Reaching adults who smoke cigarettes in rural Appalachia: Rationale, design & analysis plan for a mixed-methods study disseminating pharmacy-delivered cessation treatment.

INTRODUCTION: Unlike other U.S. geographical regions, cigarette smoking prevalence remains stagnant in rural Appalachia. One avenue for reaching rural residents with evidence-based smoking cessation treatments could be utilizing community pharmacists. This paper describes the design, rationale, and analysis plan for a mixed-method study that will determine combinations of cessation treatment components that can be integrated within community pharmacies in rural Appalachia. The aim is to quantify the individual and synergistic effects of five highly disseminable and sustainable cessation components in a factorial experiment. METHODS: This sequential, mixed-method research design, based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, will use a randomized controlled trial with a 25 fully crossed factorial design (32 treatment combinations) to test, alone and in combination, the most effective evidence-based cessation components: (1) QuitAid (yes vs. no) (2) tobacco quit line (yes vs. no) (3) SmokefreeTXT (yes vs. no) (4) combination NRT lozenge + NRT patch (vs. NRT patch alone), and (5) eight weeks of NRT (vs. standard four weeks). RESULTS: Logistic regression will model abstinence at six-months, including indicators for the five treatment factors and all two-way interactions between the treatment factors. Demographic and smoking history variables will be considered to assess potential effect modification. Poisson regression will model quit attempts and percent of adherence to treatment components as secondary outcomes. CONCLUSION: This study will provide foundational evidence on how community pharmacies in medically underserved, rural regions can be leveraged to increase utilization of existing evidence-based tobacco cessation resources for treating tobacco dependence. CLINICAL TRIALS: NCT05660525.

Use of Tobacco for Weight Control across Products among Young Adults in the U.S. Military.

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.

'I Think Smoking's the Same, but the Toys Have Changed.' Understanding Facilitators of E-Cigarette Use among Air Force Personnel.

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.

Enhancing group-based internet obesity treatment: A pilot RCT comparing video and text-based chat.

OBJECTIVE: Internet delivery of behavioural weight control interventions offers potential for broad geographic reach and accessibility, but weight losses online fall short of those produced with the same programme delivered in-person. This pilot study examined feasibility and preliminary efficacy of a video-based platform for delivering weekly chat as part of a 6-month, 24-session online group behavioural weight control programme compared with the established text-based format, which has produced the best online weight losses to date. METHOD: Women with obesity (N = 32) were randomized to either (a) weekly video group chat sessions and provided with a cellular-enabled scale (Video) or (b) Text-based weekly chat sessions and given a digital scale (Text) and followed for 6 months to determine weight loss and treatment engagement. RESULTS: Women randomized to the ideo condition lost more weight than those in the Text condition (-5.0 ± 6.0% vs. -3.0 ± 4.1%, respectively) at 6 months, although the difference was not statistically significant. However, women in the Video condition had significantly greater treatment engagement, with greater self-monitoring and website utilization than those in the Text condition. CONCLUSIONS: Videoconference delivery of group-based online weight control accompanied by a cellular-connected scale may promote greater treatment engagement and weight loss than text-based chat. A larger, adequately powered study is warranted to determine which elements drive these enhanced treatment outcomes.

eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta-analysis.

A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17 September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n = 139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n = 55) of interventions used more than one type of technology, and 43.2% (n = 60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P < 0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P < 0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P < 0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.

Examining social influence on participation and outcomes among a network of behavioral weight-loss intervention enrollees.

Research suggests that social networks, social support, and social influence are associated with weight trajectories among treatment- and non-treatment-seeking individuals. This study examined the impact of having a social contact who participated in the same group behavioral weight-control intervention in the absence of specific social support training on women engaged in a weight-loss program. Participants (n = 92; 100% female; 54% black; mean age: 46 ± 10 years; mean BMI: 38 ± 6) were grouped based upon whether or not they reported a social contact enrolled previously/concurrently in our behavioral weight-control studies. Primary outcomes were 6-month weight change and treatment adherence (session attendance and self-monitoring). Half of the participants (53%) indicated that they had a social contact; black women were more likely to report a social contact than white women (67.3% versus 39.5%; P < 0.01). Among participants with a social contact, 67% reported at least one contact as instrumental in the decision to enroll in the program. Those with a contact lost more weight (5.9 versus 3.7 kg; P = 0.04), attended more group sessions (74% versus 54%; P < 0.01), and submitted more self-monitoring journals (69% versus 54%; P = 0.01) than those without a contact. Participants' weight change was inversely associated with social contacts' weight change (P = 0.04). There was no association between participant and contact's group attendance or self-monitoring. Social networks may be a promising vehicle for recruiting and engaging women in a behavioral weight-loss program, particularly black women. The role of a natural social contact deserves further investigation.

Detecting incomplete effort on the MMPI-2: an examination of the Fake-Bad Scale in mild head injury.

The current study is an investigation of the MMPI-2 Fake Bad Scale ( FBS ) in the detection of incomplete effort in mild head injury (MHI). Using ROC curve analysis, we found that a cutoff score of 21 had a sensitivity of 90% and specificity of 90%, providing an overall correct classificatory rate of 90%. In addition, traditional indices of faking bad on the MMPI-2, the F and F-K indices, fared relatively poorly by comparison and added no predictive power over the FBS. Finally, multivariate analyses revealed that although the FBS shares a number of items with Hs and Hy scales, the FBS carried the majority of variance in predicting incomplete effort in our MHI sample. Overall, these findings indicate that the FBS has high sensitivity and specificity in identifying incomplete effort in mild head injury.

The Memory Assessment Scales in the detection of incomplete effort in mild head injury.

Despite differences in the constructs measured, the Memory Assessment Scales (MAS) remain an alternative to the Wechsler Memory Scales (WMS) as a broad-band instrument for assessing multiple aspects of attention and memory. Although a number of studies have examined indices of the WMS as indicators of malingering, few studies have similarly investigated the MAS. In this study, we examined the degree to which the MAS was effective in detecting incomplete effort in a clinical sample of patients referred for neuropsychological evaluation after mild head injury. Included in the sample were 21 financially compensable (FC) participants with alleged mild head injury and 21 participants who were not involved in litigation and suffered more serious head injuries. Examination of the four MAS domain indices indicated that Short-Term Memory was most useful at identifying incomplete effort. We also examined subscales of the MAS. Consistent with previous findings, brief tests such as Verbal and Visual Span had high rates of diagnostic sensitivity and specificity. Although tests based on a forced-choice recognition paradigm (e.g., Immediate and Delayed Visual Recognition) predicted group membership above chance levels, they failed to significantly add to prediction above Verbal and Visual Span subtests.