Affiliation:
1. Department of Allied Health Sciences, University of Connecticut Storrs Connecticut USA
2. WW International, Inc. New York New York USA
3. Department of Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville Florida USA
4. Center for Weight and Eating Disorders Program Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Abstract
AbstractObjectiveThe aim of this study was to identify the levels of food‐tracking adherence that best predict ≥3%, ≥5%, and ≥10% weight loss at 6 months and to identify distinctive food‐tracking trajectories among participants in a 6‐month, commercial digital weight‐management program.MethodsThis study used data from 153 participants of a single‐arm trial of a commercial digital weight‐management program, WeightWatchers (WW). Receiver operating characteristic (ROC) curve analysis was conducted to identify the optimum thresholds of food tracking that can predict ≥3%, ≥5%, and ≥10% weight loss at 6 months. Time series clustering analysis was performed on weekly food‐tracking data to identify trajectories and compare trajectories on weight loss at 6 months.ResultsROC analyses showed that the optimum thresholds of food tracking were 28.5% of the intervention days to achieve ≥3% weight loss (area under the curve [AUC] = 0.820, p < 0.001), 39.4% to achieve ≥5% weight loss (AUC = 0.744, p < 0.001), and 67.1% to achieve 10% weight loss (AUC = 0.712, p = 0.002). Time series clustering analyses found three food‐tracking trajectories. Trajectories differed significantly in weight loss at 6 months (F = 14.1, p < 0.001).ConclusionsResults suggest that perfect food‐tracking adherence is not necessary to achieve clinically significant weight loss.
Funder
National Heart, Lung, and Blood Institute
WW International
Subject
Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)