Effectiveness and cost-effectiveness of a 12-month automated text message intervention for weight management in postpartum women with overweight or obesity: protocol for the Supporting MumS (SMS) multisite, parallel-group, randomised controlled trial.

INTRODUCTION: The reproductive years can increase women's weight-related risk. Evidence for effective postpartum weight management interventions is lacking and engaging women during this life stage is challenging. Following a promising pilot evaluation of the Supporting MumS intervention, we assess if theory-based and bidirectional text messages to support diet and physical activity behaviour change for weight loss and weight loss maintenance, are effective and cost-effective for weight change in postpartum women with overweight or obesity, compared with an active control arm receiving text messages on child health and development. METHODS AND ANALYSIS: Two-arm, parallel-group, assessor-blind randomised controlled trial with cost-effectiveness and process evaluations. Women (n=888) with body mass index (BMI) ≥25 kg/m2 and within 24 months of giving birth were recruited via community and National Health Service pathways through five UK sites targeting areas of ethnic and socioeconomic diversity. Women were 1:1 randomised to the intervention or active control groups, each receiving automated text messages for 12 months. Data are collected at 0, 6, 12 and 24 months. The primary outcome is weight change at 12 months from baseline, compared between groups. Secondary outcomes include weight change (24 months) and waist circumference (cm), proportional weight gain (>5 kg), BMI (kg/m2), dietary intake, physical activity, infant feeding and mental health (6, 12 and 24 months, respectively). Economic evaluation examines health service usage and personal expenditure, health-related quality of life and capability well-being to assess cost-effectiveness over the trial and modelled lifetime. Cost-utility analysis examines cost per quality-adjusted life-years gained over 24 months. Mixed-method process evaluation explores participants' experiences and contextual factors impacting outcomes and implementation. Stakeholder interviews examine scale-up and implementation. ETHICS AND DISSEMINATION: Ethical approval was obtained before data collection (West of Scotland Research Ethics Service Research Ethics Committee (REC) 4 22/WS/0003). Results will be published via a range of outputs and audiences. TRIAL REGISTRATION NUMBER: ISRCTN16299220.

A Primary Care-Based Weight Navigation Program.

Importance: Evidence-based weight management treatments (WMTs) are underused; strategies are needed to increase WMT use and patients' weight loss. Objective: To evaluate the association of a primary care-based weight navigation program (WNP) with WMT use and weight loss. Design, Setting, and Participants: This cohort study comprised a retrospective evaluation of a quality improvement program conducted from October 1, 2020, to September 30, 2021. Data analysis was performed from August 2, 2022, to March 7, 2024. Adults with obesity and 1 or more weight-related condition from intervention and control sites in a large academic health system in the Midwestern US were propensity matched on sociodemographic and clinical factors. Exposure: WNP, in which American Board of Obesity Medicine-certified primary care physicians offered weight-focused visits and guided patients' selection of preference-sensitive WMTs. Main Outcomes and Measures: Primary outcomes were feasibility measures, including rates of referral to and engagement in the WNP. Secondary outcomes were mean weight loss, percentage of patients achieving 5% or more and 10% or more weight loss, referral to WMTs, and number of antiobesity medication prescriptions at 12 months. Results: Of 264 patients, 181 (68.6%) were female and mean (SD) age was 49.5 (13.0) years; there were no significant differences in demographic characteristics between WNP patients (n = 132) and matched controls (n = 132). Of 1159 WNP-eligible patients, 219 (18.9%) were referred to the WNP and 132 (11.4%) completed a visit. In a difference-in-differences analysis, WNP patients lost 4.9 kg more than matched controls (95% CI, 2.11-7.76; P < .001), had 4.4% greater weight loss (95% CI, 2.2%-6.4%; P < .001), and were more likely to achieve 5% or more weight loss (odds ratio [OR], 2.90; 95% CI, 1.54-5.58); average marginal effects, 21.2%; 95% CI, 8.8%-33.6%) and 10% or more weight loss (OR, 7.19; 95% CI, 2.55-25.9; average marginal effects, 17.4%; 95% CI, 8.7%-26.2%). Patients in the WNP group were referred at higher rates to WMTs, including bariatric surgery (18.9% vs 9.1%; P = .02), a low-calorie meal replacement program (16.7% vs 3.8%; P < .001), and a Mediterranean-style diet and activity program (10.6% vs 1.5%; P = .002). There were no between-group differences in antiobesity medication prescribing. Conclusions and Relevance: The findings of this cohort study suggest that WNP is feasible and associated with greater WMT use and weight loss than matched controls. The WNP warrants evaluation in a large-scale trial.

Effect of weight loss program using prebiotics and probiotics on body composition, physique, and metabolic products: longitudinal intervention study.

The relationship between gut microbiota and obesity has recently been an important subject for research as the gut microbiota is thought to affect body homeostasis including body weight and composition, intervening with pro and prebiotics is an intelligent possible way for obesity management. To evaluate the effect of hypo caloric adequate fiber regimen with probiotic supplementation and physical exercise, whether it will have a good impact on health, body composition, and physique among obese Egyptian women or has no significant effect. The enrolled 58 women, in this longitudinal follow-up intervention study; followed a weight loss eating regimen (prebiotic), including a low-carbohydrate adequate-fiber adequate-protein dietary pattern with decreased energy intake. They additionally received daily probiotic supplements in the form of yogurt and were instructed to exercise regularly for 3 months. Anthropometric measurements, body composition, laboratory investigations, and microbiota analysis were obtained before and after the 3 months weight loss program. Statistically highly significant differences in the anthropometry, body composition parameters: and obesity-related biomarkers (Leptin, ALT, and AST) between the pre and post-follow-up measurements at the end of the study as they were all decreased. The prebiotic and probiotic supplementation induced statistically highly significant alterations in the composition of the gut microbiota with increased relative abundance of Lactobacillus, Bifidobacteria, and Bacteroidetes and decreased relative abundance of Firmicutes and Firmicutes/Bacteroidetes Ratio. Hypo caloric adequate fiber regimen diet with probiotics positively impacts body composition and is effective for weight loss normalizing serum Leptin and AST.

Protocol for a prospective, randomized, controlled trial of Mental Contrasting with Implementation Intentions (MCII) to enhance the effectiveness of VA's MOVE! weight management program: WOOP (Wish, Outcome, Obstacle, Plan) VA.

INTRODUCTION: Intensive weight management programs are effective but often have low enrollment and high attrition. Lack of motivation is a key psychological barrier to enrollment, engagement, and weight loss. Mental Contrasting with Implementation Intentions (MCII) is a unique imagery technique that increases motivation for behavior change. We describe our study protocol to assess the efficacy and implementation of MCII to enhance the effectiveness of VA's MOVE! or TeleMOVE! weight management programs using a procedure called "WOOP" (Wish, Outcome, Obstacle, Plan) for Veterans. We hypothesize that WOOP+MOVE! or TeleMOVE! (intervention) will lead to greater MOVE!/TeleMOVE! program engagment and consequently weight loss than MOVE!/TeleMOVE! alone (control). METHOD: Veterans are randomized to either the intervention or control. Both arms receive the either MOVE! or TeleMOVE! weight management programs. The intervention group receives an hour long WOOP training while the control group receives patient education. Both groups receive telephone follow up calls at 3 days, 4 weeks, and 2 months post-baseline. Eligible participants are Veterans (ages 18-70 years) with either obesity (BMI ≥ 30 kg/m2) or overweight (BMI ≥ 25 kg/m2) and an obesity-associated co-morbidity. At baseline, 6 and 12 months, we assess weight, diet, physical activity in both groups. The primary outcome is mean percent weight change at 6 months. Secondary outcomes include changes in waist circumference, diet, physical activity, and dieting self-efficacy and engagement in regular physical activity. We assess implementation using the RE-AIM framework. CONCLUSION: If WOOP VA is found to be efficacious, it will be an important tool to facilitate weight management and improve weight outcomes. CLINICAL TRIAL REGISTRATION: NCT05014984.

Alternative models to support weight loss in chronic musculoskeletal conditions: effectiveness of a physiotherapist-delivered intensive diet programme for knee osteoarthritis, the POWER randomised controlled trial.

OBJECTIVES: To determine if physiotherapists can deliver a clinically effective very low energy diet (VLED) supplementary to exercise in people with knee osteoarthritis (OA) and overweight or obesity. METHODS: 88 participants with knee OA and body mass index (BMI) >27 kg/m2 were randomised to either intervention (n=42: VLED including two daily meal replacement products supplementary to control) or control (n=46: exercise). Both interventions were delivered by unblinded physiotherapists via six videoconference sessions over 6 months. The primary outcome was the percentage change in body weight at 6 months, measured by a blinded assessor. Secondary outcomes included BMI, waist circumference, waist-to-hip ratio, self-reported measures of pain, function, satisfaction and perceived global change, and physical performance tests. RESULTS: The intervention group lost a mean (SD) of 8.1% (5.2) body weight compared with 1.0% (3.2) in the control group (mean (95% CI) between-group difference 7.2% (95% CI 5.1 to 9.3), p<0.001), with significantly lower BMI and waist circumference compared with control group at follow-up. 76% of participants in the intervention group achieved ≥5% body weight loss and 37% acheived ≥10%, compared with 12% and 0%, respectively, in the control group. More participants in the intervention group (27/38 (71.1%)) reported global knee improvement than in the control group (20/42 (47.6%)) (p=0.02). There were no between-group differences in any other secondary outcomes. No serious adverse events were reported. CONCLUSION: A VLED delivered by physiotherapists achieved clinically relevant weight loss and was safe for people with knee OA who were overweight or obese. The results have potential implications for future service models of care for OA and obesity. TRIAL REGISTRATION NUMBER: NIH, US National Library of Medicine, Clinicaltrials.gov NCT04733053 (1 February 2021).

Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program.

The extent to which early weight loss in behavioral weight control interventions predicts long-term success remains unclear. In this study, we developed an algorithm aimed at classifying weight change trajectories and examined its ability to predict long-term weight loss based on weight early change. We utilized data from 667 de-identified individuals who participated in a commercial weight loss program (Instinct Health Science), comprising 69,363 weight records. Sequential polynomial regression models were employed to classify participants into distinct weight trajectory patterns based on key model parameters. Next, we applied multinomial logistic models to evaluate if early weight loss in the first 14 days and prolonged duration of participation were significantly associated with long-term weight loss patterns. The mean percentage of weight loss was 7.9 ± 5.1% over 133 ± 69 days. Our analysis revealed four main weight loss trajectory patterns: a steady decrease over time (30.6%), a decrease to a plateau with subsequent decline (15.8%), a decrease to a plateau with subsequent increase (46.9%), and no substantial decrease (6.7%). Early weight change rate and total participating duration emerged as significant factors in differentiating long-term weight loss patterns. These findings contribute to support the provision of tailored advice in the early phase of behavioral interventions for weight loss.

Weight Loss with an AI-Powered Digital Platform for Lifestyle Intervention.

BACKGROUND: Lifestyle intervention remains the cornerstone of weight loss programs in addition to pharmacological or surgical therapies. Artificial intelligence (AI) and other digital technologies can offer individualized approaches to lifestyle intervention to enable people with obesity to reach successful weight loss. METHODS: SureMediks, a digital lifestyle intervention platform using AI, was tested by 391 participants (58% women) with a broad range of BMI (20-78 kg/m2), with the aim of losing weight over 24 weeks in a multinational field trial. SureMediks consists of a mobile app, an Internet-connected scale, and a discipline of artificial intelligence called Expert system to provide individualized guidance and weight-loss management. RESULTS: All participants lost body weight (average 14%, range 4-22%). Almost all (98.7%) participants lost at least 5% of body weight, 75% lost at least 10%, 43% at least 15%, and 9% at least 20%, suggesting that this AI-powered lifestyle intervention was also effective in reducing the burden of obesity co-morbidities. Weight loss was partially positively correlated with female sex, accountability circle size, and participation in challenges, while it was negatively correlated with sub-goal reassignment. The latter three variables are specific features of the SureMediks weight loss program. CONCLUSION: An AI-assisted lifestyle intervention allowed people with different body sizes to lose 14% body weight on average, with 99% of them losing more than 5%, over 24 weeks. These results show that digital technologies and AI might provide a successful means to lose weight, before, during, and after pharmacological or surgical therapies.

Clinical Service Incorporating Mobile Technology on Weight Loss in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Translation From Research Trial.

BACKGROUND: The prevalence and healthcare cost of metabolic dysfunction-associated steatotic liver disease (MASLD) has increased alongside the epidemic surge in obesity and Type 2 diabetes. Weight loss through lifestyle modification remains the primary effective therapy for MASLD. Incorporation of mobile technology in lifestyle interventions has been previously found to be efficacious and cost-effective in facilitating weight loss. However, there is a paucity of studies that have successfully translated lifestyle research into clinical service for weight loss to alleviate disease burden. Our study aimed to describe the process of translating a mobile technology-enabled trial into a tertiary hospital outpatient dietetics service for patients with MASLD. METHODS: The Iowa Model of Evidence-Based Practice to Improve Quality Care was used as a framework for this paper to guide implementation at the organizational level. RESULTS: Regular engagement of key operational staff and the hospital management team facilitated open discussions of the challenges faced and enabled rapid implementation of strategies that contributed to the smooth piloting of the service. A service adoption rate of 81% was achieved. Preliminary outcome evaluation found that the percentage of patients achieving ≥ 5% weight loss from baseline at 6 months was comparable at 54% and 52% for the service and trial groups, respectively. CONCLUSIONS: Evaluation of the implementation process found that a hybrid model of care (in-person consultation supplemented with app coaching) preserved interpersonal connections while maximizing the convenience and scalability of mobile app-enabled service. Although high digital acceptance and adoption rates propelled by COVID-19-supported telehealth, it is prudent to assess patient's access to technology and digital literacy and offer resources to help them benefit from telehealth services.

Implementing weight maintenance with existing staff and electronic health record tools in a primary care setting: Baseline results from the MAINTAIN PRIME trial.

BACKGROUND: There is need for interventions that can assist with long-term maintenance of healthy body weight and be sustainably integrated into existing primary care teams. The goal of MAINTAIN PRIME (Promoting Real (World) IMplEmentation) is to evaluate whether a successful electronic health record (EHR)-based weight maintenance intervention can be adapted to a new clinical setting with primary care staff serving as coaches. METHODS: EHR tools include tracking tools, standardized surveys, and standardized "SmartPhrases" for coaching. Inclusion criteria were age 18-75 years, voluntary 5% weight loss in the past 2 years with prior BMI ≥ 25 kg/m2, and no bariatric procedures in past 2 years. Participants were randomized 1:1 to tailored online coaching with EHR tracking tools (coaching) or EHR tracking tools alone (tracking). RESULTS: We screened 405 individuals between September 2021 and April 2023; 269 participants enrolled (134 coaching; 135 tracking). The most common reason for not enrolling was ineligibility (55%). At baseline, participants were 50.3 (SD 15.02) years old, 66.4% female, and 84% White; 83.7% reported moderate physical activity. Average weight and BMI at baseline were 205.0 (SD 48.9) lbs. and 33.2 (6.8) kg/m2, respectively. Participants lost an average of 10.7% (SD 5.2) of their body weight before enrolling. We recruited 39 primary care coaches over the same period. Conclusion The study successfully identified and recruited primary care patients with recent intentional weight loss for participation in a weight maintenance program that uses EHR-based tools. We also successfully recruited and trained primary care staff as coaches.

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

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

Identification of minimum thresholds for dietary self-monitoring to promote weight-loss maintenance.

OBJECTIVE: Reduced schedules of dietary self-monitoring are typically recommended after the end of behavioral weight-loss programs; however, there exists little empirical evidence to guide these recommendations. METHODS: We explored potential thresholds for dietary self-monitoring during a 9-month maintenance period following a 3-month weight-loss program in 74 adults with overweight or obesity (mean [SD] age = 50.7 [10.4] years, BMI = 31.2 [4.5] kg/m2) who were encouraged to self-monitor weight, dietary intake, and physical activity daily and report their adherence to self-monitoring each week via a study website. RESULTS: Greater self-monitoring was correlated with less weight regain for thresholds of ≥3 days/week, with the largest benefit observed for thresholds of ≥5 to ≥6 days/week (all p < 0.05); significant weight gain was observed for thresholds of ≥1 to ≥2 days/week, whereas no change in weight was observed for thresholds of ≥3 to ≥4 days/week, and weight loss was observed with thresholds of ≥5 or more days/week. CONCLUSIONS: Results demonstrate that self-monitoring at least 3 days/week may be beneficial for supporting long-term maintenance, although greater benefit (in relation to weight loss) may be realized at thresholds of 5 to 6 days/week. Future research should investigate whether individuals who were randomized to self-monitor at these different thresholds demonstrate differential patterns of weight-loss maintenance.

Behavioral weight loss interventions for people with physical disabilities: A systematic review.

AIM: The aim of this study is to examine which interventions lead to clinically significant weight loss among people with physical disabilities. METHODS: We systematically searched three electronic databases (PubMed, Scopus, and CENTRAL) including studies until May 2022 to find randomized controlled trials on behavioral interventions and weight-related outcomes in people with physical disabilities. Pharmacological or surgical interventions were excluded. Study quality was evaluated using the Cochrane Risk of Bias Tool. Interventions were grouped as dietary, physical activity, education/coaching, or multi-component. Mean weight changes, standard deviations, confidence intervals, and effect sizes were extracted or calculated for assessment of the intervention effect. RESULTS: Sixty studies involving 6,511 participants were included in the qualitative synthesis. Most studies (n = 32) included multi-component interventions, incorporating dietary and physical activity components. Limited evidence suggests that extensive dietary interventions or long-term multi-component interventions might lead to a clinically relevant weight reduction of at least 5% for older individuals (age > 50) with mild-to-moderate mobility impairments. DISCUSSION: Due to the high heterogeneity of studies and low study quality, it can be assumed that the range of applicability of the findings is questionable. Further research should examine younger age groups (i.e., children, adolescents, and adults under 40 years) and compare different settings such as schools, clinics, nursing homes, and assisted living facilities.

Public and dental teams' views about weight management interventions in dental health settings: Systematic review and meta-analysis.

Collaborative approaches across healthcare to address obesity are needed but intervention in dental settings is not widely implemented. Here we systematically synthesized the views of both the public and dental teams about delivering weight management interventions in dental settings and identified potential barriers to implementation. A systematic review of five databases from inception to April 3, 2023 was completed. Proportional meta-analyses were performed with quantitative data and thematic analysis of qualitative data. A total of 7851 studies were screened and 33 included in the review. The prevalence of height and weight screening in dental settings varied (4%-87%) with an average of 29% undertaking screening (p = <0.01; 95% CI: 14%-46%). A significant proportion of the public were supportive of weight screening in dental settings (83%; p = <0.01; 95% CI:76%-88%). Significant barriers to providing weight screening and/or intervention included fear of offending patients (57%; 95% CI: 45%-68%) and a lack of time (48%; 95% CI: 30%-66%). Qualitative data revealed further barriers including stigmatizing views of dental teams toward people living with overweight/obesity. Enablers of weight discussion included associating weight with oral health. Overall, whilst some barriers were identified, there is potential for weight management interventions to be used more routinely in dental settings.

Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity.

Most adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25-30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burden weight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.

Psychological and behavioral responses to daily weight gain during behavioral weight loss treatment.

Self-weighing is consistently associated with more effective weight control. However, patterns show that participants disengage from their weight control behaviors following weight gain. Women with BMIs in the overweight/obese range (N = 50) enrolled in a long-term behavioral weight loss program completed ecological momentary assessment (EMA) surveys immediately after their daily weigh-ins. Nightly EMA surveys and self-monitoring data through Fitbit measured their weight control behavior that day. On days when participants gained weight (vs. lost or maintained), they reported more negative mood, more guilt/shame, and lower confidence in weight control. Motivation following daily weight gain depended on participants' overall satisfaction with their weight loss so far: more satisfied participants had marginally higher, but less satisfied participants had marginally lower motivation in response to daily weight gain. Greater guilt/shame and lower motivation after the weigh-in predicted less effective weight control behavior that day (e.g., lower likelihood of calorie tracking, fewer minutes of physical activity). Results demonstrate that even small weight gain is distressing and demoralizing for women in BWL programs, which can lead to goal disengagement. These findings have implications for future BWL interventions, including the potential utility of just-in-time adaptive interventions to promote more adaptive responses in the moments after weigh-ins.

The effectiveness of social-support-based weight-loss interventions-a systematic review and meta-analysis.

OBJECTIVE: This systematic review and meta-analysis examined the effectiveness of social-support-based weight-loss interventions in adult populations with excess weight or obesity. METHODS: We performed a systematic review of randomized controlled trials that reported on the effectiveness of weight-loss interventions which incorporated a social connectedness component. To this end, we conducted a rigorous database search of MEDLINE, Embase, PsycINFO, CINAHL, Cochrane, and PubMed for relevant articles. The quality of eligible trials was evaluated by the Cochrane Risk-of-Bias2 tool. Five meta-analyses on intervention effectiveness in terms of weight loss were executed at 2-4-month assessment, 6-month assessment, end of intervention, and 3- and 6-month follow-up. RESULTS: Twenty-four trials involving couples or peers targeting weight loss in 4 919 adults with BMI ≥ 25 met inclusion criteria. Meta-analyses detected no significant effect of social-support-based weight-loss interventions at either 2-4 month or 6-month assessment. There were, however, significant effects at end of intervention [95% CI 0.39, p = 0.04] and at 3-month [95% CI 0.63, p < 0.01] and 6-month [95% CI 0.34, p = 0.05] follow-up. CONCLUSIONS: There seem to be a significant effect at the end of intervention and 3- and 6-month follow-up. However, further high-quality studies are needed before drawing any clear conclusions. TRIAL REGISTRATION: PROSPERO 2020 CRD42020173696.

Preoperative medically supervised weight loss programs and weight loss outcomes following bariatric surgery - a prospective analysis.

BACKGROUND: Prior to undergoing bariatric surgery, many insurance companies require patients to attend medically supervised weight management visits for 3-6 months to be eligible for surgery. There have been few studies that have looked specifically at the relationship between medically supervised weight management visit attendance and postoperative outcomes, and the current literature reports discrepant findings. OBJECTIVES: This project aimed to better characterize the relationship between preoperative medically supervised weight management visit attendance and postoperative weight loss outcomes by examining weight loss up to 5 years postbariatric surgery, and by stratifying findings according to the type of surgery undergone. SETTING: University Hospital. METHODS: Participants were recruited during presurgical bariatric surgery clinic visits at a bariatric and metabolic weight loss center. As part of standard of care all participants were required to participate in monthly medically supervised weight management visits before surgery. Participants who completed bariatric surgical procedures participated in postsurgical follow-up at 3 weeks, 3 months, 6 months, and then annually for 5 years. Weight outcomes measured were percentage of total weight lost. RESULTS: The results do not indicate a significant association between number of group visits attended and percent total weight loss at 1 month, 3 months, 6 months, 1 year, 2 years, 3 years, 4 years, or 5 years postbariatric surgery. CONCLUSIONS: These data do not suggest a relationship between engagement in a medically supervised weight loss program prior to bariatric surgery and weight loss after surgery in either the short- or the long-term.

What matters for weight loss in behavioral trials in the Latinx community: Learnings from three randomized controlled trials.

BACKGROUND: Nearly half of Latinx adults in the US are obese, making effective weight loss interventions crucial to prevent associated chronic conditions. OBJECTIVE: To identify factors associated with increased session attendance and clinically significant weight loss among Latinx adults. PARTICIPANTS: Latinx participants from the Vivamos Activos (n = 207), Vida Sana (n = 191), and HOMBRE (n = 424 Latinx men) randomized clinical trials. DESIGN: Post-hoc analysis of randomized controlled trial data. INTERVENTION: Culturally-adapted behavioral weight loss interventions based on the Diabetes Prevention Program among Latinx adults over 12 months. MAIN OUTCOME MEASURE: Demographic, clinical, and psychosocial predictors of session attendance and 5% weight loss at 12-months. STATISTICAL ANALYSIS PERFORMED: Bi-variable associations between baseline characteristics and outcomes were tested with chi-square and t-tests. Those with p-value< 0.15 were then included in stepwise logistic regressions. RESULTS: Participants (N = 822) were middle age with diverse socioeconomic backgrounds. Older age in the Vivamos Activos and Vida Sana trials, and lower acculturation in the HOMBRE trial were significant predictors of increased session attendance. Factors associated with 5% weight loss varied by trials. These included younger age (OR 0.96 95% CI 0.92, 0.99) in Vivamos Activos, higher acculturation (OR 1.88 95% CI 1.05, 3.37) in Vida Sana, and higher education (OR 3.20 95% CI 1.3, 7.03) and greater body image dissatisfaction (OR 1.29, 95% CI 1.04, 1.6), and lower acculturation (0.69 95% CI 0.5, 0.96) in HOMBRE. CONCLUSIONS: Few and conflicting baseline characteristics were associated with session attendance and clinically significant weight loss, suggesting that alternative approaches to optimizing interventions are needed.