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Although disparities in mental health occur within racially, ethnically, and sex-diverse civilian populations, it is unclear whether these disparities persist within US military populations. Using cross-sectional data from the Millennium Cohort Study (2014–2016; n  = 103,184; 70.3% male; 75.7% non-Hispanic White), a series of logistic regression analyses were conducted to examine whether racial, ethnic, and/or sex disparities were found in mental health outcomes (posttraumatic stress disorder (PTSD), depression, anxiety, and problematic anger), hierarchically adjusting for sociodemographic, military, health-related, and social support factors. Compared with non-Hispanic White individuals, those who identified as American Indian/Alaska Native, non-Hispanic Black, Hispanic/Latino, or multiracial showed greater risk of PTSD, depression, anxiety, and problematic anger in unadjusted models. Racial and ethnic disparities in mental health were partially explained by health-related and social support factors. Women showed greater risk of depression and anxiety and lower risk of PTSD than men. Evidence of intersectionality emerged for problematic anger among Hispanic/Latino and Asian or Pacific Islander women. Overall, racial, ethnic, and sex disparities in mental health persisted among service members and veterans. Future research and interventions are recommended to reduce these disparities and improve the health and well-being of diverse service members and veterans. [ABSTRACT FROM AUTHOR]

Military service characteristics Service-related factors that have been consistently assessed over time include combat experiences, environmental exposures, deployments (e.g. locations and dates), military satisfaction and reasons for separating from the military. Cohort Profile Update: The US Millennium Cohort Study - evaluating the impact of military experiences on service members and veteran health The Study is unique in having a diverse cohort from all service branches and components and in collecting data on service members even after they separate from the military. Sociodemographic factors (e.g. sex, age, marital status, race and ethnicity) and military factors (e.g. pay grade, service branch, time in service, military occupation, service component and separation) are obtained from the DMDC. [Extracted from the article]

US service members injured in the recent conflicts in Iraq and Afghanistan were more likely to survive than those in previous conflicts because of advances in medicine and protective gear. However, there is limited research examining the long-term impact of injuries while deployed on physical and mental quality of life (QOL) among service members. We used data from two time-points with an average follow-up period of 4.27 years (SD = 2.13; n = 118,054) to prospectively examine the association between deployment and injury status with QOL. Data were derived from the Millennium Cohort Study surveys (2001 to 2016) and linked with the Department of Defense Trauma Registry (DoD-TR) among a cohort of US service members from all branches and components. The primary predictor (a combination of deployment and injury status) was comprised of the following four categories: 1) not deployed, 2) deployed and not injured, 3) deployed and non-battle injured, and 4) deployed and battle injured. Demographic, military, psychological and behavioral health, and life stress factors were adjusted for in multivariable models. Outcomes of interest were physical and mental QOL from the Short-Form Health Survey for Veterans (VR-36) measured at ~4 year follow-up. Between group comparisons indicated that those deployed and battle-injured had the greatest decline in both mental (-3.82) and physical (-10.13) QOL scores over time (p <.05). While deployment and injury status were associated with poorer mental and physical QOL in adjusted models; only the association between deployment and injury status with physical QOL was clinically meaningful (more than 2.5). In adjusted models, Time 1 mental and physical QOL explained most of the variance (23–25%) in Time 2 mental and physical health QOL as compared to other covariates (e.g., injury and deployment, and other sociodemographic factors increased variance by ~5%). Time 1 QOL was the most significant predictor of later QOL, but those injured while deployed experienced significant and meaningful decrements to long-term physical QOL. This suggests that prevention and rehabilitation interventions should focus on improving physical health among injured service members to avoid long-term adverse effects. [ABSTRACT FROM AUTHOR]

This study examined the associations between a broad range of individual characteristics and homelessness among 49,323 post-9/11 era Veterans. Questions concerning the roles of premilitary, military and post military factors in Veteran’s vulnerability to homelessness have persisted despite the considerable attention given to Veteran homelessness, and has highlighted the absence of longitudinal studies that could contribute to the empirical understanding of risk and protective factors among this population. The Veterans in this study group completed Millennium Cohort Study surveys during their military service and subsequently, when they transitioned back to civilian life. Among these Veterans, 1,071 (2.2%) reported becoming homeless after separating from the military. Results from multivariate models provide limited empirical support for direct links between aspects of military service and homelessness that are widely used to explain why Veterans become homeless. Instead, many risk factors for homelessness found here mirror risk factors among the general population. We also find a persistent association between sexual orientation and risk for homelessness, and decreased risk for homelessness among female Veterans. These findings challenge popular conceptions of why Veterans become homeless and contribute to understanding the dynamics of becoming homeless among this current Veteran cohort. [ABSTRACT FROM AUTHOR]

Military operational stressors, such as combat exposure, may increase the risk of sexual health problems. This study examined factors associated with sexual health problems, and tested the mediating effect of probable posttraumatic stress disorder (PTSD) on the association between stressors (i.e., combat deployment and sexual assault) and sexual health problems among U.S. service men. Using multivariable logistic regression (n = 16,603) and Cox proportional hazards models (n = 15,330), we estimated the risk of self-reported sexual health difficulties and sexual dysfunction medical encounters, respectively. Mediation analyses examined the effect of probable PTSD as an intermediate factor between high combat deployment and sexual assault on sexual health problems. Approximately 9% endorsed sexual health difficulties and 8% had a sexual dysfunction. Risk factors for these sexual health problems included older age, lower education level, enlisted rank, disabling injury, certain medical conditions, and higher body mass index. Probable PTSD significantly mediated the associations between high combat with sexual health problems and sexual assault with sexual dysfunction. Additionally, high combat was directly associated with sexual health difficulties. These findings indicate a relationship between these stressors and sexual health problems which suggests that treatment options should be expanded, especially to include psychogenic sexual dysfunctions. [ABSTRACT FROM AUTHOR]

Background: Questionnaires used in longitudinal studies may have questions added or removed over time for numerous reasons. Data missing completely at a follow-up survey is a unique issue for longitudinal studies. While such excluded questions lack information at one follow-up survey, they are collected at other follow-up surveys, and covariances observed at other follow-up surveys may allow for the recovery of the missing data. This study utilized data from a large longitudinal cohort study to assess the efficiency and feasibility of using multiple imputation (MI) to recover this type of information.Methods: Millennium Cohort Study participants completed the 9-item Patient Health Questionnaire (PHQ) depression module at 2 time points (2004, 2007). The suicidal ideation item in the module was set to missing for the 2007 assessment. Several single-level MI models using different sets of predictors and forms of suicidal ideation were used to compare self-reported values and imputed values for this item in 2007. Additionally, associations with sleep duration and smoking status, which are related constructs, were compared between self-reported and imputed values of suicidal ideation.Results: Among 63,028 participants eligible for imputation analysis, 4.05% reported suicidal ideation on the 2007 survey. The imputation models successfully identified suicidal ideation, with a sensitivity ranging between 34 and 66% and a positive predictive value between 36 and 42%. Specificity remained above 96% and negative predictive value above 97% for all imputed models. Similar associations were found for all imputation models on related constructs, though the dichotomous suicidal ideation imputed from the model using only PHQ depression items yielded estimates that were closest with the self-reported associations for all adjusted analyses.Conclusions: Although sensitivity and positive predictive value were relatively low, applying MI techniques allowed for inclusion of an otherwise missing variable. Additionally, correlations with related constructs were estimated near self-reported values. Therefore, the other 8 depression items can be used to estimate suicidal ideation that was completely missing from a survey using MI. However, these imputed values should not be used to estimate population prevalence. [ABSTRACT FROM AUTHOR]

Background: Posttraumatic stress disorder (PTSD) often co-occurs with other psychiatric disorders, particularly major depressive disorder (MDD). The current study examined longitudinal trajectories of PTSD and MDD symptoms among service members and veterans with comorbid PTSD/MDD. Methods: Eligible participants (n = 1704) for the Millennium Cohort Study included those who screened positive at baseline for both PTSD (PTSD Checklist–Civilian Version) and MDD (Patient Health Questionnaire). Between 2001 and 2016, participants completed a baseline assessment and up to 4 follow-up assessments approximately every 3 years. Mixture modeling simultaneously determined trajectories of comorbid PTSD and MDD symptoms. Multinomial regression determined factors associated with latent class membership. Results: Four distinct classes (chronic, relapse, gradual recovery, and rapid recovery) described symptom trajectories of PTSD/MDD. Membership in the chronic class was associated with older age, service branch, deployment with combat, anxiety, physical assault, disabling injury/illness, bodily pain, high levels of somatic symptoms, and less social support. Conclusions: Comorbid PTSD/MDD symptoms tend to move in tandem, and, although the largest class remitted symptoms, almost 25% of participants reported chronic comorbid symptoms across all time points. Results highlight the need to assess comorbid conditions in the context of PTSD. Future research should further evaluate the chronicity of comorbid symptoms over time. [ABSTRACT FROM AUTHOR]

The Millennium Cohort Study is a longitudinal study which collects self-reported data from surveys to examine the long-term effects of military service. Participant nonresponse to follow-up surveys presents a potential threat to the validity and generalizability of study findings. In recent years, predictive analytics has emerged as a promising tool to identify predictors of nonresponse. Here, we develop a high-skill classifier using machine learning techniques to predict participant response to follow-up surveys of the Millennium Cohort Study. Six supervised algorithms were employed to predict response to the 2021 follow-up survey. Using latent class analysis (LCA), we classified participants based on historical survey response and compared prediction performance with and without this variable. Feature analysis was subsequently conducted on the best-performing model. Including the LCA variable in the machine learning analysis, all six algorithms performed comparably. Without the LCA variable, random forest outperformed the benchmark regression model, however overall prediction performance decreased. Feature analysis showed the LCA variable as the most important predictor. Our findings highlight the importance of historical response to improve prediction performance of participant response to follow-up surveys. Machine learning algorithms can be especially valuable when historical data are not available. Implementing these methods in longitudinal studies can enhance outreach efforts by strategically targeting participants, ultimately boosting survey response rates and mitigating nonresponse., (© 2024. The Author(s).)

Introduction: Although posttraumatic stress disorder (PTSD) and depression are prominent mental health conditions affecting United States service members, only a subset of individuals with these conditions utilize mental healthcare services. Identifying factors associated with mental healthcare utilization may elucidate military subgroups with unmet mental healthcare needs., Methods: Cross-sectional survey data from the 2019-2021 Millennium Cohort Study assessment were used to examine correlates of unmet mental healthcare needs among military personnel who screened positive for PTSD or depression symptoms (n=18,420) using modified Poisson regression models. Data analyses for this study were conducted between 2023 and 2024., Results: Approximately 32-43% of service members reported receiving any mental healthcare in the past 12 months. Hispanic and Asian or Pacific Islander personnel, and those with certain service characteristics (higher pay grade, recent deployment, experienced discrimination) had a lower likelihood of mental healthcare utilization. Female sex, greater symptom severity, experiencing bullying, and other psychosocial factors were associated with greater likelihood of mental healthcare utilization., Conclusions: One-third of service members with PTSD or depression symptoms reported any mental healthcare use, highlighting the need to identify factors that may impede or delay treatment. Racial and ethnic disparities in treatment utilization persist as do differences in utilization by military characteristics. Further research and initiatives are necessary to identify potential service-specific or cultural barriers and provide equitable quality and access to needed mental health services within the Military Health System., (Copyright © 2024. Published by Elsevier Inc.)