Dataset Information

Long-term weight maintenance after a 17-week weight loss intervention with or without a one-year maintenance program: a randomized controlled trial.

ABSTRACT: Weight lost by obese patients is almost always regained over time. Extended treatment may improve maintenance, but solid evidence is lacking.We determined effectiveness of maintenance therapy after a weight loss program.Together 201 patients (mean age 47 years and BMI 42?kg/m(2), 71% women) were randomly assigned to either a 17-week weight loss program followed by a one-year maintenance program or to a weight loss program without subsequent maintenance intervention. The weight loss program included behavior modification and a very-low-calorie diet, and maintenance program behavior modification. The primary outcome measure was percentage of patients with 5% or more weight loss at the end of maintenance (week 69) and one year later (week 121). Secondary outcomes were weight related changes in lifestyle and quality of life.At week 69, 52% of the patients with and 44% of those without maintenance program had lost weight ?5%, P = 0.40, and, at week 121, 33% and 34%, P = 0.77, respectively. At week 121 secondary outcomes did not differ between the groups among those successfully followed up.This one-year maintenance program was not effective in preventing weight regain in severely obese patients. Trial Registration. This trial is registered under clinicaltrials.gov Identifier: NCT00590655.

SUBMITTER: Pekkarinen T

PROVIDER: S-EPMC4396554 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Long-term weight maintenance after a 17-week weight loss intervention with or without a one-year maintenance program: a randomized controlled trial.

Pekkarinen Tuula T Kaukua Jarmo J Mustajoki Pertti P

Journal of obesity 20150330

<h4>Background</h4>Weight lost by obese patients is almost always regained over time. Extended treatment may improve maintenance, but solid evidence is lacking.<h4>Purpose</h4>We determined effectiveness of maintenance therapy after a weight loss program.<h4>Methods</h4>Together 201 patients (mean age 47 years and BMI 42 kg/m(2), 71% women) were randomly assigned to either a 17-week weight loss program followed by a one-year maintenance program or to a weight loss program without subsequent main ...[more]

PMID: 25918644

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Project description:BackgroundIn obesity management, whether patients lose ≥5% of their initial weight is a critical factor in clinical outcomes. However, evaluations that take only this approach are unable to identify and distinguish between individuals whose weight changes vary and those who steadily lose weight. Evaluation of weight loss considering the volatility of weight changes through a mobile-based intervention for obesity can facilitate understanding of an individual's behavior and weight changes from a longitudinal perspective.ObjectiveThe aim of this study is to use a machine learning approach to examine weight loss trajectories and explore factors related to behavioral and app use characteristics that induce weight loss.MethodsWe used the lifelog data of 13,140 individuals enrolled in a 16-week obesity management program on the health care app Noom in the United States from August 8, 2013, to August 8, 2019. We performed k-means clustering with dynamic time warping to cluster the weight loss time series and inspected the quality of clusters with the total sum of distance within the clusters. To identify use factors determining clustering assignment, we longitudinally compared weekly use statistics with effect size on a weekly basis.ResultsThe initial average BMI value for the participants was 33.6 (SD 5.9) kg/m2, and it ultimately reached 31.6 (SD 5.7) kg/m2. Using the weight log data, we identified five clusters: cluster 1 (sharp decrease) showed the highest proportion of participants who reduced their weight by >5% (7296/11,295, 64.59%), followed by cluster 2 (moderate decrease). In each comparison between clusters 1 and 3 (yo-yo) and clusters 2 and 3, although the effect size of the difference in average meal record adherence and average weight record adherence was not significant in the first week, it peaked within the initial 8 weeks (Cohen d>0.35) and decreased after that.ConclusionsUsing a machine learning approach and clustering shape-based time series similarities, we identified 5 weight loss trajectories in a mobile weight management app. Overall adherence and early adherence related to self-monitoring emerged as potential predictors of these trajectories.

Project description:BackgroundDigital health promotion programs tailored to the individual are a potential cost-effective and scalable solution to enable self-management and provide support to people with excess body weight. However, solutions that are widely accessible, personalized, and theory- and evidence-based are still limited.ObjectiveThis study aimed to develop a digital behavior change program, Choosing Health, that could identify modifiable predictors of weight loss and maintenance for each individual and use these to provide tailored support.MethodsWe applied an Intervention Mapping protocol to design the program. This systematic approach to develop theory- and evidence-based health promotion programs consisted of 6 steps: development of a logic model of the problem, a model of change, intervention design and intervention production, the implementation plan, and the evaluation plan. The decisions made during the Intervention Mapping process were guided by theory, existing evidence, and our own research-including 4 focus groups (n=40), expert consultations (n=12), and interviews (n=11). The stakeholders included researchers, public representatives (including individuals with overweight and obesity), and experts from a variety of relevant backgrounds (including nutrition, physical activity, and the health care sector).ResultsFollowing a structured process, we developed a tailored intervention that has the potential to reduce excess body weight and support behavior changes in people with overweight and obesity. The Choosing Health intervention consists of tailored, personalized text messages and email support that correspond with theoretical domains potentially predictive of weight outcomes for each participant. The intervention content includes behavior change techniques to support motivation maintenance, self-regulation, habit formation, environmental restructuring, social support, and addressing physical and psychological resources.ConclusionsThe use of an Intervention Mapping protocol enabled the systematic development of the Choosing Health intervention and guided the implementation and evaluation of the program. Through the involvement of different stakeholders, including representatives of the general public, we were able to map out program facilitators and barriers while increasing the ecological validity of the program to ensure that we build an intervention that is useful, user-friendly, and informative. We also summarized the lessons learned for the Choosing Health intervention development and for other health promotion programs.International registered report identifier (irrid)RR2-10.1136/bmjopen-2020-040183.

Project description:BackgroundNew obesity medications result in large weight losses. However, long-term adherence in a real-world setting is challenging, and termination of obesity medication results in weight regain towards pre-treatment body weight. Therefore, we investigated whether weight loss and improved body composition are sustained better at 1 year after termination of active treatment with glucagon-like peptide-1 (GLP-1) receptor agonist, supervised exercise program, or both combined for 1 year.MethodsWe conducted a post-treatment study in extension of a randomised, controlled trial in Copenhagen. Adults with obesity (aged 18-65 years and initial body mass index 32-43 kg/m2) completed an eight-week low-calorie diet-induced weight loss of 13.1 kg (week -8 to 0) and were randomly allocated (1:1:1:1) to one-year weight loss maintenance (week 0-52) with either supervised exercise, the GLP-1 receptor agonist once-daily subcutaneous liraglutide 3.0 mg, the combination of exercise and liraglutide, or placebo. 166 Participants completed the weight loss maintenance phase. All randomised participants were invited to participate in the post-treatment study with outcome assessments one year after treatment termination, at week 104. The primary outcome of the post-treatment assessment was change in body weight from after the initial weight loss (at randomisation, week 0) to one year after treatment termination (week 104) in the intention-to-treat population. The secondary outcome was change in body-fat percentage (week 0-104). The study is registered with EudraCT, 2015-005585-32, and with ClinicalTrials.gov, NCT04122716.FindingsBetween Dec 17, 2018, and Dec 17, 2020, 109 participants attended the post-treatment study. From randomisation to one year after termination of combined exercise and liraglutide treatment (week 0-104), participants had reduced body weight (-5.1 kg [95% CI -10.0; -0.2]; P = 0.040) and body-fat percentage (-2.3%-points [-4.3 to -0.3]; P = 0.026) compared with after termination of liraglutide alone. More participants who had previously received combination treatment maintained a weight loss of at least 10% of initial body weight one year after treatment termination (week -8 to 104) compared with participants who had previously received placebo (odds ratio [OR] 7.2 [2.4; 21.3]) and liraglutide (OR 4.2 [1.6; 10.8]). More participants who had previously received supervised exercise maintained a weight loss of at least 10% compared with placebo (OR 3.7 [1.2; 11.1]). During the year after termination of treatment (week 52-104), weight regain was 6.0 kg [2.1; 10.0] larger after termination of liraglutide compared with after termination of supervised exercise and 2.5 kg [-1.5 to 6.5] compared with after termination of combination treatment.InterpretationThe addition of supervised exercise to obesity pharmacotherapy seems to improve healthy weight maintenance after treatment termination compared with treatment termination of obesity pharmacotherapy alone. Body weight and body composition were maintained one year after termination of supervised exercise, in contrast to weight regain after termination of treatment with obesity pharmacotherapy alone.FundingHelsefonden and the Novo Nordisk Foundation.

Dataset Information

Long-term weight maintenance after a 17-week weight loss intervention with or without a one-year maintenance program: a randomized controlled trial.

Publications

Long-term weight maintenance after a 17-week weight loss intervention with or without a one-year maintenance program: a randomized controlled trial.

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