. The TBI screen appears to increase use of MH, PM&R, and Neurology services for veterans with post-deployment health concerns, even in those also identified as having a possible MH disorder.