Tobacco and nicotine use among active component U.S. military service members: a comparison of 2018 estimates from the Health Related Behaviors Survey and the Periodic Health Assessment.

This study compared estimates of the prevalence of and risk factors for tobacco and nicotine use obtained from the 2018 Health Related Behaviors Survey (HRBS) and Periodic Health Assessment (PHA) survey. The HRBS and the PHA are important Department of Defense sources of data on health behavior collected from U.S. military service members. While their collection methods differ, some survey questions are similar, which provides an opportunity to compare survey estimates. Active duty service members consistently reported a much lower prevalence of all types of tobacco and nicotine use on the PHA compared to the HRBS: cigarettes (11.1% vs. 18.4%), e-cigarettes (7.3% vs. 16.2%), chewing tobacco (9.7% vs. 13.4%), any tobacco or nicotine use (25.3% vs. 37.8%), and use of 2 or more tobacco or nicotine products (5.8% vs. 17.4%). Associations between tobacco and nicotine use as well as demographic and other behavioral variables were fairly similar, including age, sex, education, race and ethnicity, rank, and alcohol use. The associations with service branch, body mass index, and sleep were inconsistent. This results of this study suggest that the PHA can provide timely information on trends in military tobacco and nicotine use over time, but much higher estimates from the confidential, voluntary HRBS reported in this study suggest that the command-directed PHA may substantially underestimate the prevalence of all types of tobacco and nicotine use.

Serologic Response to the Epstein-Barr Virus Peptidome and the Risk for Multiple Sclerosis.

Importance: It remains unclear why only a small proportion of individuals infected with the Epstein-Barr virus (EBV) develop multiple sclerosis (MS) and what the underlying mechanisms are. Objective: To assess the serologic response to all EBV peptides before the first symptoms of MS occur, determine whether the disease is associated with a distinct immune response to EBV, and evaluate whether specific EBV epitopes drive this response. Design, Setting, and Participants: In this prospective, nested case-control study, individuals were selected among US military personnel with serum samples stored in the US Department of Defense Serum Repository. Individuals with MS had serum collected at a median 1 year before onset (reported to the military in 2000-2011) and were matched to controls for age, sex, race and ethnicity, blood collection, and military branch. No individuals were excluded. The data were analyzed between September 1, 2022, and August 31, 2023. Exposure: Antibodies (enrichment z scores) to the human virome measured using VirScan (phage-displayed immunoprecipitation and sequencing). Main Outcome and Measure: Rate ratios (RRs) for MS for antibodies to 2263 EBV peptides (the EBV peptidome) were estimated using conditional logistic regression, adjusting for total anti-EBV nuclear antigen 1 (EBNA-1) antibodies, which have consistently been associated with a higher MS risk. The role of antibodies against other viral peptides was also explored. Results: A total of 30 individuals with MS were matched with 30 controls. Mean (SD) age at sample collection was 27.8 (6.5) years; 46 of 60 participants (76.7%) were male. The antibody response to the EBV peptidome was stronger in individuals with MS, but without a discernible pattern. The antibody responses to 66 EBV peptides, the majority mapping to EBNA antigens, were significantly higher in preonset sera from individuals with MS (RR of highest vs lowest tertile of antibody enrichment, 33.4; 95% CI, 2.5-448.4; P for trend = .008). Higher total anti-EBNA-1 antibodies were also associated with an elevated MS risk (top vs bottom tertile: RR, 27.6; 95% CI, 2.3-327.6; P for trend = .008). After adjusting for total anti-EBNA-1 antibodies, risk estimates from most EBV peptides analyses were attenuated, with 4 remaining significantly associated with MS, the strongest within EBNA-6/EBNA-3C, while the association between total anti-EBNA-1 antibodies and MS persisted. Conclusion and Relevance: These findings suggest that antibody response to EBNA-1 may be the strongest serologic risk factor for MS. No single EBV peptide stood out as being selectively targeted in individuals with MS but not controls. Larger investigations are needed to explore possible heterogeneity of anti-EBV humoral immunity in MS.

Smoking and multiple sclerosis risk in black people: A nested case-control study.

BACKGROUND: Smoking is a well-established risk factor for MS; however, it is not known whether its effect on disease risk varies by race/ethnicity. METHODS: We conducted a nested case-control study among US military personnel who have serum samples stored at the Department of Defense Serum Repository. We measured serum cotinine levels, a marker of tobacco smoke exposure, in 157 Black and 23 White individuals who developed MS during follow-up. Controls were randomly selected and matched to each case by age, sex, race/ethnicity, dates of sample collection, and branch of military service. RESULTS: Smoking was not associated with an increased risk of MS in Black people (RR: 1.08, 95 % CI: 0.63-1.85). The results remained similar in analyses restricted to smoking status at baseline, to samples collected 5 years before symptom onset, and using different cut-off levels in cotinine to define smoking status. Smoking was not statistically significantly associated with MS risk in White people, but the point estimate was similar to what has previously been reported in other studies (RR: 1.85, 95 % CI: 0.56-6.16). CONCLUSIONS: Smoking was not associated with MS risk in Black people. Given the consistent association between smoking and MS risk in predominantly White populations, this may suggest that the association between smoking and MS varies by race/ethnicity.

Suicidal Behaviors Among Active-Duty US Service Members: Data from the 2018 Health-Related Behaviors Survey.

Background: This study aimed to 1) determine the prevalence of past-year suicidal ideation (SI) and attempts (SA) among active-duty SMs; 2) determine whether differences exist by age, sex, and race; and 3) assess whether prevalence estimates vary by risk profiles of mental health conditions and substance use. Methods: Data were from the 2018 Health-Related Behavior Survey (HRBS), a cross-sectional survey of active-duty SMs (n = 17,166). We used the logistic model to identify the factors of SI and SA and latent class analysis (LCA) to identify the risk profiles. Results: Among active duty SMs, 8.26% had SI and 1.25% had SA in the past year. Gender and age have been shown to influence how race might contribute to suicidal behaviors. Mental health conditions were associated with higher odds of SI and SA, as were younger ages; LGB identity; being separated, divorced, or widowed; use of e-cigarettes, dual use of e-cigarettes and cigarettes, or drugs; and history of deployment of less than 12 months. Frequencies of cigarette and e-cigarette use were also associated with SI and SA, indicating the odds were increasing by 0.3% for every additional cigarette or e-cigarette used. Five risk profiles were identified: class 1 (illegal drug use), class 2 (mental health needs with tobacco and alcohol use), class 3 (mental health conditions only), class 4 ("low risk" SMs with low levels of illegal drug use, mental health visits, tobacco use, and alcohol use), and class 5 (alcohol use). Compared to class 4 ("low risk"), all other risk profiles were associated with increased odds of suicidal behaviors. Conclusion: Despite the resources and increased access provided for mental health support, the prevalence of SI among active-duty SMs is greater than in the general population of the same age, likely due to additional military exposures and stressors.

Spatial and Spatio-Temporal Distribution of Human Respiratory Syncytial Virus, Human Parainfluenza Virus, and Human Adenoviruses Cases in Kenya 2007-2013.

Background: Human Respiratory Syncytial Virus (HRSV), Human Parainfluenza Virus (HPIV), and Human Adenovirus (HAdV) epidemics differ in geographical location, time, and virus type. Regions prone to infections can be identified using geographic information systems (GIS) and available methods for detecting spatial and time clusters. We sought to find statistically significant spatial and time clusters of HRSV, HPIV, and HAdV cases in different parts of Kenya. Methods: To analyse retrospective data, we used a geographical information system (GIS) and the spatial scan statistic. The information was gathered from surveillance sites and aggregated at the county level in order to identify purely spatial and Spatio-temporal clusters. To detect the presence of spatial autocorrelation, the local Moran's I test was used. To detect the spatial clusters of HRSV, HPIV, and HAdV cases, we performed the purely spatial scan statistic. Furthermore, space-time clusters were identified using space-time scan statistics. Both spatial and space-time analyses were based on the discrete Poisson model with a pre-specified statistical significance levelof p<0.05. Results: The findings showed that HRSV, HPIV, and HAdV cases had significant autocorrelation within the study areas. Furthermore, in the Western region of the country, the three respiratory viruses had local clusters with significant positive autocorrelation (p<0.05). Statistically, the Western region had significant spatial clusters of HRSV, HPIV, and HAdV occurrence. Furthermore, the space-time analysis revealed that the HPIV primary cluster persisted in the Western region from 2007 to 2013. However, primary clusters of HRSV and HAdV were observed in the Coastal region in 2009-11 and 2008-09, respectively. Conclusion: Human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), and human adenovirus (HAdV) hotspots (clusters) occurred in Kenya's Western and Coastal regions from 2007 to 2013. The Western region appeared to be more prone to the occurrence of allthree respiratory viruses throughout the study period. Strategic mitigation should focus on these locations to prevent future clusters of HRSV, HPIV, and HAdV infections that could lead to epidemics.

Cigarette smoking patterns among U.S. military service members before and after separation from the military.

U.S. military Service members have consistently smoked more than the general population and the prevalence of smoking is even higher among U.S. veterans. Our study examined cigarette smoking patterns among Service members before and after military separation to better understand the disproportionate rate of smoking among veterans. Data from the Millennium Cohort Study were used. All study participants were in the military at baseline and some transitioned from the military to civilian life during the observation period. We investigated any impact of military separation on smoking, as well as other potential risk factors for smoking. Overall, we observed higher smoking prevalence among veterans than Service members. Additionally, we found that Service members smoked more while approaching their separation from the military. Longitudinal analysis revealed military separation was not a risk factor for smoking, as we had hypothesized. Baseline smoking was the most influential predictor of current smoking status. Other significant factors included alcohol consumption, life stressors, and mental health conditions, among others. Military separation was not a risk factor for smoking. However, Service members in the process of transitioning out of the military, as well as high alcohol consumers and Service members with mental health conditions, may be at higher risk of smoking. Including smoking prevention/cessation programs in pre-separation counseling sessions and developing smoking screening and cessation programs targeting specific high-risk subgroups may reduce smoking among Service members and veterans.

E-cigarette and dual product use as an emerging health threat to the US military.

INTRODUCTION: Cigarette and e-cigarette use are threats to the health and readiness of the US military. The study objective was to determine the prevalence and factors associated with e-cigarette, cigarette, and dual use among active duty service members (SMs). METHODS: We used data from the 2015 Health Related Behaviors Survey-a crosssectional survey weighted to represent the US military (n=16699). Weighted prevalence and odds ratios assessed associations between risk factors and e-cigarette/cigarette use via weighted multinomial logistic models. RESULTS: The prevalence of cigarette use in the US military declined from 24% in 2011 to 13.8% in 2015. However, e-cigarette use (12.4%) and dual product use (4.7%) increased during this period. Additionally, prevalence of e-cigarette use was higher in the military compared to the general population (12.4% vs 3.5%), particularly among those aged 17-24 years (22.8% vs 5.2%); cigarette use was also higher in the military in this age group (19.3% vs 13.0%). After adjustment, SMs who were enlisted, lacked a Bachelor's degree, and/or had probable alcohol use disorder had significantly greater odds of cigarette, e-cigarette, and dual use. While SMs aged 17-24 years had the highest prevalence of all types of product use, only being aged ≥45 years was significantly associated with decreased odds of product use in adjusted models. CONCLUSIONS: Military efforts to control cigarette use among SMs seem to have been successful, as demonstrated by the dramatic declines in its use and the lower prevalence seen in the military compared to the general population. However, the concurrent increases in e-cigarette use are concerning, particularly among the youngest members of the military. The US military must continue to monitor emerging trends in e-cigarette, cigarette, and dual use and rapidly take steps to address them as threats to health and readiness.

Prevalence of human respiratory syncytial virus, parainfluenza and adenoviruses in East Africa Community partner states of Kenya, Tanzania, and Uganda: A systematic review and meta-analysis (2007-2020).

BACKGROUND: Viruses are responsible for a large proportion of acute respiratory tract infections (ARTIs). Human influenza, parainfluenza, respiratory-syncytial-virus, and adenoviruses are among the leading cause of ARTIs. Epidemiological evidence of those respiratory viruses is limited in the East Africa Community (EAC) region. This review sought to identify the prevalence of respiratory syncytial virus, parainfluenza, and adenoviruses among cases of ARTI in the EAC from 2007 to 2020. METHODS: A literature search was conducted in Medline, Global Index Medicus, and the grey literature from public health institutions and programs in the EAC. Two independent reviewers performed data extraction. We used a random effects model to pool the prevalence estimate across studies. We assessed heterogeneity with the I2 statistic, and Cochran's Q test, and further we did subgroup analysis. This review was registered with PROSPERO under registration number CRD42018110186. RESULTS: A total of 12 studies met the eligibility criteria for the studies documented from 2007 to 2020. The overall pooled prevalence of adenoviruses was 13% (95% confidence interval [CI]: 6-21, N = 28829), respiratory syncytial virus 11% (95% CI: 7-15, N = 22627), and parainfluenza was 9% (95% CI: 7-11, N = 28363). Pooled prevalence of reported ARTIs, all ages, and locality varied in the included studies. Studies among participants with severe acute respiratory disease had a higher pooled prevalence of all the three viruses. Considerable heterogeneity was noted overall and in subgroup analysis. CONCLUSION: Our findings indicate that human adenoviruses, respiratory syncytial virus and parainfluenza virus are prevalent in Kenya, Tanzania, and Uganda. These three respiratory viruses contribute substantially to ARTIs in the EAC, particularly among those with severe disease and those aged five and above.

Morbidity burden, seasonality and factors associated with the human respiratory syncytial virus, human parainfluenza virus, and human adenovirus infections in Kenya.

Background: Human respiratory syncytial viruses (HRSV), human parainfluenza viruses (HPIV), and human adenoviruses (HAdVs) cause a substantial morbidity burden globally. Objective: We sought to estimate morbidity burden, assess seasonality, and determine factors associated with these respiratory viruses in Kenya. Methods: The data were obtained from Kenyan sites included in the Köppen-Geiger climate classification system. We defined the proportion of morbidity burden by descriptive analysis and visualized time-series data for January 2007-December 2013. Logistic regression was used to identify factors associated with infection outcomes. Results: The morbidity burden for HRSV was 3.1%, HPIV 5.3% and HAdVs 3.3%. Infants were more likely to be infected than other age groups. HRSV exhibited seasonality with high occurrence in January-March (odds ratio[OR] = 2.73) and April-June (OR = 3.01). Hot land surface temperature (≥40 °C) was associated with HRSV infections (OR = 2.75), as was warmer air temperature (19-22.9 °C) (OR = 1.68), compared with land surface temperature (<30) and cooler air temperature (<19 °C) respectively. Moderate rainfall (150-200 mm) areas had greater odds of HRSV infection (OR = 1.32) than low rainfall (<150 mm). Conclusion: HRSV, HPIV and HAdVs contributed to morbidity burden, and infants were significantly affected. HRSV had a clear seasonal pattern and were associated with climate parameters, unlike HPIV and HAdVs.

Tuberculosis Screening and Control in the US Military in War and Peace.

Tuberculosis (TB) has a well-established association with military populations, but the association of increased TB risk during armed conflict is less certain. This historical review focuses on the evolution of screening practices, the changing epidemiology of TB, and the risk of TB among US military service members during armed conflict from 1885 to the present. Overall, deployed soldiers were not at increased risk for TB compared with nondeployed soldiers in any of these conflicts, and the risk of TB in the US military largely reflected that of the underlying US population. Nevertheless, there are focal risk groups with higher rates of TB in the military, including prisoners of war. Although the principles of TB control in the military conform to those used in the civilian population, unique military exposures during both times of peace and of armed conflict require additional screening, surveillance, and control measures.

Tuberculosis as a force health protection threat to the United States military.

Tuberculosis (TB) is a communicable disease that poses a threat to force health protection to the U.S. military. The rate of TB disease in the military is low; however, there are unique challenges for its control in this setting. As a low-risk population, TB testing in the U.S. military can be scaled back from the universal testing approach used previously. Reactivation of latent TB infection (LTBI) present at accession into service is the most important factor leading to TB disease; therefore, its diagnosis and treatment among recruits should be given a high priority. Deployment and overseas military service is an uncommon but important source of TB infection, and rigorous surveillance should be ensured. Case management of TB disease and LTBI can be improved by the use of cohort reviews at the service and installation levels and case finding and delays in the diagnosis of TB disease can be improved by education of providers, as well as increased use of molecular diagnostic tests. Program outcomes can be improved by making LTBI treatment compulsory, offering shorter treatment regimens, and increasing accountability through oversight and evaluation. The diagnosis of LTBI can be improved by implementing targeted testing in all settings and reducing confirmatory interferon-gamma release assay testing.

Deployment-related testing and treatment for latent tuberculosis infection, part II.

Current Topics in Military Tropical Medicine is a Continuing Medical Education series, which updates military medical personnel on questions related to clinical practice while deployed. This issue is Part II of a two-part series on the approach to decision to test, testing and management of latent tuberculosis infection. A representative case is explored in both parts to highlight how to approach service members and their units with regard to latent tuberculosis infection screening and intervention.

Systematic review and meta-analysis of TST conversion risk in deployed military and long-term civilian travelers.

BACKGROUND: Transmission of tuberculosis (TB) during travel is a significant potential infectious disease threat to travelers. However, there is uncertainty in the travel medicine community regarding the evidence base for both estimates of risk for latent TB infection (LTBI) in long-term travelers and for information regarding which travelers may benefit from pre- or post-travel TB screening. The purpose of this study was to determine the risk for tuberculin skin test (TST) conversion, used as a surrogate for LTBI, in long-term travelers from low- to high-risk countries. METHODS: We performed a systematic review to acquire all published and unpublished data on TST conversion in long-term civilian and military travelers from 1990 to June 2008. Point estimates and confidence intervals (CIs) of the incidence of TST conversion were combined in a random effects model and assessed for heterogeneity. RESULTS: The cumulative risk with CI for LTBI as measured by TST conversion was 2.0% (99% CI: 1.6%-2.4%). There was a marked heterogeneity (chi(2) heterogeneity statistic, p < 0.0001) which could not be explained by evaluable study characteristics. When stratifying by military and civilian studies, the cumulative risk estimate was 2.0% (99% CI: 1.6-2.4) for military and 2.3% (99% CI: 2.1-2.5) for civilian studies. CONCLUSION: The overall cumulative incidence of 2.0% is what could be expected to occur among the local population in many developing-country settings, though TST conversion likely overestimates the risk of TB infection because of the low positive predictive value (PPV) of the TST in low-prevalence populations such as travelers. To maximize the PPV of a screening test for LTBI, a targeted testing strategy for long-term military and civilian travelers is recommended, based on exposures known to increase the risk of TB. Studies to better define higher risk groups, activities, and locations are needed.

Postdeployment evaluation of health risk communication after exposure to a toxic industrial chemical.

Increasing emphasis is being placed on the appropriate communication of deployment-related risks among military service members. This report validates risk communication on the postdeployment health assessment (PDHA), in the context of a known, low-level exposure to a toxic industrial chemical. In late 2003, 245 soldiers were exposed to hexavalent chromium at an industrial site in Iraq; of those, 227 had completed PDHAs on file for review. Despite being directed to document this exposure upon redeployment, only 55 soldiers (24.2%) specifically reported chromium exposure. Increasing age and time at the industrial site were associated with increased reporting of exposure. Although providers documented deployment exposure concerns for only 65.4% of this population, this was much more often than for other redeploying service members. The PDHA is a risk assessment and risk communication tool that has sources of misclassification, and results must be interpreted with caution when individual or population occupational and environmental risks resulting from deployment are assessed.