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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Obesityarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Obesity
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Obesity
Article . 2023
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How much food tracking during a digital weight‐management program is enough to produce clinically significant weight loss?

Authors: Ran Xu; Richard Bannor; Michelle I. Cardel; Gary D. Foster; Sherry Pagoto;

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

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.

Related Organizations
Keywords

Weight Reduction Programs, Behavior Therapy, Food, Research Design, Weight Loss, Humans

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
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