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IntroductionSuboptimal and differential participant engagement in randomized trials-including retention at primary outcome assessments and attendance at intervention sessions-undermines rigor, internal validity, and trial conclusions.MethodsFirst, this study describes Methods-Motivational Interviewing approach and strategies for implementation. This approach engages potential participants before randomization through interactive, prerequisite orientation sessions that illustrate the scientific rationale behind trial methods in accessible language and use motivational interviewing to diffuse ambivalence about participation. Then, this study examines the potential improvements in retention (proportion of participants assessed at follow-up visits) and attendance (e.g., mean percentage of intervention sessions attended, percentage of participants who attended 0 sessions) in 3 randomized weight-management trials that quickly added prerequisite orientations to their protocols following early signs of suboptimal or differential participant engagement (Supporting Health by Integrating Nutrition and Exercise [2009-2013, n=194]; Get Social [2016-2020, n=217]; GestationaL Weight Gain and Optimal Wellness [2014-2018, n=389]). Using a pre-post analytical design, adjusted estimates from regression models controlling for condition and assessment timepoint (analyses from 2020) are reported.ResultsAfter adding prerequisite orientations, all 3 trials attained higher participant engagement. Retention at assessments was 11.4% and 17.3% higher (Get Social and Supporting Health by Integrating Nutrition and Exercise, respectively). Mean percentage of attendance at intervention sessions was 8.8% higher (GestationaL Weight Gain and Optimal Wellness), and 10.1% fewer participants attended 0 intervention sessions (Get Social). Descriptively, all the remaining retention and attendance outcomes were consistently higher but were nonsignificant. Across the trials, adding prerequisite orientations did not impact the proportion of eligible participants enrolled or the baseline demographics.ConclusionsThe Methods-Motivational Interviewing approach shows promise for increasing the rigor of randomized trials and is readily adaptable to in-person, webinar, and conference call formats.Trial registrationAll 3 trials are registered at www.clinicaltrials.gov (Supporting Health by Integrating Nutrition and Exercise: NCT00960414; Get Social: NCT02646618; and GestationaL Weight Gain and Optimal Wellness: NCT02130232).

Behavioral economics suggests that individuals are likely to engage in a behavior if it is more reinforcing and readily available than other possible options. In real-world environments, sedentary behaviors are often more reinforcing and easily available than physical activities. In order to promote regular physical activity in an environment with sedentary alternatives, it is important to understand the proportion of overall reinforcement that is derived from physical activity (i.e., relative reinforcement, RR). Conceptually similar laboratory-research supports this notion, but applications to individual, real-world environments remain understudied. The current study used a novel survey-based approach to estimate the RR of common physical activities. Healthy adults (N = 348, M age = 39.0 ± 8.7) from the United States completed an online survey between April-May 2020, including a modified activity survey with ten physically active and ten sedentary activities. Regression analysis showed that total RR of physical activity was related to greater physical activity levels when controlling for enjoyment and other covariates. Four factors were identified (household, conditioning, sports, and outdoor activities) using exploratory structural equation modeling, but internal consistency was limited when items were constrained to each factor in the structural equation model. Previous laboratory findings on overall RR of physical activity were replicated with the survey-based measure, but further improvement for relative reinforcement of different sub-domains of physical activity is needed. Researchers and practitioners can use this survey to determine attractive physical activities on the individual level that can compete with sedentary leisure activities., Author(s): Ricarda K. Foxx [sup.1] , Danielle E. Jake-Schoffman [sup.1] , Anne E. Mathews [sup.2] , JeeWon Cheong [sup.1] , Ali M. Yurasek [sup.1] Author Affiliations: (1) grid.15276.37, 0000 0004 [...]

Faith-based settings offer opportunities for reaching populations at risk for chronic conditions and are optimal settings for dissemination and implementation (D&I) research. "Faith, Activity, and Nutrition" (FAN) is an evidence-based program designed to promote physical activity (PA) and healthy eating (HE) through church policy, systems, and environmental change. We report implementation fidelity for Phase 1 of the FAN D&I project, a countywide effort. The group randomized study included pre- and postintervention assessments of core PA and HE components. We compared implementation in early intervention (n = 35) versus delayed intervention (control, n = 19) churches; assessed individual church implementation; and examined the effects of level of implementation on church member outcomes. Implementation assessments were conducted with the FAN coordinator via telephone survey. Study outcomes were assessed with church members 8 to 12 months following baseline assessment via self-administered surveys. We found significantly higher levels of implementation for PA opportunities, PA and HE guidelines, PA and HE messages, and PA and HE pastor support in intervention versus control churches and showed church-level variation in PA and HE implementation. PA self-efficacy varied by level of implementation; high and low implementers did not differ in proportion of church members physically inactive, although low implementers had fewer members inactive than controls. The high level of implementation in intervention churches shows promise for broader dissemination of FAN.

Background: Cigarette smoke exposure has been linked to systemic immune dysfunction, including for B-cell and immunoglobulin (Ig) production, and poor outcomes in patients with ovarian cancer. No study has evaluated the impact of smoke exposure across the life-course on B-cell infiltration and Ig abundance in ovarian tumors. Methods: We measured markers of B and plasma cells and Ig isotypes using multiplex immunofluorescence on 395 ovarian cancer tumors in the Nurses' Health Study (NHS)/NHSII. We conducted beta-binomial analyses evaluating odds ratios (OR) and 95% confidence intervals (CI) for positivity of immune markers by cigarette exposure among cases and Cox proportional hazards models to evaluate hazard ratios (HR) and 95% CI for developing tumors with low (+ among ever smokers (OR, 1.54; 95% CI, 1.14-2.07) and ever smokers with no parental smoke exposure (OR, 2.03; 95% CI, 1.18-3.49) versus never smokers. Women with parental cigarette smoke exposure versus not had higher risk of developing ovarian cancer with low IgG+ (HR, 1.51; 95% CI, 1.10-2.09), whereas ever versus never smokers had a lower risk (HR, 0.74; 95% CI, 0.56-0.99). Conclusions: Ever smoking was associated with increased odds of IgA in ovarian tumors. [ABSTRACT FROM AUTHOR]

Chronic diseases are common among adults. A healthy diet may be beneficial for managing the consequences of such conditions. The purpose of this study was to evaluate the effects of a self-directed nutrition program on dietary behaviors among adults with chronic health conditions. As part of a larger trial examining the effects of a self-directed exercise program, participants with arthritis were randomized to a 12-week self-directed exercise or nutrition intervention. Self-reported fruit and vegetable consumption, fat- and fiber-related behaviors were assessed at baseline, 12 weeks, and 9 months. Repeated measures analyses of covariance examined Group × Time changes in dietary behaviors. Effect sizes were computed. Participants (n = 321) were, on average, 56.5 ± 10.5 years old, had a mean body mass index of 32.9 ± 8.3 kg/m2, and had 2.0 ± 1.0 chronic health conditions; 88% were female, 65% White, 88% had at least some college education, and 62% married. There were significant Group × Time interactions favoring the nutrition group at 12 weeks for all dietary behaviors (p < 0.05) but not at 9 months. Between-group effect sizes were small at 12 weeks and decreased at 9 months. Within-group effect sizes were larger for the nutrition group (small to medium) than the exercise group (none to small) at both time points. A self-directed nutrition intervention can result in meaningful improvements in dietary behaviors among adults with chronic health conditions in the short term.

Organic online communities have shown potential for aiding weight loss, but few adults use them. We sought to test strategies to encourage adults to select and engage in online communities for weight loss. 4-week single-arm, mixed-methods pilot. Quantitative and qualitative data on selection of online community, engagement with community, and engagement and satisfaction with tasks. On average, participants (n = 25) were female (80.0%) and white (68.0%), 45.2 ± 18.1 years old, with a BMI of 36.2 ± 6.5 kg/m2. Selection of online community varied across participants (13 MyFitnessPal, 5 Facebook, 5 Reddit). In qualitative analyses, reasons for selection included experience with community, privacy considerations, and seeking people similar to them. Most tasks were fully or partially completed by a majority of participants (>80.0%). For most tasks, ∼50% of participants felt the task helped them with weight loss support. Variability in response was observed, especially between tasks that requested reading compared to posting/commenting in the community. Frequent reading of community content throughout the study was reported by >70.0% of participants, though posting/commenting was less frequent. Barriers to further engagement included concerns about privacy, judgement, and misinformation. This study provides insights about strategies for engaging individuals in online health communities. [ABSTRACT FROM AUTHOR]

BackgroundCommercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor their daily physical activity (PA), including the number of steps, type of PA, amount of sleep, and other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and their use in specific age groups across the life course is not well understood. ObjectiveThis narrative review aims to characterize how PA intervention studies across the life course use Fitbit devices by synthesizing and summarizing information on device selection, intended use (intervention vs measurement tool), participant wear instructions, rates of adherence to device wear, strategies used to boost adherence, and the complementary use of other PA measures. This review provides intervention scientists with a synthesis of information that may inform future trials involving Fitbit devices. MethodsWe conducted a search of the Fitabase Fitbit Research Library, a database of studies published between 2012 and 2018. Of the 682 studies available on the Fitabase research library, 60 interventions met the eligibility criteria and were included in this review. A supplemental search in PubMed resulted in the inclusion of 15 additional articles published between 2019 and 2020. A total of 75 articles were reviewed, which represented interventions conducted in childhood; adolescence; and early, middle, and older adulthood. ResultsThere was considerable heterogeneity in the use of Fitbit within and between developmental stages. Interventions for adults typically required longer wear periods, whereas studies on children and adolescents tended to have more limited device wear periods. Most studies used developmentally appropriate behavior change techniques and device wear instructions. Regardless of the developmental stage and intended Fitbit use (ie, measurement vs intervention tool), the most common strategies used to enhance wear time included sending participants reminders through texts or emails and asking participants to log their steps or synchronize their Fitbit data daily. The rates of adherence to the wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbit with additional objective or self-reported measures for PA. ConclusionsOverall, the heterogeneity in Fitbit use across PA intervention studies reflects its relative novelty in the field of research. As the use of monitoring devices continues to expand in PA research, the lack of uniformity in study protocols and metrics of reported measures represents a major issue for comparability purposes. There is a need for increased transparency in the prospective registration of PA intervention studies. Researchers need to provide a clear rationale for the use of several PA measures and specify the source of their main PA outcome and how additional measures will be used in the context of Fitbit-based interventions.

Since its earliest days, the field of behavioral medicine has leveraged technology to increase the reach and effectiveness of its interventions. Here, we highlight key areas of opportunity and recommend next steps to further advance intervention development, evaluation, and commercialization with a focus on three technologies: mobile applications (apps), social media, and wearable devices. Ultimately, we argue that future of digital health behavioral science research lies in finding ways to advance more robust academic-industry partnerships. These include academics consciously working towards preparing and training the work force of the twenty first century for digital health, actively working towards advancing methods that can balance the needs for efficiency in industry with the desire for rigor and reproducibility in academia, and the need to advance common practices and procedures that support more ethical practices for promoting healthy behavior., Author(s): Danielle Arigo [sup.1] , Danielle E. Jake-Schoffman [sup.2] , Kathleen Wolin [sup.3] , Ellen Beckjord [sup.4] , Eric B. Hekler [sup.5] , Sherry L. Pagoto [sup.6] Author Affiliations: (Aff1) [...]

Background: Group format weight loss interventions have benefits over individual format, but privacy concerns may limit their uptake. Method: In this study, adults with obesity and interest in losing weight were recruited nationally online and randomly assigned to view one of eight videos describing a hypothetical, group behavioral weight loss intervention. Based on three fully crossed factors, the videos varied on privacy features of intervention (present or not); matching participants to group based on weight loss barriers (matched or not); and intervention format (online or in-person). Participants rated their willingness to join, privacy concerns, and perceived effectiveness of these interventions. They further reported preference for individual or group format interventions and reason for preferences. Results: Description of privacy features, matching of participants, and format did not affect willingness to join, privacy concerns, or perceived effectiveness of the intervention. Privacy concerns were associated with lower willingness to join and lower perceived intervention effectiveness, and greater social anxiety and weight stigma. More participants preferred individual over group format (40.1% vs 33.9%; 26% selected neither) and preference for individual format was associated with greater privacy concerns. Conclusion: Strategies to address privacy concerns in group-based interventions warrant further attention. [ABSTRACT FROM AUTHOR]

Behavioral medicine training is due for an overhaul given the rapid evolution of the field, including a tight funding climate, changing job prospects, and new research and industry collaborations. The purpose of the present study was to collect responses from trainee and practicing members of a multidisciplinary professional society about their perceptions of behavioral medicine training and their suggestions for changes to training for future behavioral medicine scientists and practitioners. A total of 162 faculty and 110 students (total n = 272) completed a web-based survey on strengths of their current training programs and ideas for changes. Using a mixed-methods approach, the survey findings are used to highlight seven key areas for improved preparation of the next generation of behavioral medicine scientists and practitioners, which are grant writing, interdisciplinary teamwork, advanced statistics and methods, evolving research program, publishable products from coursework, evolution and use of theory, and non-traditional career paths., Author(s): Carly M. Goldstein [sup.1] , Karl E. Minges [sup.2] , Danielle E. Schoffman [sup.3] , Mallory G. Cases [sup.4] Author Affiliations: (1) 0000 0004 1936 9094grid.40263.33Department of Psychiatry and [...]

Author(s): Claudio R. Nigg [sup.1] , Danielle E. Jake-Schoffman [sup.2] , E. Amy Janke [sup.3] Author Affiliations: (1) 0000 0001 1482 1895grid.162346.4Office of Public Health Studies, University of Hawaii, 1960 [...]

BackgroundReviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps. ObjectiveThis study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. MethodsTwo iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks. ResultsResults from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively). ConclusionsProblem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery. Trial RegistrationClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)

Commercial mobile apps for health behavior change are flourishing in the marketplace, but little evidence exists to support their use. This paper summarizes methods for evaluating the content, usability, and efficacy of commercially available health apps. Content analyses can be used to compare app features with clinical guidelines, evidence-based protocols, and behavior change techniques. Usability testing can establish how well an app functions and serves its intended purpose for a target population. Observational studies can explore the association between use and clinical and behavioral outcomes. Finally, efficacy testing can establish whether a commercial app impacts an outcome of interest via a variety of study designs, including randomized trials, multiphase optimization studies, and N-of-1 studies. Evidence in all these forms would increase adoption of commercial apps in clinical practice, inform the development of the next generation of apps, and ultimately increase the impact of commercial apps.

Objective: Although behavioral weight-loss interventions produce short-term weight loss, long-term maintenance remains elusive. This randomized trial examined whether learning a novel set of "stability skills" before losing weight improved long-term weight management. Stability skills were designed to optimize individuals' current satisfaction with lifestyle and self-regulatory habits while requiring the minimum effort and attention necessary. Method: Overweight/obese women (N = 267) were randomly assigned to one of two 6-month interventions and assessed at baseline and at 6, 12, and 18 months. Maintenance First women participated first in an 8-week stability skills maintenance module and then in a standard 20-week behavioral weight-loss program. Weight Loss First women participated first in a standard 20-week behavioral weight-loss program and then in a standard 8-week problem-solving skills maintenance module. There was no intervention staff contact during the 12-month follow-up period (6-18 months). Results: As designed, Maintenance First participants lost the same percentage of initial weight during the 6-month intervention period as Weight Loss First participants (M = -8.6%, SD = 5.7, vs. M = -9.1%, SD = 6.9; t = -0.6, p = 0.52). However, Maintenance First participants regained significantly less weight during the 12-month follow-up period (6-18 months) than Weight Loss First participants (M = 3.2 lb, SD = 10.4, vs. M = 7.3 lb, SD = 9.9 [M = 1.4 kg, SD = 4.7, vs. M = 3.3 kg, SD = 4.5]; t = 3.3, p = 0.001, d = 0.4). Conclusion: Learning stability skills before losing weight was successful in helping women to maintain weight loss without intervention staff contact during follow-up. These results can inform the study design of future innovative interventions. (Contains 1 figure and 2 tables.)

Background: Exposure to cigarette smoke, particularly in early life, is modestly associated with ovarian cancer risk and may impact systemic immunity and the tumor immune response. However, no studies have evaluated whether cigarette smoke exposure impacts the ovarian tumor immune microenvironment. Methods: Participants in the Nurses' Health Study (NHS) and NHSII reported on early life exposure to cigarette smoke and personal smoking history on questionnaires (n = 165,760). Multiplex immunofluorescence assays were used to measure markers of T cells and immune checkpoints in tumor tissue from 385 incident ovarian cancer cases. We used Cox proportional hazards models to evaluate HRs and 95% confidence intervals (CI) for developing ovarian tumors with a low (