Is suicide a social phenomenon during the COVID-19 pandemic? Differences by birth cohort on suicide among active component Army soldiers, 1 January 2000-4 June 2021.

This study explored rates of death by suicide by birth cohort including Baby Boomers (1946-1964), Generation X (1965-1980), Millennials (1981-1996), and Generation Z (1997-2012), among active component U.S. Army soldiers during 1 January 2000-4 June 2021. From 1 January 2008 through 4 June 2021, the most likely cluster of suicides, although not statistically significant, was identified between March 2020 and June 2021, which coincided with the coronavirus disease 2019 (COVID-19) pandemic. Since the onset of the COVID-19 pandemic, the Army has observed 55%-82% increases in suicide rates among Millennials, Generation Z, and Generation X compared to 1 year before the pandemic. The largest proportional increase in rates affected the members of Generation X, but the highest rates both before and after the onset of the pandemic affected those in Generation Z. Discussion of the findings introduces theories that have been used to explain psychological states that may predispose to suicidal behavior and posits ways in which Army leaders and organizations may be able to reduce suicide risk among soldiers. The limitations of the study and possible additional inquiries are described.

Pornography Use and Intimate Partner Violence Among a Sample of U.S. Army Soldiers in 2018: A Cross-Sectional Study.

The objective of the present study was to determine whether there is an association between pornography use and reported intimate partner violence (IPV) perpetration among a sample of soldiers in the US Army. The study was a secondary analysis of cross-sectional data collected from soldiers at a military installation in 2018 (n = 9,052). IPV was defined as any self-reported perpetration of physical, sexual, or psychological abuse of an intimate partner. Multivariable negative binomial regressions were used to assess the association between pornography use and any lifetime perpetration of IPV, controlling for gender, age group, race/ethnicity, relationship status, educational status, military rank, hazardous drinking, depression, stimulant use, depressant use, and post-traumatic stress disorder. Of the population analyzed, 41% of soldiers reported any pornography use per week, and 9.6% reported perpetrating any form of IPV. Soldiers who reported pornography use had between a 1.72- and 3.56-fold greater likelihood of reporting any lifetime perpetration of IPV, controlling for covariates. Given the prevalence and detrimental effects of IPV, longitudinal studies should be designed to further understand predictors of IPV in military populations.

Financial costs to the U.S. Army for suicides by newly enlisted Soldiers.

OBJECTIVE: To estimate the financial burden to the U.S. Army of suicide by enlisted Soldiers during their first year of service. METHODS: This analysis included new Army enlisted Soldiers who started initial entry training from October 2012 through September 2016 and subsequently died by suicide within their first year of service. Outpatient and inpatient direct medical, direct nonmedical, recruiting, and training costs to the Army were calculated. RESULTS: During the 48-month observational study period, 29 Soldiers died by suicide within their respective first year of service. The described financial costs accrued by the Army as a result of these deaths were $152,271-with an average of $6,091 per healthcare utilizer. Recruiting and training costs were $1,115,860 for all suicide cases. CONCLUSION: Average direct cost per healthcare utilizer increased during a Soldier's first year of service. This may be associated with the transition through different phases of training and to the first operational duty station. PUBLIC HEALTH IMPLICATIONS: Results obtained through this cost-of-illness analysis may serve as baseline metrics to inform future cost-effectiveness studies.

A Cross-Sectional Examination of the Association Between Social Media Use and Sleep Among a Sample of U.S. Army Soldiers.

INTRODUCTION: In the United States (U.S.), approximately 35% of adults sleep less than 7 hours per night. The relationship between social media use and insufficient sleep has not thoroughly been examined among adults. The purpose of this study was to determine if social media use is associated with insufficient sleep among a sample of U.S. Army Soldiers. METHODS: This study surveyed 9,052 U.S. Soldiers in 2018 via a self-administered online questionnaire. Using multivariable logistic regression, we examined the association between social media use (<38 hours vs. ≥38 hours per week) and insufficient sleep, controlling for demographic and behavioral covariates. RESULTS: Overall, 54.9% of Soldiers reported insufficient sleep. There was no significant relationship between excessive social media use and insufficient sleep in the multivariable logistic regression (OR: 1.03; CI: 0.87-1.23). The covariates of sex, race/ethnicity, rank, hazardous alcohol consumption, anxiety, and depression were significantly associated with insufficient sleep. Soldiers who reported symptoms of anxiety were more than twice as likely (OR: 2.11; CI: 1.65-2.70) to report insufficient sleep than Soldiers without signs of anxiety. Additionally, Soldiers who reported depressive symptoms were 85% (OR: 1.85; CI: 1.44-2.37) more likely to experience insufficient sleep than Soldiers without signs of depression. CONCLUSION: Sufficient sleep is essential to ensuring mission readiness and preventing accidental morbidity and mortality among Soldiers. The findings of this analysis do not suggest a link between extended social media use and insufficient sleep. However, though previously uninvestigated, Soldiers reporting symptoms of anxiety and depression were more likely to experience insufficient sleep compared to unafflicted Soldiers. Therefore developing a culture that encourages Soldiers to seek necessary behavioral health screening and care could be a key primary strategy to promote adequate sleep.

Adjusting Suicide Rates in a Military Population: Methods to Determine the Appropriate Standard Population.

The choice of the standard population is important when calculating adjusted rates for a military population: results can influence policies and funding allocations for programs and initiatives for suicide prevention. We describe the methodological considerations and decision-making process used in choosing a standard population for adjusting rates to compare suicide among US Army soldiers and the general US population. We examined 5 different standard populations, using the direct method to adjust annual suicide rates for the Army and the US population, 2004 to 2015, for age and for age and sex. The pattern of the Army and US population age- and sex-adjusted rates remained consistent with crude rates when adjusted to any of the Army standard population distributions. Using an Army distribution as the standard population produces suicide rates consistent with routine messaging about suicide trends among Army soldiers.

Mortality surveillance in the U.S. Army, 2005-2011.

PURPOSE: Mortality rates in the U.S. Army from 2005 to 2011 were examined over time and compared to the U.S. general population. METHOD: Cases were U.S. Army Soldiers (active duty or activated National Guard/Reserve) with dates of death between 2005 and 2011 and between 18 and 64 years of age in the Department of Defense Medical Mortality Registry. Age- and sex-adjusted annual mortality rates (AR) were calculated for each category of death and examined via linear regression. Proportions of underlying causes of death were also examined. RESULTS: The trend in AR in the U.S. Army significantly decreased for combat deaths, the average annual percent change (AAPC) = 15.2% decrease in the log of the rate (LAR); p = 0.04 and accident deaths, AAPC = 5.4% decrease in the LAR; p = 0.002 and significantly increased for suicides, AAPC = 10.6% increase in the LAR; p = 0.001. The trend in AR for suicides for the Army was significantly different compared to the U.S. general population, AAPC = 11.0% increase in the LAR; p < 0.001. CONCLUSIONS: Trends in rates of combat deaths and accident deaths declined although rates of suicides increased. The Army suicide rate increased in comparison to the United States. 70% of accident deaths were transportation related. Almost 70% of suicides and homicides were firearm related.

Opiate-related dependence/abuse and PTSD exposure among the active-component U.S. military, 2001 to 2008.

BACKGROUND: Over the past 5 years, diagnoses for opiate abuse or dependency and post-traumatic stress disorder (PTSD) have increased across all U.S. military services. Moreover, in the United States, opiate prescription dependence and abuse has now surpassed all other illicit drugs of abuse with the exception of marijuana. Some research indicates that PTSD is predictive of substance dependence and abuse, while other research suggests that substance dependence and abuse may lead to events that trigger PTSD. This dichotomy has not been extensively explored within a military population. METHODS: Using conditional multiple logistic regression analysis, a matched case-control study with 18,606 active-component U.S. military service members was conducted to examine the relationship between opiate dependence or abuse and PTSD. RESULTS: Among the 18,606 service members included in the analysis, 21% were cases and 79% were controls. Thirteen percent of service members with substance dependence or abuse diagnosis had a prior PTSD diagnosis compared to 1% of controls. After, adjusting for sociodemographic and military characteristics, the odds of having a prior diagnosis of PTSD was 28 (95% CI: 21.24-37.78) times greater for service members with opiate abuse/dependency compared to controls. CONCLUSION: These findings suggest active duty military personnel diagnosed with PTSD should be closely monitored to reduce the likelihood of future morbidity because of opiate dependence or abuse.

Performance excellence: using Lean Six Sigma tools to improve the US Army behavioral health surveillance process, boost team morale, and maximize value to customers and stakeholders.

Lean Six Sigma (LSS) is a process improvement, problem-solving methodology used in business and manufacturing to improve the speed, quality, and cost of products. LSS can also be used to improve knowledge-based products integral to public health surveillance. An LSS project by the Behavioral Social Health Outcomes Program of the Army Institute of Public Health reduced the number of labor hours spent producing the routine surveillance of suicidal behavior publication. At baseline, the total number of labor hours was 448; after project completion, total labor hours were 199. Based on customer feedback, publication production was reduced from quarterly to annually. Process improvements enhanced group morale and established best practices in the form of standard operating procedures and business rules to ensure solutions are sustained. LSS project participation also fostered a change in the conceptualization of tasks and projects. These results demonstrate that LSS can be used to inform the public health process and should be considered a viable method of improving knowledge-based products and processes.