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OBJECTIVES: We evaluated changing patterns of tobacco use following a period of forced tobacco abstinence in a US military cohort to determine rates of harm elimination (e.g., tobacco cessation), harm reduction (e.g., from smoking to smokeless tobacco use), and harm escalation (e.g., from smoking to dual use or from smokeless tobacco use to smoking or dual use). METHODS: Participants were 5225 Air Force airmen assigned to the health education control condition in a smoking cessation and prevention trial. Tobacco use was assessed by self-report at baseline and 12 months. RESULTS: Among 114 baseline smokers initiating smokeless tobacco use after basic military training, most demonstrated harm escalation (87%), which was 5.4 times more likely to occur than was harm reduction (e.g., smoking to smokeless tobacco use). Harm reduction was predicted, in part, by higher family income and belief that switching from cigarettes to smokeless tobacco is beneficial to health. Harm escalation predictors included younger age, alcohol use, longer smoking history, and risk-taking. CONCLUSIONS: When considering a harm reduction strategy with smokeless tobacco, the tobacco control community should balance anticipated benefits of harm reduction with the risk of harm escalation and the potential for adversely affecting public health. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To determine if premature discharge from the US Air Force was associated with the smoking status of recruits. DESIGN AND SETTING: A total of 29 044 US Air Force personnel recruited from August 1995 to August 1996 were administered baseline behavioural risk assessment surveys during basic military training. They were tracked over a 12 month period to determine those who were prematurely discharged. MAIN OUTCOME MEASURES: Excess training costs as a result of premature discharge. RESULTS: In this 12 month period, 14.0% of those entering the US Air Force were discharged at a one year follow up. In both univariate and multivariate models, the best single predictor of early discharge was smoking status. Overall, 11.8% of non-smokers versus 19.4% of smokers were prematurely discharged (relative risk 1.795). CONCLUSIONS: Using US Department of Defense data on the cost of military training, recruits who smoke in the US Air Force are associated with $18 million per year in excess training costs. Applied to all service branches, smoking status, which represents a constellation of underlying behaviours and attitudes that can contribute to early discharge, is associated with over $130 million per year in excess training costs. [ABSTRACT FROM AUTHOR]

Objectives: Approximately 70% of the military personnel experience chronic sleep insufficiency, which negatively impacts military readiness and health. Military sleep health does not appear to be improving despite targeted programs to optimize sleep. The present quasi-experimental study aims to evaluate a single-session sleep intervention in United States Air Force (USAF) Technical Training., Method: A group-based Brief Sleep Intervention (BSI) was developed for the target population. Participants included 321 technical school students (Mean age = 21; 82% male; 67% White) who were assigned to the BSI ( n  = 203) or a control group ( n  = 118). Propensity-score-weighted multivariable logistic regression was employed to compare outcomes., Results: At the 2-week follow-up, students in the BSI were significantly more likely to report sleeping 6 or more hours on weekdays (OR = 1.49, p  < .001) and "Good/Very Good" sleep quality (OR = 1.50, p  = .032) than those in the control group. In addition, 69.2% of the students in BSI reported having engaged in the self-selected "Action Step" chosen during the intervention., Conclusions: To our knowledge, this is the first study to test a preventative sleep intervention in USAF Technical Training. Results suggest that a single-session group intervention can promote behavioral changes and improve sleep health.

Background: Alcohol misuse is the fourth leading cause of death in the United States and a significant problem in the US military. Brief alcohol interventions can reduce negative alcohol outcomes in civilian and military populations, but additional scalable interventions are needed to reduce binge and heavy drinking. SMS text messaging interventions could address this need, but to date, no programs exist for military populations., Objective: We aimed to develop an SMS text messaging intervention to address binge and heavy drinking among Airmen in Technical Training in the US Air Force., Methods: We implemented a 2-phase, mixed methods study to develop the SMS text messaging intervention. In phase 1, a total of 149 respondents provided feedback about the persuasiveness of 49 expert-developed messages, preferences regarding message frequency, timing and days to receive messages, and suggested messages, which were qualitatively coded. In phase 2, a total of 283 respondents provided feedback about the persuasiveness of 77 new messages, including those developed through the refinement of messages from phase 1, which were coded and assessed based on the Behavior Change Technique Taxonomy (BCTT). For both phases, mean persuasiveness scores (range 1-5) were calculated and compared according to age (aged <21 or ≥21 years) and gender. Top-ranking messages from phase 2 were considered for inclusion in the final message library., Results: In phase 1, top-rated message themes were about warnings about adverse outcomes (eg, impaired judgment and financial costs), recommendations to reduce drinking, and invoking values and goals. Through qualitative coding of suggested messages, we identified themes related to warnings about adverse outcomes, recommendations, prioritizing long-term goals, team and belonging, and invoking values and goals. Respondents preferred to receive 1 to 3 messages per week (124/137, 90.5%) and to be sent messages on Friday, Saturday, and Sunday (65/142, 45.8%). In phase 2, mean scores for messages in the final message library ranged from 3.31 (SD 1.29) to 4.21 (SD 0.90). Of the top 5 highest-rated messages, 4 were categorized into 2 behavior change techniques (BCTs): valued self-identity and information about health consequences. The final message library includes 28 BCTT-informed messages across 13 BCTs, with messages having similar scores across genders. More than one-fourth (8/28, 29%) of the final messages were informed by the suggested messages from phase 1. As Airmen aged <21 years face harsher disciplinary action for alcohol consumption, the program is tailored based on the US legal drinking age., Conclusions: This study involved members from the target population throughout 2 formative stages of intervention development to design a BCTT-informed SMS text messaging intervention to reduce binge and heavy drinking, which is now being tested in an efficacy trial. The results will determine the impact of the intervention on binge drinking and alcohol consumption in the US Air Force., (©Chase A Aycock, Indika Mallawaarachchi, Xin-Qun Wang, Daniel G Cassidy, Jordan M Ellis, Robert C Klesges, G Wayne Talcott, Kara Wiseman. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.03.2024.)

U.S. surveys demonstrate recent decreases in the prevalence of alcohol use and binge drinking among young adults. The current study aims to determine whether similar trends are evident in a similarly aged cohort of service members in the US Air Force to inform ongoing prevention efforts. Participants were 103,240 Air Force personnel in entry-level training between 2016 and 2019. Participants anonymously completed the AUDIT (Alcohol Use Disorder Identification Test) regarding their pre-service drinking. Logistic regression analyses and the Cochran-Armitage test were conducted to measure population trends over the study duration with stratification by age (<21 vs. ≥21) and evaluation of specific alcohol behaviors. Between 2016 and 2019, the proportion of young service members endorsing any alcohol use significantly decreased for both the <21 group (i.e. from 38.9% to 32.6%) and the ≥21 group (i.e. from 80.6% to 77.5%). Among those who endorsed drinking, a decrease over time in binge use was also observed from 46.6% to 37.8% for the <21 group and from 34.2% to 27.5% for the ≥21 group. Responses to other specific alcohol risk items and total AUDIT scores also demonstrated decreases. Binge use and risky drinking remained disproportionately common among those under the legal drinking age. It is encouraging to observe a shift toward abstinence and decreased binge use among this population of young military recruits. However, given the risk for many adverse health and legal consequences in this population, more work is needed to prevent problematic drinking, especially among those under the legal drinking age.

Introduction: Smokers use electronic nicotine delivery systems (ENDS), including e-cigarettes, as a harm reduction strategy even though the Food and Drug Administration (FDA) has not approved them for tobacco cessation. The limited literature about ENDS use for cigarette cessation is concerning for the U.S. military, which is largely comprised of young adults at increased risk for tobacco use. Thus, the current study aims to evaluate use of ENDS products as a cessation tool in relation to point-prevalence tobacco abstinence at one-year follow-up in a cohort of 8,901 U.S. Air Force personnel attending entry-level job training from March 2016 to April 2019., Methods: A propensity-score adjusted multinomial logistic regression model was used to assess the association between the baseline motives for ENDS use (i.e., for cigarette cessation versus alternative reasons) and tobacco use at the one-year follow-up (cigarette use, non-cigarette tobacco product use, and tobacco abstinence) among those reporting history of cigarette use at baseline., Results: Smokers reporting ENDS use for cigarette cessation were more likely to be abstinent at one-year follow-up (Odds Ratio[OR] = 1.62, 95% CI: 1.06-2.49, P  =.03) as well as quit using non-cigarette tobacco products (OR = 2.11, 95% CI: 1.65-2.70, P  <.001) than those reporting ENDS use for alternative reasons., Conclusions: Current tobacco users are recommended to use FDA-approved products for smoking cessation, such as nicotine replacement therapy. However, given the high prevalence of cigarette use among military populations, ENDS may provide a useful alternative harm reduction strategy for this high-risk population., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Introduction: Healthy gestational weight gain (GWG) is associated with improved pregnancy and delivery outcomes. The COVID-19 pandemic changed eating behaviours and physical activity, and thus may have impacted GWG. This study examines the impact of the COVID-19 pandemic on GWG., Methods: Participants (N = 371, 86% of the larger study) were part of a study focused on GWG among TRICARE beneficiaries (i.e., active-duty military personnel and other beneficiaries). Participants were randomized to two treatment groups (GWG intervention (n = 149 pre-COVID and n = 98 during COVID), and usual care condition (n = 76 pre-COVID and n = 48 during COVID). GWG was calculated as the difference between screening weight and at 36 weeks gestation. Participants who delivered prior to the COVID-19 pandemic (March 1, 2020, N = 225) were compared to participants whose pregnancies occurred during the pandemic (N = 146)., Results: We found no significant difference in GWG between those who delivered prior to the pandemic (11.2 ± 4.3 kg) and those whose pregnancies occurred during COVID-19 (10.6 ± 5.4 kg), with no effect of intervention arm. While excessive GWG was higher pre-COVID (62.8%) than during the pandemic (53.7%), this difference was not significant overall or by intervention arm. In addition, we found lower attrition during the pandemic (8.9%) than in the pre-COVID period (18.7%)., Discussion: In contrast to prior research that indicated challenges with engaging in health behaviors during the COVID-19 pandemic, we found that women did not have increased GWG or higher odds of excessive GWG. This research contributes to our understanding of how the pandemic impacted pregnancy weight gain and engagement in research., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Introduction: We sought to determine what type of treatment reengagement after smoking relapse would increase long-term cessation., Aims and Methods: Participants were military personnel, retirees, and family members (TRICARE beneficiaries) recruited across the United States from August 2015 through June 2020. At baseline, consented participants (n = 614) received a validated, four-session, telephonic tobacco-cessation intervention with free nicotine replacement therapy. At the 3-month follow-up, 264 participants who failed to quit or relapsed were offered the opportunity to reengage in cessation. Of these, 134 were randomized into three reengagement conditions: (1) repeat initial intervention ("recycle"), (2) Smoking reduction with eventual cessation goal ("rate reduction"), or (3) Choose #1 or #2 ("choice"). Prolonged abstinence and 7-day point prevalence abstinence were measured at 12 months., Results: Despite being in a clinical trial advertised as having the opportunity for reengagement, only 51% (134 of the 264) of participants who still smoked at 3-month follow-up were willing to reengage. Overall, participants randomized to recycle had higher prolonged cessation rates at 12 months than rate reduction conditions (OR = 16.43, 95% CI: 2.52 to 107.09, Bonferroni adjusted p = .011). When participants who randomly received recycle or rate reduction were pooled, respectively, with participants who chose recycle or rate reduction in the Choice group, recycle had higher prolonged cessation rates at 12 months than rate reduction (OR = 6.50, 95% CI: 1.49 to 28.42, p = .013)., Conclusions: Our findings suggest service members and their family members who fail to quit smoking but are willing to reengage in a cessation program are more likely to benefit from repeating the same treatment., Implications: Finding methods that are both successful and acceptable to reengage people who smoke who want to quit can have a significant impact on improving the health of the public by reducing the portion of the population who smoke. This study suggests that repeating established cessation programs will result in more people ready to quit successfully achieving their goal., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: While tobacco Quitlines are effective in the promotion of smoking cessation, the majority of callers who wish to quit still fail to do so. The aim of this study was to determine if 12-month tobacco Quitline smoking cessation rates could be improved with re-engagement of callers whose first Quitline treatment failed to establish abstinence., Methods: In an adaptive trial, 614 adult smokers, who were active duty, retired, and family of military personnel with TRICARE insurance who called a tobacco Quitline, received a previously evaluated and efficacious four-session tobacco cessation intervention with nicotine replacement therapy (NRT). At the scheduled follow-up at 3 months, callers who had not yet achieved abstinence were offered the opportunity to re-engage. This resulted in three caller groups: 1) those who were abstinent, 2) those who were still smoking but willing to re-engage with an additional Quitline treatment; and 3) individuals who were still smoking but declined re-engagement. A propensity score-adjusted logistic regression model was generated to compare past-7-day point prevalence abstinence at 12 months post Quitline consultation., Results: Using a propensity score adjusted logistic regression model, comparison of the three groups resulted in higher odds of past-7-day point prevalence abstinence at follow-up at 12 months for those who were abstinent at 3 months compared to those who re-engaged (OR=9.6; 95% CI: 5.2-17.8; Bonferroni adjusted p<0.0001), and relative to those who declined re-engagement (OR=13.4; 95% CI: 6.8-26.3; Bonferroni adjusted p<0.0001). There was no statistically significant difference in smoking abstinence between smokers at 3 months who re-engaged and those who declined re-engagement (OR=1.39; 95% CI: 0.68-2.85)., Conclusions: Tobacco Quitlines seeking to select a single initiative by which to maximize abstinence at follow-up at 12 months may benefit from diverting additional resources from the re-engagement of callers whose initial quit attempt failed, toward changes which increase callers' probability of success within the first 3 months of treatment., Trial Registration: This study is registered at clinicaltrials.gov (NCT02201810)., Competing Interests: The authors have each completed and submitted an ICMJE form for disclosure of potential conflicts of interest. The authors declare that they have no competing interests, financial or otherwise, related to the current work. All the authors report that since the initial planning of the work this study received support from the National Heart, Lung, and Blood Institute (NHLBI; HL123978). K.P. Wiseman reports that in the past 36 months, received grants or contracts from the National Center for Advancing Translational Sciences of the National Institutes of Health (Award numbers: UL1TR003015 and KL2TR003016). J.O. Ebbert, reports that in the past 36 months received grants or contracts from Applied Aerosol Technologies. R.C. Klesges reports that in the past 36 months, grants or contracts were paid to the institution from the University of Virginia Strategic Investment Fund (SIF #135) and from the Preventing Binge and Episodic Drinking in the U.S. Air Force (BA170019 | DoD)., (© 2023 Cassidy D.G. et al.)

People who smoke often make several quit attempts before successfully maintaining abstinence. Therefore, incorporating re-engagement for people who fail to initially quit could increase quit attempts and ultimately increase cessation rates. Within the context of quit line-based interventions, it remains unknown what characteristics are associated with re-engagement. The purpose of this study was to assess associations between demographic and motivational characteristics, tobacco use, and initial intervention engagement with re-engagement in a tobacco quit line intervention. Among 372 adults who reported smoking three months after initiating a quit line-facilitated quit attempt as part of a larger randomized clinical trial, associations between personal characteristics (e.g., age, gender, nicotine dependence, and confidence in their ability to quit smoking) and initial intervention engagement (number of completed counseling sessions and use of nicotine replacement therapy (NRT)) with re-engagement (accepting an offer to re-initiate the quit line intervention) were determined using multivariable logistic regression modeling. Compared to non-White participants, White participants had lower odds of re-engaging (OR: 0.42, 95% CI: 0.23, 0.75). Number of initial counseling sessions completed was associated with re-engaging. NRT use during the initial intervention was not associated with re-engaging. Initial intervention engagement is important in the process of re-engagement, specifically attending counseling sessions. Exploration of associations between initial intervention engagement and potentially modifiable motivational factors is needed to be potentially leveraged in future interventions to maintain continued engagement in cessation among adults who smoke.

Introduction: Alcohol use is prevalent among military personnel, with many engaging in binge drinking behaviors. Military trainees are unique, in that they experience an enforced alcohol ban for 8 weeks while in Basic Military Training. However, they are also typically young adults, who consume alcohol at higher rates than any other age group. The current study aimed to describe alcohol consumption among trainees, determine when, where, and with whom Airmen drank for the first time during Technical Training, and if these patterns were significantly different based on descriptive norms (i.e., beliefs about how many other individuals engage in a certain behavior) related to alcohol use, given that most military members consume alcohol. Last, we aimed to determine if alcohol consumption or potential alcohol use disorders were significantly different based on descriptive norms., Materials and Methods: Airmen (n = 599) were recruited at Joint Base San Antonio-Fort Sam Houston during their last week of Technical Training to complete a survey. Study procedures were approved by the 59th Medical Wing Institutional Review Board. Participants were asked about their beliefs related to how many other Airmen drink alcohol (i.e., less than 50%, 50%, or greater), their own experiences with alcohol (e.g., how much they drink compared with consumption before military service, blackouts after drinking during Technical Training), and when, where, and with whom they consumed alcohol for the first time after beginning military training., Results: Over half of the Airmen reported not engaging in drinking behaviors during Technical Training. Among those who reported drinking one or more drinks during Technical Training, most reported drinking the same amount or less than they did prior to Basic Military Training. The majority of Airmen reported that they had "maybe" experienced blackouts from drinking since Technical Training. Most Airmen drank for the first time with another someone who was not an Airman, at a restaurant, home, or other place off base, and while they were on leave. Results indicated no significant differences between groups related to beliefs about how many Airmen drink during Technical Training and where, when, and with whom Airmen drank for the first time since joining the Air Force. There were also no differences in Alcohol Use Disorders Identification Test scores or drinks per week between these normative belief groups., Conclusions: Almost half of Airmen resume drinking after alcohol restrictions are lifted during Technical Training but maintain low numbers of drinks consumed per week and low risk for alcohol use disorders, which may indicate that this is an opportune time for intervention to prevent alcohol consumption from escalating over time. Airmen reported drinking for the first time with another Airman off base during leave. Focusing on how Airmen navigate alcohol-related decision-making while their responsibilities are reduced, or how other Airmen influence their decisions to engage in risky drinking, may help prevent alcohol use rates from increasing post-enforced ban., (© The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: People from minoritized populations have historically been targeted by tobacco companies. Little is known about exposure to tobacco-related messages among military personnel from disadvantaged backgrounds. Objectives: The current study aimed to examine exposure to tobacco-related messaging across many nicotine products and through a variety of mediums (i.e., family, friends, advertisements, event promotions, social media) among diverse military populations and use one year later in a sample of young adults who recently enlisted in the U.S. Air Force. Methods: In this study, 8,901 U.S. Air Force trainees reported on demographics, tobacco use, and exposure to positive tobacco messages from social sources (i.e., friends, family, social media) and environmental sources (i.e., advertisements and promotions). Tobacco use was reported one-year later. Results: Compared to others of the same reported racial/ethnic background, Latino/a/x (Relative Risk Ratio [RRR] = 1.354, 95% CI : [1.145, 1.563]) and multiracial (RRR = 1.594, 95% CI : [1.173, 2.016]) participants who were exposed to positive tobacco messages from social sources were significantly more likely to report tobacco product use at one-year follow-up than those who were not exposed to social messages. Exposure to positive tobacco messages from environmental sources were not significantly associated with tobacco use one year later. Conclusions: Social messages may play an important role in increasing risk of tobacco use among some minoritized populations. Cultural as well as systemic factors could be addressed in future tobacco prevention programs to decrease the potency of positive tobacco-related social messages among Latino/a/x and multiracial communities.

Self-generated identification codes (SGICs) are strings of information based on stable participant characteristics. They are often used in longitudinal research to match data between time points while protecting participant anonymity. However, the use of SGICs with military personnel has been infrequent, even though military personnel do not have the same privacy protections as civilians. The current paper reports results from two studies that tested the feasibility, reliability, and validity of using a SGIC to collect sensitive longitudinal data among military personnel. In study one, a team of 105 participants was tracked three times over a period of 12 weeks. The 10-item SGIC produced optimal matching over the 12-weeks. In study two, 1,844 participants were randomly assigned to a SGIC group or an anonymous control group, and then were asked to provide information about their alcohol use. Although match rates declined over time, there were no observed differences between study groups in participants' beliefs about the use of a SGIC. However, differences were identified in reported alcohol use behaviors between the groups, with controls reporting significantly more drinks per week and higher AUDIT-10 scores. While these findings raise potential concerns about using SGICs for epidemiological assessments of highly sensitive problem behaviors, these codes may still be useful in determining group differences in behavior change in randomized studies.

Background: Physical activity is recommended for all pregnant individuals and can prevent excessive gestational weight gain. However, physical activity has not been assessed among military personnel and other TRICARE beneficiaries, who experience unique military lifestyles. The current study assessed physical activity among pregnant TRICARE beneficiaries, both active duty and non-active duty, as measured by accelerometry and self-report data to examine potential predictors of physical activity engagement in the third trimester, and if self-report data was consistent with accelerometry data. We expected having a lower BMI, being active-duty, and having higher baseline physical activity engagement to be associated with higher physical activity at 32-weeks. We also hypothesized that accelerometry data would show lower physical activity levels than the self-reported measure., Methods: Participants were 430 TRICARE adult beneficiaries (204 Active Duty; 226 non-Active Duty) in San Antonio, TX who were part of a randomized controlled parent study that implemented a stepped-care behavioral intervention. Participants were recruited if they were less than 12-weeks gestation and did not have health conditions precluding dietary or physical activity changes (e.g., uncontrolled cardiovascular conditions) or would contribute to weight changes. Participants completed self-report measures and wore an Actical Activity Monitor accelerometer on their wrist to collect physical activity data at baseline and 32-weeks gestation., Results: Based on the accelerometer data, 99% of participants were meeting moderate physical activity guidelines recommending 150 min of moderate activity per week at baseline, and 96% were meeting this recommendation at 32-weeks. Based on self-report data, 88% of participants at baseline and 92% at 32-weeks met moderate physical activity recommendations. Linear regression and zero-inflated negative binomial models indicated that baseline physical activity engagement predicted moderate physical activity later in pregnancy above and beyond BMI and military status. Surprisingly, self-reported data, but not accelerometer data, showed that higher baseline activity was associated with decreased vigorous activity at 32-weeks gestation. Additionally, self-report and accelerometry data had small correlations at baseline, but not at 32-weeks., Conclusions: Future intervention efforts may benefit from intervening with individuals with lower pre-pregnancy activity levels, as those who are active seem to continue this habit., Trial Registration: The trial is registered on clinicaltrials.gov (NCT03057808)., (© 2022. The Author(s).)

Objective: Despite military fitness regulations, women in the military frequently experience overweight/obesity, excessive gestational weight gain (GWG), and the postpartum implications. This interim analysis of the Moms Fit 2 Fight study examines GWG outcomes among active-duty personnel and other TRICARE beneficiaries who received a stepped-care GWG intervention compared with those who did not receive a GWG intervention., Method: Participants (N = 430; 32% identified with an underrepresented racial group, 47% were active duty) were randomized to receive a GWG intervention or the comparison condition, which did not receive a GWG intervention., Results: Retention was 88% at 32 to 36 weeks' gestation. Participants who received the GWG intervention gained less weight compared with those who did not (mean [SD] = 10.38 [4.58] vs. 11.80 [4.87] kg, p = 0.0056). Participants who received the intervention were less likely to have excessive GWG compared with those who did not (54.6% vs. 66.7%, p = 0.0241). The intervention effects were significant for participants who identified as White, but not for those of other racial identities. There were no significant differences between the conditions in maternal/neonatal outcomes., Conclusions: The intervention successfully reduced excessive GWG, particularly among participants who identified as White. Should this intervention be found cost-effective, it may be sustainably integrated throughout the military prenatal care system., (© 2022 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society (TOS).)

Introduction: Military personnel have some of the highest rates of tobacco use in the USA. Within the Air Force, a common point of Airmen's (re-)initiation of tobacco use is during technical training once the tobacco ban has been lifted. Unfortunately, little is known about what factors facilitate and deter tobacco use during technical training. The socio-ecological model, which emphasizes multiple levels of influence on behavior (e.g., personal, intrapersonal, and environmental), provides a strong and comprehensive basis for which to explore factors that may impact tobacco use during technical training., Materials and Methods: Twenty-two focus groups were conducted among Airmen (n = 10), Military Training Leaders (MTLs, n = 7), and Technical Training Instructors (TTIs, n = 5). Semi-structured focus group protocols were developed based on the socio-ecological model and included questions intended to elicit factors that facilitated and deterred tobacco use during technical training. Focus groups were transcribed and then coded using a hybrid deductive-inductive process., Results: At the personal level, five factors were identified that influenced tobacco use: choice, fit with lifestyle, associations with the tobacco experience, association with military job outcomes, and association with health outcomes. Three interpersonal level factors were identified: peer influence, leadership influence, and normative beliefs. There were two influential environmental level factors: pricing and promotion and access to tobacco. Except for normative beliefs, all personal, interpersonal, and environmental-level factors were discussed as having aspects that could either facilitate or deter tobacco use. Normative beliefs, an interpersonal-level factor, were only discussed as a facilitator of tobacco use., Conclusions: Taken together, study findings can be used to enhance the effectiveness of tobacco prevention and cessation programs for Air Force Technical Trainees. Specific strategies to support the reduction of tobacco use among Airmen are presented., (© The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Alcohol use is common among military personnel. However, alcohol use and problems are challenging to measure because military personnel do not have similar levels of confidentiality as civilians and can face sanctions for reporting illegal behavior (e.g., underage drinking) or for drinking during prohibited times (e.g., during basic training). The current study aimed to determine if the use of the alcohol purchase task (APT), which has previously been associated with alcohol use and alcohol-related problems in civilian populations, is a valid measure of alcohol-related risk in the military when asking about alcohol consumption is less feasible. Participants were 26,231 Air Force airmen who completed surveys including questions about sensation seeking, alcohol expectancies, perception of peer drinking, intent to drink, and family history of alcohol misuse, which are known predictors of alcohol use, and the APT, from which demand indices of intensity and O max were derived. Individuals who were single, male, White, and had a high school diploma/GED had higher intensity and O max scores, and non-Hispanic individuals had higher intensity scores. Age was negatively correlated with intensity and O max . Regressions were used to determine if intensity and O max were associated with known predictors of alcohol use and risk. Intensity and O max showed significant but small associations with all included predictors of alcohol consumption and alcohol risk. Effect sizes were larger for individuals ages 21+ compared to individuals under 21. Thus, this study provides initial support for the validity of the APT as an index of alcohol-related risk among military personnel. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

E-cigarette use has significantly escalated among young adults in recent years. The purpose of the current study was to better understand alternative ways in which young adults use their e-cigarettes in situations where ad-lib use is prohibited. The current study is a secondary analysis to a parent study assessing facilitators and barriers for tobacco use among young adult military personnel. Ten focus groups were conducted with 83 Airmen at the end of their Technical (advanced) Training. Focus group discussions were transcribed and thematic analysis was used to determine trends related to risky e-cigarette use. Participants described using liquids with extremely high nicotine contents or using the e-cigarette so quickly and intensely that they could not stand up or became ill. Results highlight the ease by which individuals can make alterations to their e-cigarettes or their use behaviors, which could potentially increase their risk of nicotine poisoning., Competing Interests: Conflicts of Interests: The authors declare no conflict of interest.

Introduction: Most smokers begin using tobacco before the age of 25 years, making it important to reduce tobacco use during adolescence and early adulthood. Rates of use are historically higher among military personnel. While 'Tobacco 21' made it illegal for US retailers to sell tobacco to those aged <21 years, the policy did not address cessation for current youth and young adult tobacco users. Additionally, there is limited research on cessation interventions among young adults under 21 years. The current study evaluated the efficacy of a group-based Brief Tobacco Intervention (BTI) among US Air Force trainees, who are predominantly aged 18-20 years and directly impacted by Tobacco 21 legislation., Methods: Participants were 2969 US Air Force Trainees from April 2017 through January 2018 cluster randomized to three conditions: 1) BTI + Airman's Guide to Remaining Tobacco Free (AG), 2) AG alone, and 3) the National Cancer Institute's Clearing the Air (CTA) pamphlet. To assess the efficacy of the interventions among people aged 18-20 years, a domain analysis (<21 years, n=2117; and ≥21 years, n=852) of a multinomial logistic regression model was run., Results: Mono tobacco users aged <21 years at baseline who received the BTI+AG had higher odds of quitting tobacco at 3 months (OR=2.13; 95% CI: 1.02-4.46). Dual and poly users aged <21 years at baseline who received the BTI+AG intervention had higher odds of reducing the number of tobacco products used at 3 months (OR=2.94; 95% CI: 1.03-8.37)., Conclusions: The BTI was effective for people aged 18-20 years. The current study offers insight into components of interventions that might be successful in helping this age group decrease tobacco use., Competing Interests: The authors have each completed and submitted an ICMJE form for disclosure of potential conflicts of interest. The authors declare that they have no competing interests, financial or otherwise, related to the current work. M.A. Little, X. Wang, M.C. Fahey, K. Pebley and R.C. Klesges report that since the initial planning of the work the following payments were received: National Institute on Drug Abuse (R21 DA042083 and R01 DA043468), National Center for Advancing Translational Sciences of the National Institutes of Health (Award Numbers UL1TR003015 and KL2TR003016). M.A. Little, X. Wang, M.C. Fahey, K. Pebley and R.C. Klesges also report that in the past 36 months received non-monetary support from Cooperative Research and Development Agreement via US Air Force and the University of Virginia (CRADA # 17-361-59MDW-C18003). Finally, M.A. Little declares that she participates (unpaid) as an Incoming chair in Evidence Based Behavioral Medicine special interest group in the Society for Behavioral Medicine. K.P. Wiseman reports that since the initial planning of the work, the present manuscript was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health (Award Numbers UL1TR003015 and KL2TR003016)., (© 2021 Little M.A. et al.)

Background: Electronic self-monitoring technology has the potential to provide unique insights into important behaviors for inducing weight loss., Objective: The aim of this study is to investigate the effects of electronic self-monitoring behavior (using the commercial Lose It! app) and weight loss interventions (with differing amounts of counselor feedback and support) on 4- and 12-month weight loss., Methods: In this secondary analysis of the Fit Blue study, we compared the results of two interventions of a randomized controlled trial. Counselor-initiated participants received consistent support from the interventionists, and self-paced participants received assistance upon request. The participants (N=191), who were active duty military personnel, were encouraged to self-monitor their diet and exercise with the Lose It! app or website. We examined the associations between intervention assignment and self-monitoring behaviors. We conducted a mediation analysis of the intervention assignment for weight loss through multiple mediators-app use (calculated from the first principal component [PC] of electronically collected variables), number of weigh-ins, and 4-month weight change. We used linear regression to predict weight loss at 4 and 12 months, and the accuracy was measured using cross-validation., Results: On average, the counselor-initiated-treatment participants used the app more frequently than the self-paced-treatment participants. The first PC represented app use frequencies, the second represented calories recorded, and the third represented reported exercise frequency and exercise caloric expenditure. We found that 4-month weight loss was partially mediated through app use (ie, the first PC; 60.3%) and the number of weigh-ins (55.8%). However, the 12-month weight loss was almost fully mediated by 4-month weight loss (94.8%). Linear regression using app data from the first 8 weeks, the number of self-weigh-ins at 8 weeks, and baseline data explained approximately 30% of the variance in 4-month weight loss. App use frequency (first PC; P=.001), self-monitored caloric intake (second PC; P=.001), and the frequency of self-weighing at 8 weeks (P=.008) were important predictors of 4-month weight loss. Predictions for 12-month weight with the same variables produced an R 2 value of 5%; only the number of self-weigh-ins was a significant predictor of 12-month weight loss. The R 2 value using 4-month weight loss as a predictor was 31%. Self-reported exercise did not contribute to either model (4 months: P=.77; 12 months: P=.15)., Conclusions: We found that app use and daily reported caloric intake had a substantial impact on weight loss prediction at 4 months. Our analysis did not find evidence of an association between participant self-monitoring exercise information and weight loss. As 12-month weight loss was completely mediated by 4-month weight loss, intervention targets should focus on promoting early and frequent dietary intake self-monitoring and self-weighing to promote early weight loss, which leads to long-term success., Trial Registration: ClinicalTrials.gov NCT02063178; https://clinicaltrials.gov/ct2/show/NCT02063178., (©Gregory Farage, Courtney Simmons, Mehmet Kocak, Robert C Klesges, G Wayne Talcott, Phyllis Richey, Marion Hare, Karen C Johnson, Saunak Sen, Rebecca Krukowski. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 14.07.2021.)

Objectives: Heavy alcohol use is a particular problem in the US military, prompting the Institute of Medicine to identify it as a public health crisis. Developing prevention programs aimed at reducing problematic drinking during military service would be useful. Thus, the purpose of the current study, was to broadly disseminate and assess the effectiveness of a brief alcohol intervention (BAI) + random breathalyzer (RB) intervention to reduce alcohol related incidents (ARIs), to all incoming Air Force trainees., Methods: The BAI was administered to all incoming Airmen (N = 15,898) across 4 major training Air Force bases. Additionally, underage Airmen were subject to RB tests. A quasi-experimental pre-test post-test design compared the rate of ARIs, per 100,000 training days, during the year prior and the year after the intervention was delivered., Results: A Poisson model indicated that the BAI + RB intervention was associated with a decrease in ARIs across all bases. Overall, the intervention lowered the ARI rate by 16% (β = -0.178, standard error  = 0.0742, P = 0.016). For every 100,000 training days, annual ARIs decreased from 30.8 to 25.5 after implementation., Conclusions: A universally administered brief alcohol intervention, coupled with RB targeting underage drinkers, was associated with a reduction in the rate of ARIs. Results of this large-scale prevention study indicate that a brief alcohol intervention can be widely disseminated during US Air Force training and can perhaps reduce costs and make a public health contribution by decreasing alcohol related incidents., Competing Interests: The authors report no conflicts of interest., (Copyright © 2020 American Society of Addiction Medicine.)

Background: Feedback for participants' self-monitoring is a crucial and costly component of technology-based weight loss interventions. Detailed examination of interventionist time when reviewing and providing feedback for online self-monitoring data is lacking., Objective: The aim of this study was to longitudinally examine the time counselors spent providing feedback on participant self-monitoring data (ie, diet, physical activity, weight) in a 12-month technology-based weight loss intervention. We hypothesized that counselors would compose feedback for participants more quickly over time., Methods: The time the lay counselors (N=10) spent reviewing self-monitoring records and providing feedback to participants via email was longitudinally examined for all counselors across the three years of study implementation. Descriptives were observed for counselor feedback duration across counselors by 12 annual quarters (ie, 3-month periods). Differences in overall duration times by each consecutive annual quarter were analyzed using Wilcoxon-Mann-Whitney tests., Results: There was a decrease in counselor feedback duration from the first to second quarter (mean 53 to 46 minutes; P<.001), and from the second to third (mean 46 to 30 minutes; P<.001). A trend suggested a decrease from the third to fourth quarter (mean 30 to 26 minutes; P=.053), but no changes were found in subsequent quarters. Consistent with the hypothesis, counselors may be increasing their efficiency in providing feedback; across 12 months, counselors spent less time reviewing participant self-monitoring and composing feedback (decreasing from mean 53 to 26 minutes)., Conclusions: Counselors used increasingly less time to review online self-monitoring data and compose feedback after the initial 9 months of study implementation. Results inform counselor costs for future technology-based behavioral weight loss interventions. For example, regardless of increasing counselor efficiency, 25-30 minutes per feedback message is a high cost for interventions. One possibility for reducing costs would be generating computer-automated feedback., Trial Registration: ClinicalTrials.gov NCT02063178; https://clinicaltrials.gov/ct2/show/NCT02063178., (©Margaret C Fahey, Robert C Klesges, Mehmet Kocak, Leslie A Gladney, Gerald W Talcott, Rebecca A Krukowski. Originally published in JMIR Formative Research (https://formative.jmir.org), 05.05.2021.)

Military service presents unique challenges and opportunities for health care and public health. In the USA, there are over 2 million military servicemembers, 20 million veterans, and millions more military and veteran family members. Military servicemembers and eligible family members, many veterans, and retirees receive health care through the two largest learning health care systems in the USA, managed and delivered through the Departments of Defense (DoD), Veterans Affairs (VA), and contracted health care organizations. Through a network of collaborative relationships, DoD, VA, and partnering health care and research organizations (university, corporate, community, and government) accelerate research translation into best practices and policy across the USA and beyond. This article outlines military and veteran health research translation as summarized from a collaborative workshop led by experts across health care research, practice, and administration in DoD, VA, the National Institutes of Health, and affiliated universities. Key themes and recommendations for research translation are outlined in areas of: (a) stakeholder engagement and collaboration; (b) implementation science methods; and (c) funding along the translation continuum. Overall, the ability to rapidly translate research into clinical practice and policy for positive health outcomes requires collaborative relationships among many stakeholders. This includes servicemembers, veterans, and their families along with researchers, health care clinicians, and administrators, as well as policymakers and the broader population., (© Published by Oxford University Press on behalf of the Society of Behavioral Medicine 2020.)

Introduction: Tobacco use has long been a part of military culture, and rates of tobacco use remain higher among military personnel compared to civilians. The current study examines aspects of Air Force tobacco culture that encourage tobacco use., Materials and Methods: We conducted 7 focus groups among Air Force Military Training Leaders (n=48) and 5 focus groups among Technical Training Instructors (n=33) from July 2018 to February 2019., Results: Tobacco use was seen as a core part of Air Force culture and a low risk behavior, in contrast to other potential activities. Three themes of Air Force culture that facilitate tobacco use emerged: 1) opportunity for work breaks; 2) finding common ground; and 3) stress management or stress relief during deployment. Smoke pits were seen as serving several functions that were not perceived to occur anywhere else: an opportunity for informal communication with leadership, a source of valuable information, and a space for problem solving., Conclusions: Airmen viewed tobacco as serving a functional role, which outweighed its harm. Future programs might try to address the functions fulfilled by tobacco in order to enhance their impact.

Background: Approximately 17% of young adults currently use tobacco, most commonly cigarettes and/or electronic cigarettes (e-cigarettes), followed by other products (i.e., cigarillos, pipe/hookah, smokeless tobacco). Cigarettes have been historically used to control weight. Little is known about use of non-cigarette products for weight control, particularly among non-college young adults. Tobacco use in the military is higher than civilians, and personnel have increased motivation for weight control due to military fitness standards. This population might be vulnerable to use tobacco for this purpose. Purpose: Exploring prevalence, as well as demographic and behavioral correlates, of using tobacco products for weight control, among a large, diverse sample of military young adults. Methods: U.S. Air Force recruits (N = 24,543) completed a questionnaire about tobacco use. Among users of tobacco products, recruits reported if they had ever used that product to maintain their weight. Results: Smokeless tobacco was most commonly used for weight control (12.2%), followed by cigarettes (7.3%), e-cigarettes (5.5%), cigarillos (3.3%), and hookah/pipe (3.2%). Using tobacco for weight control was associated with fewer harm beliefs and more regular use of that product. Among e-cigarette users, having a higher BMI and a lower educational background was associated with ever using this product for weight control. Conclusions: The belief that a tobacco product helps control one's weight might increase the prevalence, and frequency of use, of that product among military young adults. Tobacco cessation programs should assess for this motivation of use and provide education about tobacco harm and alternative strategies for weight maintenance.

Background: The US military has historically higher tobacco use compared to civilians, and tobacco use increases following enlistment. While the military is vulnerable to tobacco use, current surveillance of tobacco among this high-risk population is lacking. Methods: Recently enlisted Airmen ( N  = 43,597) between 2013 and 2018 were asked about tobacco use prior to enlistment across ten products: (1) cigarettes/roll your own tobacco, (2) smokeless tobacco/snus, (3) cigars, cigarillos/little cigars, (4) hookah/pipe, and (5) e-cigarettes. Results: Hookah/pipe use, cigarettes/roll your own, smokeless tobacco/snus, and cigars/little cigars/cigarillos use decreased significantly between 2013 and 2018, while the prevalence of e-cigarette use increased ( p ' s  < 0.0001). The relationships between the time and each tobacco product(s) use outcomes were influenced differently by different age, race, education and marital status. Conclusion: While e-cigarette use has increased in the civilian sector, the use of e-cigarettes among new recruits increased much more drastically (i.e. prevalence 15.3% in 2018). Further, demographic characteristics influenced tobacco trends; specifically, recruits of racial minorities increased their use of e-cigarettes over the past five years faster than Whites. Of concern is what impact this dramatic increase in e-cigarette use will have on overall health and later initiation of combustible tobacco products in the military.

Competing Interests: Competing interests: None declared.

Introduction: Military personnel have among the highest rates of tobacco use in the United States. Unfortunately, there are few interventions aimed at reducing tobacco use among this vulnerable population. The current study addresses this need by evaluating the short-term effectiveness of a Brief Tobacco Intervention (BTI), a 40-min group-based intervention designed to reduce contemporary patterns of tobacco use among a sample of US military enlistees during an 11-week period of involuntary tobacco abstinence., Aims and Methods: Participants were 2999 US Air Force Technical Trainees at Joint Base San Antonio-Lackland Air Force Base in San Antonio, Texas from April 2017 through January 2018. Participants were cluster randomized to three conditions: (1) BTI + Airman's Guide to Remaining Tobacco Free (AG), (2) AG intervention, or (3) standard smoking cessation intervention. The primary analysis was a comparison of the interventions' efficacies in preventing tobacco use during Technical Training, conducted using a generalized estimating equations logistic regression model controlling for covariates. Multiple imputation was used to account for loss to follow-up., Results: There was not a significant difference by condition in the use of tobacco products at follow-up (p = .454). The BTI + AG condition did produce short-term changes in perceived harm, intentions to use tobacco, knowledge about tobacco products, and normative beliefs., Conclusions: These findings suggest that while the intervention was effective in the short term, it was not potent enough over a 12-week period to prevent Airmen from initiating tobacco use. Future studies should examine whether adding a booster session or media campaign enhances the effectiveness of the intervention., Implications: Despite the fact that most Airmen believe they will remain tobacco free following the ban in Technical Training, a large percentage of these Airmen resume and initiate tobacco use during this high-risk period. As a result, there is a need for interventions targeting the range of tobacco available to military trainees during a teachable moment when they report intentions to remain tobacco free. The current study shows that a BTI has promise in reducing long-term tobacco use, when coupled with additional interventions, such as a booster session or a media campaign., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The current study aimed to observe potential seasonal fluctuations in weight and self-weighing behavior among a diverse sample of adults engaged in a behavioral weight loss intervention., Methods: Active duty personnel (N = 248) were randomized to either a counselor-initiated or self-paced 12-month behavioral weight loss intervention promoting daily self-weighing. Body weight and self-weighing frequency were collected from electronic scales (e-scales) provided at baseline., Results: Overall, participants lost weight from winter to spring (p = 0.02) and gained weight from fall to winter (p < 0.001). No demographic differences in weight changes were observed. Participants self-weighed less frequently during summer compared to spring (p < 0.0001), less in fall compared to summer (p < 0.0001), and less in winter compared to fall (p < 0.0001). In multivariate models, weight change and self-weighing frequency during the previous season, as well as days since randomization and intervention intensity were associated with seasonal weight changes., Conclusions: This study is the first to observe seasonal fluctuations of weight and self-weighing behavior among adults actively engaged in a weight loss intervention, consistent with research in the general population. Findings highlight the importance of acknowledging seasonal influence within weight loss programs and trials., Level of Evidence: Level I, randomized controlled trial.

Background: The military has stringent anti-tobacco regulations for new recruits. While most tobacco products have declined in recent years, e-cigarette use has tripled among this population. However, little is known about the factors facilitating this inverse relationship., Objectives: Examine the facilitators of e-cigarette use during a high risk period following initial enlistment among young adults., Methods: Focus groups were conducted with Airmen, Military Training Leaders (MTLs) and Technical Training Instructors (TTIs) to qualitatively explore unique characteristics of e-cigarettes leading to use in Technical Training., Results: The most commonly used tobacco product across participants was cigarettes (42.7%), followed by e-cigarettes (28.0%) and smokeless tobacco (22.6%). Almost a third (28.7%) of participants reported using more than one tobacco product. E-cigarette use was much more common among Airmen (76.1%), compared to MTLs (10.9%) and TTIs (13.0%).Four main facilitators around e-cigarette use were identified including: 1) There is no reason not to use e-cigarettes; 2) Using e-cigarettes helps with emotion management; 3) Vaping is a way of fitting in; and 4) Existing tobacco control policies don't work for vaping. E-cigarettes were not perceived as harmful to self and others, which could explain why Airmen were much less likely to adhere to existing tobacco control regulations. Subversion was viewed as the healthy option compared to utilizing designated tobacco use areas due to the potential exposure to traditional tobacco smoke. This coupled with a lack of understanding about e-cigarette regulations and difficulties with enforcement, promoted use among this young adult population., Conclusion: Findings suggest that e-cigarettes are used for similar reasons as traditional tobacco products, but their unique ability to be concealed promotes their widespread use and circumvents existing tobacco control policies. In order to see reductions in use, environmental policies may need to be paired with behavioral interventions at the personal and interpersonal level.

Introduction: Military personnel are at high risk for tobacco use, particularly during the first year of military service. Technical Training follows an 8½ week tobacco ban during basic military training and is a vulnerable time for personnel to both reinitiate and initiate tobacco use. Thus, this can be a crucial time to promote tobacco policies and interventions. However, there is limited research examining when, how, and where personnel access tobacco during the first year of service, particularly among users of newer products (eg, electronic cigarettes[e-cigarettes]). Thus, the purpose of the current study is to explore the timing, source, and location of tobacco use during Technical Training across all types of products. Furthermore, this study will examine differences in demographic characteristics and prior tobacco history in relationship to these tobacco behaviors., Materials and Methods: Participants were U.S. Air Force recruits completing Technical Training (2017-2018). Protocol was approved by the Institutional Review Board at the 59th Medical Wing of the U.S. Air Force. During the first week of Technical Training, Airmen were consented to participate in the study and completed a questionnaire about demographics and tobacco use history. Next, Airmen were randomized to receive one of three tobacco prevention interventions as part of military training. At a 3-month follow-up, during the last week of Technical Training, consented participants completed a questionnaire about current tobacco use. Airmen reported when (ie, first month vs. after), how (ie, "bummed" from another airman, bought on or off base, received from the internet or event), and where (ie, designated smoking areas on base, off base, bar or club, friend's house, cigar lounge, hookah bar, or vape shop) they used tobacco during Technical Training. Descriptive statistics were used to examine these behaviors across all tobacco products. Additionally, Wilcoxon-Mann-Whitney and Kruskal-Wallis tests compared differences in demographic characteristics and baseline tobacco use in relationship to these tobacco behaviors., Results: No significant differences were found when comparing prior users and first-time users in relationship to tobacco behaviors during Technical Training; however, significant differences in educational background and age were found in regard to the source and location of tobacco use. Additionally, how and where Airmen first used tobacco during Technical Training differed across products. Cigarettes and smokeless tobacco were equally likely to be bought on or off base and most commonly first used at a designated smoking area on base. However, e-cigarettes, cigarillos/little cigars, and hookah were more likely to be bought off base, and first used at a specialty store (ie, vape shop, hookah bar, or cigar lounge)., Conclusions: Tobacco use behaviors during Technical Training differed depending on the type of product. Specifically, new and emerging products were more likely to be bought off base and first used at a specialty store. Thus, military polices regulating on base tobacco pricing might not reduce the growing prevalence of e-cigarettes. Future policies might consider addressing the density of off-base tobacco retailers to reduce the high rates of tobacco use in this population., (© Association of Military Surgeons of the United States 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Overweight and obesity are a major public health concern in the United States, including among active duty military personnel. Approximately 51% of active duty personnel are classified as overweight and 15% are classified as obese. This may impact military readiness. The current study aimed to determine if a weight loss intervention impacted fitness test scores among Air Force personnel., Materials and Methods: From 2014 to 2016, 204 Air Force members with overweight/obesity were randomized into either a Self-paced or counselor-initiated arm in a weight loss program. Study procedures were approved by the Institutional Review Board of the 59th Medical Wing in San Antonio and were acknowledged by the Institutional Review Board at the University of Tennessee Health Science Center. Fitness test scores from before, during, and after the intervention were used to determine if the intervention resulted in improvements in overall fitness test ratings and scores on individual components of the test., Results: Participants who lost at least 5% of their weight had better fitness ratings during the intervention compared to individuals who did not lose 5%. However, in the overall sample, fitness ratings worsened from preintervention to during the intervention, and from during to postintervention. Participants with overweight had better aerobic scores pre- and postintervention as well as better abdominal circumference scores and better fitness test ratings preintervention, during the intervention and postintervention compared to participants with obesity., Conclusions: Behavioral weight management interventions that achieve 5% weight loss may help improve military fitness test ratings., (© The Association of Military Surgeons of the United States. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Military personnel are a subgroup of young adults at risk for tobacco and nicotine containing product (TNCP) use. This study of US Air Force (USAF) trainees who were never users of TNCPs examined gender, peer tobacco use, and tobacco use intentions as predictors of TNCP initiation after Basic Military Training (BMT). We used a longitudinal cohort assessment study design with baseline and 1-year surveys completed (2011-2016) among 2393 USAF trainees: 73% men, 95% aged 18-25 years, 36% racial minorities. Overall, initiation of any TNCP use at 1-year was 23% (20% women, 24% men). From a multivariable multinomial logistic regression model predicting TNCP use at 1-year follow-up, significant 2-way interactions were detected between gender and number of close friends using tobacco before BMT (p = 0.015), and between gender and tobacco use intentions (p < 0.0001). Women reporting almost all or many close friends used tobacco were more likely to report TNCP use compared to women with none (Odds ratio [OR] = 5.8, 95% CI 2.5-13.5, Bonferroni corrected p < 0.0001). Having close friends using tobacco had little influence on TNCP use among men. Men with tobacco use intentions were more likely to report TNCP use compared to men having no intentions (OR = 8.0, 95% CI: 4.7-13.6, Bonferroni corrected p < 0.001), but tobacco use intentions had little influence among women. In this sample of USAF trainees, the study provides novel prospective findings on TNCP initiation, and how men and women are influenced differently by peer tobacco use and tobacco use intentions. Gender-specific prevention efforts focused on uptake of TNCPs appear warranted., (© 2020 The Author(s).)

Introduction: Despite declines of cigarette use in the civilian population, military personnel report alarmingly high rates of cigarette use. Enlisted Air Force recruits are required to remain tobacco-free for the first 12 weeks of training, and the majority express confidence they will not use tobacco after the ban; however, most previous smokers return to smoking and many nonsmokers initiate. Understanding the factors associated with cigarette-smoking initiation among non-users and re-initiation among former users is critical for the development of successful tobacco control efforts., Materials and Methods: The current study examines predictors of cigarette smoking among a sample of 2,188 USAF personnel after their first year of service. Logistic regression analyses examined associations between baseline predictors and initiation and re-initiation of cigarette smoking at a one-year follow-up., Results: Compared to never smokers at both time points, the strongest predictor of smoking initiation over the past 12 months was having owned cigarette-branded merchandise (OR 3.81, 95% CI 1.67, 8.71). Compared to former smokers who remained abstinent, the strongest predictor of re-initiation was intention to use tobacco (OR 2.08, 95% CI 1.53, 2.83). Compared to individuals who initiate, the strongest predictors of re-initiation were prior use of other tobacco products and tobacco use intentions (ORs range 1.85 to 4.63)., Conclusions: Multiple risk factors are associated with tobacco use. Given that Airmen are tobacco-free for the first 12 weeks of training, tobacco interventions during this period might be more effective. Our findings can be used to tailor interventions to prevent tobacco use in the U.S. military., (© Association of Military Surgeons of the United States 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: This study aimed to assess whether a counselor-initiated (CI) adaptation of the Look AHEAD (Action for Health in Diabetes) intensive lifestyle intervention in a military setting was cost-effective relative to a self-paced (SP) adaptation., Methods: A cost-effectiveness analysis from a payer perspective was performed alongside a 2014-2017 randomized behavioral weight loss trial among 248 active-duty military personnel stationed at a US Air Force base in Texas. Incremental cost-effectiveness ratios were calculated for weight loss, reductions in waist circumference, and quality-adjusted life-years (QALYs)., Results: After 12 months, the CI adaptation cost more per participant compared with the SP adaptation ($1,081 vs. $120) but achieved greater weight loss (1.86 kg vs. 0.06 kg), greater reductions in waist circumference (1.85 cm vs. 0.48 cm), and more QALYs (0.871 vs. 0.856). The incremental cost-effectiveness ratio for the CI adaptation relative to the SP adaptation was $61,268 per additional QALY. At willingness-to-pay thresholds of $50,000 and $100,000 per QALY, the CI adaptation was 45% and 49% likely to be cost-effective, respectively., Conclusions: The CI delivery of the Look AHEAD Intensive Lifestyle Intervention may offer a cost-effective approach to tackle excess weight in the US military., (© 2019 The Obesity Society.)

Competing Interests: Competing Interests. The authors declare that they have no conflicts of interest.

Introduction: Despite weight and fitness requirements, the prevalence of overweight and obesity in the U.S. military approaches that in the general population. The purpose of this study is to assess trends in anthropometric measurements shortly after military enlistment., Methods: This longitudinal study evaluated the change in objectively measured body weight and waist circumference in the population of U.S. Air Force members who enlisted in 2012-2013 and graduated from Basic Military Training (n=49,466). Individuals were followed for 4 years or until they left the military, for a mean follow-up of 1,218 (SD=261) days. Data were collected in 2018 and analyzed in 2019., Results: Among Basic Military Training graduates with available and plausible baseline data (n=46,706), weight increased incrementally by a mean of 1.5-1.8 kg per year and waist circumference by 0.3-1.1 cm per year. Over the 4-year period, total mean weight gain was 6.6 (SD=7.7) kg and waist circumference increase was 3.1 (SD=6.4) cm. Male graduates gained 7.0 (SD=7.7) kg and female graduates gained 4.7 (SD=7.5) kg. Of those who stayed in the military for 4 years, 37.3% transitioned to a higher BMI category (i.e., from normal to overweight/obese or from overweight to obese), whereas 3.9% transitioned to a lower category., Conclusions: Future research is needed to understand determinants of unhealthy weight gain and the association between weight gain and physical fitness among young adults embarking on a military career., (Published by Elsevier Inc.)

We examined the U.S. holiday period impact on weight gain, self-weighing, and treatment success among adults in a weight loss intervention (N=171). Using electronic scales, body weight and self-weighing frequency were compared by time period [i.e., pre-holiday, holiday (November 15-January 1), post-holiday]. Self-weighing was less frequent during holiday period (p<.01), and longer intervention engagement was associated with weight gain (p<.0001) during this time. Enrollment during holiday period was associated with 2.3% 12-month weight loss. Holiday period enrollment might be beneficial for preventing holiday weight gain and facilitating successful intervention outcomes., (Published by Elsevier Ltd.)

Objective: The current study aimed to determine whether electronic scale (e-scale) weight measurements are concordant with in-person clinic weights., Methods: E-scale and in-person clinic weight measurements from 248 active duty military personnel enrolled in a weight-loss intervention study were used. E-scale and clinic measurements were matched and tested to determine whether measurements were significantly different from each other. Equivalence between the two measurements was tested among the cohort and when stratifying by gender, BMI, race, and age. The study also examined whether matching the times of clinic and e-scale measurements or averaging multiple measurements was optimal, and whether using e-scale and clinic measurements from the same day or across a specified amount of time was acceptable., Results: Overall, e-scale and clinic measurements were significantly different from each other but did not differ from equality. Additionally, using e-scale and clinic weight measurements that were taken on the same day may be a preferable method compared with using measurements within a week of each other, which leads to weight underprediction among e-scale measurements., Conclusions: E-scales display good measurement concordance. E-scales may be helpful when studying highly mobile populations, such as military personnel, and could potentially eliminate the need for in-person visits., (© 2019 The Obesity Society.)

Introduction: Effective recruitment and subsequent enrollment of diverse populations is often a challenge in randomized controlled trials, especially those focused on weight loss. In the civilian literature, individuals identified as racial and ethnic minorities, men, and younger and older adults are poorly represented in weight loss interventions. There are limited weight loss trials within military populations, and to our knowledge, none reported participant characteristics associated with enrollment. There may be unique motives and barriers for active duty personnel for enrollment in weight management trials. Given substantial costs and consequences of overweight and obesity in the U.S. military, identifying predictors and limitations to diverse enrollment can inform future interventions within this population. The study aims to describe the recruitment, screening, and enrollment process of a military weight loss intervention. Demographic and lifestyle characteristics of military personnel lost between screening and randomization are compared to characteristics of personnel randomized in the study and characteristics of the Air Force in general., Materials and Methods: The Fit Blue study, a randomized controlled behavioral weight loss trial for active duty personnel, was approved by the Institutional Review Board of the Wilford Hall Ambulatory Surgical Center in San Antonio, TX, USA and acknowledged by the Institutional Review Board at the University of Tennessee Health Science Center. Logistic regressions compared participant demographics, anthropometric data, and health behaviors between personnel that attended a screening visit but were not randomized and those randomized. Multivariable models were constructed for the likelihood of being randomized using a liberal entry and stay criteria of 0.10 for the p-values in a stepwise variable selection algorithm. Descriptive statistics compared the randomized Fit Blue cohort demographics to those of the U.S. Air Force., Results: In univariate analyses, older age (p < 0.02), having a college degree or higher (p < 0.007) and higher military rank (p < 0.02) were associated with completing the randomization process. The randomized cohort reported a lower percentage of total daily kilocalories for fat compared to the non-randomized cohort (p = 0.033). The non-randomized cohort reported more total minutes and intensity of physical activity (p = 0.073). In the multivariate model, only those with a college degree or higher were 3.2 times more likely to go onto randomization. (OR = 3.2, 95% CI = 2.0, 5.6, p < 0.0001). The Fit Blue study included a higher representation of personnel who identified as African American (19.4% versus 15.0%) and Hispanic/Latino (22.7% versus 14.3%) compared with the U.S. Air Force in general; however, men were underrepresented (49.4% versus 80.0%). TABLE I.Comparisons of Demographic Characteristics of Randomized Fit Blue Cohort to Screened Non-Randomized CohortFit Blue Randomized Participants (N = 248)Non-Randomized Cohort (N = 111)All Screened Participants (N = 359)p-ValueSex N (%)0.73 Male122 (49.2)52 (46.8)174 (48.5) Female126 (50.8)59 (53.2)183 (51.5)Age Mean (±SD) years34 (±7.5)32 (±6.7)33 (±7.3)0.02Race N (%)0.89 African American49 (19.8)22 (19.8)71 (19.8) Caucasian163 (65.7)75 (67.6)238 (66.3) Other36 (14.5)14 (12.2)50 (13.9)Ethnicity N (%)0.59 Hispanic/Latino56 (22.6)28 (25.2)84 (23.4) Non-Hispanic/Latino192 (77.4)83 (74.8)275 (76.6)Education N (%)<0.0001 Less than college degree123 (49.6)82 (73.9)205 (57.1) College degree or greater125 (50.4)29 (26.1)154 (42.9)Marital status N (%)0.83 Single/never married40 (16.1)20 (18)60 (16.7) Married/living as married169 (68.1)72 (64.9)241 (67.1) Separated/divorced39 (15.7)19 (17.1)58 (16.2)Number of additional adults in household N (%)0.82 046 (18.5)22 (19.8)68 (18.9) 1162 (65.3)73 (65.8)235 (65.5) 231 (12.5)14 (12.6)45 (12.5) 3 or more9 (3.6)2 (1.8)11 (3.1)Number of children in household N (%)0.56 091 (36.7)37 (33.3)128 (35.7) 159 (23.8)23 (20.7)82 (22.8) 257 (23)26 (23.4)83 (23.1) 3 or more41 (16.5)25 (22.5)66 (18.4)Years in service mean (± SD)12 (±6.6)11 (±6.1)12 (±6.4)0.20Military gradeaN (%)0.02 E1-E434 (13.7)19 (17.1)53 (14.8) E5-E6105 (42.3)58 (52.3)163 (45.4) E7-E952 (21)21 (18.9)73 (20.3) O1-O317 (6.9)9 (8.1)26 (7.2) O4-O639 (15.7)4 (3.6)43 (12)Branch0.68 Army4 (1.6)1 (0.9)5 (1.4) Air Force234 (94.4)105 (94.6)339 (94.4) Navy8 (3.2)5 (4.5)13 (3.6) Marine Corp2 (0.8)0 (0.0)2 (0.6)BMI (m2/kg) N (%)30.6 (±2.7)30.4 (±2.9)30.6 (±2.8)BMI category N (%)0.76 Overweight115 (46.4)52 (48.1)167 (46.9) Obese133 (53.6)56 (51.9)189 (53.1)aMilitary ranking; Enlisted (E) categories: E1-E4 (enlisted), E5-E6 (non-commissioned officers), E7-E9 (senior non-commissioned officers) and two Officer categories (O): O1-O3 (Company Grade Officer) and O4-O6 (Field Grade Officer); standard deviation (SD).Table II.Comparisons of Anthropometric Characteristics of Randomized Fit Blue Cohort to Screened Non-Randomized CohortFit Blue Randomized Participants (N = 248)Non-Randomized Cohort (N = 111)All Screened Participants (N = 359)p-ValuePhysical activity Total physical activity2525 (±3218)2840 (±2541)2621 (±3028)0.027 (mean (±SD) minutes per week) Total sedentary physical activity5046 (±239)472 (±221)494 (±234)0.35 (mean (±SD) minutes per week) Vigorous physical activity34 (±145)54 (±152)40 (±147)0.036 (mean (±SD) minutes per week)Dietary intake Total sweetened beverages (kcal per day)165 (±206)152.9 (±166)160.8 (±194)0.80 Fruit and vegetable consumption (cups per day)3 (±1)3 (±1)3 (±1)0.52 Dietary fat (% total kcal)35 (±4)34 (±4)35 (±4)0.033., Conclusions: Accounting for all influencing characteristics, higher educational status was the only independent predictor of randomization. Perhaps, highly educated personnel are more invested in a military career, and thus, more concerned with consequences of failing required fitness tests. Thus, it may be important for future weight loss interventions to focus recruitment on less-educated personnel. Results suggest that weight loss interventions within a military population offer a unique opportunity to recruit a higher prevalence of males and individuals who identify as racial or ethnic minorities which are populations commonly underrepresented in weight loss research., (© Association of Military Surgeons of the United States 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

This study examined gender, prior tobacco use, and social-environmental factors as predictors of intentions to use tobacco (cigarette smoking and/or smokeless tobacco [ST]) after a forced period of abstinence among U.S. Air Force (USAF) trainees. Trainees completed 8½ weeks of basic military training (BMT), then 4 weeks of Technical Training; both required abstinence from tobacco. A cross-sectional survey of 13,514 USAF trainees (73% male, 90% age 18-24, 43% prior tobacco use) was conducted at the beginning of the 4-week Technical Training period. Overall, 17% of the sample reported future tobacco use intentions. Intentions for future tobacco use were less prevalent among non-tobacco users before BMT (1%) than those reporting any tobacco use (37%). From a multivariable logistic regression model predicting intentions to use any tobacco after Technical Training, significant two-way interaction effects were detected between gender, and tobacco use prior to BMT ( p  = 0.0001), and number of close friends who smoked cigarettes ( p  = 0.018), and number of close friends who used ST ( p  = 0.029). Among non-tobacco users before BMT, females were more than twice as likely as males to report tobacco intentions (Odds Ratio = 2.2, Bonferroni corrected 95% CI: 1.14.4, p  = 0.011); no gender differences were detected among tobacco users. For females, but not males, having more friends who smoked was associated with greater likelihood of tobacco intentions (Bonferroni corrected p  ≤ 0.05). In contrast, for males, but not females, having more friends using ST was associated with greater likelihood of tobacco intentions (Bonferroni corrected p  < 0.05). In this sample of USAF trainees, the study provides novel findings on how males and females are influenced differently by their prior tobacco use and peers' tobacco use in predicting tobacco intentions. Prevention efforts focused on uptake and resumption of tobacco use, along with gender-specific strategies, may be warranted.

Background: The first year of military service in the United States Air Force (USAF) is a high-risk time for tobacco use. Previous studies have demonstrated the effectiveness of a tobacco ban during Basic Military Training (BMT). However, no studies have examined the effect of increasing the protracted ban for an additional 4 weeks. Understanding the patterns of initiation and reinitiation following the protracted ban will inform future intervention and policy efforts. Methods: The current study examines patterns of cigarette smoking among a sample of 2188 USAF personnel at baseline and after their first year of service. Results: One year after BMT, we observed that 65.0% of USAF enlistees remained never smokers, 9.6% remained abstinence from cigarettes, 9.3% initiated cigarette smoking, and 16.1% reinitiated cigarette smoking. Despite the extended tobacco ban in BMT and Technical Training, 12.6% of individual who never smoked initiated cigarette smoking and 62.6% of individuals who formerly smoked reinitiated. Over half (54.2%) of Airmen who reported smoking cigarettes at follow-up reported initiating or reinitiating during Technical Training. Conclusions: Our findings indicate that although the increased ban prevents additional individuals who smoked cigarettes prior to joining the Air Force from reinitiating, it has no effect on initiation among individuals who report never using prior to military service. Additional research is needed to understand what may be leading to these high rates of initiation and reinitiation in Technical Training following the ban.

Purpose: To determine the characteristics associated with cancer survivors which indicate continued cigarette smoking at or around the time of cancer diagnosis., Methods: A total of 631 survivors were recruited in four cancer centers in Memphis, TN, between March 2015 and June 2016. To increase the probability of accurate reporting, surveys were conducted anonymously. A total of 112 respondents reported they were current smokers and 202 reported they were former smokers (n = 314), who comprised the sample., Results: We found that the rate of daily e-cigarette use among cancer survivors who smoked was 15.2% versus 3.9% in cancer survivors who no longer smoked. The national rate of adult e-cigarette use is 3.5%. Multivariate models correlated the characteristics of current versus former smokers and revealed that increasing age (aOR = 0.97, p < .0001), decreasing education (aOR = 2.39, p < .02), and current use of e-cigarettes (aOR = 3.74, p < .00045) were frequently associated with current cigarette smoking., Conclusions: While age and gender were associated with continued smoking, current use of e-cigarettes was associated with almost four times higher odds of being a current smoker. Further research is needed to determine if use of e-cigarettes deters or promotes the smoking cessation process, at least in cancer survivors., Implications for Cancer Survivors: Among cancer survivors who continue to smoke after a cancer diagnosis, use of e-cigarettes is highly prevalent; research is needed to determine whether use of e-cigarettes promotes, has no effect, or hinders smoking cessation efforts among this vulnerable population.

Objective: The purpose of this study, "Fit Blue," was to compare a translation of the Look AHEAD (Action for Heath in Diabetes) intensive lifestyle intervention with a self-paced version of the same intervention among active duty military personnel., Methods: Active duty military personnel (N = 248; 49% male, 34% racial minority) with overweight or obesity were randomized to 12-month distance-based (i.e., phone and email) parallel programs, counselor-initiated (CI) condition or self-paced (SP) condition, from 2014 to 2016. Trained lay interventionists were retired military personnel or had extensive familiarity with the military., Results: The CI condition had greater weight loss at 4 months (CI: mean ± SD = -3.2 ± 3.4 kg; SP: -0.6 ± 2.9 kg; P < 0.0001) and at 12 months (CI: mean ± SD = -1.9 ± 4.1 kg; SP: -0.1 ± 3.8 kg; P < 0.001). Participants in the CI condition also had a greater percent weight loss at both 4 months (CI: 3.5% ± 3.8, SP: 0.6% ± 3.1; P < 0.0001) and 12 months (CI: 2.1% ± 4.7, SP: 0.0% ± 4.0; P < 0.001). In addition, a greater proportion of CI participants lost 5% or more at 4 months (CI: 29.8%, SP: 10.5%; P < 0.001) and at 12 months (CI: 29.5%, SP: 15.6%; P < 0.05)., Conclusions: The CI behavioral weight loss intervention translated from Look AHEAD was well received and is a promising approach for managing weight in an active duty military population., (© 2018 The Obesity Society.)

Introduction: Brief health prevention programs have been shown efficacious in prevention of tobacco use initiation and re-initiation in the US Air Force. In this manuscript we apply a comparative effectiveness assessment of two published studies, based on testing the equality of effect sizes for perceived harm and intentions-to-use for five tobacco products., Methods: We calculate and compare the effect sizes from the brief tobacco intervention (BTI) study (N=1055) with those of the anti-tobacco media campaign (MEDIA) study (N=665), for perceived harm and intentions-to-use of cigarettes, smokeless tobacco, cigarillos, e-cigarettes and hookah, among Airmen in the US Air Force Technical Training. Univariate and multivariate parametric and non-parametric methods and models were applied to compare the outcomes between the interventions. In addition, we calculate and report the cost of each intervention per Airman., Results: Effect sizes for perceived harm were 0.24-0.99 for BTI and 0.17-0.33 for MEDIA, while intentions-to-use effect sizes were 0.14-0.34 for BTI and 0.01- 0.07 for MEDIA, depending on the product. BTI intervention effects sizes were significantly greater than MEDIA intervention for all products, mainly among past users, and for both perceived harm (all p<0.0001) and intentions-to-use (all p<0.01). Cost per Airmen was comparable between the two interventions, $14.90 for BTI and $16.52 for MEDIA., Conclusions: Direct comparison suggests that BTI produced effect sizes of significantly higher magnitude in the desired direction for perceived harm and intentions-to-use, for five tobacco products most commonly used by the Airmen, and mainly among past users., Competing Interests: Authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported.

Background: Those currently serving in the military constitute a vulnerable population given their high-risk status for substance use, and population data suggest that veterans continue to engage in significant substance use long after their military service ends. Recent research suggests that the separation transition from active duty to civilian life may be critical in terms of the future functioning of the veteran., Methods: We sought to explore substance use prevalence, as well as potential emotional distress among veterans by retrospectively assessing substance use during active duty and following separation to examine possible changes in use over this period. This study assessed substance use and emotional distress in veterans (N = 80; 90% male) across the military to civilian transition., Findings: Repeated measures tests indicated that endorsement of alcohol use, cigarette use, and prescription drug misuse was similar during active duty and post-separation, and marijuana and hard drug use endorsement increased significantly in the 6-mo period post-separation. Further, comorbid use of different substances was common. Active duty levels of anxiety/depression and aggressive feelings were maintained from active duty to post-separation, and feeling alone and military-based trauma symptoms increased significantly. Finally, participants indicated that only a minority of the veterans they knew were doing emotionally well or did not have alcohol/substance use issues., Discussion: These findings indicate a clear need for substance use and psychological intervention availability before and after transition to enable veterans to transition to civilian life effectively. Based on the many issues at work during the transition process, programs may do well to focus more specifically on identification of problems and raising awareness, rather than awaiting more severe issues in the future. Validation of the difficulties of the separation transition, veterans' feelings of isolation, and the importance of veteran community support may help newly transitioning veterans find advocates who may help them navigate existing assistance programs.

Introduction: Rates of overweight and obesity among Active Duty Military Personnel remain high despite fitness test requirements, negative consequences of fitness test failure, and emphasis on weight and appearance standards. Specific motivating factors for weight loss influence weight loss program interest and often differ by gender, race, ethnicity, or age. This study investigates the weight loss motivations endorsed by a diverse population of Active Duty Military Personnel initiating a behavioral weight loss study, to inform the development of future recruitment efforts and program development., Materials and Methods: Active Duty Military Personnel (n = 248) completed a 16-item questionnaire of weight loss motivations before initiating a behavioral weight loss study. We evaluated endorsement patterns by demographic characteristics (body mass index [BMI], gender, race, ethnicity, age, and military rank). Data collection for this study was approved by the Institutional Review Board of Wilford Hall Ambulatory Surgical Center and acknowledged by the Institutional Review Board of the University of Tennessee Health Science Center., Results: Results indicated that improved physical health, improved fitness, improved quality of life, and to live long were endorsed as "very important" motivations by at least three-fourths of the sample. "To pass the fitness test" was endorsed less frequently as a "very important" motivation, by 69% of the sample. A greater proportion of women as compared to men endorsed being very motivated by improving mood/well-being, quality of life, physical mobility, job performance, appearance, and sex life, as well as fitting into clothes. Participants categorized in the "Other" racial group and African Americans more frequently endorsed motivations to improve fitness and physical strength when compared to Caucasians. Moreover, participants in the "Other" race category were significantly more likely to rate their ability to physically defend themselves, improve physical mobility, and improve interactions with friends as motivators. Participants who identified as Hispanic endorsed significantly higher frequency of being motivated to improve their ability to physically defend themselves, interactions with friends, physical mobility, and sex life compared to those who identified as non-Hispanic. A significantly lower percentage of officers of lower rank (i.e., O1-3) endorsed being motivated to improve their quality of life. Improving confidence was a significant motivator for younger and lower ranking enlisted personnel (i.e., E1-4). Younger participants were also significantly more likely to want to improve their ability to physically defend themselves., Conclusion: We conclude that overweight and obese Military Personnel are motivated by various reasons to engage in weight loss, including their military physical fitness test. Findings may assist the development of recruitment efforts or motivationally focused intervention materials for weight loss interventions tailored for the diverse population of Active Duty Military Personnel., (Reprint & Copyright © 2017 Association of Military Surgeons of the U.S.)

Military deployment can create significant relationship strain. Although most couples navigate the challenges of deployment successfully, this period may render some couples more vulnerable to adverse relationship outcomes such as infidelity due to a convergence of factors including geographic separation and reduced emotional and physical intimacy. Despite anecdotal reports of increased rates of infidelity during deployment, empirical findings are lacking. This study used a prospective design to examine the prevalence and risk factors of infidelity across the deployment cycle including a year-long deployment to Iraq. A total of 63 married male Airmen were assessed both pre- and 6-9 months postdeployment. The rate of sexual infidelity prior to deployment (21%) was commensurate with the lifetime rate of sexual involvement outside the marriage in representative community samples of men. Across the deployment period, the prevalence of sexual infidelity was strikingly high (22.6%) compared with annual community estimates (1.5-4%; Allen et al., 2005). Findings demonstrated that service members with a prior history of separation, steps toward divorce, and relationship distress prior to deployment had elevated risk for infidelity over the deployment cycle. Moreover, roughly 75% of Airmen who experienced infidelity over the deployment cycle divorced by 6-9 months postdeployment whereas only 5% of service members without infidelity divorced during this same time period. Considering well-documented adverse impacts of infidelity and divorce, the current findings may assist in identifying military couples at risk for infidelity and informing targeted prevention or early intervention strategies for these couples prior to or immediately following deployment. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)