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Multicenter evaluation of an interdisciplinary 52-week weight loss program for obesity with regard to body weight, comorbidities and quality of life--a prospective study.

ABSTRACT: OBJECTIVES: To determine the effectiveness of a structured multidisciplinary non-surgical obesity therapy program on the basis of a temporary low-calorie-diet for 12 weeks, and additional intervention modules to enhance nutritional education, to increase physical activity and to modify eating behavior. DESIGN: Prospective multicenter observational study in obese individuals undergoing a medically supervised outpatient-based 52-week treatment in 37 centers in Germany. SUBJECTS: A total of 8296 participants with a body mass index (BMI) of >30 kg m(-2) included within 8.5 years. MEASUREMENTS: Main outcome measures were body weight loss, waist circumference (WC), blood pressure, quality of life and adverse events. RESULTS: In females, initial body weight was reduced after the 1-year-intervention by 19.6 kg (95% confidence intervals 19.2-19.9 kg) and in males by 26.0 kg (25.2-26.8) according to per protocol analysis of 4850 individuals. Intention-to-treat (ITT) analysis revealed a weight reduction of 15.2 kg (14.9-15.6) in females and 19.4 kg (18.7-20.1) in males. Overall, the intervention resulted in mean reduction in WC of 11 cm; it reduced the prevalence of the metabolic syndrome by 50% and the frequency of hypertension from 47 to 29% of all participants (ITT, all P<0.001). The beneficial effects could be documented for up to 3 years and comprised significant improvement of health-related quality of life. The incidence of adverse effects was low; the only event repeatedly observed and possibly related to either the intervention or the underlying disease was biliary disorders. CONCLUSION: The present non-surgical intervention program is a highly effective treatment of obesity grades I-III and obesity-related diseases, and therefore, could be a valuable basis for future weight maintenance strategies required for sustained success.

SUBMITTER: Bischoff SC

PROVIDER: S-EPMC3322430 | biostudies-other | 2012 Apr

REPOSITORIES: biostudies-other

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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:BackgroundThe standard of care for treating overweight and obesity is daily caloric restriction (DCR). While this approach produces modest weight loss, adherence to DCR declines over time and weight regain is common. Intermittent fasting (IMF) is an alternative dietary strategy for reducing energy intake (EI) that involves >60% energy restriction on 2-3 days per week, or on alternate days, with habitual intake on fed days. While numerous studies have evaluated IMF as a weight loss strategy, there are several limitations including lack of a standard-of-care DCR control, failure to provide guideline-based behavioral support, and failure to rigorously evaluate dietary and PA adherence using objective measures. To date, only three longer-term (52-week) trials have evaluated IMF as a weight loss strategy. None of these longer-duration studies reported significant differences between IMF and DCR in changes in weight. However, each of these studies has limitations that prohibit drawing generalizable conclusions about the relative long-term efficacy of IMF vs. DCR for obesity treatment.MethodsThe Daily Caloric Restriction vs. Intermittent Fasting Trial (DRIFT) is a two-arm, 52-week block randomized (1:1) clinical weight loss trial. The two intervention arms (DCR and IMF) are designed to prescribe an equivalent average weekly energy deficit from baseline weight maintenance energy requirements. Both DCR and IMF will be provided guideline-based behavioral support and a PA prescription. The primary outcome is change in body weight at 52 weeks. Secondary outcomes include changes in body composition (dual-energy x-ray absorptiometry (DXA)), metabolic parameters, total daily energy expenditure (TDEE, doubly labeled water (DLW)), EI (DLW intake-balance method, 7-day diet diaries), and patterns of physical activity (PA, activPAL device).DiscussionAlthough DCR leads to modest weight loss success in the short-term, there is wide inter-individual variability in weight loss and poor long-term weight loss maintenance. Evidence-based dietary approaches to energy restriction that are effective long-term are needed to provide a range of evidence-based options to individuals seeking weight loss. The DRIFT study will evaluate the long-term effectiveness of IMF vs. DCR on changes in objectively measured weight, EI, and PA, when these approaches are delivered using guideline-based behavioral support and PA prescriptions.

Project description:BACKGROUND:The long-acting injectable antipsychotic aripiprazole once-monthly 400 mg (AOM 400) was recently approved for maintenance treatment of bipolar I disorder (BP-I). The purpose of this study was to evaluate the safety, tolerability, and efficacy of AOM 400 as long-term maintenance treatment for BP-I. METHODS:This open-label multicenter study evaluated the effectiveness of AOM 400 as maintenance treatment for BP-I by assessing safety and tolerability (primary objective) and efficacy (secondary objective). The study enrolled AOM 400-naive ("de novo") patients as well as AOM 400-experienced ("rollover") patients with BP-I from a lead-in randomized, placebo-controlled clinical trial that demonstrated the efficacy of AOM 400 in the maintenance treatment of BP-I (Calabrese et al. in J Clin Psychiatry 78:324-331, 2017). Safety variables included frequency and severity of treatment-emergent adverse events (TEAEs) and TEAEs resulting in study discontinuation. Efficacy was assessed by the proportion of patients maintaining stability throughout the maintenance phase, as well as mean changes from baseline in Young Mania Rating Scale (YMRS), Montgomery-Asberg Depression Rating Scale, and Clinical Global Impressions for Bipolar Disorder-Severity of Illness Scale (CGI-BP-S) total scores. Patient acceptability and tolerability of treatment was assessed using the Patient Satisfaction with Medication Questionnaire-Modified. RESULTS:Of 464 patients entering the maintenance phase, 379 (82%) were de novo and 85 (18%) were rollover. TEAEs were more common in de novo than rollover patients. The overall discontinuation rate due to TEAEs was 10.3% (48/464). Improvements in YMRS and CGI-BP-S total scores were maintained during the study, and the vast majority of both de novo (87.0%) and rollover (97.6%) patients maintained stability through their last visit. Overall, the need for rescue medication during the maintenance phase was minimal (<?10% of patients). Patient satisfaction levels were high, with both de novo and rollover patients rating the side effect burden of AOM 400 as greatly improved relative to previous medications. CONCLUSION:AOM 400 was safe, effective, and well tolerated by both de novo and AOM 400-experienced patients with BP-I for long-term maintenance treatment. Trial registration ClinicalTrials.gov, NCT01710709.

Project description:BackgroundIntermittent fasting (IF) is an increasingly popular approach to dietary control that focuses on the timing of eating rather than the quantity and content of caloric intake. IF practitioners typically seek to improve their weight and other health factors. Millions of practitioners have turned to purpose-built mobile apps to help them track and adhere to their fasts and monitor changes in their weight and other biometrics.ObjectiveThis study aimed to quantify user retention, fasting patterns, and weight loss by users of 2 IF mobile apps. We also sought to describe and model starting BMI, amount of fasting, frequency of weight tracking, and other demographics as correlates of retention and weight change.MethodsWe assembled height, weight, fasting, and demographic data of adult users (ages 18-100 years) of the LIFE Fasting Tracker and LIFE Extend apps from 2018 to 2020. Retention for up to 52 weeks was quantified based on recorded fasts and correlated with user demographics. Users who provided height and at least 2 readings of weight and whose first fast and weight records were contemporaneous were included in the weight loss analysis. Fasting was quantified as extended fasting hours (EFH; hours beyond 12 in a fast) averaged per day (EFH per day). Retention was modeled using a Cox proportional hazards regression. Weight loss was analyzed using linear regression.ResultsA total of 792,692 users were followed for retention based on 26 million recorded fasts. Of these, 132,775 (16.7%) users were retained at 13 weeks, 54,881 (6.9%) at 26 weeks, and 16,478 (2.1%) at 52 weeks, allowing 4 consecutive weeks of inactivity. The survival analysis using Cox regression indicated that retention was positively associated with age and exercise and negatively associated with stress and smoking. Weight loss in the qualifying cohort (n=161,346) was strongly correlated with starting BMI and EFH per day, which displayed a positive interaction. Users with a BMI ≥40 kg/m2 lost 13.9% of their starting weight by 52 weeks versus a slight weight gain on average for users with starting BMI <23 kg/m2. EFH per day was an approximately linear predictor of weight loss. By week 26, users lost over 1% of their starting weight per EFH per day on average. The regression analysis using all variables was highly predictive of weight change at 26 weeks (R2=0.334) with starting BMI and EFH per day as the most significant predictors.ConclusionsIF with LIFE mobile apps appears to be a sustainable approach to weight reduction in the overweight and obese population. Healthy weight and underweight individuals do not lose much weight on average, even with extensive fasting. Users who are obese lose substantial weight over time, with more weight loss in those who fast more.

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Multicenter evaluation of an interdisciplinary 52-week weight loss program for obesity with regard to body weight, comorbidities and quality of life--a prospective study.

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