ArticleDigital health
Mobile weight self-monitoring adherence and eating behavior changes: A secondary analysis of a 12-month RCT.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Changes in eating behavior in people with obesity after the use of a mobile health behavior change support system: an 18-month randomized controlled trial.International journal of obesity (2005) · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mobile health behavior change support systems (mHBCSS) have been shown effective in weight management by promoting self-monitoring, a persuasive strategy that enhances engagement and supports healthier behaviors. Daily weight tracking supports weight loss but may increase the risk of disordered eating, particularly in individuals with obesity. Objective: To assess the 12-month impact of weight self-monitoring on eating behaviors among individuals with obesity using a mHBCSS. Methods: We analyzed data from 98 participants in a 12-month randomized controlled trial using a mHBCSS. Participants were grouped into "continuous self-monitors" (monitored ≥6 months) and "non-continuous self-monitors." Outcomes included binge eating scale (BES), cognitive restraint (CR), emotional eating (EE), and uncontrolled eating (UE). Between-group differences at each time point (0, 6 and 12 months) were evaluated with the Mann-Whitney U test. Within-group changes over time were analyzed using the Friedman test, followed by Wilcoxon signed-rank tests for pairwise comparisons. Results: Continuous self-monitors exhibited significantly higher CR at six months (p < 0.01) and lower BES across all time points (p < 0.05, < 0.01, < 0.001) when compared to non-continuous self-monitors. Within-group analysis revealed that in the continuous self-monitor group, BES, UE and EE showed significant reductions over time (p < 0.0001), while CR increased (p < 0.0001). Conclusion: Continuous self-monitoring appears to support sustained improvements in eating behaviors, including increased CR and reductions in disordered eating patterns over time. These findings highlight the potential of tailored mHBCSS, using evidence-based strategies, personalized feedback, and subtle reminders, to enhance engagement, promote healthier habits, and reduce the risk of disordered eating.
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Registered trials
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