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Objective: Treatment of obesity has been transformed by the recent approval of incretin‐based therapies for weight loss (e.g., glucagon‐like peptide 1 agonist semaglutide), but little is known about patient perspectives on these medications. Methods: Between December 2023 and March 2024, healthcare patients from an academic medical center in the Southeast United States with Body Mass Index ≥30 kg/m2 completed a cross‐sectional online survey on attitudes toward incretin‐based medications. Results: Compared to patients with a bachelor's degree, those without a degree were less likely to be aware of incretin‐based pharmacotherapies (96% vs. 78%) and to have discussed pharmacotherapies with a doctor (43% vs. 27%) but had greater interest in using these pharmacotherapies (4.3 vs. 4.7). These pharmacotherapy‐related variables did not differ significantly according to gender, race, or financial security. Concerns about side effects, long‐term health risks, and potential for weight regain were highly endorsed and were associated with lower interest in using incretin‐based therapies and with some demographic factors. Patients reported high interest in lifestyle programs designed for individuals taking anti‐obesity medications. Conclusion: Demographic considerations, notably education level, should be factored into the strategy to promote equitable utilization of incretin‐based therapies, particularly as their accessibility expands. [ABSTRACT FROM AUTHOR]

Background: For individuals who are eligible but unlikely to join comprehensive weight loss programs, a low burden self‐weighing intervention may be a more acceptable approach to weight management. Methods: This was a single‐arm feasibility trial of a 12‐month self‐weighing intervention. Participants were healthcare patients with a BMI ≥25 kg/m2 with a weight‐related comorbidity or a BMI >30 kg/m2 who reported lack of interest in joining a comprehensive weight loss program, or did not enroll in a comprehensive program after being provided program information. In the self‐weighing intervention, participants were asked to weigh themselves daily on a cellular connected scale and were sent text messages every other week with tailored weight change feedback, including messages encouraging use of comprehensive programs if weight gain occurred. Results: Of 86 eligible patients, 39 enrolled (45.3%) in the self‐weighing intervention. Self‐weighing occurred on average 4.6 days/week (SD = 1.4). At 12 months, 12 participants (30.8%) lost ≥3% baseline weight, 11 (28.2%) experienced weight stability (±3% baseline), 6 (15.4%) gained ≥3% of baseline weight, and 10 (25.6%) did not have available weight data to evaluate. Three participants reported joining a weight loss program during the intervention (7.7%). Participants reported high intervention satisfaction in quantitative ratings (4.1 of 5), and qualitative interviews identified areas of satisfaction (e.g., timing and content of text messages) and areas for improvement (e.g., increasing personalization of text messages). Conclusion: A low‐burden self‐weighing intervention can reach adults with overweight/obesity who would be unlikely to engage in comprehensive weight loss programs; the efficacy of this intervention for preventing weight gain should be further evaluated in a randomized trial. [ABSTRACT FROM AUTHOR]

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]

Author(s): Shannon S. Taylor [sup.1] [sup.2] , Maren K. Olsen [sup.3] [sup.4] , Megan A. McVay [sup.5] , Janet Grubber [sup.3] , Jennifer M. Gierisch [sup.3] [sup.6] , William S. [...], Behavioral weight loss interventions are often delivered in groups. Group cohesion may enhance program attendance and, thereby, weight loss. In this secondary analysis, our goals were to: (1a) assess whether group cohesion measured early in a behavioral weight loss intervention predicts program attendance and weight loss outcomes and, if so, (1b) explore whether attendance mediates the link between group cohesion and weight loss; (2) characterize the association between change in group cohesion and weight loss throughout the intervention. Veterans (n = 324) initiated a 16-week, group-based behavioral weight loss program involving biweekly in-person group visits. In linear regression models, early group cohesion was unrelated to group attendance or weight loss. Although group cohesion significantly increased during the intervention, this change was not associated with weight loss. These findings are consistent with the limited literature; however, they are inconsistent with theoretical assertions and clinical observations of the influence of group factors on outcomes.

BackgroundProviding financial incentives has gained popularity as a strategy to promote weight loss, but questions remain about how best to utilize them. A promising mobile health strategy provides users with near-real-time financial incentives based on both the process of weight loss (behavioral modification) and actual weight loss. To maximize the impact of this strategy, a methodology is needed to close the gap between the desired behavior and the financial incentive. Leveraging mobile health tools—such as mobile phone apps, cellular body weight scales that transmit data to physicians and researchers, and text messaging for instructions and encouragement—has the potential to close this gap. ObjectiveThis study aimed to describe the development of an innovative technology-based solution and lessons learned from a feasibility trial—Log2Lose—that encouraged individuals to lose weight by providing near-real-time financial incentives for weight loss and/or dietary self-monitoring. MethodsWe recruited participants (N=96) with a body mass index greater than or equal to 30 kg/m2 for a 24-week weight loss trial. Participants received a behavioral intervention of biweekly, in-person group sessions and were instructed to log a minimum number of daily calories in MyFitnessPal and to step on the BodyTrace cellular scale at least twice per week. In a 2×2 design, participants were randomized into 4 groups to receive financial incentives for the following: (group 1) weekly weight loss and dietary self-monitoring, (group 2) dietary self-monitoring only, (group 3) weekly weight loss only, or (group 4) no financial incentives. Diet and weight data from the devices were obtained through application programming interfaces. Each week, we applied algorithms to participants’ data to determine whether they qualified for a monetary incentive (groups 1-3). A text message notified these participants of whether they met weight loss and/or self-monitoring requirements to earn an incentive and the amount they earned or would have earned. The money was uploaded to a debit card. ResultsOur custom-engineered software platform analyzed data from multiple sources, collated and processed the data to send appropriate text messages automatically, and informed study staff of the appropriate incentives. We present lessons learned from the development of the software system and challenges encountered with technology, data transmission, and participants (eg, lost connections or delayed communication). ConclusionsWith consistent and constant validation checks and a robust beta test run, the process of analyzing data and determining eligibility for weekly incentives can be mostly automated. We were able to accomplish this project within an academic health system, which required significant security and privacy safeguards. Our success demonstrates how this methodology of automated feedback loops can provide health interventions via mobile technology. Trial RegistrationClinicalTrials.gov NCT02691260; https://clinicaltrials.gov/ct2/show/NCT02691260

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]

Introduction Couple interventions (i.e., both patient and partner are active participants) for chronic illness have significant small effects on some patient outcomes and in some cases are more efficacious than [...], This study evaluated spouse health behavior outcomes from a randomized controlled trial of a spouse-assisted lifestyle intervention to reduce patient low-density lipoprotein cholesterol and improve patient health behaviors. Participants were 251 spouses of patients from the Durham Veterans Affairs Medical Center randomized to intervention or usual care. The intervention comprised 9 monthly telephone calls to patients and spouses. Outcomes were assessed at baseline, 6 and 11 months. At 11 months, there were no differences in spouse outcomes between intervention and usual care groups for moderate intensity physical activity (i.e., frequency, duration) or dietary intake (i.e., total calories, total fat, percentage of calories from total fat, saturated fat, percentage of calories from saturated fat, cholesterol, fiber). To improve spouse outcomes, couple interventions may need to include spouse behavior change goals and reciprocal support between patients and spouses and consider the need for improvement in spouse outcomes. Keywords Spouse * Couple * Dietary intake * Physical activity * Intervention * Social support

Introduction Recent estimates indicate that 34.2 % of Americans are overweight and an additional 33.8 % of Americans are obese (Flegal et al., 2010). Overweight and obesity have serious individual [...], Past studies have suggested that weight loss history is associated with subsequent weight loss. However, questions remain whether method and amount of weight lost in previous attempts impacts current weight loss efforts. This study utilized data from the Weight Loss Maintenance Trial to examine the association between weight loss history and weight loss outcomes in a diverse sample of high-risk individuals. Multivariate regression analysis was conducted to determine which specific aspects of weight loss history predict change in weight during a 6-month weight loss intervention. Greater weight loss was predicted by fewer previous weight loss attempts with assistance (p = 0.03), absence of previous dietary/herbal weight loss supplement use (p = 0.01), and greater maximum weight loss in previous attempts (p < 0.001). Future interventions may benefit from assessment of weight loss history and tailoring of interventions based on past weight loss behaviors and outcomes. Keywords Weight loss history * Previous weight * Weight loss method * Behavioral * Lifestyle * Greatest weight loss