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This study evaluates the maintenance of a clinically meaningful weight loss (≥ 5 %) after 12 and 36 months of participation in an intervention to promote fruit and vegetable (FV) consumption. A randomised controlled trial was conducted in a primary health care service. For 7 months, participants in the control group (CG) and in the intervention group (IG) performed guided physical exercise three times/week; the IG also participated in collective activities to promote FV consumption. This study selected participants (n 267) who showed clinically meaningful weight loss after nutritional intervention. Sociodemographic, health and body weight data were collected in a face-to-face interview at baseline (T0) and after intervention (T1). Participants were reassessed after 12 (T2) and 36 months (T3) by telephone interview, and the self-reported weight was corrected. The outcome measures weight changes at three time points: M1, comparing T2 with T1; M2, comparing T3 with T2; and M3, comparing T3 with T1. The generalised estimating equation, adjusted for individual characteristics, was used. Participants in the CG showed an increase of 4·2 kg (P < 0·001) at M1 and 4·6 kg (P < 0·001) at M3, while IG individuals showed an increase of 3·6 kg (P < 0·001) at M1 and 3·8 kg (P < 0·001) at M3. The between-group analyses show the effect of nutritional intervention on the maintenance of weight loss at M2 (P = 0·033). Although CG and IG participants increased in weight, the nutritional intervention was associated with maintenance over the long term. This reveals the importance of the promotion of FV consumption for body weight maintenance. [ABSTRACT FROM AUTHOR]

Background: Obesity has a significant impact on healthcare resources with limited accessible support available through the NHS. This service evaluation determines 24-month efficacy of referral to an open-group behavioral program by BMI category and socioeconomic status. Methods: This retrospective, longitudinal study examined weight outcomes of adults living in England referred by healthcare professionals to Slimming World during 2016 who recorded at least 1 weight change. Primary outcome was % weight change at 3, 6, 12, and 24 months. Socioeconomic status was measured using the Index of Multiple Deprivation (IMD). Data from a post-referral questionnaire investigated self-reported changes in dietary and activity behaviors. Results: Twenty-seven thousand five hundred sixty (15.6% male) records were analyzed. Mean (SD) age and BMI on joining were 48.6 (14.80) years and 37.1 (6.31) kg/m2; 91.7% had a BMI > 30 kg/m2. Mean (SD) % weight change was −5.6 (3.79), −7.1 (5.71), −7.5 (6.88), and −7.3 (6.88) at 3, 6, 12, and 24-months, respectively. At 24- months, differences in weight loss between BMI category were significant, ranging from 0.29% (35-<40 vs 40+) to 1.33% (25-<30 vs 40+). For IMD quintile only comparisons against Q1 and Q2 were significant, ranging between 0.36% (Q2 vs Q3) to 0.94% (Q1 vs Q5). Five thousand eight hundred sixty-two (21.2%) completed the post-referral questionnaire. There were no BMI category effects on dietary behaviors but changes in physical activity behaviors were lower within the higher categories albeit effect sizes were small (all ges < 0.001). IMD quintile influenced changes for sugary drinks, watching TV and avoiding moderate activity although effect sizes were small (all ges < 0.01). Conclusion: Following 12-week referral to a commercial weight management organization, a mean weight loss of over 7% was reported at 24-months. Adults with higher BMIs and a greater level of deprivation can benefit from the practical support offered as part of the referral, supporting weight loss and weight loss maintenance albeit with some inequality. [ABSTRACT FROM AUTHOR]

Obesity is a chronic disease, and while weight loss is achievable, long-term weight loss maintenance is difficult and relapse common for people living with obesity. Aiming to meet the need for innovative approaches, digital behavior change interventions show promise in supporting health behavior change to maintain weight after initial weight loss. Implementation of such interventions should however be part of the design and development processes from project initiation to facilitate uptake and impact. Based on the development and implementation process of eCHANGE, an evidenceinformed application-based self-management intervention for weight loss maintenance, this manuscript provides suggestions and guidance into; (1) How a service design approach can be used from initiation to implementation of digital interventions, and (2) How a technology transfer process can accelerate implementation of research-based innovation from idea to market. [ABSTRACT FROM AUTHOR]

Early slow weight loss during treatment is associated with less weight loss overall. The impact of an augmented intervention designed for early slow weight loss responders compared with a standard diabetes prevention intervention was evaluated following 12 months of treatment and 6 months of no contact. The impact of standard vs. augmented intervention sequences on weight and glycemia also was determined. Adults were ≥21 years old with overweight or obesity and prediabetes (n = 174). Slow responders were stratified to augmented treatment if they failed to achieve >2.5% weight loss (%WL) at Week 5. Matched within-sex pairs of participants were created based on %WL at Month 5 following the intensive intervention phase, and each person within the pair was randomly assigned to treatment for Months 5–12 during the extended intervention phase. Both 12-month interventions included a ≥7%WL goal. Mean 12-month %WL was 5.29% (95% CI: 4.27%–6.31%; P <.0001) and 18-month %WL was 3.34% (95% CI: 2.01%–4.66%; P <.0001) overall. %WL was greater for the standard (9.55%) than the augmented (4.0%) intervention (P =.0001); no differences occurred in weight regain between early and slow responders (P =.9476). No differences occurred in mean %WL at 12 months between the standard and augmented groups after controlling for %WL at Week 5 and sex (P =.23) nor in the change in glycemia (all P >.05). WL following the first month of treatment predicted 12- and 18-month WL success regardless of intervention sequence; however, even early slow responders achieved significant WL during treatment. Further research is needed to support effective WL maintenance for people with prediabetes. [ABSTRACT FROM AUTHOR]

The objective of this narrative study was to explore experiences and assigned meanings in stories about self-directed weight loss (WL) maintenance after severe obesity (SO). In-depth interviews were conducted with eight women and two men, aged 27 to 59 years, who had carried out self-directed WL from SO for 5 years or more. fear of weight-regain, and food and emotion. We performed a case-based narrative analysis of especially rich interviews that illustrate these. Results pointed to persistently cultivating new competencies, establishing new eating habits, re-establishing old physical-training habits, and forming new relational bonds. Participants reinvented themselves and their lives. However, the stories are not all about transformation, but also about new and old health problems. The study directs attention to 'different obesities', not only to initial weight from which WL takes place, but also linked to the experiential horizons that the persons embody from childhood on. Furthermore, there was no way back in the present stories, always haunted in the wake of the lost weight. A double burden imposed on the person with obesity related to meta-stories in society deepens the understanding of this imperative: being vulnerable health-wise and exposed to stigmatization. [ABSTRACT FROM AUTHOR]

Purpose: Overly rigid forms of dietary restraint are associated with poorer weight loss outcomes. Dichotomous ("all or nothing") thinking has been shown to mediate this relationship in non-clinical participants, but this finding has yet to be replicated in clinical samples of individuals who have had weight-loss surgery. Materials and Methods: A cross-sectional design was used, adopting quantitative questionnaires with 129 individuals who had previously underwent bariatric surgery at least 12 months prior to participation. Bootstrapped mediation analysis was used to establish the mediating role of dichotomous thinking. Results: Eating-specific dichotomous thinking was shown to fully mediate the relationship between dietary restraint and post-surgical weight loss. In contrast, no mediation effect was found for generalised dichotomous thinking. Conclusion: Dichotomous thinking specifically about food/eating may play a central role in weight loss maintenance after weight-loss surgery. Pre-surgical assessment of dichotomous thinking, and provision of psychological therapy to think more flexibly about food, is suggested. [ABSTRACT FROM AUTHOR]

Abstract Background Behavioral weight loss programs often lead to significant short‐term weight loss, but long‐term weight maintenance remains a challenge. Most weight maintenance data come from clinical trials, in‐person programs, or general population surveys, but there is a need for better understanding of long‐term weight maintenance in real‐world digital programs. Methods This observational survey study examined weight maintenance reported by individuals who had used Noom Weight, a digital commercial behavior change program, and identified factors associated with greater weight maintenance. The cross‐sectional survey was completed by 840 individuals who had lost at least 10% of their body weight using Noom Weight 6–24 months prior. Results The study found that 75% of individuals maintained at least 5% weight loss after 1 year, and 49% maintained 10% weight loss. On average, 65% of initial weight loss was maintained after 1 year and 57% after 2 years. Habitual behaviors, such as healthy snacking and exercise, were associated with greater weight maintenance, while demographic factors were not. Conclusion This study provides real‐world data on the long‐term weight maintenance achieved using a fully digital behavioral program. The results suggest that Noom Weight is associated with successful weight maintenance in a substantial proportion of users. Future research will use a randomized controlled trial to track weight maintenance after random assignment and at a 2 year follow‐up.

Surgical interventions, such as laparoscopic sleeve gastrectomy (LSG), are frequently associated with significant weight loss. However, the initiation and maintenance of this weight reduction are multifaceted processes influenced by genetic, psychological, behavioral, dietary, and metabolic factors. This review examined the role of metabolic hormones, specifically serotonin, in sustaining weight loss post-LSG. A systematic evaluation of six research articles obtained from Scopus, PubMed, and Cochrane was conducted, focusing on the role of serotonin in weight loss maintenance. We included randomized controlled trials involving adults over 18 years. Studies lacking an intensive weight regulation approach were excluded. Information was systematically extracted and analyzed from the selected studies, with data on intervention and control groups summarized in tables to compare outcomes one year post-LSG. The findings revealed a complex interplay between serotonin and its role in weight maintenance after sleeve gastrectomy. While some studies demonstrated successful weight loss maintenance with serotonin intervention, the systematic review found no association between serotonin and weight loss maintenance. Factors beyond serotonin levels, including individual motivation, behavioral strategies, and physical activity, were identified as crucial contributors to sustained weight loss. While the results may not demonstrate a recognizable association between serotonin and weight loss maintenance, the significance of this review lies in its contribution to the existing body of knowledge. By synthesizing current evidence, the study adds a nuanced perspective to understanding factors influencing post-LSG outcomes. [ABSTRACT FROM AUTHOR]

Background: People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management. Methods: Six hundred and nine participants in the International Weight Control Registry (IWCR) were eligible for this analysis (PWD, n = 174; PWoD, n = 435). Self‐reported weight history metrics were compared using general linear models. Perceived weight history category was compared using Chi‐squared tests. Importance of diet and physical activity strategies for weight management were compared using Wilcoxon rank‐signed tests. Results: PWD reported higher current body mass index (BMI) (36.1 ± 0.7 vs. 31.0 ± 0.5; p < 0.0001) and more weight loss attempts (9.1 ± 0.7 vs. 7.1 ± 0.4; p = 0.01) than PWoD. Current weight loss percentage (PWD 13.0 ± 1.0; PWoD, 13.0 ± 0.6; p = 0.97) and weight loss category (χ2 [3, N = 609] = 2.9057, p = 0.41) did not differ between the groups. There were no differences in any weight strategy between PWD who were successful and those who regained. Conclusions: PWD and PWoD in the IWCR achieved similar levels of weight maintenance success. However, higher BMI and more weight loss attempts suggest that PWD may face challenges with weight management. More research is needed to identify strategies leading to success for PWD. [ABSTRACT FROM AUTHOR]

Abstract Background People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management. Methods Six hundred and nine participants in the International Weight Control Registry (IWCR) were eligible for this analysis (PWD, n = 174; PWoD, n = 435). Self‐reported weight history metrics were compared using general linear models. Perceived weight history category was compared using Chi‐squared tests. Importance of diet and physical activity strategies for weight management were compared using Wilcoxon rank‐signed tests. Results PWD reported higher current body mass index (BMI) (36.1 ± 0.7 vs. 31.0 ± 0.5; p

Maintaining weight loss long-term is a difficult challenge for most people. Weight loss is often temporary and results in progressive weight regain. Previous research has focused on extension of weight loss methods and behavioral changes through the weight loss maintenance period without specific attention to skills specific to the maintenance phase. Further, emotional health has largely gone untested for how positive psychology influences successful long-term weight loss. We employed quantitative methodologies with a descriptive design, using individuals who self-attested to losing over 5% of their highest body weight and the Adult Hope Scale to measure participants' perceptions of their positive motivational state in weight loss maintenance. Calculations of frequencies and percentages, including median and interquartile range where appropriate, were conducted and figures and tables were used to compare demographic statistics. The findings showed that participants scored high on levels of agency (i.e., goal-setting skills) and pathway (i.e., implementation skills) scores with high overall hope scores in relation to their successful long-term weight loss. The findings indicate potential key skills to weight loss maintenance, with positive emotional health skills being indicated as potential healthy markers for positive weight regulation longterm. [ABSTRACT FROM AUTHOR]

Background: Behavioral weight loss programs often lead to significant short‐term weight loss, but long‐term weight maintenance remains a challenge. Most weight maintenance data come from clinical trials, in‐person programs, or general population surveys, but there is a need for better understanding of long‐term weight maintenance in real‐world digital programs. Methods: This observational survey study examined weight maintenance reported by individuals who had used Noom Weight, a digital commercial behavior change program, and identified factors associated with greater weight maintenance. The cross‐sectional survey was completed by 840 individuals who had lost at least 10% of their body weight using Noom Weight 6–24 months prior. Results: The study found that 75% of individuals maintained at least 5% weight loss after 1 year, and 49% maintained 10% weight loss. On average, 65% of initial weight loss was maintained after 1 year and 57% after 2 years. Habitual behaviors, such as healthy snacking and exercise, were associated with greater weight maintenance, while demographic factors were not. Conclusion: This study provides real‐world data on the long‐term weight maintenance achieved using a fully digital behavioral program. The results suggest that Noom Weight is associated with successful weight maintenance in a substantial proportion of users. Future research will use a randomized controlled trial to track weight maintenance after random assignment and at a 2 year follow‐up. [ABSTRACT FROM AUTHOR]

Background Preventing people from relapsing into unhealthy habits requires insight into predictors of relapse in weight loss maintenance behaviors. We aimed to explore predictors of relapse in physical activity and dietary behavior from the perspectives of health practitioners and persons who regained weight, and identify new predictors of relapse beyond existing knowledge. Methods We used concept mapping to collect data, by organizing eight concept mapping sessions among health practitioners (N=39, five groups) and persons who regained weight (N=21, three groups). At the start of each session, we collected participants’ ideas on potential predictors. Subsequently, participants individually sorted these ideas by relatedness and rated them on importance. We created concept maps using principal component analysis and cluster analysis. Results 43 predictors were identified, of which the majority belonged to the individual domain rather than the environmental domain. Although the majority of predictors were mentioned by both stakeholder groups, both groups had different opinions regarding their importance. Also, some predictors were mentioned by only one of the two stakeholder groups. Practitioners indicated change in daily structure, stress, maladaptive coping skills, habitual behavior, and lack of self-efficacy regarding weight loss maintenance as most important recurrent (mentioned in all groups) predictors. Persons who regained weight indicated lifestyle imbalance or experiencing a life event, lack of perseverance, negative emotional state, abstinence violation effect, decrease in motivation and indulgence as most important recurrent predictors. Conclusions For several predictors associations with relapse were shown in prior research; additionally, some new predictors were identified that have not been directly associated with relapse in weight loss maintenance behaviors. Our finding that both groups differed in opinion regarding the importance of predictors or identified different predictors, may provide an opportunity to enhance lifestyle coaching by creating more awareness of these possible discrepancies and including both points of view during coaching.

Participants who receive continued coach contact following behavioral weight loss treatment are more successful in maintaining their weight loss long-term. The current study examines whether these contacts have dynamic effects, such that participants are most adherent to the prescribed weight loss behaviors in the days after the call, when motivation and goal salience may be heightened, than they are as time goes on. The current study examined the trajectory of calorie intake, physical activity, weight, and self-monitoring behavior in the fourteen days after a monthly coaching call among participants completing the maintenance phase of a behavioral weight loss trial. For physical activity outcomes, caloric intake, and weight, there were no changes across time. Participants did have the highest adherence and quality of dietary self-monitoring immediately after the call, which diminished over time. Coach contact may continually renew commitment to this burdensome but critical behavior. Likelihood of self-weighing showed an opposite trend, where participants were more likely to weigh themselves in the days more distal from the coach call. Results can inform the timing and content of future coach contact to promote weight control. [ABSTRACT FROM AUTHOR]

Background When losing weight, most individuals find it difficult to maintain a healthy diet. Social environmental conditions are of pivotal importance in determining dietary behavior. To prevent individuals from lapsing, insight in social environmental predictors of lapse in dietary behavior is needed. Purpose Identify social environmental predictors of lapse in dietary behavior, using ecological momentary assessment (EMA) amongst Dutch adults trying to lose weight. Methods Adults (N = 81) participated in two 7-day EMA weeks. Six times a day semi-random prompts were sent. At each prompt, participants indicated whether a lapse had occurred and responded to questions assessing social support, descriptive norm, injunctive norm, social pressure, presence of others, and current location. Generalized estimating equations were used to examine associations with lapse. Results Injunctive norm (OR = 1.07, 95% CI = 1.03–1.11), descriptive norm (OR = 1.04, 95% CI = 1.02–1.07), and social pressure (OR = 1.09, 95% CI = 1.05–1.14), all toward diverting from diet plans, predicted lapses. Social support toward sticking to diet plans and presence of others did not predict lapses. When controlling for a prior lapse, all other associations became nonsignificant. Lapses occurred most often at home and gradually occurred more often during the day. Conclusions Traditional public health perspectives have mainly focused on individual choice and responsibility for overweight related unhealthy lifestyles. This study shows that there may be opportunities to enhance intervention programs by also focusing on social norms and social pressure. The involvement of partners or housemates may create more awareness of the impact of (unintentional) social pressure on risk of lapsing, and reduce the level of exerted social pressure. [ABSTRACT FROM AUTHOR]

Background: Although plenty of evidence indicates that weight loss maintainers are highly physically active, studies focusing on the sex-specific differences in activity levels between maintainers and regainers are scarce. The authors aimed to investigate sex-specific differences in activity patterns in a cohort of Mediterranean maintainers and regainers. Methods: Sample includes 756 participants of the MedWeight registry (60.5% women), aged 18–65 years, who lost ≥10% of their initial weight, and either maintained their loss for ≥12 months or regained it. Participants completed a series of questionnaires, including demographics and weight history. Activity levels were evaluated with the International Physical Activity Questionnaire-short version. Results: Maintainers of both sexes were, in total, more active than their same-sex regainers. When specific activities were considered, women maintainers spent more time walking than regainers (Padjusted =.02), whereas men maintainers spent more time in vigorous activities (Padjusted =.001) and walking than regainers (Padjusted =.001). Modest increments in activity of sex-relevant intensity were associated with increased odds for maintenance. Conclusions: Maintainers attained a more active lifestyle than their same-sex regainers, involving more walking for both sexes and more vigorous activities for men. The detected differences, according to activity intensity, support that activity patterns associated with successful weight loss are distinguishable between sexes. [ABSTRACT FROM AUTHOR]

Long term improvement of body weight and metabolism is highly requested in obesity. The specific impact of weight loss associated temporary negative energy balance or modified body composition on metabolism and weight regain is unclear. We randomly assigned 80 post-menopausal women (BMI 33.9 (32.2–36.8)kg/m2) to an intervention (IG) or control group (CG). IG underwent a dietary three month-weight loss intervention followed by a four week-weight maintenance period without negative energy balance. The CG was instructed to keep their weight stable. Phenotyping was performed at baseline (M0), after weight loss (M3), the maintenance period (M4) and 24-month follow-up (M24). Co-primary outcomes were changes of insulin sensitivity (ISI Clamp) and lean body mass (LBM). Energy metabolism and adipose gene expression were secondary endpoints. Between March 2012 and July 2015, 479 subjects were screened for eligibility. 80 subjects were randomly assigned to IG (n = 40) or CG (n = 40). The total number of dropouts was 18 (IG: n = 13, CG: n = 5). LBM and ISI Clamp were stable in the CG between M0 and M3, but were changed in the IG at M3 (LBM: −1.4 (95%CI -2.2-(-0.6)) kg and ISI Clamp : +0.020 (95%CI 0.012–0.028) mg·kg−1·min−1/(mU·l−1)) (p < 0.01 and p < 0.05 for IG vs. CG, respectively). Effects on LBM, ISI Clamp , FM and BMI were preserved until M4. Lower resting energy expenditure per LBM (REE LBM) at M3 and stronger difference of REE LBM between M3 and M4 (ΔREE LBM-M3M4), which indicates a thrifty phenotype, were positively associated with FM regain at M24 (p = 0.022 and p = 0.044, respectively). Gene set enrichment analysis revealed a relationship of this phenotype to weight loss-induced adaption of adipose FGFR1 signaling. Negative energy balance had no additional effect on insulin sensitivity. FGFR1 signaling might be involved in the adaption of energy expenditure to temporary negative energy balance, which indicates a thrifty phenotype susceptible to weight regain. ClinicalTrials.gov number: NCT01105143, https://clinicaltrials.gov/ct2/show/NCT01105143 , date of registration: April 16th, 2010 [ABSTRACT FROM AUTHOR]

Objectives: Preference information is increasingly being elicited to support decision-making. Although discrete choice experiments (DCEs) are commonly used, little is known about how respondents' relative experience of a health issue, and its treatment, might impact the results of preference studies. The aim of this study was to explore how preferences differ between groups of individuals with varying levels of experience of a health issue and its treatment, using a weight loss maintenance (WLM) programme as a case study. Methods: An online DCE survey was provided to four groups, each differing in their level of experience with weight loss and WLM programmes. One group was recruited from a randomised controlled trial of a WLM programme (ISRCTN14657176) and the other three from an online panel. Choice data were analysed using mixed logit models. Relative attribute importance scores and willingness-to-pay (WTP) estimates were estimated to enable comparisons between groups. Results: Preferences differed between the groups across different attributes. The largest differences related to the outcome (weight re-gain) and cost attributes, resulting in WTP estimates that were statistically significantly different. The most experienced group was willing to pay £0.35 (95% CI: £0.28, £0.42) to avoid a percentage point increase in weight re-gain, compared with £0.12 (95% CI: £0.08, £0.16) for the least experienced group. Conclusion: This study provides evidence in a public health setting to suggest that preferences differ based on respondent experience of the health issue and its treatment. Health preference researchers should therefore carefully consider the appropriate composition of their study samples. [ABSTRACT FROM AUTHOR]

Aims: As sustained weight loss is vital for achieving remission of type 2 diabetes, we explored whether randomisation to weight loss plus maintenance in the DiRECT trial was associated with physical activity, inactivity or sleep. Methods: Participants were randomised to either a dietary weight management programme or best‐practice care. The weight management group were encouraged to increase daily physical activity to their sustainable maximum. Objective measurement was achieved using a wrist‐worn GENEActiv accelerometer for 7 days at baseline, 12 and 24 months in both groups. Results: Despite average weight loss of 10 kg at 12 months in the intervention (n = 66) group, there were no differences in total physical activity or inactivity compared with the control (n = 104) at any time point. However, in our exploratory analysis, those who lost more than 10% of their baseline body weight performed on average 11 mins/day more light activity than the <10% group at 24 months (p = 0.033) and had significantly lower bouts of Inactivity30min (interaction, p = 0.005) across 12 and 24 months. At 24 months, the ≥10% group had higher daily acceleration (38.5 ± 12.1 vs. 33.2 ± 11.1 mg, p = 0.020), and higher accelerations in the most active 5‐hour period (59.4 ± 21.8 vs. 50.6 ± 18.3 mg, p = 0.023). Wakefulness after sleep onset decreased in the intervention group compared with the control group and also in the ≥10% weight loss group at 12 and 24 months. Conclusions: Randomisation to a successful intensive weight loss intervention, including regular physical activity encouragement, was not associated with increased physical activity although sleep parameters improved. Physical activity was greater, and night‐time waking reduced in those who maintained >10% weight loss at 12 and 24 months. TRIAL REGISTRATION ISRCTN03267836. [ABSTRACT FROM AUTHOR]

Long-term weight loss maintenance is often difficult to achieve. This review analysed qualitative data on self-perceived barriers and facilitators of weight loss and weight loss maintenance among weight loss intervention participants. A literature search was conducted using electronic databases. Qualitative studies written in English and published between 2011–2021 were eligible for inclusion if they explored the perspectives and experiences of individuals who received standardised dietary and behavioural support for weight loss. Studies were excluded if weight loss was achieved through self-directed methods, only increasing physical activity, or surgical or pharmacological interventions. Fourteen studies were included, totaling 501 participants from six countries. Thematic analysis was used to identify four aggregate themes: internal factors (i.e., motivation and self-efficacy), programme-specific factors (i.e., the intervention diet), social factors (i.e., supporters and saboteurs), and environmental factors (i.e., an obesogenic environment). Our findings demonstrate that internal, social, and environmental factors all influence weight loss success, as well as the acceptability of the weight loss intervention. Future interventions may be more successful if they prioritise participant acceptability and engagement by, for example, providing tailored interventions, a structured relapse management plan, strategies to enhance autonomous motivation and emotional self-regulation, and extended contact during weight loss maintenance. [ABSTRACT FROM AUTHOR]

ObjectiveThe aim of the study was to determine, within a weight loss clinical trial for obesity, the impact of intervention arm, weight change, and weight loss maintenance on telomere length (TL).MethodsAdults (N = 194) with a body mass index between 30 and 45 were randomized to a 5.5-month weight loss program with (n = 100) or without (n = 94) mindfulness training and identical diet-exercise guidelines. We assessed TL at baseline and 3-, 6-, and 12-month postbaseline in immune cell populations (primarily in peripheral blood mononuclear cells [PBMCs], but also in granulocytes and T and B lymphocytes). We defined weight loss maintenance as having lost at least 5% or 10% of body weight (tested in separate models) from preintervention to postintervention, and having maintained this loss at 12 months. We predicted that greater weight loss and weight loss maintenance would be associated with TL lengthening.ResultsNeither weight loss intervention significantly predicted TL change nor did amount of weight change, at any time point. Across all participants, weight loss maintenance of at least 10% was associated with longer PBMC TL (b = 239.08, 95% CI = 0.92 to 477.25, p = .049), CD8+ TL (b = 417.26, 95% CI = 58.95 to 775.57, p = .023), and longer granulocyte TL (b = 191.56, 95% CI = -4.23 to 387.35, p = .055) at 12 months after accounting for baseline TL. Weight loss maintenance of 5% or more was associated with longer PBMC TL (b = 163.32, 95% CI = 4.00 to 320.62, p = .045) at 12 months after accounting for baseline TL. These tests should be interpreted in light of corrections for multiple tests.ConclusionsAmong individuals with obesity, losing and maintaining a weight loss of 10% or more may lead to TL lengthening, which may portend improved immune and metabolic function. TL lengthening in this study is of unknown duration beyond 12 months and requires further study.Trial registrationClinicaltrials.govidentifierNCT00960414; Open Science Framework (OSF) preregistration: https://osf.io/t3r2g/.

Background Physical activity (PA) may promote long-term weight loss, but facilitating high levels of PA in behavioral weight loss programs is challenging. Purpose This study reports the 36-month follow-up of a behavioral weight loss trial that tested the efficacy of increasing the emphasis on PA during treatment and using traditional or acceptance-based therapy (ABT) for this purpose. We also examined the extent to which long-term weight loss differed by PA pattern and tested if individual differences in eating behavior moderated this relationship. Methods Participants (N = 320) were randomized to (1) standard behavioral weight loss treatment (BT), (2) BT with a focus on PA, or (3) ABT with a focus on PA. Weight loss and PA were measured at 24- and 36-month follow-up. Results There were no differences between conditions in weight loss or PA at 24 or 36 months. Participants consistently engaging in high PA experienced the greatest weight losses. The positive impact of PA on weight loss was more pronounced among those with low emotional eating and those who believed that exercise did not affect their appetite. Conclusions Findings emphasize the difficulty of improving long-term PA among adults with overweight/obesity beyond what standard behavioral weight loss treatment achieves. This study highlights the need to develop new PA treatment strategies, and suggests that ABT for weight loss may be more effective when applied to eating behavior versus PA. Results also demonstrate the importance of addressing problematic eating behavior and cognitions to fully realize the benefits of PA for weight loss. Clinical Trial information ClinicalTrials.gov identifier: NCT02363010 [ABSTRACT FROM AUTHOR]

Long-term weight loss maintenance represents a big challenge for the management of obesity. This narrative review aims to provide an overview of the main endocrine mechanisms involved in weight regain in subjects with obesity and to review the current evidence on the best lifestyle approaches, including diet and physical activity. Weight regain after weight loss occurs in about 50% of subjects with obesity in the absence of lifestyle changes. The primary endocrine mechanism responsible for weight regain involves the brain-gut axis, which encourages food intake and thus weight regain through the secretion and action of several gastrointestinal hormones, such as ghrelin, leptin and cholecystokinin. Several evidence reported changes of secretion of these hormones during weight loss and weight loss maintenance programs. Endurance training is the most effective physical activity to lose and keep weight loss; the association of endurance with resistance training is recommended for remodelling body shape. [ABSTRACT FROM AUTHOR]

Individual lifestyle targets have been associated with weight loss outcomes, yet few studies have examined associations of one's total lifestyle with weight loss maintenance. We aimed to examine the relationship between lifestyle patterns and weight loss outcomes in weight loss maintainers and regainers. We hypothesized that higher adherence to a broader healthy lifestyle favors maintenance (over regain). This is a cross-sectional analysis of 470 adults (62% women) with a history of overweight/obesity and significant weight loss 12 months before study entry. Participants were classified as maintainers (current weight ≤90% maximum weight) or regainers. They were asked to fill in a series of questionnaires on demographics and lifestyle habits (dietary intake and eating behaviors through two 24-hour recalls, physical activity, and sleep). A total Mediterranean Lifestyle Index (total-MLI, range 0-13) was generated by summing up ratings in the lifestyle domain quartiles (diet quality, physical activity, and sleep habits) and dietary behaviors (seasonal food and vegetable intake, intake of traditional foods, responsibility for food preparation, conviviality). Maintainers scored higher in the total-MLI than regainers (6.93 ± 2.31 vs 5.78 ± 2.49, P <.001). Adherence to the total-MLI was associated with 28% higher odds for weight loss maintenance (per unit increment) in linear analyses. Being in the highest total-MLI quartile was associated with 5.27 (95% CI, 2.77-10.02) odds for maintenance. Higher adherence to a comprehensive Mediterranean lifestyle pattern was associated with higher odds for weight loss maintenance. Our findings suggest that even modest shifts toward a healthier living may contribute to favorable weight loss outcomes. A lifestyle index, based on the Mediterranean lifestyle, was created and applied in a cohort of adults with a history of weight loss. High adherence to the proposed lifestyle was associated with 5-fold increased odds for weight loss maintenance (compared with weight regain). Even modest changes in the lifestyle may contribute to long-term weight loss, and, to further this, comprehensive lifestyle interventions for weight loss maintenance are needed. MLI, Mediterranean Lifestyle Index. [Display omitted] [ABSTRACT FROM AUTHOR]

Preventing people from relapsing into unhealthy habits requires insight into predictors of relapse in weight loss maintenance behaviors. We aimed to explore predictors of relapse in physical activity and dietary behavior from the perspectives of health practitioners and persons who regained weight, and identify new predictors of relapse beyond existing knowledge. We used concept mapping to collect data, by organizing eight concept mapping sessions among health practitioners (N=39, five groups) and persons who regained weight (N=21, three groups). At the start of each session, we collected participants' ideas on potential predictors. Subsequently, participants individually sorted these ideas by relatedness and rated them on importance. We created concept maps using principal component analysis and cluster analysis. 43 predictors were identified, of which the majority belonged to the individual domain rather than the environmental domain. Although the majority of predictors were mentioned by both stakeholder groups, both groups had different opinions regarding their importance. Also, some predictors were mentioned by only one of the two stakeholder groups. Practitioners indicated change in daily structure, stress, maladaptive coping skills, habitual behavior, and lack of self-efficacy regarding weight loss maintenance as most important recurrent (mentioned in all groups) predictors. Persons who regained weight indicated lifestyle imbalance or experiencing a life event, lack of perseverance, negative emotional state, abstinence violation effect, decrease in motivation and indulgence as most important recurrent predictors. For several predictors associations with relapse were shown in prior research; additionally, some new predictors were identified that have not been directly associated with relapse in weight loss maintenance behaviors. Our finding that both groups differed in opinion regarding the importance of predictors or identified different predictors, may provide an opportunity to enhance lifestyle coaching by creating more awareness of these possible discrepancies and including both points of view during coaching. [ABSTRACT FROM AUTHOR]

Background: Remotely delivered lifestyle interventions have emerged to increase the reach and accessibility of traditional interventions that involve numerous in-person visits. Remote interventions can be delivered synchronously via videoconference software or phone or asynchronously via online platforms. Asynchronously delivered interventions are convenient and flexible in that they allow people to participate at any time and as such, they may be more sustainable. Evidence for asynchronous interventions is needed given their potential for convenience and sustainability, which may have implications for weight loss maintenance., Objective: This is a randomized noninferiority trial comparing 2 remotely delivered lifestyle interventions: one that is delivered synchronously via videoconference meetings and one that is delivered asynchronously through private Facebook (Meta) groups. We hypothesize that the percent weight loss difference between conditions at 6 and 12 months will be less than 2% and that the asynchronous condition will cost less to deliver per pound lost. We also hypothesize that engagement will be higher in the asynchronous condition at 12, 18, and 24 months and that the asynchronous condition will have greater weight loss at 24 months., Methods: We will randomize 328 participants with overweight or obesity to a remotely delivered lifestyle intervention that is delivered either synchronously or asynchronously. Delivery of the synchronous lifestyle intervention will be via videoconference group sessions, whereas the delivery of the asynchronous lifestyle intervention will be via private Facebook groups. The lifestyle intervention in both conditions is based on the Diabetes Prevention Program. The intervention goals are to lose 5%-10% of baseline weight and to work toward 300 minutes per week of moderate intensity physical activity. The core intervention will last for 12 months and be led by counselors in each group. This will be followed by a 12-month maintenance phase to be led by participant volunteers from each group. Participant engagement and weight loss maintenance will be assessed during this phase. The primary outcome is mean percent weight loss at 6 and 12 months. The noninferiority margin for differences in weight loss between conditions is 2% at both 6 and 12 months. We will model percent weight loss at 6 and 12 months using general linear regression models with the intent-to-treat sample. Secondary outcomes include engagement, collective efficacy, cost, and weight loss at 18 and 24 months., Results: The funding period began on August 17, 2023, and the study was approved by the University of Connecticut Institutional Review Board on August 17, 2023. Participant recruitment will begin December 2024 and the intervention will begin February 2024., Conclusions: If hypotheses are confirmed, this work will provide evidence that asynchronously delivered remote interventions are as efficacious as synchronously delivered ones and more sustainable such that people will engage in them longer and retain more weight loss for less cost., Trial Registration: ClinicalTrials.gov NCT06393725; https://tinyurl.com/4kzzwkc9., International Registered Report Identifier (irrid): PRR1-10.2196/65323., (©Sherry Pagoto, Ran Xu, Richard Bannor, Christie Idiong, Jared Goetz, Denise Fernandes. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 19.12.2024.)

Abstract Background There is a need to develop cost-effective weight loss maintenance interventions to prolong the positive impact of weight loss on health outcomes. Conducting pre-trial health economic modelling is recommended to inform the design and development of behavioural interventions. We aimed to use health economic modelling to estimate the maximum cost per-person (justifiable cost) of a cost-effective behavioural weight loss maintenance intervention, given an estimated intervention effect for individuals with: i) a Body Mass Index (BMI) of 28 kg/m2 or above without diabetes and ii) a diagnosis of type 2 diabetes prescribed a single non-insulin diabetes medication. Methods The School for Public Health Research Diabetes prevention model was used to estimate the lifetime Quality-adjusted life year (QALY) gains, healthcare costs, and maximum justifiable cost associated with a weight loss maintenance intervention. Based on a meta-analysis, the estimated effect of a weight loss maintenance intervention following a 9 kg weight loss, was a regain of 1.33 kg and 4.38 kg in years one and two respectively compared to greater regain of 2.84 kg and 5.6 kg in the control group. Sensitivity analysis was conducted around the rate of regain, duration of effect and initial weight loss. Results The justifiable cost for a weight loss maintenance intervention at an ICER of £20,000 per QALY was £104.64 for an individual with a BMI of 28 or over and £88.14 for an individual with type 2 diabetes. Within sensitivity analysis, this varied from £36.42 to £203.77 for the former, and between £29.98 and £173.05 for the latter. Conclusions Researchers developing a weight loss maintenance intervention should consider these maximum justifiable cost estimates and the potential impact of the duration of effect and initial weight loss when designing intervention content and deciding target populations. Future research should consider using the methods demonstrated in this study to use health economic modelling to inform the design and budgetary decisions in the development of a behavioural interventions.

Background: The present study aimed to examine motivations for food choice among long‐term weight loss maintainers (WLM) in a widely used commercial weight management program. Methods: A cross‐sectional study was employed where determinants of food choice were measured in the USA using validated scales: Food Choice Questionnaire, Consideration of Future Consequences, and Eating in the Absence of Hunger. Participants were 3806 WLM following a commercial weight management program (WW International, Inc.) who had maintained a weight loss ≥ 9.1 kg (mean 24.7 kg) for 3.3 years and had a body mass index (BMI) of 27.6 kg m2. A control group of weight stable individuals with obesity (controls; n = 519) had a BMI of 38.9 kg m2 and a weight change < 2.3 kg over the previous 5 years. Results: WLM vs. controls made food decisions more based on health (18.9 vs. 16.3; ηp2 = 0.052) and weight control (9.9 vs. 7.5; ηp2 = 0.16) and less based on price (8.4 vs. 9.1; ηp2 = 0.10). WLM also scored higher than controls with respect to considering future consequences of behaviours (44.3 vs. 38.4; ηp2 = 0.060) and reported less external eating in the absence of hunger (7.1 vs. 7.5; ηp2 = 0.058). Standard canonical coefficients indicated that making food choices based on weight (0.717) with less value placed on price (−0.33) and greater consideration of future consequences (0.262) contributed independently and most (overall r = 0.593; p = 0.0001) to discriminating WLM from controls. Conclusions: In a widely used commercial weight management program, successful WLM reported food decisions based more on weight and less on price and considered future consequences of current behaviours. Key points: Long‐term weight loss maintainers consume a diet that is low in calories and micronutrient rich, although the diverse factors that govern these food choices remain unclear.The present study examined diverse factors associated with food choice among weight loss maintainers in a widely used commercial weight management program (WW International, Inc.) compared to weight stable individuals with obesity ("controls").Weight loss maintainers more than controls made food decisions based on health and weight control and less based on price. Both groups scored similarly in the role of convenience, mood, sensory appeal, natural content, familiarity and ethical concerns.Weight loss maintainers were overall more likely to consider future consequences.In a widely used commercial weight management program (WW International, Inc.), successful weight loss maintainers reported food decisions based more on weight and health and less on price. They also considered future consequences of current behaviours. [ABSTRACT FROM AUTHOR]

It is unclear whether weight loss (WL) achieved by means of lifestyle interventions (LSIs) before bariatric surgery (BS) can improve long-term WL outcomes after surgery. We aimed to assess the impact of a structured LSI on WL% after gastric bypass (GBP). Two groups of patients were selected from a large cohort of participants with obesity who underwent GBP surgery at Santa Maria Nuova Hospital (Reggio Emilia, Italy). The groups were categorized as those who have or have not received LSI prior to GBP. The LSI group included 91 participants (cases) compared to 123 participants (controls) in the non-LSI group. WL% was measured at follow-up times of 1, 3, 6, 12, 24, 36, 48, and 60 months. The LSI group achieved a clinically significant WL% (−7.5%) before BS, and at the time of surgery, the two groups had similar body weights and demographic statuses. At all points, until the 24-month follow-up, the two groups displayed similar WLs%. With regard to the longer follow-ups, the LSI group maintained weight loss until the last timepoint (60 months), whereas the non-LSI group experienced weight regain at 36, 48, and 60 months. In a real-world context, a structured behavioral LSI prior to GBP seems to prevent longer-term weight regain. [ABSTRACT FROM AUTHOR]

Abstract Background This study examined the differences between maintainers and regainers regarding obesity related eating behaviors. A secondary objective was to develop an eating behavior index predicting the likelihood of successful weight loss maintenance. Methods The current cross-sectional evaluation conducted in Cyprus was part of the MedWeight (Greek) study. Eligible for participation were Cypriot (maintainers = 145; regainers = 87) adult men and women who reported being at least overweight (BMI ≥25 kg/m2) and experienced an intentional weight loss of ≥10% of their maximum lifetime weight, at least 1 year before participation. Among other assessments, weight-related behaviors were evaluated through Weight-Related Behaviors Index (WRBI). Results Statistically significant differences between the two groups were observed regarding meals per day (P = 0.008), frequency of eating home cooked meals (P = 0.004) and WRBI total score (P = 0.022). Results from logistic regression models indicated that the odds of maintaining weight loss increase at 30% (Model 1: P

Abstract Introduction Long‐term effects of behavioral weight loss maintenance interventions need to be assessed in order to understand their durability of effects. This can be evaluated with the use of weights recorded in the electronic medical record. The goal of this study was to use electronic health record (EHR)‐recorded weight to examine outcomes 2 years beyond the completion of a trial in which participants were randomized to receive a weight maintenance intervention or usual care after required initial weight loss. Methods Weights collected in the Veteran's Affairs national EHR were obtained for 2 years following trial completion. Outliers and implausible weights were identified and removed prior to analysis. Mixed‐effects models with quadratic time were fit to estimate between‐arm differences in weight change. Results Model‐estimated weight at trial completion was 109.7 kg for usual care and 106.8 kg for intervention, estimated difference of −2.9 kg (95% confidence interval [CI]: −8.8, 3.0; p = 0.34). Two years later, estimated mean weight collected from (n = 211) participants with available EMR weights was 111.5 kg for usual care and 108.0 kg for intervention, estimated difference −3.4 kg (95% CI: −9.3, 2.4 kg; p = 0.35). Conclusions While not statistically significant, weights from the EHR suggest the possibility of a clinically meaningful difference that should be confirmed by future adequately powered studies.

Without provision of additional intervention, most individuals regain weight after the end of weight-loss programs. Extended-care programs have been demonstrated to improve long-term weight-loss maintenance, but effects are modest. We proposed to evaluate whether delivering extended-care telephone sessions on an ADAPTIVE (provided when individuals are deemed to be at high-risk for weight regain) versus STATIC (the once-per-month schedule typically used in extended-care programs) schedule improves weight regain after initial weight loss. Adults with obesity were initially recruited for a 16-week lifestyle weight-loss program, and those who lost ≥5 % of their initial weight were eligible for enrollment in the Project STAR maintenance trial. A total of 449 individuals (mean ± SD age = 49.5 ± 11.4 years, BMI = 35.7 ± 4.0 kg/m2, 83.5 % female, 23.4 % Black or African American, 9.8 % Hispanic) were recruited for the initial weight-loss program and lost an average of 6.4 ± 4.9 % of their initial body weight; 255 were randomized to the maintenance trial. There were no significant differences between participants randomized to the trial versus those who were not in terms of baseline weight, gender, race/ethnicity, education, or marital status, all p s > 0.05; however, participants who were randomized to the trial were older, p =.014, and reported higher incomes, p <.001. Results from Project STAR will demonstrate whether providing extended-care intervention on an individually adaptable schedule improves long-term weight-loss maintenance. Moreover, the rich longitudinal dataset collected during the trial will serve as a foundation for building future predictive algorithms of weight regain and novel weight-maintenance interventions. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: Lifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance). Methods: This observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25–45 years; middle-aged: 46–54 years; older: 55–70 years) or sex (women and men) groups were compared. Results: In total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults −1.25% [95% CI −1.92, −0.58], p<0.001). After the WM intervention, older adults lost more fat-free mass and bone mass and had smaller improvements in 2 h plasma glucose (adjusted difference for older vs younger adults 0.65 mmol/l [95% CI 0.50, 0.80], p<0.001) and systolic blood pressure (adjusted difference for older vs younger adults 2.57 mmHg [95% CI 1.37, 3.77], p<0.001) than younger adults. Older adults had smaller decreases in fasting and 2 h glucose, HbA1c and systolic blood pressure after the WM intervention than middle-aged adults. In the complete case analysis, the above-mentioned differences between middle-aged and older adults disappeared, but the direction of the effect size did not change. After the WL period, compared with men, women had less weight loss (adjusted difference for women vs men 1.78% [95% CI 1.12, 2.43], p<0.001) with greater fat-free mass and bone mass loss and smaller improvements in HbA1c, LDL-cholesterol and diastolic blood pressure. After the WM intervention, women had greater fat-free mass and bone mass loss and smaller improvements in HbA1c and LDL-cholesterol, while they had greater improvements in fasting glucose, triacylglycerol (adjusted difference for women vs men −0.08 mmol/l [−0.11, −0.04], p<0.001) and HDL-cholesterol. Conclusions/interpretation: Older adults benefited less from a lifestyle intervention in relation to body composition and cardiometabolic health markers than younger adults, despite greater sustained weight loss. Women benefited less from a LED followed by a lifestyle intervention in relation to body weight and body composition than men. Future interventions targeting older adults or women should take prevention of fat-free mass and bone mass loss into consideration. Clinical trial registration number: ClinicalTrials.gov NCT01777893. [ABSTRACT FROM AUTHOR]

Aim: Weight loss is shown to improve obesity-related health problems as long as it is maintained for a long term. The purpose of this systematic review was to investigate the association between binge eating disorder and weight management in overweight and obese adults. Methods: A systematic search following the preferred reporting items for systematic reviews and meta-analyses guidelines was conducted across PubMed, Ebsco and Cochrane Library from inception through December 2020 to identify studies that assessed the association between binge eating disorder and weight management (e.g., weight loss, weight gain and weight loss maintenance) in overweight and obese adults. We included studies that examined adults (≥18 years old) being overweight and obese with and without binge eating behaviour. Two authors independently screened and evaluated studies for methodological quality. Results: Nine articles were selected, including 3685 participants. Three of the included studies were randomised control trials and the remaining were observational studies. The majority of the studies included support that people who have binge eating disorder may have an additional barrier maintaining their weight loss compared to people who do not suffer from binge eating disorder. Conclusion: Our systematic review revealed that binge eating disorder may have a negative association with weight loss maintenance. Further well-conducted prospective cohort studies and randomised clinical trials are required to investigate the possible mechanisms and whether any such mechanisms are modifiable. These will lead us to more efficient strategies targeting weight management. [ABSTRACT FROM AUTHOR]

Background: Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. The Project: First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. Impact: The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.

There is substantial evidence documenting the effects of behavioural interventions on weight loss (WL). However, behavioural approaches to initial WL are followed by some degree of longer-term weight regain, and large trials focusing on evidence-based approaches to weight loss maintenance (WLM) have generally only demonstrated small beneficial effects. The current state-of-the-art in behavioural interventions for WL and WLM raises questions of (i) how we define the relationship between WL and WLM, (ii) how energy balance (EB) systems respond to WL and influence behaviours that primarily drive weight regain, (iii) how intervention content, mode of delivery and intensity should be targeted to keep weight off, (iv) which mechanisms of action in complex interventions may prevent weight regain and (v) how to design studies and interventions to maximise effective longer-term weight management. In considering these issues a writing team within the NoHoW Consortium was convened to elaborate a position statement, and behaviour change and obesity experts were invited to discuss these positions and to refine them. At present the evidence suggests that developing the skills to self-manage EB behaviours leads to more effective WLM. However, the effects of behaviour change interventions for WL and WLM are still relatively modest and our understanding of the factors that disrupt and undermine self-management of eating and physical activity is limited. These factors include physiological resistance to weight loss, gradual compensatory changes in eating and physical activity and reactive processes related to stress, emotions, rewards and desires that meet psychological needs. Better matching of evidence-based intervention content to quantitatively tracked EB behaviours and the specific needs of individuals may improve outcomes. Improving objective longitudinal tracking of energy intake and energy expenditure over time would provide a quantitative framework in which to understand the dynamics of behaviour change, mechanisms of action of behaviour change interventions and user engagement with intervention components to potentially improve weight management intervention design and evaluation.

Abstract Background Physical activity is a critical component of lifestyle interventions to reduce body weight and maintain weight loss. The goal of this study was to examine the motivations to exercise in young men following a 5-month residential weight loss programme conducted in the Singapore military as part of National Service. Methods We conducted a sequential mixed methods study starting with three focus groups comprising 21 programme instructors. Fifteen former programme participants aged 20.8 years (±1.4) with an average body mass index (BMI) of 29.3 kg/m2 (±4.6) were interviewed in-depth over a total duration of 9 h. Another 487 current programme participants aged 20.8 years (±1.1), BMI 27.1 kg/m2 (±2.6), completed a survey on weight loss, physical fitness, and motivations to exercise using the Behaviours Regulating Exercise Questionnaire (BREQ-3). Qualitative data was coded thematically using the six constructs of exercise motivation described by self-determination theory: amotivation, external, introjected, identified and integrated regulation and intrinsic motivation. Quotes from interviewees were cross-tabulated according to their weight maintenance trajectories. BREQ-3 responses were analysed according to initial body mass index (BMI), percentage weight loss and fitness. Results Over the course of the residential programme interview and survey participants experienced an average weight loss of 15.6 kg (±6.5) and 13.0 kg (±5.4) respectively. Among the fifteen interviewees seven had gained no more than 34% of initial weight loss 6 months after completing the programme while another eight had gained more than 51%. We elicited three key themes from the data: (1) Barriers to exercise; (2) diminishing extrinsic motivation; and (3) unidentified exercise benefits. The integration of findings uncovered reinforcing motivational patterns in the areas of health, fitness, camaraderie and identified regulation. Narratives of self-acceptance and shift-work environments gave rise to potentially deleterious motivational patterns. Our findings suggest that successful transition from a residential programme to independent weight management requires a more deliberate pivot from predominantly extrinsic to intrinsic motivational approaches. Conclusion Residential programmes such as the one investigated here, should develop a deliberate transition strategy, replace weight loss targets with physical performance goals and promote sports that are appropriate for young men affected by overweight and obesity.

Biological, genetic, and environmental factors make weight loss very difficult. Acceptance-based behavioral treatment (ABT) supplements standard behavioral treatments (BT) for obesity by teaching skills to accept the discomfort inherent to weight control behaviors and prioritize long-term, values-based goals. Grit, the ability to persevere in goal pursuit, overlaps conceptually with ABT principles and may predict outcomes in ABT. During a randomized controlled trial comparing three weight loss interventions (BT, BT with an emphasis on physical activity [BT + PA], ABT with an emphasis on physical activity [ABT + PA]), this study examined if grit predicted weight loss, intervention engagement (session attendance and dietary self-monitoring), and perceived intervention effectiveness, and whether intervention condition moderated these relationships. Participants (N = 309) with overweight/obesity enrolled in an 18-month weight loss intervention completed the Short Grit Scale at baseline. Weight and PA were measured at baseline, during the intervention (12 and 18 months), and at follow-up (24 and 36 months). Session attendance and dietary self-monitoring were assessed throughout the intervention, and perceived intervention effectiveness at end-of-intervention. The relation of grit to several outcomes depended on condition. In ABT + PA, but not BT or BT + PA, lower grit related to higher weight loss at 12 and 24 months, session attendance, and perceived intervention effectiveness. Grit was not related to PA or dietary self-monitoring in any condition. ABT's focus on building skills to facilitate long-term goal pursuit may be unique and beneficial to those with lower grit. Those with higher grit may already possess ABT-consistent skills and benefit less from ABT. Research on trait-level characteristics like grit in relation to weight must be cautious not to reinforce weight bias; rather, this work suggests that an evidence-based intervention (ABT) may be well-suited to those with lower grit levels seeking weight loss. • We examined grit, perseverance in long-term goal pursuit, in obesity treatments. • Grit predicted outcomes in acceptance-based behavioral treatment (ABT) for obesity. • Lower levels of grit related to greater 12- and 24-month weight losses in ABT. • Lower levels of grit related to greater perceived intervention effectiveness in ABT. • Lower levels of grit related to greater session attendance in ABT. [ABSTRACT FROM AUTHOR]

Background: Long-term weight maintenance after weight loss is challenging, and innovative solutions are required. Digital technologies can support behavior change and, therefore, have the potential to be an effective tool for weight loss maintenance. However, to create meaningful and effective digital behavior change interventions that support end user values and needs, a combination of persuasive system design (PSD) principles and behavior change techniques (BCTs) might be needed. Objective: This study aimed to investigate how an evidence-informed digital behavior change intervention can be designed and developed by combining PSD principles and BCTs into design features to support end user values and needs for long-term weight loss maintenance. Methods: This study presents a concept for how PSD principles and BCTs can be translated into design features by combining design thinking and Agile methods to develop and deliver an evidence-informed digital behavior change intervention aimed at supporting weight maintenance. Overall, 45 stakeholders participated in the systematic and iterative development process comprising co-design workshops, prototyping, Agile development, and usability testing. This included prospective end users (n=17, 38%; ie, people with obesity who had lost ≥8% of their weight), health care providers (n=9, 20%), healthy volunteers (n=4, 9%), a service designer (n=1, 2%), and stakeholders from the multidisciplinary research and development team (n=14, 31%; ie, software developers; digital designers; and eHealth, behavior change, and obesity experts). Stakeholder input on how to operationalize the design features and optimize the technology was examined through formative evaluation and qualitative analyses using rapid and in-depth analysis approaches. Results: A total of 17 design features combining PSD principles and BCTs were identified as important to support end user values and needs based on stakeholder input during the design and development of eCHANGE, a digital intervention to support long-term weight loss maintenance. The design features were combined into 4 main intervention components: Week Plan, My Overview, Knowledge and Skills, and Virtual Coach and Smart Feedback System. To support a healthy lifestyle and continued behavior change to maintain weight, PSD principles such as tailoring, personalization, self-monitoring, reminders, rewards, rehearsal, praise, and suggestions were combined and implemented into the design features together with BCTs from the clusters of goals and planning, feedback and monitoring, social support, repetition and substitution, shaping knowledge, natural consequences, associations, antecedents, identity, and self-belief. Conclusions: Combining and implementing PSD principles and BCTs in digital interventions aimed at supporting sustainable behavior change may contribute to the design of engaging and motivating interventions in line with end user values and needs. As such, the design and development of the eCHANGE intervention can provide valuable input for future design and tailoring of evidence-informed digital interventions, even beyond digital interventions in support of health behavior change and long-term weight loss maintenance. [ABSTRACT FROM AUTHOR]

After a low-calorie diet, only 25% of patients succeed in maintaining the result of weight loss for a long time. This systematic review and meta-analysis aims to explore whether patients undergoing intensive intervention during the maintenance phase have a greater preservation of the weight achieved during the previous slimming phase than controls. A bibliographic search was conducted using PubMed, Scopus, and Cochrane databases for clinical trials and randomised, controlled trials investigating the role of choice in weight-loss-maintenance strategies. Only studies with a follow-up of at least 12 months were considered. A total of eight studies, for a total of 1454 patients, was identified, each comparing a group that followed a more intensive protocol to a control group. Our metanalysis highlighted that an intensive approach even in the maintenance phase could be important to ensure greater success in the phase following the weight-loss period. However, it should be pointed out that the improvement was not so different from the trend of the respective controls, with a non-statistically significant mean difference of the effect size (0.087; 95% CI −0.016 to 0.190 p = 0.098). This finding, along with the observation of a weight regain in half of the selected studies, suggests this is a long work that has to be started within the weight-loss phase and reinforced during the maintenance phase. The problem of weight control in patients with obesity should be understood as a process of education to a healthy lifestyle and a balanced diet to be integrated in the context of a multidisciplinary approach. [ABSTRACT FROM AUTHOR]

Context: Today, there are many discussions about the best way to maintain weight and prevent weight regain after a period of weight loss., Objectives: The aim of this study was to summarize, based on data from randomized clinical trials (RCTs), the impact of nonsurgical interventions for adults' weight loss maintenance., Data Sources: The Medline (PubMed), Scopus, and Web of Science databases were reviewed during June 2023., Data Extraction: Meta-analyses assessing the impacts of nonsurgical interventions for weight loss maintenance were conducted. Effect sizes of nutritional interventions were recalculated by applying a random-effects model. The Grading of Recommendations, Assessment, Development, and Evaluation framework was implemented to determine evidence certainty., Results: Meta-analysis of data from a total of 56 RCTs (n = 13 270 participants) represented a significant weight reduction after behavior and lifestyle interventions (mean difference [MD], -0.64 kg [95% CI, -1.18 to -0.09]; I2 = 89.5%; P < .001 for heterogeneity). Pharmacological interventions had also a significant effect on weight change during the weight maintenance phase (MD, -2.57 kg [95% CI, -3.12 to -2.02]; I2 = 91.6%; P < .001 for heterogeneity). The weight loss reduction from pharmacological interventions was greater with sibutramine (MD, -2.57; 95% CI: -3.12 to -2.02). Additionally, diet intervention and dietary and physical activity strategies were associated with a negligible trending decrease in weigh regain (respectively: MD, -0.91 kg [95% CI, -2.18 to 0.36], I2 = 55.7%, P = .016 for heterogeneity; and MD, -0.3 kg [95% CI, -4.13 to 3.52], I2 =  94.1%, P < .001)., Conclusion: The findings of this review indicate there is a favorable impact of behavior-based interventions and antiobesity medications on weight maintenance., Systematic Review Registration: PROSPERO registration no CRD42023468056., (© The Author(s) 2024. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Pediatric obesity is an ongoing health concern within the United States, with one third of children being classified as overweight or obese (Ogden et al., 2016). Previous research has shown [...], Introduction: Although families face many barriers to obtaining and maintaining a healthy weight status for children, there remains a lack of psychometrically sound tools to assess perceived barriers. The Barriers to Child Weight Management (BCWM) scale quantitatively assesses parents' perceptions of barriers to engaging in positive weight-related behaviors but has not been validated within a clinical sample. The present study sought to validate the BCWM scale among parents of children presenting to a tertiary pediatric weight management clinic. Method: Participants included 258 parents of children aged 6-18 years presenting to a tertiary care behavioral weight management program. Parents completed the BCWM prior to the initial clinic visit. Confirmatory factor analysis was conducted to test the previously identified 4-factor structure within a clinical sample. Results: Overall model fit was good with the addition of 2 theoretically appropriate model respecifications, [chi square](144) = 278.60, p < .001, comparative fit index = .90, root mean square error of approximation = .05, standardized root mean square residual = .06. Discussion: The BCWM is a promising tool to assess parental perceptions of barriers to healthy weight-related behaviors among youth presenting for clinical weight management intervention. Incorporation of this measure into pediatric weight-management appointments may aid in quickly identifying points of intervention. Keywords: pediatric obesity, health behaviors, barriers, weight management

Background: There is a need to develop cost-effective weight loss maintenance interventions to prolong the positive impact of weight loss on health outcomes. Conducting pre-trial health economic modelling is recommended to inform the design and development of behavioural interventions. We aimed to use health economic modelling to estimate the maximum cost per-person (justifiable cost) of a cost-effective behavioural weight loss maintenance intervention, given an estimated intervention effect for individuals with: i) a Body Mass Index (BMI) of 28 kg/m2 or above without diabetes and ii) a diagnosis of type 2 diabetes prescribed a single non-insulin diabetes medication. Methods: The School for Public Health Research Diabetes prevention model was used to estimate the lifetime Quality-adjusted life year (QALY) gains, healthcare costs, and maximum justifiable cost associated with a weight loss maintenance intervention. Based on a meta-analysis, the estimated effect of a weight loss maintenance intervention following a 9 kg weight loss, was a regain of 1.33 kg and 4.38 kg in years one and two respectively compared to greater regain of 2.84 kg and 5.6 kg in the control group. Sensitivity analysis was conducted around the rate of regain, duration of effect and initial weight loss. Results: The justifiable cost for a weight loss maintenance intervention at an ICER of £20,000 per QALY was £104.64 for an individual with a BMI of 28 or over and £88.14 for an individual with type 2 diabetes. Within sensitivity analysis, this varied from £36.42 to £203.77 for the former, and between £29.98 and £173.05 for the latter. Conclusions: Researchers developing a weight loss maintenance intervention should consider these maximum justifiable cost estimates and the potential impact of the duration of effect and initial weight loss when designing intervention content and deciding target populations. Future research should consider using the methods demonstrated in this study to use health economic modelling to inform the design and budgetary decisions in the development of a behavioural interventions. [ABSTRACT FROM AUTHOR]

Introduction: The Diabetes REmission Clinical Trial (DiRECT) has shown that sustained remission of type 2 diabetes in primary care is achievable through weight loss using total diet replacement (TDR) with continued behavioural support. Understanding participants' experiences can help optimise the intervention, support implementation into healthcare, and understand the process of behaviour change. Methods: Thirty‐four DiRECT participants were recruited into this embedded qualitative evaluation study. In‐person and telephone interviews were conducted before the TDR; at week 6–8 of the TDR; 2 weeks into food reintroduction (FR); and at 1 year, to learn about participant experiences with the programme. Transcribed narratives were analysed thematically, and we used interpretation to develop overarching themes. Results: Initiation of the TDR and transition to FR were challenging and required increased behavioural support. In general, adhering to TDR proved easier than the participants had anticipated. Some participants chose the optional extension of TDR. Rapid weight loss and changes in diabetes markers provided ongoing motivation. Further weight loss, behavioural support and occasional use of TDR facilitated weight loss maintenance (WLM). A process of behaviour adaptation to change following regime disruption was identified in three stages: (1) expectations of the new, (2) overcoming difficulties with adherence, and (3) acceptance of continuous effort and establishment of routines. Conclusions: The DiRECT intervention was acceptable and regularity, continuity, and tailoring of behavioural support was instrumental in its implementation in primary care. The adaptation process accounts for some of the individual variability of experiences with the intervention and highlights the need for programme flexibility. [ABSTRACT FROM AUTHOR]

Background: The effectiveness of mobile health (mHealth) approaches that employ wearable technology to promote physical activity have been the subject of concern due to the declining active use observed in trial settings. Objective: To better contextualize active use, this study aimed to identify the barriers and enablers to engagement in a tracker-based mHealth initiative among young men who had recently completed a 19-week residential weight loss program. Methods: A mixed methods study was conducted among 167 young men who had voluntarily enrolled in the national steps challenge (NSC), an mHealth physical activity promotion initiative, following a residential weight loss intervention. A subsample of 29 enrollees with a body mass index of 29.6 (SD 3.1) participated in semistructured interviews and additional follow-up assessments. Quantitative systems data on daily step count rates were used to describe active use. Qualitative data were coded and analyzed to elicit barriers and enablers to microlevel engagement in relation to the NSC, focusing on tracker and smartphone use. We further elicited barriers and enablers to macrolevel engagement by exploring attitudes and behaviors toward the NSC. Using triangulation, we examined how qualitative engagement in the NSC could account for quantitative findings on active use. Using integration of findings, we discussed how the mHealth intervention might have changed physical activity behavior. Results: Among the 167 original enrollees, active use declined from 72 (47%) in week 1 to 27 (17%) in week 21. Mean daily step counts peaked in week 1 at 10,576 steps per day and were variable throughout the NSC. Barriers to engagement had occurred in the form of technical issues leading to abandonment, device switching, and offline tracking. Passive attitudes toward step counting and disinterest in the rewards had also prevented deeper engagement. Enablers of engagement included self-monitoring and coaching features, while system targets and the implicit prospect of reward had fostered new physical activity behaviors. Conclusions: Our study showed that as the NSC is implemented in this population, more emphasis should be placed on technical support and personalized activity targets to promote lasting behavior change. [ABSTRACT FROM AUTHOR]

Several cross-sectional studies have shown hair cortisol concentration to be associated with adiposity, but the relationship between hair cortisol concentration and longitudinal changes in measures of adiposity are largely unknown. We included 786 adults from the NoHoW trial, who had achieved a successful weight loss of ≥5% and had a body mass index of ≥25 kg/m2 prior to losing weight. Hair cortisol concentration (pg/mg hair) was measured at baseline and after 12 months. Body weight and body fat percentage were measured at baseline, 6-month, 12-month and 18-month visits. Participants weighed themselves at home ≥2 weekly using a Wi-Fi scale for the 18-month study duration, from which body weight variability was estimated using linear and non-linear approaches. Regression models were conducted to examine log hair cortisol concentration and change in log hair cortisol concentration as predictors of changes in body weight, change in body fat percentage and body weight variability. After adjustment for lifestyle and demographic factors, no associations between baseline log hair cortisol concentration and outcome measures were observed. Similar results were seen when analysing the association between 12-month concurrent development in log hair cortisol concentration and outcomes. However, an initial 12-month increase in log hair cortisol concentration was associated with a higher subsequent body weight variability between month 12 and 18, based on deviations from a nonlinear trend (β: 0.02% per unit increase in log hair cortisol concentration [95% CI: 0.00, 0.04]; P=0.016). Our data suggest that an association between hair cortisol concentration and subsequent change in body weight or body fat percentage is absent or marginal, but that an increase in hair cortisol concentration during a 12-month weight loss maintenance effort may predict a slightly higher subsequent 6-months body weight variability.Clinical Trial RegistrationISRCTN registry, identifier ISRCTN88405328.

Several cross-sectional studies have shown hair cortisol concentration to be associated with adiposity, but the relationship between hair cortisol concentration and longitudinal changes in measures of adiposity are largely unknown. We included 786 adults from the NoHoW trial, who had achieved a successful weight loss of ≥5% and had a body mass index of ≥25 kg/m2 prior to losing weight. Hair cortisol concentration (pg/mg hair) was measured at baseline and after 12 months. Body weight and body fat percentage were measured at baseline, 6-month, 12-month and 18-month visits. Participants weighed themselves at home ≥2 weekly using a Wi-Fi scale for the 18-month study duration, from which body weight variability was estimated using linear and non-linear approaches. Regression models were conducted to examine log hair cortisol concentration and change in log hair cortisol concentration as predictors of changes in body weight, change in body fat percentage and body weight variability. After adjustment for lifestyle and demographic factors, no associations between baseline log hair cortisol concentration and outcome measures were observed. Similar results were seen when analysing the association between 12-month concurrent development in log hair cortisol concentration and outcomes. However, an initial 12-month increase in log hair cortisol concentration was associated with a higher subsequent body weight variability between month 12 and 18, based on deviations from a nonlinear trend (β: 0.02% per unit increase in log hair cortisol concentration [95% CI: 0.00, 0.04]; P =0.016). Our data suggest that an association between hair cortisol concentration and subsequent change in body weight or body fat percentage is absent or marginal, but that an increase in hair cortisol concentration during a 12-month weight loss maintenance effort may predict a slightly higher subsequent 6-months body weight variability. Clinical Trial Registration: ISRCTN registry, identifier ISRCTN88405328. [ABSTRACT FROM AUTHOR]

Purpose: This cross-sectional study was based on the Cypriot cohort of the MedWeight study and examined differences between maintainers and regainers regarding personality traits.Methods: Participants were men and women who reported being at least overweight and experienced an intentional weight loss of ≥10% of their maximum weight, at least 1 year before participation. Assessment of personality, diet and physical activity was conducted through validated questionnaires and with 24 h recalls.Results: Findings from logistic regression analysis indicated that the odds of maintaining weight loss increased to 50% for agreeableness and decreased to 20 and 7% for perseverance and motor impulsiveness, respectively.Conclusion: Specific aspects of personality and impulsivity are relevant to weight loss maintenance and need to be considered when developing weight management interventions.