Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults.

INTRODUCTION: Social jetlag (SJL), the discrepancy in sleep timing between weekdays and weekends, is associated with higher BMI and cardiometabolic risk and is common in young adults. We examined whether chronic SJL impacts weight gain in young adults participating in a weight gain prevention trial. METHODS: Young adults (n = 599, age 18-35; BMI: 21.0-30.9 kg/m2) completed assessments at 0, 4, 12, and 24 months. Multilevel mixed growth models were used to examine (1) associations between demographics and longitudinal SJL and (2) longitudinal SJL as a predictor of weight change and cardiometabolic outcomes. SJL was assessed as a continuous and clinically-significant dichotomous (< vs. ≥2 h) variable. RESULTS: 38% of participants had clinically-significant SJL at ≥ 1 timepoints (Baseline M ± SD = 1.3±0.89). Younger (b=-0.05, p < 0.001), female (b = 0.18, p = 0.037) and Black (compared to White, b = 0.23, p = 0.045) participants were more likely to have greater SJL. Individuals with high SJL (≥ 2 h; between-person effect) were more likely to have greater weight gain over 2 years (b = 0.05, p = 0.028). High SJL did not affect the rate of change in waist circumference or cardiometabolic markers over time. CONCLUSIONS: High SJL is associated with greater weight gain over time. Reducing SJL may positively impact weight status in young adults.

Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program.

BACKGROUND: Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. PURPOSE: To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. METHODS: Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual's average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). RESULTS: The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = -0.029, t = -3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). CONCLUSIONS: Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.

Executive function in childhood obesity: Promising intervention strategies to optimize treatment outcomes.

Executive functions (EFs) are hypothesized to play a role in the development and maintenance of obesity due to their role in self-regulatory processes that manage energy-balance behaviors. Children with obesity have well-documented deficits in EF, which may impede effectiveness of current, evidence-based treatments. This review examines top-down EF processes (e.g., inhibitory control, working memory, cognitive flexibility), as well as bottom-up automatic processes that interact with EFs (e.g., attentional bias, delay discounting) and their relation to weight-loss treatment success in children. It then evaluates EF-related interventions that may improve treatment response. Empirical studies that included an intervention purported to affect EF processes as well as pre-post measurements of EF and/or relative weight in populations ages 19 or younger with overweight/obesity were reviewed. Findings indicate that poorer EF may hinder treatment response. Moreover, there is preliminary evidence that behavioral weight loss intervention and physical activity may positively affect EF and that improvements in EF are related to enhanced weight loss. Finally, novel intervention strategies, such as computer training of core EFs, attention modification programs, and episodic future thinking, show promise in influencing both EFs and EF-related skills and weight. Further research is needed to provide more conclusive evidence of the efficacy of these interventions and additional applications and settings should be considered.

Health screenings in college health centers: Variations in practice.

Objective: The purpose of this study was to examine the routine screening of female students in college health centers for six priority health-related behaviors and experiences (tobacco use, alcohol use, eating disorders [EDs], obesity, anxiety and depression, intimate partner violence/sexual violence [IPV/SV]), and to identify variations in practice. Participants: A nationally representative sample of 1,221 healthcare providers (HCPs), including nurse practitioners, physicians, and physician assistants, from 471 U.S. college health centers. Methods: HCPs completed surveys (on-line or paper) and reported on routine screening of female college students. Results: HCPs reported consistently high rates (75-85%) of screening for tobacco use, alcohol use, and anxiety/depression. Rates of screening for IPV/SV, obesity and EDs were much lower. Nurse practitioners reported the highest IPV/SV screening rates. Conclusions: College health centers present unique opportunities for screening, case-finding and intervening to reduce long-term sequelae. Providers are well-positioned to lead initiatives to improve screening practices.

Pragmatic Implementation of Online Obesity Treatment and Maintenance Interventions in Primary Care: A Randomized Clinical Trial.

Importance: Behavioral weight loss interventions have achieved success in primary care; however, to our knowledge, pragmatic implementation of a fully automated treatment that requires little researcher oversight has not been tested. Moreover, weight loss maintenance remains a challenge. Objective: To evaluate the long-term effectiveness of an automated, online, behavioral obesity treatment program (Rx Weight Loss [RxWL]) at 12 months (primary end point) and 24 months when delivered pragmatically in primary care and to compare the effectiveness of 3 weight loss maintenance approaches. Design, Setting, and Participants: This randomized clinical trial of RxWL, an online weight loss program, recruited patients from a Rhode Island primary care network with approximately 60 practices and 100 physicians. Eligible participants were primary care patients aged 18 to 75 years with overweight or obesity who were referred by their nurse care manager and enrolled between 2018 and 2020. All participants were included in the intention-to-treat analysis, whereas only those who engaged with maintenance intervention were included in the per-protocol analysis. Data were analyzed from August 2022 to September 2023. Interventions: All participants were offered the same 3-month weight loss program, with randomization to one of three 9-month maintenance programs: control intervention (monthly online newsletters), monthly intervention (9 monthly video lessons and 1 week of self-monitoring per month), or refresher intervention (an introductory session and two 4-week periods of lessons and self-monitoring at 7 and 10 months). Main Outcomes and Measures: The primary outcome was weight change at 12 months using height and weight data collected from electronic medical records through 24 months. Results: Among the 540 participants (mean [SD] age, 52.8 [13.4] years; 384 females [71.1%]) in the intention-to-treat analysis, mean estimated 3-month weight loss was 3.60 (95% CI, -4.32 to -2.88) kg. At the 12-month primary end point, the amount of weight regained in the monthly (0.37 [95% CI, -0.06 to 0.81] kg) and refresher (0.45 [95% CI, 0.27 to 0.87] kg) maintenance groups was significantly less than that in the newsletter control maintenance group (1.28 [95% CI, 0.85 to 1.71] kg; P = .004). The difference in weight regain between the monthly and refresher maintenance groups was not statistically significant. This pattern persisted at 24 months. In the per-protocol analysis of 253 participants, mean weight loss at the end of the initial 3-month intervention was 6.19 (95% CI, -7.25 to -5.13) kg. Similarly, at 12 months there was less weight regain in the monthly (0.61 kg) and refresher (0.96 kg) maintenance groups than in the newsletter control maintenance group (1.86 kg). Conclusions and Relevance: Results of this randomized clinical trial indicate that pragmatic implementation of a 12-month automated, online, behavioral obesity treatment that includes 9 months of active maintenance produces clinically significant weight loss over 2 years in primary care patients with overweight or obesity. These findings underscore the importance of providing ongoing maintenance intervention to prevent weight regain. Trial Registration: ClinicalTrials.gov Identifier: NCT03488212.

Health, health behaviors, and medical care utilization among college students with obesity.

Objective: The study assessed perceived health, health behaviors and conditions, and medical care utilization among students of different weight categories. Participants: Participants were college students (n = 37,583) from 58 institutions who responded to a national survey of student health behaviors. Methods: Chi-squared and mixed model analyses were completed. Results: Compared to healthy weight students, those with obesity were less likely to report excellent health and meet dietary and physical activity recommendations, and more likely to have obesity-related chronic conditions and to have attended a medical appointment in the prior 12 months. Students with obesity (84%) and overweight (70%) were more likely to be attempting weight loss compared to students of healthy weight (35%). Conclusions: Students with obesity have poorer health and health behaviors relative to students of healthy weight; students with overweight were in between. Adapting and implementing evidence-based weight management programs within colleges/universities may be beneficial for student health.

Engaging Stakeholders to Adapt an Evidence-Based Family Healthy Weight Program.

Childhood obesity is associated with negative physical and psychosocial outcomes, especially for children from low-income backgrounds. It is critical to adapt evidence-based family healthy weight programs to meet the needs of this population. The Framework for Reporting Adaptations and Modifications to Evidence-Based Interventions was used to describe the process of using qualitative data from community and intervention stakeholders, children with overweight or obesity from low-income backgrounds, and caregivers to guide adaptations to the JOIN for ME pediatric weight management intervention. Qualitative interviews were conducted with key community and intervention stakeholders (e.g., nurse care managers, prior JOIN for ME coaches; N = 21). Focus groups were conducted in both Spanish and English with children with overweight or obesity from low-income backgrounds (N = 35) and caregivers of children with overweight or obesity from low-income backgrounds (N = 71). Qualitative data analysis informed modifications including content adaptations to simplify and tailor materials, contextual adaptations to improve intervention engagement and framing, resource awareness, and modality of delivery, training adaptations, and implementation/scale-up activities to increase connections with community partners. The process of engaging multiple stakeholder perspectives to tailor an existing intervention can provide a model for future researchers to improve the potential disseminability of an intervention.

Obesity during childhood is related to a number of negative outcomes for youth, with children from low-income backgrounds at especially high risk for obesity and related negative outcomes. There is a pressing need for programs to address weight in children and families that meet the needs of families from low-income backgrounds. This study outlines adaptations made to an evidence-based family healthy weight program to increase the likelihood of dissemination in low-income communities. Interviews were conducted with community stakeholders, children with overweight or obesity from low-income backgrounds, and caregivers of children with overweight or obesity from low-income backgrounds. These interviews led to simplification and tailoring of curriculum materials, changes to framing of weight management, increased information about available resources, remote intervention delivery, and changes to scale-up activities.

Weight gain prevention interventions in the Study of Novel Approaches to Weight Gain Prevention (SNAP) trial promote ideal cardiovascular health in young adults.

OBJECTIVE: Cardiovascular health (CVH) declines in young adulthood. This study assessed whether weight gain prevention interventions promoted ideal CVH. METHODS: Young adults (n = 599; age 18-35 years; BMI: 21.0-30.9 kg/m2 ) from a randomized controlled trial comparing two weight gain prevention interventions (self-regulation with large or small changes) and a self-guided control group completed anthropometric and clinical assessments at baseline and 2 years. CVH was quantified via the American Heart Association's Life's Simple 7 (LS7) number of ideal components met. RESULTS: Both interventions showed significant improvements in the average number of ideal LS7 components met at 2 years compared with control (pre- to post-treatment means; large change: 0.24, small change: 0.34, control: -0.2, p < 0.05). Moreover, a greater percentage of participants in both interventions improved by ≥1 ideal component (large change: 35%, small change: 37%, control: 29%) and a smaller percentage declined by ≥1 ideal component (large change: 16%, small change: 20%, control: 30%) compared with control. For individual LS7 components, the odds of having an ideal BMI and glucose varied by treatment condition at 2 years. CONCLUSIONS: Two weight gain prevention interventions led to improvements in ideal CVH at 2 years. Interventions explicitly focused on a broader constellation of LS7 domains might lead to even greater changes in CVH.

Leveraging seasonality and timing to optimize pediatric weight management interventions: Novel directions for future research.

National estimates suggest that more than 35% of American children, ages 2-19 years, are overweight or obese, which increases their risk for weight-related comorbidities including diabetes, cancer, cardiovascular disease risk factors, depression, and anxiety. While obesity prevention is most cost-effective, for youth with existing obesity, the United States Preventive Services Task Force recommends ≥26 h of comprehensive lifestyle intervention over 6-12 months. This include standard behavioral therapy, dietary counseling, and an emphasis on physical activity. Although such programs are effective in reducing weight status, there are many barriers to completing these programs. A novel consideration for both the prevention and treatment of childhood obesity is the recognition that the timing of intervention, both duration and time of the year, can impact family engagement and intervention effectiveness. This paper discusses the potential of targeting high-risk periods for weight gain and offering brief behavioral intervention, in hopes of inspiring research on novel approaches to the prevention and treatment of childhood obesity.

A randomized trial examining the effect of yoga on dietary lapses and lapse triggers following behavioral weight loss treatment.

Background: Dietary lapses can hinder weight loss and yoga can improve self-regulation, which may protect against lapses. This study examined the effect of yoga on dietary lapses, potential lapse triggers (e.g., affective states, cravings, dietary temptations), and reasons for initiating eating following weight loss treatment. Methods: Sixty women with overweight/obesity (34.3 ± 3.9 kg/m2) were randomized to a 12 week yoga intervention (2x/week; YOGA) or contact-matched control (cooking/nutrition classes; CON) following a 12-week behavioral weight loss program. Participants responded to smartphone surveys (5x/day) over a 10-day period at baseline, 12, and 24 weeks to assess lapses and triggers. Results: At 24 weeks, YOGA and CON differed on several types of lapses (i.e., less eating past full, eating more than usual, loss of control when eating, self-identified overeating, difficulty stopping eating in YOGA), and YOGA was less likely to eat to feel better or in response to stress (ps < 0.05). YOGA also reported less stress and anxiety and more positive affect (ps < 0.01); dietary temptations and cravings did not differ from CON. Conclusion: Yoga resulted in fewer dietary lapses and improved affect among women with overweight/obesity following weight loss. While preliminary, findings suggest that yoga should be considered as a potential component of weight loss treatment to target dietary lapses.

Life events and stress among young adults in weight gain prevention trial.

OBJECTIVE: Young adults (YAs) are at high risk for weight gain and show high variability in treatment response. Life events and high perceived stress are common in YAs and could drive less favorable outcomes. The goal was to examine whether life events and stress were related to program engagement and weight outcomes in a weight gain prevention trial for YAs. METHOD: Secondary analysis from the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized clinical trial (N = 599, 18-35 years, BMI 21-30 kg/m²). Both intervention arms received 10 in-person sessions over 4 months, with long-term contact via web and SMS. Participants completed the CARDIA life events survey and Cohen Perceived Stress Scale-4 at 0 and 4 months; weight was objectively measured at 0, 4 months, and 1, 2, 3, and 4 years. RESULTS: Participants who experienced more life events prior to study entry had lower session attendance (p < .01) and retention (p < .01), although no differences in weight outcomes were observed (p = .39). Baseline perceived stress followed a similar pattern. Participants who experienced more life events and higher perceived stress during the initial in-person program (0-4 months) appeared to experience less favorable weight outcomes long-term (p = .05 for life events, p = .04 for stress). Very few associations differed by treatment arm. CONCLUSIONS: Experiencing more life events and stress was negatively associated with program engagement and may impair long-term weight outcomes for YAs. Future work should consider identifying YAs at highest risk and tailoring interventions to better meet their needs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Behaviors and psychological states associated with transitions from regaining to losing weight.

OBJECTIVE: Little is known about week-to-week recovery from regains following a behavioral weight loss intervention (BWLI). This study examined changes in behaviors, cognitions, and moods associated with transitioning from weight regain to weight loss during the nine-month weight loss maintenance period after a three-month Internet-based BWLI. METHOD: Participants (n = 68) self-weighed daily via "smart" scales and answered 40 weekly questionnaires about their weight-related behaviors and psychological states. Mixed models were used to (a) determine whether weight gain in a given week predicted changes in weight, behaviors (e.g., self-monitoring), and psychological states (e.g., mood, temptation) the following week and to (b) compare back-to-back weeks when individuals recovered from weight gain (gained in the first week and lost in the second) versus those in which they gained both weeks. RESULTS: Weight gain in a given week predicted greater weight gain and greater report of behaviors and psychological states associated with weight gain the following week. Back-to-back weeks when individuals switched from gaining to losing were few (5%) compared with weeks when individuals continued gaining (60%). Switching from gaining to losing was associated with greater physical activity during the initial weight gain week and greater self-reported behaviors/cognitions consistent with weight loss (e.g., greater calorie self-monitoring, greater importance of "staying on track") during the following week. CONCLUSIONS: Engagement in more weight loss consistent behaviors and more favorable ratings of key psychological variables were associated with the rare shifts from gaining to losing. Future research should investigate interventions to help individuals quickly recover from weight regain. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Recovery from weight regain among long-term weight loss maintainers in WW.

OBJECTIVE: This study sought to understand the process and strategies to recover from regain among weight loss maintainers. METHODS: Participants in WeightWatchers (WW; n = 2457) had lost ≥9 kg for ≥1 year and were grouped based on self-reported weight change after maximum loss: sustained maintenance ("Stable"), ups and downs ("Gain-Lose"), and regain ("Gain"). The groups were compared on weight control strategies, and the Gain-Lose and Gain groups reported on attempts to reverse weight regain. RESULTS: Mean weight loss was 28.5 kg and duration of ≥9 kg loss was 3.5 years. During this time, 48% reported weight stability, and the remaining reported some regain (Gain-Lose, 29% or Gain, 23%). Among Gain and Gain-Lose, action to lose regained weight occurred after gaining >4 kg. Compared with Gain, Gain-Lose sustained reengagement efforts longer (16 vs. 10 weeks) and had better dietary choices (3.4 vs. 3.2), self-monitoring (2.9 vs. 2.7), and psychological coping (2.5 vs. 2.4) scores. Among Gain-Lose, the most successful (< 2.3 kg vs. >2.3 kg regain) initiated weight loss efforts after less regain (2.3 vs. 4.5 kg). CONCLUSIONS: Reengaging with weight loss after regains may be most successful if focused on diet, self-monitoring, and psychological coping and initiated with less regain.

Affective responses to overeating episodes in women participating in a behavioral weight loss program.

BACKGROUND: Much research has focused on precursors to dietary lapses in weight loss programs, but less is known about how individual responses to lapses may influence future non-adherence and program success. The current study examined affective responses to overeating lapses and their influence on subsequent overeating and overall weight loss. METHODS: Women (n = 60) with overweight or obesity (BMI (mean ± SD): 34.3 ± 3.9 kg/m2; age: 48.1 ± 10.1 years) participated in a 3-month group behavioral weight loss intervention (BWLI). At baseline and 3 months, participants completed anthropometric assessments and a 10-day ecological momentary assessment protocol sent 5 times per day reporting on overeating and affect (stress, shame, anxiety, and feeling good about oneself). Across time points, multilevel models were used to examine affective responses to overeating and to predict likelihood of subsequent overeating. Linear regression models were used to examine the effect of affective responses to overeating (at baseline and collapsed across time points) on weight loss. RESULTS: Following self-reported overeating episodes, compared to non-overeating episodes, feeling good about oneself decreased. These decreases lessened with time from overeating. Overeating predicted subsequent overeating episodes, with decreases in feeling good about oneself following overeating marginally predicting increased likelihood (p = 0.065). Neither overeating frequency at baseline nor change in overeating frequency predicted weight loss; however, greater decreases in anxiety following overeating were associated with less weight loss. CONCLUSIONS: Self-reported overeating during a BWLI was associated with negative affective responses and may have increased the likelihood of subsequent overeating, but did not affect overall weight loss in this sample.

Foods that are perceived as healthy or unhealthy differentially alter young women's state body image.

Body image can be influenced by day-to-day events, including food intake. The present study investigated the effects of foods typically perceived as "healthy" or "unhealthy" on state body image and mood. College-aged women were told the experiment was designed to assess the effects of food on cognition. Using a between-subjects design, participants consumed isocaloric amounts of foods perceived to be healthy (banana) or unhealthy (donut) or ate nothing. Next, participants completed three cognitive tasks. Prior to eating and following the cognitive tests, participants completed the BISS, POMS, the Figure Rating Scale, and the Restraint Scale. Body satisfaction decreased following intake of a donut, but was not altered in the other conditions. Depression scores significantly decreased after intake of either a donut or banana, but did not decrease in the no-food condition. Tension scores decreased significantly after consumption of a banana and in the no-food condition, but did not decrease following consumption of a donut. These results indicate that intake of a food that is perceived as unhealthy negatively affects state body image.

Implementation of the JOIN for ME Program for Families from Low-Income Backgrounds: The Use of Theory-Driven Formative Evaluation: Rhode Island CORD 3.0.

Advances have been made in the development of effective interventions to address pediatric obesity; however, research findings often do not translate into clinical practice and a limited number of programs have been designed toward wide-spread dissemination and implementation. The Rhode Island (RI)-Childhood Obesity Research Demonstration (CORD) 3.0 Project involves adapting and testing an evidence-based pediatric weight management intervention (PWMI), JOIN for ME, for wide-scale dissemination and implementation in communities with a high proportion of families from low-income backgrounds. In this article, we describe the robust developmental formative evaluation (FE) process employed by RI-CORD as a model for the use of FE to drive dissemination of evidence-based PWMIs. The current project was guided by the Consolidated Framework for Implementation Research and Proctor Implementation Outcomes. This article also showcases examples of how the use of key informant interviews from engaged stakeholders in the community during a developmental FE process can drive selection of implementation strategies. The use of FE, driven by evidence-based theory, can help provide a roadmap to successful implementation of a pediatric weight management program, such as JOIN for ME.

Implementation intentions for weight loss in college students with overweight and obesity: a proof-of-concept randomized controlled trial.

One in three college students have overweight or obesity and are in need of brief, simple weight loss interventions. Implementation intentions, a strategy that connects a goal-aligned behavior to a cue, facilitate goal attainment of health behaviors but have not been applied as a standalone treatment for weight loss. The purpose of this study was to examine the efficacy of an implementation intention weight loss intervention in college students. In this three-arm, proof-of-concept, randomized controlled trial, college students with overweight/obesity (N = 95) were randomized to one of three conditions: an implementation intention group (IMP), an enhanced implementation intention group (IMP+) that included text message reminders and fluency training (i.e., training for speed and accuracy), and a control goal intention group (GOL) for 4 weeks. Participants completed anthropometric and self-report assessments pretreatment and posttreatment and experience-sampling assessments during the study to assess how implementation intentions contribute to behavior change. Across the sample, IMP and IMP+ groups reported significantly more goal-congruent behaviors than the GOL group. However, no between-condition differences emerged for weight and diet outcomes. Across conditions, students lost a statistically significant amount of weight, improved diet quality, and reduced caloric intake (ps < .05). Setting implementation intentions was associated with increased behaviors consistent with weight loss goals. Moreover, participants in all groups lost a statistically significant amount of weight. Incorporating implementation intentions into weight loss interventions, and testing the efficacy of this approach on weight loss over a longer duration, may be beneficial for college students with overweight/obesity.

Child and family predictors of relative weight change in a low-income, school-based weight management intervention.

Introduction: Minority and low-income children are underrepresented in school-based weight management programs despite higher risk of obesity and the external contexts that influence their success are largely unknown. This study examines predictors of weight outcomes following the socioecological model in a school-based weight management intervention implemented in an elementary school serving primarily low-income, Black youth. Methods: Children (n = 145; ages 4-9) participated in an 8-month school-based weight management intervention that included components to increase physical activity, promote healthy eating, and engage parents. Children had height and weight measured at baseline and postprogram and parents completed questionnaires at baseline. Socioecological predictors (e.g., child demographic, parent beliefs and attitudes, family and home environment, and social contexts of the family) of zBMI change were assessed using linear regressions. Results: Weight change over the program differed by baseline weight status such that children with obesity lost weight, while children of healthy weight and with overweight gained weight. Children who were younger and had healthier family food choices at baseline were better able to maintain their weight, whereas children from food insecure families gained weight. Discussion: Children of different weight categories from low-income families vary in their response to universally delivered school-based weight management programs. Future work should consider how to address needs of children from different weight classes as well as to effectively target children with risk factors for excessive weight gain (e.g., older, food insecure, less healthful food choices), which may involve broader or more integrative approaches. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Study protocol for a randomized controlled trial comparing two low-intensity weight loss maintenance interventions based on acceptance and commitment therapy or self-regulation.

BACKGROUND: Weight regain is common following behavioral obesity treatment and attenuates many of the benefits of initial weight loss. This paper describes a randomized controlled trial that will evaluate the efficacy of two low-contact weight loss maintenance interventions based on Acceptance and Commitment Therapy (ACT) and self-regulation (SR). Potential mechanisms of action and moderators of treatment effects will also be evaluated. METHODS: Adults (anticipated N = 480) with overweight or obesity will complete an initial 3-month online weight loss program (Phase 1). Participants who achieve ≥4 kg weight loss (anticipated N = 288) will then be randomized to an ACT or SR weight loss maintenance intervention. Both interventions will entail four 2.5 h, face-to-face, group-based workshop sessions and 6 months of email contact. Assessments will be conducted at phase 1 baseline, phase 1 completion/pre-randomization, and 6, 12, 18, 24, and 30 months post-randomization. The primary outcome will be weight change for the period from randomization to 30 months. Potential process measures including ACT-based constructs (e.g., psychological acceptance, values-consistent behavior), self-weighing frequency, and motivation will be also be assessed, as will potential moderators (e.g., initial weight loss). CONCLUSIONS: This study will compare the efficacy of two intervention approaches (ACT and SR) delivered in a scalable workshop format for long-term weight loss maintenance. Future research could examine efficacy and cost-effectiveness of these approaches in real world settings.

Making large changes or small changes to prevent weight gain in young adulthood: which is preferred and by whom?

Knowledge of participant treatment preferences can inform decision-making regarding treatment dissemination and future participant adoption. To compare participant perceptions of two evidence-based approaches for weight gain prevention in young adults to identify the intervention with the greatest likelihood of adoption. As part of a randomized trial (Study of Novel Approaches to Weight Gain Prevention [SNAP]; n = 599) testing weight gain prevention interventions in young adults (18-35 years), individuals assigned to self-regulation interventions using either large changes or small changes reported on perceived personal effectiveness and difficulty of treatment over 3 years. Treatment satisfaction at 2-year follow-up was also reported. Pre-randomization, participants believed the large change intervention would be more personally effective than the small change intervention, although they also considered it more complex. Older age, lower body mass index (p = 0.056), and desire to maintain versus lose weight predicted greater perceived effectiveness of the small change relative to large change intervention. Over follow-up, the large change intervention was no longer perceived as more effective, but perceived effectiveness aligned with assigned treatment. The small change intervention was rated as less complex than the large change intervention at 4 months, but not at other follow-ups. At study conclusion, participants were largely satisfied with both treatments; however, in the small change intervention, individuals who were not successful at preventing weight gain were less satisfied than individuals who were successful. The large and small change interventions are both appropriate for dissemination with no clear advantages based on the participant perceptions.