Army Installations Research Articles

Wet bulb globe temperature from climate model outputs: a method for projecting hourly site-specific values and trends.

Increasing temperature will impact future outdoor worker safety but quantifying this impact to develop local adaptations is challenging. Wet bulb globe temperature (WBGT) is the preferred thermal index for regulating outdoor activities in occupational health, athletic, and military settings, but global circulation models (GCMs) have coarse spatiotemporal resolution and do not always provide outputs required to project the full diurnal range of WBGT. This article presents a novel method to project WBGT at local spatial and hourly temporal resolutions without many assumptions inherent in previous research. We calculate sub-daily future WBGT from GCM output and then estimate hourly WBGT based on a site-specific, historical diurnal cycles. We test this method against observations at U.S. Army installations and find results match closely. We then project hourly WBGT at these locations from January 1, 2025, to December 31, 2100, to quantify trends and estimate future periods exceeding outdoor activity modification thresholds. We find regional patterns affecting WBGT, suggesting accurately projecting WBGT demands a localized approach. Results show increased frequency of hours at high WBGT and, using U.S. military heat thresholds, we estimate impacts to future outdoor labor. By mid-century, some locations are projected to average 20 or more days each summer when outdoor labor will be significantly impacted. The method's fine spatiotemporal resolution enables detailed analysis of WBGT projections, making it useful applied at specific locations of interest.

Japanese Encephalitis Virus Surveillance in U.S. Army Installations in the Republic of Korea from 2021 to 2023.

Japanese encephalitis is a disease caused by the Japanese encephalitis virus (JEV) and is a concern for U.S. military personnel stationed in the Republic of Korea (ROK). The recent literature reports a potential shift from GI to GV as the dominant genotype circulating in east Asia. In the ROK, GV has been reported in a few Culex spp., but not in the main JEV vector, Cx. tritaeniorhynchus. The goal of this surveillance was to shed light on the current knowledge of the epidemiology of JEV in the ROK by analyzing mosquito collection data from three consecutive years, 2021-2023, and molecularly detecting and genotyping JEV in all Culex spp. collected in several military locations across the ROK. In this study, we detected only JEV GI in Cx. tritaeniorhynchus in 2021 samples. In contrast, all 2022 and 2023 positive samples were GV and detected in Cx. bitaeniorhynchus, Cx. orientalis, and Cx. pipiens. Results support a shift in JEV genotype in the ROK and suggest that for GV, Culex spp. other than Cx. tritaeniorhynchus may be playing an important role.

Organizational Capacity for Sexual Assault Prevention Within a U.S. Army Installation

ABSTRACT Introduction Preventing military sexual assault (SA) is a DoD priority. Building prevention capacity could strengthen the impact of prevention programs and improve outcomes. Capacity was conceptualized as implementation knowledge and skills using the Getting To Outcomes (GTO) process and organizational-level capacities using the Prevention Evaluation Framework, a framework that applies best practices in prevention and implementation science to prevention at the program and organizational level. The present study assesses implementation knowledge and skills currently possessed by SA prevention personnel in one U.S. Army installation with the goal of identifying preexisting proficiencies and potential gaps. The study uses the Prevention Evaluation Framework organizational-level domains to identify organizational capacities that could be improved. Materials and Methods Fifteen SA prevention program personnel were recruited for individual 1-hour interviews from one U.S. Army installation. A semi-structured interview guide was developed by the study team to assess knowledge and skills within the GTO framework. Applied thematic analysis guided data coding and analysis. Results Participants reported a range of proficiencies and gaps in capacity for SA prevention. Within the prevention workforce capacity, proficiencies were skill in tailoring training, and an existing train-the-trainer model. Gaps were training to facilitate difficult conversations, and an inability to tailor trainings to audience needs. Two proficiencies related to the comprehensive approach were having a victim advocate present during trainings, and providing training across leadership levels. The final proficiency involved data. Existing data sources were viewed as useful for identifying the nature and extent of local problems. However, participants reported a lack of confidence and skill in selecting appropriate outcome measures and collecting and using primary data. Gaps in leadership capacity were cultural norms, lack of trust, leader investment, logistical difficulty working with leaders, and comfort engaging with leaders. Gaps in collaborative relationships were the lack of informal networking within the SA prevention area to include civilians. Conclusions The GTO-specific knowledge and skills of SA prevention personnel at one U.S. Army installation revealed proficiencies and gaps in organizational capacities influencing the prevention mission. Findings indicate that GTO support could be useful for improving the quality of program activities. However, results also indicate that GTO support would be more effective if they were paired with sufficient prevention infrastructure at the organizational level.

The Association Between Food Insecurity and Intimate Partner Violence Among U.S. Army Soldiers.

Food insecurity in the military ranges between 25% and 33%, significantly higher than the 10.5% for civilians reported by the U.S. Department of Agriculture. The primary objective of this study is to analyze the association between food insecurity and intimate partner violence (IPV) victimization among U.S. Army Soldiers. The secondary objective is to determine if there are any moderating effects in the relationship between food insecurity and IPV victimization by demographic, financial, and mental health covariates. A cross-sectional, online survey was administered by the U.S. Army Public Health Center at an Army installation in 2019; 56% of respondents reported that they were married or in a relationship (n = 2,740). The main predictor was the two-item food insecurity screener (Hunger Vital Signs), which measures marginal food insecurity (encompassing marginal, low, and very low food security). The main outcome was IPV victimization as measured by the Hurt, Insult, Threaten, Scream scale. Multiple logistic regression was used to assess the association between marginal food insecurity and IPV victimization, controlling for demographic, financial, and mental health covariates. In a multivariable model, marginally food insecure respondents had 2.05-fold greater adjusted odds of reporting any IPV victimization when compared to highly food secure respondents (95% confidence interval [1.40, 3.00]). The only interaction that was statistically significant was between anxiety and food insecurity on IPV victimization (p = .0034). Interactions by soldier's military rank, birth sex, and race and ethnicity were not statistically significant. IPV has implications for the emotional and physical health of survivors. In addition, service members who are food insecure may experience similar decrements in emotional and physical health due to suboptimal nutrient intake. By addressing both food insecurity and IPV, the military has the potential to increase the overall well-being of its service members and their dependents.

Comparison of Tobacco Product Prices at Fort Liberty Army Installation and Surrounding Community Areas, 2021.

High rates of tobacco use persist in the U.S. military, with 18.4% of service members smoking cigarettes in 2018. The Department of Defense's (DoD) 2017 policy required that tobacco retailers on military installations set tobacco product prices equal to the most common community price, including tax, but there is limited evidence confirming whether local retailers are adhering to this policy. We examined tobacco product pricing in tobacco retailers on- and off-post at the largest U.S. Army installation, Fort Liberty, and Cumberland County, North Carolina. Between June and August 2021, we collected data on tobacco product availability, price, and promotions from retailers on Fort Liberty (n = 14) and a random sample of off-post retailers within 10 miles of installation gates (n = 52). We calculated the mode, mean, and median price of each product, plus the difference in these prices at on- and off-post retailers. We used Welch's t-test to test differences in mean prices between on- versus off-post retailers. The mode, mean, and median prices of cigarette packs and cartons were lower on-post than off-post (eg, $0.51-$0.55 cheaper for Marlboro cigarette packs on-post). However, the mode, mean, and median prices of smokeless tobacco products and little cigars were higher on-post than off-post (eg, $0.82-$0.89 more costly for Swisher Sweets 2-packs on-post). Results highlight the need for continued enforcement to ensure compliance with the 2017 DoD policy. Comprehensive policy action to reduce tobacco price disparities on- and off-post is critical to reducing high rates of tobacco use among service members. Despite the implementation of the 2017 DoD pricing policy, some tobacco products remain cheaper at tobacco retailers on-post compared to off-post retailers. Our results highlight the need for greater routine surveillance to increase implementation of the policy-particularly for cigarettes-to reduce high rates of tobacco use among service members.

Predictive modeling of dining facility waste by material type across time and geography

The increasing rate of global solid waste generation is startling. This is exacerbating the challenge of decreasing solid waste generation to reduce disposal in landfills. U.S. Army installations offer a unique qualitative and quantitative dataset across a span of geographical locations. Modeling prediction capability of dining facility (DFAC) solid waste streams using data from 11 Army installations was investigated to demonstrate aggregate building and material type generation forecasting. Solid waste generation data were collected, quantified, and categorized for diversion potential (e.g., source reduction, reuse, recycling, composting, etc.) of materials currently landfilled. Over one week, samples from one day of DFAC operations were collected for each installation. Materials from the samples were manually separated into 22 categories, weighed, and recorded. Results identified many solid waste stream materials with diversion potential. Five material types were down selected to construct and validate the linear regression model. The material types down selection was based on available data robustness and applicability beyond military contexts. A linear regression model was constructed for five material and building type combinations to avoid multiplication factor errors of coefficients for each independent variable. Results were statistically significant (p-value ≤ 0.05) for four of five modeling combination predictions. These results demonstrate the unique capability of predicting solid waste generation for the four statistically significant model combinations. Each of the four statistically significant model combinations differed in adjusted R2 values, ranging from 0.988 to 0.996. This study provides five linear regression model combinations with predictive power that could reduce the labor- and cost-intensive process of characterizing waste streams while increasing data availability across the continental U.S. to focus targeted source reduction efforts for dining settings.

Smart Installation Weather Warning Decision Support

Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the Fort Carson Air Force Staff Weather Officers (SWOs). Our algorithm classifies each weather event in the WWA list using the National Weather Service’s and National Digital Forecast Database’s data. Our algorithm assigns each event a criticality level: none, advisory, watch, or warning. The traffic network data highlight the importance of each road segment for travel to and from Fort Carson. The algorithm also uses traffic network data to assign weight to each grid, which enables the aggregation to the region and installation levels. We developed a weather dashboard in ArcGIS Pro to verify our algorithm and visualize the forecasted warnings for the grids and regions that are or may be affected by weather events.

Financial analysis of decentralized water reuse systems in mission critical facilities at U.S. Army installations

Decentralized water reuse is a financially viable fit-for-purpose approach for water sustainment in mission critical facilities.

Quantitative Analysis of Correlation between US Army Installation Characteristics and Water Price

Quantitative Analysis of Correlation between US Army Installation Characteristics and Water Price

Associations of health care staff burnout with negative health and organizational outcomes in the U.S. military health system

RationaleBurnout is a personal and occupational phenomenon that has been associated with negative physical and psychological outcomes in medical staff. Additionally, there are implications for healthcare organizations, as those staff who are burned out are more likely to have lower productivity or leave the organization. As with the Covid-19 pandemic, future national emergencies and potentially large-scale conflicts will require similar and likely even larger scale responses from the U.S. Military Health System, thus it is important to understand burnout in this population so that the readiness of the staff and the military can remain at a high level. ObjectiveThis assessment was designed to examine levels of burnout among United States Military Health System (MHS) staff working at Army installations and the factors that influence the development of burnout. MethodsAnonymous data was collected from 13,558 active-duty U.S. Soldiers and civilian MHS employees. Burnout was measured using the Copenhagen Burnout Inventory and the Mini-Z. ResultsResults showed nearly half of staff who responded (48%) reported being burned out, an increase since last measured in 2019 (31%). Factors related to increased burnout included concerns about work/life balance and workload, low job satisfaction and feeling disconnected from others. Burnout was associated with increases in adverse physical and behavioral health (BH) outcomes. ConclusionsResults indicate that burnout is a common problem across MHS Army staff and is related to significant adverse health consequences for the individual and reduced retention of staff for the organization. These findings highlight the need to address burnout through policies that standardize health care delivery policies and practices, providing support to leadership to promote a healthy workplace, and individual support to those who experience burnout.

Family Life Education for Military Families: An Exploratory Study of Family Program Use

Recognizing the stressors that military families may face, the military offers educational programs to support families, including deployment/reintegration programs and financial programs. However, little research examines these commonly offered programs. Grounded in the Contextual Model of Family Stress (CMFS), this study addresses this gap, conceptualizing program use as a resource that may be impacted by families’ external contexts (i.e., demographic and military contextual characteristics) and associated with various indicators of well-being. This study was a secondary data analysis of cross-sectional data from 266 military families at one Army installation. A logistic regression path model was used to examine if the likelihood of program use varied by demographic and military contextual characteristics (e.g., number of deployments, PCS moves), and independent samples t-tests were conducted to assess mean differences in elements of military families’ well-being (e.g., financial well-being, anxiety). Demographic and military contextual characteristics (e.g., number of deployments and PCS moves) were associated with program use. Families that used financial programs had SMs with lower financial well-being and civilian spouses with marginally higher anxiety. The results indicate that programs providing standardized yet personalized content may be helpful for families, as well as suggest important directions for future research.

Exposure to Bullying or Hazing During Deployment and Mental Health Outcomes Among US Army Soldiers

Workplace bullying is associated with mental disorders and suicidality in civilians, but few studies have examined associations of bullying with these outcomes among military personnel. To evaluate associations of being bullied or hazed during deployment with major depressive disorder (MDD), intermittent explosive disorder, posttraumatic stress disorder (PTSD), suicidal ideation, and substance use disorder (SUD). This cohort study used data from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) New Soldier Study (NSS; April 1, 2011, to November 30, 2012) and wave 1 of the STARRS Longitudinal Study (STARRS-LS1; September 1, 2016, to April 30, 2018). A computerized survey administered at 3 US Army installations (NSS) and a web/telephone survey (STARRS-LS1) were used to collect data. Data were analyzed from October 11, 2021, to October 28, 2022. The STARRS-LS1 recruited a probability sample of active-duty soldiers and veterans who had participated in Army STARRS baseline surveys while on active duty (weighted response rate, 35.6%). Respondents whose baseline was the NSS and who had deployed to a combat theater at least once were eligible for this study. Being bullied or hazed during a combat deployment. The primary outcomes were MDD, intermittent explosive disorder, PTSD, and suicidal ideation in the 12 months before STARRS-LS1 and SUD in the 30 days before STARRS-LS1, assessed with items from the Composite International Diagnostic Interview Screening Scales, PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and Columbia-Suicide Severity Rating Scale. Logistic regression was used to estimate associations of bullying or hazing exposure with the outcomes. The 1463 participants were predominantly male (weighted percentage [SE], 90.4% [0.9%]) and had a mean (SE) age of 21.1 (0.1) years at baseline. At STARRS-LS1, 188 respondents (weighted percentage [SE], 12.2% [1.1%]) reported bullying or hazing during deployment. Weighted outcome prevalences were 18.7% (1.3%) for MDD, 5.2% (0.9%) for intermittent explosive disorder, 21.8% (1.5%) for PTSD, 14.2% (1.2%) for suicidal ideation, and 8.7% (1.0%) for SUD. In models that adjusted for baseline sociodemographic and clinical characteristics and other potential traumas, exposure to bullying or hazing was significantly associated with MDD (adjusted odds ratio [aOR], 2.92; 95% CI, 1.74-4.88), intermittent explosive disorder (aOR, 2.59; 95% CI, 1.20-5.59), PTSD (aOR, 1.86; 95% CI, 1.23-2.83), suicidal ideation (aOR, 1.91; 95% CI, 1.17-3.13), and SUD (aOR, 2.06; 95% CI, 1.15-3.70). In this cohort study of combat-deployed soldiers, reports of being bullied or hazed during deployment were associated with mental disorders and suicidal thoughts. Recognition of these associations may inform efforts to prevent and address mental health problems among service members.

Mapping and dynamic monitoring of military training-induced vegetation cover loss using Sentinel-2 images and method comparison.

Sustainable management of the US Army installations is critical for military training and readiness of forces. However, monitoring military training-induced vegetation cover disturbances using remote sensing data is challenging due to the lack of methodology for optimizing the selection of spectral variables or predictors and spatial modeling methods. This study aimed to propose and demonstrate a methodological solution for this purpose. The study was conducted in the Fort Riley installation in which three training areas were selected to map and monitor the training-induced vegetation cover loss. Sentinel-2 images and field observations of percentage vegetation cover (PVC) were combined at a spatial resolution of 10m by 10m to map PVC and its dynamics by comparison of two predictor selection methods and five spatial modeling algorithms based on a total of 304 spectral variables from the images before and after the training. Results showed that overall, the correlation-based predictor selection method reduced the relative root mean square error (RRMSE) of PVC predictions by 4.44% than the random forest (RF)-based predictor selection. Machine learning methods including RF, neural network, and support vector machine overall reduced the RRMSE of PVC predictions by 42.83% compared with multiple linear regression and k-nearest neighbors. Combining correlation-based predictor selection and RF modeling, coupled with leave one out cross validation, provided the greatest potential of increasing the accuracy of monitoring the vegetation cover loss. The findings provided useful implications to develop a near real-time system of monitoring military training-induced vegetation cover loss.

Heat stress illness outcomes and annual indices of outdoor heat at U.S. Army installations.

This study characterized associations between annually scaled thermal indices and annual heat stress illness (HSI) morbidity outcomes, including heat stroke and heat exhaustion, among active-duty soldiers at ten Continental U.S. (CONUS) Army installations from 1991 to 2018. We fit negative binomial models for 3 types of HSI morbidity outcomes and annual indices for temperature, heat index, and wet-bulb globe temperature (WBGT), adjusting for installation-level effects and long-term trends in the negative binomial regression models using block-bootstrap resampling. Ambulatory (out-patient) and reportable event HSI outcomes displayed predominately positive association patterns with the assessed annual indices of heat, whereas hospitalization associations were mostly null. For example, a one-degree Fahrenheit (°F) (or 0.55°C) increase in mean temperature between May and September was associated with a 1.16 (95% confidence interval [CI]: 1.11, 1.29) times greater rate of ambulatory encounters. The annual-scaled rate ratios and their uncertainties may be applied to climate projections for a wide range of thermal indices to estimate future military and civilian HSI burdens and impacts to medical resources.

Latent classes of child neglect types and associated characteristics

BackgroundChildren who experience neglect typically endure multiple types of neglect and abuse during a single maltreatment incident. However, research on the phenomenology and predictors of neglect types has primarily examined neglect types in isolation. ObjectiveTo advance understanding of neglect incidents that more accurately reflect the experiences of children who have been neglected, we examined latent classes of neglect defined by co-occurring neglect types and multiple forms of abuse. To inform efforts to identify families at-risk for particular classes of neglect, associations between child, parent, and family characteristics and latent classes were examined. Participants and setting390 child neglect incidents substantiated at U.S. Army installations. MethodsNeglect types and incident severity were coded using the Modified Maltreatment Classification System. Child, parent, and family characteristics were coded using information drawn from case records. ResultsLatent class analysis yielded 5 classes: exposure to violence, failure to provide, supervisory lapses, substance-related endangerment, and non-specific. The exposure to violence and substance-related endangerment classes were characterized as highly severe. High and low severity classes were associated with distinct child, parent, and family characteristics. The latent classes were also differentiated by distal outcomes, including probability of law enforcement investigation, child removal from home, and offender removal from home. ConclusionsBy identifying the types of neglect and abuse that are likely to occur concomitantly as well as the child, parent, and family characteristics associated with increased risk of latent classes of neglect, results advance knowledge regarding the phenomenology of neglect types and inform prevention efforts.

Do Fairly-Decided Maltreatment Determinations Significantly Reduce Recidivism? A Quasi-Experimental Evaluation of a System-Level Intervention Implementation.

Two studies examined the impact of the implementation of the Field-tested Assessment, Intervention-planning, and Response (FAIR) system, a system-level intervention for determining whether allegations of family maltreatment meet threshold for abuse or neglect, on alleged recidivism. Data were collected at the 10 U.S. Army installations with the largest family maltreatment caseloads. Participants were family members who had an allegation of family maltreatment (i.e., child maltreatment or partner abuse) during one of the two study periods. Data were collected when Family Advocacy Program staff used the then-in-place system (Case Review Committee) and later the FAIR system. In Study 1, cases were followed for 6 months following the initial maltreatment allegation to measure the occurrence of subsequent allegations of any type. Additionally, at five installations, alleged victims of partner abuse were recruited into a study (Study 2) in which they anonymously reported on intimate partner violence via telephone. In Study 1, the advantage for the FAIR condition was concentrated in cases with unsubstantiated initial determinations; the mean relative risk reduction for recidivism was 0.48. In Study 2, FAIR extended median time to recidivism by approximately 170%. These results replicate and extend earlier findings that employing the FAIR system can result in decreased family maltreatment re-offense.

Assessing Community-Based Public Health Plans: An Example From US Army Injury Prevention.

The US Army requires community health coalitions to develop action plans for their top public health priorities. To date, the US Army has not implemented a standardized review process for community action plans. This project used the Plan Quality Index (PQI), an evidence-based, standardized tool, to evaluate injury prevention action plans created by injury prevention teams (IPTs). 17 Army installations. 17 IPT leads; 5 Health Promotion Program Officers. Implementation of the PQI to evaluate the strength of injury prevention action plans and make recommendations for quality improvement to drive reductions in injuries at 17 Army installations. PQI total scores for high- (≥50 points on the PQI) and low-ranking plans (<50 points on the PQI) were assessed for differences using t tests of the mean PQI score. Chi-square tests were employed to identify differences in meeting criteria between high- and low-scoring plans. PQI total scores ranged from 9 to 78 points out of 80. The weakest planning elements among all plans were lack of use of SMART objectives (18%), lack of identification of responsible parties (18%), absent evaluation plan (24%), and lack of timelines (35%). The mean score for the high-ranking plans (64.6 ± 9.5) was significantly higher than the mean score for the low-ranking plans (26.2 ± 12.7) ( P < .001). Mean scores for clarity, effectiveness, and quality were all significantly higher for the high-ranking plans than for the low-ranking plans ( P = .014, P = .002, and P < .001, respectively). The PQI tool provides a framework for objective, standardized, and evidence-based feedback and recommendations for improving community health plans. The project identified examples of high-quality action plans and provided actionable recommendations for plan improvement to facilitate sustainability of initiatives addressing injuries, which have long posed a threat to military health and readiness.

Association of Premilitary Mental Health With Suicide Attempts During US Army Service

Approximately one-third of US soldiers who attempt suicide have not received a mental health diagnosis (MH-Dx) before their suicide attempt (SA), yet little is known about risk factors for SA in those with no MH-Dx. To examine whether premilitary mental health is associated with medically documented SA among US Army soldiers who do not receive an MH-Dx before their SA. This cohort study used data from a representative survey of soldiers in the US Army entering basic combat training from April 1, 2011, to November 30, 2012, who were followed up via administrative records for the first 48 months of service. Analyses were conducted from April 5, 2021, to January 21, 2022. Regular Army enlisted soldiers (n = 21 772) recruited from 3 US Army installations during the first week of service who agreed to have their administrative records linked to their survey responses were included. Preenlistment lifetime history of mental disorder, suicide ideation, SA, and nonsuicidal self-injury (NSSI) as reported during the baseline survey. Service-acquired MH-Dx and sociodemographic and service-related variables were identified using administrative records. Documented SAs were identified using administrative medical records. Using a discrete-time survival framework, linear splines examined the pattern of SA risk over the first 48 months of service. Logistic regression analysis examined associations of lifetime baseline survey variables with subsequent, medically documented SA among soldiers who did vs did not receive an MH-Dx during service. Models were adjusted for time in service and sociodemographic and service-related variables. Of the 21 722 respondents (86.2% male, 20.4% Black, 61.8% White non-Hispanic), 253 made an SA in the first 48 months of service (male [75.4%]; Black [22.7%], White non-Hispanic [59.9%], or other race or ethnicity [17.4%]). Risk of SA peaked toward the end of the first year of service for both those who did and did not receive an MH-Dx during service. Of the 42.3% of individuals reporting at least 1 of the 4 baseline risk factors, 50.2% received an administrative MH-Dx during service vs 41.5% of those with none, and 1.6% had a documented SA vs 1.0% of those with none. Among individuals with no MH-Dx, medically documented SAs were associated with suicide ideation (odds ratio [OR], 2.2; 95% CI, 1.1-4.4), SA (OR, 11.3; 95% CI, 4.3-29.2), and NSSI (OR, 3.0; 95% CI, 1.3-6.8). For those who received an MH-Dx, medically documented SAs were associated with mental disorder (OR, 1.4; 95% CI, 1.0-1.9), SA (OR, 3.4; 95% CI, 2.1-5.6), and NSSI (OR, 1.8; 95% CI, 1.1-2.8). Interactions indicated the only explanatory variable that differed based on history of MH-Dx was preenlistment SA (χ21 = 4.7; P = .03), which had a larger OR among soldiers with no MH-Dx than among those with an MH-Dx. In this study, the period of greatest SA risk and baseline risk factors for SA were similar in soldiers with and without an MH-Dx. This finding suggests that knowledge of the time course and preenlistment mental health factors can equally aid in identifying SA risk in soldiers who do and do not receive an MH-Dx.

Veterans to workplace: Keys to successful transition

ABSTRACT The purpose of the current research effort was two-fold: (a) determine what behaviors successful veteran job candidates perform during the job application process that distinguish them from less successful ones, and (b) identify the behaviors of successfully employed veterans that distinguish them from those that are less successful or unable to maintain civilian employment. To address these issues, a research initiative was undertaken by the City of Clarksville, TN; Montgomery County, TN; the Tennessee Department of Labor; and the Tennessee Department of Veterans Services. Researchers conducted a qualitative study in the environs of Nashville, TN and Clarksville, TN, where Fort Campbell a United States Army installation, is located. Hiring managers, human resource directors, and veteran employees at 10 private sector companies and 10 public sector organizations in the region participated in focus groups. In addition, spouses of transitioning veterans participated in focus groups. The results of this investigation involving over 300 people are described. Implications for practice are discussed and future directions for research have been presented.

Developing water resiliency solutions at military installations

Climate change, along with rising human water demands, has been projected to raise the vulnerability of available water resources and poses further risks to global water security. A challenge of this century will be to secure enough fresh water for the world’s increasing population. U.S. Army installations provide critical support to Army’s mission. Army facilities face many risks which must be overcome to ensure that vital missions continue. Installation Energy and Water Plans (IEWPs) comprise one pivotal effort to ensure that facilities maintain access to the resources they need and can meet resilient solutions to maintain water supplies to sustain the people and environment. An essential component of the IEWP is the development of potential solutions, or courses of action (COAs) to address deficiencies that can improve an installation’s baseline condition, ensuring energy and water (E&W) security and resiliency. The undertaking seeks to improve security and resiliency by considering the varied threats of disruption within installations and providing measures for adaptable recovery. These disruptions include environmental events, droughts and climatic events, spills, and water security threats. Increasing energy and water resiliency aims to maintain that Army’s mission is successfully carried even if sources of water are cut off or compromised. The objective of this paper is to document water resiliency improvements in military installations by applying priority facilities demand estimation planning tools and reviewing courses of action and also providing lessons learned and tools that could be utilized for planned communities or city-based water management efforts. The IEWP process empowers stakeholders to improve military readiness through state-of-the-art solutions for enhanced security, resiliency, and mission assurance. These methods and use of standardized data sets could be pursued to be applied towards a broader scope of stakeholders to improve water resiliency for cities, communities, and industries outside of the military.