An Evaluation of the Process and Quality Improvement Measures of the University of Virginia Cancer Center Tobacco Treatment Program

Tobacco use after a cancer diagnosis can increase risk of disease recurrence, increase the likelihood of a second primary cancer, and negatively impact treatment efficacy. The implementation of system-wide comprehensive tobacco cessation in the oncology setting has historically been low, with over half of cancer clinicians reporting that they do not treat or provide a referral to cessation resources. This quality improvement study evaluated the procedures for assessing and documenting tobacco use among cancer survivors and referring current smokers to cessation resources at the University of Virginia Cancer Center. Process mapping revealed 20 gaps across two major domains: electronic health record (EHR), and personnel barriers. The top identified priority was inconsistent documentation of tobacco use status as it impacted several downstream gaps. Eleven of the 20 gaps were deemed a high priority, and all were addressed during the implementation of the resulting Tobacco Treatment Program. Prioritized gaps were addressed using a combination of provider training, modifications to clinical workflow, and EHR modifications. Since implementation of solutions, the number of unique survivors receiving cessation treatment has increased from 284 survivors receiving cessation support during Year 1 of the initiative to 487 in Year 3. The resulting Tobacco Treatment Program provides a systematic, personalized, and sustainable comprehensive cessation program that optimizes the multifaceted workflow of the Cancer Center and has the potential to reduce tobacco use in a population most in need of cessation support.

When, How, & Where Tobacco Initiation and Relapse Occur During U.S. Air Force Technical Training

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.

Characteristics Associated With Participation in a Behavioral Weight Loss Randomized Control Trial in the U.S. Military

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.

Factors Associated with Cigarette Use During Airmen's First Year of Service in the United States Air Force

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.

Cost-Effectiveness of a Weight Loss Intervention: An Adaptation of the Look AHEAD Lifestyle Intervention in the US Military

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.

Measurement Equivalence of E-Scale and In-Person Clinic Weights

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.

Do the holidays impact weight and self-weighing behaviour among adults engaged in a behavioural weight loss intervention?

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.

Substance Use and Psychological Distress Before and After the Military to Civilian Transition

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.

Predicting cigarette initiation and reinitiation among active duty United States Air Force recruits

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.

Influence of gender and peer tobacco use on tobacco use intentions after a period of involuntary tobacco abstinence among U.S. Air Force trainees

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.

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Prior tobacco use predicts tobacco use intentions among U.S. Air Force trainees.

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Male and female trainees are influenced differently by their peers' tobacco use.

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Gender-specific strategies targeting social norms about tobacco may be warranted.

Fit & quit: An efficacy trial of two behavioral post-cessation weight gain interventions

While smoking cessation leads to significant improvements in both mortality and morbidity, post-cessation weight gain partially attenuates this benefit. Even though post-cessation weight gain is small (4.7 kg on average), it is a stated reason to delay cessation attempts and is associated with smoking relapse. Fit & Quit is a randomized, controlled efficacy trial that aims to examine the ability of a weight stability intervention and a weight loss intervention to reduce post-cessation weight gain. For this purpose, Fit & Quit will randomize participants to three conditions: (a) Small Changes, a weight gain prevention intervention; (b) Look AHEAD Intensive Lifestyle Intervention; and (c) a lower-intensity bibliotherapy intervention. All conditions will receive a highly efficacious behavioral (i.e., rate reduction skills, motivational interviewing) and pharmacological (i.e., varenicline) smoking cessation program. A total of 400 participants will be recruited and randomized to the three interventions. Participants will be recruited in waves, with 10 waves of approximately 40 participants per wave. The primary outcomes of this study include post-cessation weight gain and cessation status at 12-month follow-up. Fit & Quit will integrate and adapt the strongest evidence-based interventions available for weight management and smoking cessation. Fit & Quit is highly innovative in the areas of the target population, study design, and use of technology. For these reasons, we expect that Fit & Quit will make a significant public health contribution to curtailing the important cessation barrier of post-cessation weight gain.

Correlates of smoking status in cancer survivors

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.

Dissemination of the Look AHEAD Intensive Lifestyle Intervention in the United States Military: A Randomized Controlled Trial

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.

Changes in the Perceptions of Self-weighing Across Time in a Behavioral Weight Loss Intervention

OBJECTIVE

Changes in beliefs about self-weighing were examined across time in a behavioral weight loss intervention.

METHODS

Active duty military personnel (n = 248) enrolled in a 12-month counselor-initiated or self-paced intervention based on the Look AHEAD (Action for Health in Diabetes) Intensive Lifestyle Intervention. Using an electronic scale, participants were asked to self-weigh daily. Self-weighing perceptions were compared from baseline to 4 months (weight loss phase), from 4 months to 12 months (weight maintenance phase), and from baseline to 12 months (full intervention), as well as across time by behavioral and demographic characteristics.

RESULTS

Overall, participants perceived self-weighing as more helpful and positive, less frustrating, and making them less self-conscious after the weight loss phase. After weight maintenance, individuals believed self-weighing was less helpful and positive, more frustrating and anxiety provoking, and making them more self-conscious. However, after the intervention, participants still viewed self-weighing as more helpful and positive and less frustrating than at baseline. Weight change, self-weighing behavior prior to the intervention, and intervention condition were associated with perception change. Controlling for these influencing factors, differences in gender, BMI, age, ethnicity, and race were observed in how beliefs changed across time.

CONCLUSIONS

Results suggest engaging in a weight loss intervention promoting daily self-weighing increases positive and decreases negative beliefs about self-weighing.

The comparative effectiveness of two brief tobacco interventions in the U.S. Air Force: Perceived harm and intentions-to-use of tobacco products

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.

Planning a Change Easily (PACE): A randomized controlled trial for smokers who are not ready to quit

Smoking cessation programs are efficacious and have been validated to assist the 10% to 30% of smokers who are ready to quit in the next 30 days. While the majority of smokers want to quit smoking in the future, only 69% are planning to quit within the next year. Planning a Change Easily (PACE) is a nation-wide, telephone-based comparative effectiveness, randomized controlled trial for smokers not ready to quit (SNRTQ). This project, as well as its intervention components, outcomes, and hypotheses are discussed. This study will compare the effectiveness of four intervention conditions that could potentially help SNRTQ to quit smoking: Brief Advice, Motivational Interviewing, Rate Reduction, and Motivational Interviewing plus Rate Reduction combined. Rate Reduction conditions will include the provision of nicotine replacement therapy in the form of gum. Approximately 840 participants will be recruited and randomized to the four intervention conditions. The main outcomes for this study include self-report prolonged and point prevalence abstinence with biochemical verification of cessation. Secondary outcomes include quit attempts, cost-per-quit, and cost-effectiveness analyses. Informed by evidenced-based interventions, strong clinical guidelines, and economic analysis, PACE has the potential for significant public health impact. Results could readily be disseminated and translated to tobacco quitlines, which are present in all 50 states and are offered free to the public.

Why Don't Cancer Survivors Quit Smoking? An Evaluation of Readiness for Smoking Cessation in Cancer Survivors

Background

Cancer survivors have a high rate of participation in cigarette-smoking cessation programs but their smoking-abstinence rates remain low. In the current study, we evaluated the readiness to quit smoking in a cancer-survivor population.

Methods

Cross-sectional data survey conducted among 112 adult cancer survivors who smoked cigarettes in Tennessee. Analyses were conducted using a two-sample t-test, χ² test, Fishers Exact test, and multivariable logistic regression with smoker’s readiness to quit as the dependent variable. We operationally defined a smoker not ready to quit as anyone interested in quitting smoking beyond the next 6 months or longer (or not at all), as compared to those that are ready to quit within the next 6 months.

Results

Thirty-three percent of participants displayed a readiness to quit smoking in the next 30 days. Smokers ready to quit were more likely to display high confidence in their ability to quit (OR = 4.6; 95% CI, 2.1–9.7; P < 0.0001) than those not ready to quit. Those ready to quit were nearly five times more likely to believe smoking contributed to their cancer diagnosis (OR = 4.9; 95% CI, 1.1–22.6; P = 0.0432). Those ready to quit were also much more likely to attempt smoking cessation when diagnosed with cancer (OR = 8.9; 95% CI, 1.8–44.3; P = 0.0076) than smokers not ready to quit. Finally, those ready to quit were more likely to endorse smoking more in the morning than other times of the day, compared to those not ready to quit (OR = 7.9; 95% CI, 1.5–42,3; P = 0.0148), which increased odds of readiness to quit within the next 6 months.

Conclusions

Despite high participation in smoking-cessation programs for cancer survivors, only one-third of participants were ready to quit. Future research is needed to develop programs targeting effective strategies promoting smoking cessation among cancer survivors who are both ready and not ready to quit smoking.

Motivations for Weight Loss Among Active Duty Military Personnel

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.

Step Care treatment for smoking cessation

We compared the effectiveness of a ‘stepped care’ approach with increasing treatment intensity (‘Step Care’) to one with repeated treatments (‘Recycle’) among cigarette smokers interested in quitting smoking. Step 1 of the Step Care intervention consisted of a single counseling session, nicotine patch for six weeks and telephonic contact. For smokers not achieving tobacco abstinence 6 months after randomization with Step 1, the intensity of the intervention increased to four counseling sessions, bupropion sustained-release, nine telephone calls and three mailings (Step 2). For those not achieving tobacco abstinence 12 months after randomization, smokers received six behavioral counseling sessions, nicotine patch and nicotine gum, nine telephone calls and three mailings (Step 3). The Recycle participants received one session of health behavior counseling, six weeks of the nicotine patch and a telephone call at each step. 270 cigarette smokers were randomized. At 24 months after randomization using an intention to treat analysis, no statistically significant difference was observed in prolonged smoking abstinence between the Step Care and Recycle condition (16.9% versus 9.4%; adjusted OR = 1.88; 95% CI 0.88–4.01; P =0.10). Additional research is needed to explore whether a stepped care intervention increases long-term smoking abstinence rates compared with repeating the same intervention.

Economic Analyses of an Alcohol Misconduct Prevention Program in a Military Setting

OBJECTIVE

The economic burden associated with alcohol misuse, in particular early attrition or discharge associated with alcohol-related incidents (ARIs), is significant in military settings. We assessed the potential economic benefit of a brief alcohol intervention program, the Alcohol Misconduct Prevention Program (AMPP), initially implemented at Joint Base San Antonio-Lackland Technical Training site for the U.S. Air Force (USAF) from October 1, 2010, to December 31, 2012.

METHODS

We conducted cost-effectiveness and cost-benefit analyses of the AMPP from the perspective of the USAF. Program effectiveness was measured as the number of ARIs avoided after the AMPP implementation, and program benefit was measured as the potential cost savings related to reductions in ARIs. One-way sensitivity analyses were conducted to examine the robustness of base case results.

RESULTS

The AMPP resulted in the avoidance of 59 ARIs which cost $9,869 for every ARI avoided. For every dollar invested in the AMPP, the USAF saved $4.09 in a conservative model without health effects, and saved $6.17 taking into account the potential health benefits. Our findings of favorable cost benefit were robust across sensitivity analyses.

CONCLUSIONS

Investing in the AMPP at other military bases is likely to produce substantial economic benefit.

Smokeless tobacco use among United States Air Force trainees

BACKGROUND

The prevalence of smokeless tobacco use in the United States Air Force (USAF) exceeds civilian use rates. The prevalence and correlates of smokeless tobacco use were assessed and evaluated in a sample of USAF trainees.

METHODS

We conducted a cross-sectional survey of USAF technical training school personnel at Joint Base San Antonio-Lackland and Fort Sam Houston (N = 14,810). Survey completion rate was 78%. Logistic regression was used to analyze the associations between demographic variables, tobacco use, and social factors for both regular and infrequent smokeless tobacco (e.g., chewing tobacco, snuff) users.

RESULTS

Overall, 16% of Airmen had ever used smokeless tobacco and 10% regularly used smokeless tobacco. In multivariate analyses, men had greater odds than women of regular smokeless tobacco use (adjusted odds ratio [OR] = 15.2; 95% confidence interval [CI]: 10.8-21.5) and infrequent smokeless tobacco use (adjusted OR = 4.2; 95% CI: 3.1-5.7). Smokeless tobacco use was associated with participation in high school sports (adjusted OR = 1.9; 95% CI: 1.6-2.3 for regular users; adjusted OR = 1.4; 95% CI: 1.1-1.7 for infrequent users), smoking cigarettes (adjusted OR = 4.3; 95% CI: 3.6-5.1 for regular users; adjusted OR = 4.0; 95% CI: 3.2-5.0 for infrequent users), or living with someone who used smokeless tobacco (adjusted OR = 2.2; 95% CI: 1.9-2.6 for regular users; adjusted OR = 1.4; 95% CI: 1.1-1.7 for infrequent users). Black or African Americans were less likely than whites to be regular (adjusted OR = 0.3; 95% CI: 0.1-0.4) or infrequent (adjusted OR = 0.3; 95% CI: 0.2-0.4) users of smokeless tobacco.

CONCLUSIONS

Smokeless tobacco use among incoming Air Force recruits is common and negatively impacts the Air Force's goal to be tobacco-free. Understanding sociodemographic characteristics perpetuating smokeless tobacco use in the Air Force population can inform the development of health promotion interventions.