How much food tracking during a digital weight-management program is enough to produce clinically significant weight loss?

Abstract

Objective: The 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.

Methods: This 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.

Results: ROC 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).

Conclusions: Results suggest that perfect food-tracking adherence is not necessary to achieve clinically significant weight loss.

Trial registration: ClinicalTrials.gov NCT04302389.