Effects of Weight Loss and Weight Maintenance on Lipoprotein Insulin Resistance Scores in Adults with Overweight and Obesity.

Background: An elevated lipoprotein insulin resistance (LP-IR) score corresponds to insulin resistance in adults with overweight and obesity, yet data are lacking regarding the impact of exercise interventions on LP-IR. The purpose of this secondary analysis was to evaluate the effects of a weight loss and weight maintenance intervention on LP-IR score in adults with overweight and obesity. Methods: Thirty sedentary adults with overweight and obesity completed a 10-week OPTIFAST® weight loss program with supervised aerobic exercise to achieve clinical weight loss (CWL) (≥7% from baseline). Aerobic exercise volume increased weekly until 700 MET min/week was reached. Participants who reached CWL were randomized to groups at volumes at either physical activity (PA-REC) or weight maintenance (WM-REC) recommendations (weeks 11-28). Plasma blood samples were analyzed via nuclear magnetic resonance spectroscopy at baseline, after weight loss (week 10), and following weight maintenance (week 28). Results: Following the weight loss phase, on average, participants significantly (p < 0.001) reduced LP-IR score (-12.1 ± 13.5), body weight (-8.9 ± 2.7%), and waist circumference (-7.7 ± 4.1 cm). During the weight maintenance phase, there were no changes in LP-IR score between exercise groups (PA-REC: 4.1 ± 13.6; WM-REC: -2.0 ± 11.2; P = 0.7). The PA-REC group had improvements in LP-IR score from baseline (49.8 ± 24.6 to 36.6 ± 27.6, P < 0.001), yet there were no within-group changes during the weight maintenance phase (P > 0.05). Conclusion: LP-IR score improved during weight loss in adults with overweight and obesity and were sustained during the weight maintenance phase in the PA-REC group. Aerobic exercise at least at minimum guidelines following CWL can preserve LP-IR score improvements and may indicate a reduced T2DM risk in adults with overweight and obesity.

Does intervention sequence impact self-regulatory and behavioral outcomes in an adaptive trial among adults with prediabetes?

Background: Lifestyle interventions can promote improvement in dietary intake and physical activity (PA), on average, by strengthening motivation, self-regulatory efforts, and commitment to behavioral change. However, maintenance of behavioral change is challenging, and slow responders during treatment often experience less overall success. Adaptive intervention sequences tailored to treatment response may be more effective in sustaining behavioral change. Methods: Adults ≥ 21 years old with prediabetes (n = 187) were stratified at week five to the standard Group Lifestyle Balance (GLB) intervention, if they achieved > 2.5% weight loss, or to the augmented intervention GLB Plus (GLB+) at week five, if they did not. At month five, each person in a matched pair was randomly assigned to GLB or GLB + for the extended intervention phase (months 5-12) followed by no study conduct (months 13-18). The primary comparison of interest was the change in outcomes between the standard (GLB followed by GLB) and augmented (GLB + followed by GLB+) intervention sequences post-intervention at 12 - and 18-months using linear mixed effect models. Results: The augmented GLB + intervention sequence reported a decline in the change in self-efficacy for reducing fat intake, self-efficacy for 'sticking to' healthy eating and exercise, and hopeful thought and planning compared to the standard GLB intervention sequence (all P < 0.0167) at 18-months. However, there were no significant differences between these intervention sequences at 18-months in the change in dietary intake or minutes of PA (all P > 0.05). Conclusions: No significant change in behavioral measures across intervention sequences occurred at study end. An 18-month decline in self-efficacy regarding diet and PA and hopeful thought and planning among slow responders following no intervention for six months indicates greater extended care is likely needed. The type of extended care that is most effective for slow treatment responders requires additional research.

The lived experience of weight loss maintenance in young people.

INTRODUCTION: There continues to be an imbalance of research into weight loss and weight loss maintenance (WLM), with a particular lack of research into WLM in young people under 18 years. Failure to coherently understand WLM in young people may be a potential contributor to the underdeveloped guidance surrounding long-term support. Furthermore, no research has investigated young people's preferences around WLM support following the attendance of a residential intensive weight loss intervention from a qualitative perspective. This study explored the influences of WLM in young people following a residential intensive weight loss intervention, considered how interventions could be improved and sought to develop recommendations for stakeholders responsible for designing WLM interventions. METHODS: The context in which this research is framed was taken from a residential Intensive Weight Loss Intervention for young people aged 8-17 years in England. Six semi-structured interviews were carried out to understand the lived experience of WLM, including barriers and enablers influencing WLM, adopting an interpretative phenomenological analysis design. FINDINGS: Three superordinate themes were developed to explain the barriers and enablers to WLM; (1) Behavioural control and the psychosocial skills to self-regulate WLM; (2) Delivering effective social support; and (3) Conflicting priorities and environmental triggers. CONCLUSION: The findings of this research mirror that of other studies of WLM in young people, with the majority of young people struggling to maintain weight loss. However, by exploring the experience of WLM in young people through qualitative means, it was possible to understand the specific motivators and barriers influencing WLM behaviours in this context, providing recommendations to support WLM. PATIENT OR PUBLIC CONTRIBUTION: The interview guide was developed in consultation with a young person from the intervention, and through discussions with the intervention stakeholders (delivery staff and management staff). The interview guide included topics such as knowledge and skills; experience of weight loss; reflections on weight maintenance, and experiences of daily life postintervention. We piloted the interview schedule with one young person who had consented to take part in the research. This first interview was used to check for understanding of questions and to assess the flow of the interview.

Cognitive and behavioral weight management strategies during the menopausal transition: Insights from the Menopause and Weight Loss (ME-WEL) project.

OBJECTIVE: Most women experience weight gain during the menopausal transition, often attributed to behavioral factors. Nevertheless, some women successfully maintain a healthy weight during this phase. This study aims to identify the successful cognitive and behavioral weight management strategies employed by postmenopausal women who effectively maintained a healthy weight during the menopausal transition (from premenopause to postmenopause). METHOD: Semi-structured interviews were conducted with 31 Portuguese postmenopausal women, aged 45-65 years (mean and standard deviation 54.06 ± 5.51) who successfully maintained a healthy weight (body mass index: 18.5 kg/m2-24.9 kg/m2) during the menopausal transition. The interviews were conducted via telephone (n = 29) and Zoom (n = 2), based on the participant's preference, and ranged from 11 to 52 min (22.06 ± 9.95). Using MAXQDA software, deductive-dominant content analysis of the interviews was performed. The Interface of R for the Multidimensional Analyses of Texts and Questionnaire software was used for lexical analysis. RESULTS: The qualitative analysis of cognitive and behavioral strategies for successful weight management yielded 17 categories and 37 sub-categories. Effective cognitive and behavioral strategies (e.g., planning content, stimulus control, support: help from others) were identified, mostly aligning with the Oxford Food and Activity Behaviors Taxonomy. Five new categories emerged: dietary choices, intuitive eating, food literacy, psychological self-care, and effortful inhibition. CONCLUSION: Knowing effective cognitive and behavioral weight management strategies for menopausal women is relevant, especially considering their status as a high-risk group. This knowledge provides a valuable guide for designing weight management interventions, emphasizing the essential role of behavioral change.

Balancing innovation and affordability in anti-obesity medications: the role of an alternative weight-maintenance program.

Despite remarkable clinical advances in highly effective anti-obesity medications, their high price and potential budget impact pose a major challenge in balancing equitable access and affordability. While most attention has been focused on the amount of weight loss achieved, less consideration has been paid to interventions to sustain weight loss after an individual stops losing weight. Using a policy simulation model, we quantified the impact of a weight-maintenance program following the weight-loss plateau from the initial full-dose glucagon-like peptide 1 (GLP-1) receptor agonists or incretin mimetic use. We measured long-term health care savings and the loss of some health benefits (eg, maintenance of weight loss, improvements in cardiometabolic risk factors, and reductions in diabetes and cardiovascular events). Our model suggested that, compared with continuous long-term full-dose GLP-1 receptor agonists or incretin mimetic drugs, the alternative weight-maintenance program would generate slightly fewer clinical benefits while generating substantial savings in lifetime health care spending. Using less expensive and potentially less effective alternative weight-maintenance programs may provide additional headroom to expand access to anti-obesity medications during the active weight-loss phase without increasing total health care spending.

Differential effect by chronic disease risk: A secondary analysis of the ChooseWell 365 randomized controlled trial.

Objective: Whether employees' health status is associated with the effectiveness of workplace health promotion programs is unknown. The objective of this study was to determine if the effect of a workplace healthy eating intervention differed by baseline chronic disease status. Methods: This was a secondary analysis of a randomized controlled trial conducted September 2016 to February 2018 among US hospital employees to test the effect of a 12-month behavioral intervention (personalized feedback, peer comparisons, and financial incentives) on diet and weight. Participants were classified as having chronic disease (yes/no) based on self-reported hypertension, hyperlipidemia, heart disease, stroke, pre-diabetes, diabetes, cancer or another serious illness. BMI was measured at study visits and calories purchased were measured from cafeteria sales data over 24 months. Mixed models with random effects assessed heterogeneity of treatment effects by chronic disease. Results: Participants (N = 548) were mostly female (79.7 %) and white (81.2 %); 224 (40.9 %) had chronic disease. Among those with chronic disease, intervention participants reduced caloric intake by 74.4 [22.3] kcal more than control, with a smaller difference between intervention and control (-1.9 [18.7] kcal) (three-way p-interaction = 0.02). The effect on BMI for those with chronic disease (0.47 [0.21] kg/m2) indicated weight stability among intervention participants and weight gain among controls while the effect (-0.56 [0.18] kg/m2) for those without chronic disease was the opposite (three-way p-interaction < 0.01). Conclusions: Those with chronic diseases had greater reductions in calories purchased and gained less weight. Employers with limited resources for health promotion might consider tailoring programs to employees at highest risk.

Factors predicting long-term weight maintenance in anorexia nervosa: a systematic review.

PURPOSE: Eating disorder recovery is a poorly defined concept, with large variations among researchers' definitions. Weight maintenance is a key aspect of recovery that remains relatively underexplored in the literature. Understanding the role of weight maintenance may help guide the development of treatments. This paper aims to address this by (1) investigating the factors predicting long-term weight maintenance in anorexia nervosa (AN) patients; (2) exploring differences in predictive factors between adolescent and adult populations; and (3) exploring how weight maintenance is conceptualised in the literature. METHODS: We conducted a systematic review following PRISMA guidelines to address our research questions. Five databases were searched and filtered according to our exclusion criteria. RESULTS: From the search, 1059 studies were yielded, and 13 studies were included for review. A range of weight, biological and psychological factors were found to predict weight maintenance among these papers. BMI at admission and discharge from inpatient treatment was the most common predictor among the papers. Few studies investigated biological factors and mixed evidence was found for psychological factors. We found no observable differences between adult and adolescent populations. Finally, weight maintenance was defined and measured differently across studies. CONCLUSION: This review's findings can help contribute to a well-rounded understanding of weight maintenance, and ultimately, of recovery. This can help support clinicians in tailoring interventions to improve long-term outcomes in AN. Future research should aim to replicate studies to better understand the relationship between the factors identified and weight maintenance. LEVEL I: Systematic review.

Exercise, weight maintenance, and nonalcoholic fatty liver disease risk: a Chinese cohort study.

Background: Exercise has been reported to be associated with a reduced risk of nonalcoholic fatty liver disease (NAFLD), but there is no consensus on the role of weight changes in this association. This study aims to investigate whether the impact of exercise on NAFLD is mainly dependent on weight changes or is inherent to exercise itself. Methods: The study recruited 1671 Chinese NAFLD-free adults in 2019, and collected their exercise habits as well as 3 years of medical examination data including anthropometric measurements, blood biochemistry parameters, and liver ultrasound results. Univariate and multivariate logistic regression models were employed to examine the impact of exercise habits on NAFLD risk, with mediation analysis utilized to estimate the magnitude of the role of weight maintenance in the association between exercise and NAFLD. Results: After adjusting for confounders, moderate to high-intensity exercisers were 1.56 times (95% CIs = 1.09-2.22) more likely to successfully control their body weight, and therefore the weight-controlled group had a lower NAFLD risk of 34.9% (95% CIs = 21.8%-56.0%) compared to the weight-gain group. Mediation analysis reveals that exercise can significantly reduce the risk of NAFLD both through weight maintenance (37.1%) and independent of weight maintenance (62.9%). Conclusion: It might be more crucial to emphasize the adoption of regular moderate to high-intensity exercise for preventing NAFLD in the general population, rather than solely focusing on weight maintenance.

Weight Loss Maintainers Sustain High Diet Quality in Diverse Residential Retail Food Environments.

BACKGROUND: The relationship between the retail food environment and diet quality has received minimal investigation among weight loss maintainers. OBJECTIVE: The aim of this study was to investigate the association between the residential retail food environment and diet quality in weight loss maintainers from WeightWatchers in the United States. DESIGN: Cross-sectional data were collected between January 2018 and February 2020. The Retail Food Environment Index (RFEI), based on geocoded home addresses, classified the environment as follows: RFEI <1.6 = healthiest; RFEI 1.6 to <2.5 = moderately healthy; RFEI 2.5 to <4.0 = moderately unhealthy; RFEI ≥4.0 = least healthy. Dietary data were obtained using a food frequency questionnaire. PARTICIPANTS/SETTING: Adult participants (n = 1,159) who had lost weight using WeightWatchers and maintained ≥9.1-kg weight loss for ≥1 year (mean 24.7-kg loss for 3.4 years). MAIN OUTCOME MEASURES: Healthy Eating Index 2015 (HEI-2015) component and total scores (0-100; higher scores indicate better alignment with the 2015-2020 Dietary Guidelines for Americans). STATISTICAL ANALYSES PERFORMED: Regression models included RFEI category, the independent variable, and HEI-2015 and component scores (outcomes) controlling for age, sex, race and ethnicity, educational attainment, and household income. RESULTS: Compared with individuals living in the healthiest food environments (mean HEI-2015 score = 71.5) those in the unhealthiest environments had a mean HEI-2015 score of 70.1 (95% CI 68.8 to 71.3), those in moderately unhealthy environments had a score of 71.3 (95% CI 70.3 to 73.1) and those in moderately healthy environments had a score of 70.3 (95% CI 68.9 to 71.2), indicating a nonlinear relationship. Compared with those in the healthiest environments, those in the least healthy environments had an approximately 0.47 lower added sugar HEI-2015 component score (95% CI -0.86 to -0.08), indicating approximately 5% higher added sugar intake. CONCLUSIONS: Weight loss maintainers maintained high diet quality in diverse retail food environments. Compared with those in the healthiest food environments, those in the least healthy had a higher consumption of added sugars.

Comparison of the Efficacy of Anti-Obesity Medications in Real-World Practice.

Purpose: Anti-obesity medications (AOMs), along with lifestyle interventions, are effective means of inducing and maintaining weight loss in patients with obesity. Although the efficacy of AOMs has been reported, there have been no direct comparisons of these drugs. Therefore, in the present study, we aimed to compare the efficacy of all the AOMs available in Korea in a real-world setting. Patients and Methods: The body weight and composition of 205 adults treated with phentermine, phentermine/topiramate, liraglutide, naltrexone/bupropion, lorcaserin, or orlistat for at least 6 months were analyzed at 2 month intervals. The prevalence of the achievement of a ≥5% weight loss and the changes in body composition were compared between participants using each AOM at each visit. Results: A total of 132 (64.4%) participants achieved ≥5% weight loss within 6 months (prevalence of ≥5% weight loss after 6 months: phentermine, 87.2%; phentermine/topiramate, 67.7%; liraglutide, 58.1%; naltrexone/bupropion, 35.3%; lorcaserin, 75%; orlistat, 50%). At each visit, after adjustment for age, sex, and baseline body weight, phentermine use was associated with a significantly higher prevalence of ≥5% weight loss than the use of the other AOMs, except for liraglutide. There were significant differences in the body weight, body mass index and body fat mass among the AOM groups by visit (P for interaction <0.05), but not in their waist circumference, skeletal muscle mass, percentage body fat, or visceral fat area. Conclusion: All the AOMs were effective at inducing and maintaining weight loss, in the absence of significant changes in muscle mass, over a 6 month period, and the short-term use of phentermine and the long-term use of phentermine/topiramate or liraglutide would be practical choices for the treatment of obesity. However, further, large-scale studies are necessary to confirm these findings.

Effect of a 6-Week Carbohydrate-Reduced High-Protein Diet on Levels of FGF21 and GDF15 in People With Type 2 Diabetes.

Context: Fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15) are increased in type 2 diabetes and are potential regulators of metabolism. The effect of changes in caloric intake and macronutrient composition on their circulating levels in patients with type 2 diabetes are unknown. Objective: To explore the effects of a carbohydrate-reduced high-protein diet with and without a clinically significant weight loss on circulating levels of FGF21 and GDF15 in patients with type 2 diabetes. Methods: We measured circulating FGF21 and GDF15 in patients with type 2 diabetes who completed 2 previously published diet interventions. Study 1 randomized 28 subjects to an isocaloric diet in a 6 + 6-week crossover trial consisting of, in random order, a carbohydrate-reduced high-protein (CRHP) or a conventional diabetes (CD) diet. Study 2 randomized 72 subjects to a 6-week hypocaloric diet aiming at a ∼6% weight loss induced by either a CRHP or a CD diet. Fasting plasma FGF21 and GDF15 were measured before and after the interventions in a subset of samples (n = 24 in study 1, n = 66 in study 2). Results: Plasma levels of FGF21 were reduced by 54% in the isocaloric study (P < .05) and 18% in the hypocaloric study (P < .05) in CRHP-treated individuals only. Circulating GDF15 levels increased by 18% (P < .05) following weight loss in combination with a CRHP diet but only in those treated with metformin. Conclusion: The CRHP diet significantly reduced FGF21 in people with type 2 diabetes independent of weight loss, supporting the role of FGF21 as a "nutrient sensor." Combining metformin treatment with carbohydrate restriction and weight loss may provide additional metabolic improvements due to the rise in circulating GDF15.

Remote delivery of a weight management intervention for adults with intellectual disabilities: Results from a randomized non-inferiority trial.

BACKGROUND: Remote delivery of multi-component weight management interventions results in clinically meaningful weight loss in adults without intellectual disabilities (ID), but the effectiveness of remotely delivered weight management interventions in adults with ID has not previously been evaluated. OBJECTIVE: To determine if a weight management intervention delivered remotely could achieve weight loss (kg) at 6 months that is non-inferior to in-person visits in adults with ID and overweight or obesity (BMI ≥25 kg/m2). METHODS: Participants were randomized to a 24-mo. trial (6 mos weight loss,12 mos weight maintenance, 6 mos. no-contact follow up) to compare weight loss achieved with the same multicomponent intervention delivered to individual participants in their home either remotely (RD) or during face-to-face home visits (FTF). RESULTS: One hundred twenty adults with ID (∼32 years of age, 53 % females) were randomized to the RD (n = 60) or the FTF arm (n = 60). Six-month weight loss in the RD arm (-4.9 ± 7.8 kg) was superior to 6-month weight loss achieved in the FTF arm (-2.1 ± 6.7 kg, p = 0.047). However, this may be partially attributed to the COVID-19 pandemic, since weight loss in the FTF arm was greater in participants who completed the intervention entirely pre-COVID (n = 33,-3.2 %) compared to post-COVID (n = 22, -0.61 %). Weight loss across did not differ significantly between intervention arms at 18 (p = 0.33) or 24 months (p = 0.34). CONCLUSION: Our results suggest that remote delivery is a viable option for achieving clinically relevant weight loss and maintenance in adults with ID. NCT REGISTRATION: NCT03291509.

Motivation and Obesity Care.

Motivation is essential to maintain achieved targets in the long-term management of chronic diseases like obesity. Moreover, the role of motivation becomes even more important when the physiological set point tries to act against the achieved targets. In this brief communication the authors propose a rubric that should assist health care professionals in enhancing the quality of their communication skills, improving the delivery of obesity management, and optimizing therapeutic outcomes by helping their patients with obesity to manage their motivation drive.

Markers of Glucagon Resistance Improve With Reductions in Hepatic Steatosis and Body Weight in Type 2 Diabetes.

Context: Hyperglucagonemia may develop in type 2 diabetes due to obesity-prone hepatic steatosis (glucagon resistance). Markers of glucagon resistance (including the glucagon-alanine index) improve following diet-induced weight loss, but the partial contribution of lowering hepatic steatosis vs body weight is unknown. Objective: This work aimed to investigate the dependency of body weight loss following a reduction in hepatic steatosis on markers of glucagon resistance in type 2 diabetes. Methods: A post hoc analysis was conducted from 2 previously published randomized controlled trials. We investigated the effect of weight maintenance (study 1: isocaloric feeding) or weight loss (study 2: hypocaloric feeding), both of which induced reductions in hepatic steatosis, on markers of glucagon sensitivity, including the glucagon-alanine index measured using a validated enzyme-linked immunosorbent assay and metabolomics in 94 individuals (n = 28 in study 1; n = 66 in study 2). Individuals with overweight or obesity with type 2 diabetes were randomly assigned to a 6-week conventional diabetes (CD) or carbohydrate-reduced high-protein (CRHP) diet within both isocaloric and hypocaloric feeding-interventions. Results: By design, weight loss was greater after hypocaloric compared to isocaloric feeding, but both diets caused similar reductions in hepatic steatosis, allowing us to investigate the effect of reducing hepatic steatosis with or without a clinically relevant weight loss on markers of glucagon resistance. The glucagon-alanine index improved following hypocaloric, but not isocaloric, feeding, independently of macronutrient composition. Conclusion: Improvements in glucagon resistance may depend on body weight loss in patients with type 2 diabetes.

Importance of self-weighing to avoid post-cessation weight gain: A secondary analysis of the fit and quit randomized trial.

Background: Smoking cessation is associated with weight gain, and the risk of weight gain is a common deterrent to quitting smoking. Thus, the identification of strategies for reducing post-smoking cessation weight gain is critical. Objective: Conduct secondary analysis of data from the Fit & Quit trial to determine if greater frequency of self-weighing is associated with less weight gain in the context of smoking cessation. Methods: Participants (N = 305) were randomized to one of three 2-month weight interventions (i.e., Stability, Loss, Bibliotherapy), followed by a smoking cessation intervention. Stability and Loss conditions received different types of self-weighing feedback. All participants received e-scales at baseline, to capture daily self-weighing data over 12 months. General linear models were applied to test the main objective. Results: Frequency of self-weighing was (mean ± SD) 2.67 ± 1.84 days/week. The Stability condition had significantly higher self-weighing frequency (3.18 ± 1.72 days/week) compared to the Loss (2.51 ± 1.99 days/week) and the Bibliotherapy conditions (2.22 ± 1.63 days/week). Adjusting for baseline weight and treatment condition, self-weighing 3-4 days/week was associated with weight stability (-0.77 kg, 95% CI: -2.2946, 0.7474, p = 0.3175), and self-weighing 5 or more days/week was associated with 2.26 kg weight loss (95% CI: -3.9249, -0.5953, p = 0.0080). Conclusions: Self-weighing may serve as a useful tool for weight gain prevention after smoking cessation. Feedback received about self-weighing behaviors and weight trajectory (similar to the feedback Stability participants received) might enhance adherence.

Exploratory analysis of reflective, reactive, and homeostatic eating behaviour traits on weight change during the 18-month NoHoW weight maintenance trial.

Behaviour change interventions for weight management have found varied effect sizes and frequent weight re-gain after weight loss. There is interest in exploring whether differences in eating behaviour can be used to develop tailored weight management programs. This secondary analysis of an 18-month weight maintenance randomised controlled trial (RCT) aimed to investigate the association between individual variability in weight maintenance success and change in eating behaviour traits (EBT). Data was analysed from the NoHoW trial (Scott et al., 2019), which was designed to measure processes of change after weight loss of ≥5% body weight in the previous year. The sample included 1627 participants (mean age = 44.0 years, SD = 11.9, mean body mass index (BMI) = 29.7 kg/m2, SD = 5.4, gender = 68.7% women/31.3% men). Measurements of weight (kg) and 7 EBTs belonging to domains of reflective, reactive, or homeostatic eating were taken at 4 time points up to 18-months. Increases in measures of 'reactive eating' (binge eating, p < .001), decreases in 'reflective eating' (restraint, p < .001) and changes in 'homeostatic eating' (unlimited permission to eat, p < .001 and reliance on hunger and satiety cues, p < .05) were significantly and independently associated with concomitant weight change. Differences in EBT change were observed between participants who lost, maintained, or re-gained weight for all EBTs (p < .001) except for one subscale of intuitive eating (eating for physical reasons, p = .715). Participants who lost weight (n = 322) exhibited lower levels of reactive eating and higher levels of reflective eating than participants who re-gained weight (n = 668). EBT domains can identify individuals who need greater support to progress in weight management interventions. Increasing reflective eating and reducing reactive eating may enhance weight management success.

An Overview of Diet and Physical Activity for Healthy Weight in Adolescents and Young Adults with Type 1 Diabetes: Lessons Learned from the ACT1ON Consortium.

The prevalence of overweight and obesity in young people with type 1 diabetes (T1D) now parallels that of the general population. Excess adiposity increases the risk of cardiovascular disease, which is already elevated up to 10-fold in T1D, underscoring a compelling need to address weight management as part of routine T1D care. Sustainable weight management requires both diet and physical activity (PA). Diet and PA approaches must be optimized towards the underlying metabolic and behavioral challenges unique to T1D to support glycemic control throughout the day. Diet strategies for people with T1D need to take into consideration glycemic management, metabolic status, clinical goals, personal preferences, and sociocultural considerations. A major barrier to weight management in this high-risk population is the challenge of integrating regular PA with day-to-day management of T1D. Specifically, exercise poses a substantial challenge due to the increased risk of hypoglycemia and/or hyperglycemia. Indeed, about two-thirds of individuals with T1D do not engage in the recommended amount of PA. Hypoglycemia presents a serious health risk, yet prevention and treatment often necessitates the consumption of additional calories, which may prohibit weight loss over time. Exercising safely is a concern and challenge with weight management and maintaining cardiometabolic health for individuals living with T1D and many healthcare professionals. Thus, a tremendous opportunity exists to improve exercise participation and cardiometabolic outcomes in this population. This article will review dietary strategies, the role of combined PA and diet for weight management, current resources for PA and glucose management, barriers to PA adherence in adults with T1D, as well as findings and lessons learned from the Advancing Care for Type 1 Diabetes and Obesity Network (ACT1ON).

Postmenopausal women's experiences of weight maintenance following a very low energy diet.

Introduction: Very low energy diets (VLEDs) effectively induce substantial weight loss in people with obesity, yet they are rarely used as a first line treatment. There is a belief that such diets do not teach the lifestyle behavior changes needed for long-term weight maintenance. However, little is known about the lived experiences of people who have lost weight on a VLED in the long term. Methods: This study aimed to explore the behaviors and experiences of postmenopausal women who had followed a 4-month VLED (using total meal replacement products [MRPs]), followed by a food-based, moderately energy-restricted diet for an additional 8 months, as part of the TEMPO Diet Trial. Qualitative in-depth semi-structured interviews were conducted with 15 participants at 12 or 24 months (i.e., at 8 or 20 months post diet completion). Transcribed interviews were analyzed thematically using an inductive approach. Results: Undertaking a VLED was reported by participants to confer advantages in weight maintenance that previous weight loss attempts had not been able to do for them. Firstly, the rapid and significant weight loss, in conjunction with ease of use, was motivational and helped instill confidence in the participants. Secondly, the cessation of a normal diet during the VLED was reported by participants to break weight gain-inducing habits, allowing them to abandon unhelpful habits and to introduce in their place more appropriate attitudes toward weight maintenance. Lastly, the new identity, helpful habits and increased self-efficacy around weight loss supported participants during weight maintenance. Additionally, participants reported that ongoing occasional use of MRPs provided a useful and easy new strategy for countering weight regain and supporting their weight maintenance regimen. Conclusion: Among the participants in this qualitative study, most of whom had maintained a loss of over 10% of their baseline body weight at the time of interview, using a VLED in the context of a clinical weight loss trial conferred confidence, motivation and skills for weight maintenance. These findings indicate that VLEDs with clinical support could be successfully leveraged to set up behaviors that will support weight maintenance in the long term.

Impact of the built, social, and food environment on long-term weight loss within a behavioral weight loss intervention.

Background: Behavioral weight loss interventions can lead to an average weight loss of 5%-10% of initial body weight, however there is wide individual variability in treatment response. Although built, social, and community food environments can have potential direct and indirect influences on body weight (through their influence on physical activity and energy intake), these environmental factors are rarely considered as predictors of variation in weight loss. Objective: Evaluate the association between built, social, and community food environments and changes in weight, moderate-to-vigorous physical activity (MVPA), and dietary intake among adults who completed an 18-month behavioral weight loss intervention. Methods: Participants included 93 adults (mean ± SD; 41.5 ± 8.3 years, 34.4 ± 4.2 kg/m2, 82% female, 75% white). Environmental variables included urbanicity, walkability, crime, Neighborhood Deprivation Index (includes 13 social economic status factors), and density of convenience stores, grocery stores, and limited-service restaurants at the tract level. Linear regressions examined associations between environment and changes in body weight, waist circumference (WC), MVPA (SenseWear device), and dietary intake (3-day diet records) from baseline to 18 months. Results: Grocery store density was inversely associated with change in weight (ß = -0.95; p = 0.02; R 2 = 0.062) and WC (ß = -1.23; p < 0.01; R 2 = 0.109). Participants living in tracts with lower walkability demonstrated lower baseline MVPA and greater increases in MVPA versus participants with higher walkability (interaction p = 0.03). Participants living in tracts with the most deprivation demonstrated greater increases in average daily steps (ß = 2048.27; p = 0.02; R 2 = 0.039) versus participants with the least deprivation. Limited-service restaurant density was associated with change in % protein intake (ß = 0.39; p = 0.046; R 2 = 0.051). Conclusion: Environmental factors accounted for some of the variability (<11%) in response to a behavioral weight loss intervention. Grocery store density was positively associated with weight loss at 18 months. Additional studies and/or pooled analyses, encompassing greater environmental variation, are required to further evaluate whether environment contributes to weight loss variability.

Metabolic profiles reflect weight loss maintenance and the composition of diet after very-low-energy diet.

BACKGROUND & AIMS: Diet and weight loss affect circulating metabolome. However, metabolite profiles induced by different weight loss maintenance diets and underlying longer term weight loss maintenance remain unknown. Herein, we investigated after-weight-loss metabolic signatures of two isocaloric 24-wk weight maintenance diets differing in satiety value due to dietary fibre, protein and fat contents and identified metabolite features that associated with successful weight loss maintenance. METHODS: Non-targeted LC-MS metabolomics approach was used to analyse plasma metabolites of 79 women and men (mean age ± SD 49.7 ± 9.0 years; BMI 34.2 ± 2.5 kg/m2) participating in a weight management study. Participants underwent a 7-week very-low-energy diet (VLED) and were thereafter randomised into two groups for a 24-week weight maintenance phase. Higher satiety food (HSF) group consumed high-fibre, high-protein, and low-fat products, while lower satiety food (LSF) group consumed isocaloric low-fibre products with average protein and fat content as a part of their weight maintenance diets. Plasma metabolites were analysed before the VLED and before and after the weight maintenance phase. Metabolite features discriminating HSF and LSF groups were annotated. We also analysed metabolite features that discriminated participants who maintained ≥10% weight loss (HWM) and participants who maintained <10% weight loss (LWM) at the end of the study, irrespective of the diet. Finally, we assessed robust linear regression between metabolite features and anthropometric and food group variables. RESULTS: We annotated 126 metabolites that discriminated the HSF and LSF groups and HWM and LWM groups (p < 0.05). Compared to LSF, the HSF group had lower levels of several amino acids, e.g. glutamine, arginine, and glycine, short-, medium- and long-chain acylcarnitines (CARs), odd- and even-chain lysoglycerophospholipids, and higher levels of fatty amides. Compared to LWM, the HWM group in general showed higher levels of glycerophospholipids with a saturated long-chain and a C20:4 fatty acid tail, and unsaturated free fatty acids (FFAs). Changes in several saturated odd- and even-chain LPCs and LPEs and fatty amides were associated with the intake of many food groups, particularly grain and dairy products. Increase in several (lyso)glycerophospholipids was associated with decrease in body weight and adiposity. Increased short- and medium-chain CARs were related to decreased body fat-free mass. CONCLUSIONS: Our results show that isocaloric weight maintenance diets differing in dietary fibre, protein, and fat content affected amino acid and lipid metabolism. Increased abundances of several phospholipid species and FFAs were related with greater weight loss maintenance. Our findings indicate common and distinct metabolites for weight and dietary related variables in the context of weight reduction and weight management. The study was registered in isrctn.org with identifier 67529475.