Personalized dietary feedback mediates the association of dietary self-monitoring adherence and weight loss: a post-hoc analysis of the Personal Diet Study. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Dietary self-monitoring is central to effective personalized nutrition, providing critical data to inform tailored feedback and support behavior change. OBJECTIVE: To examine the impact of dietary self-monitoring adherence and the indirect effect of personalized scores to predict postprandial glycemic response (PPGR) on weight loss. METHODS: Post-hoc analysis of the Personal Diet Study that investigated the impact of a machine algorithm-based diet that integrates clinical and microbiome features (Personalized) compared to a standard, low-fat diet (Standardized) on weight loss. All participants received behavioral counseling and were encouraged to self-monitor dietary intake via a smartphone app. Personalized received algorithm-based scores (1 to 5) on predicted PPGR to foods logged (PPGR score; 1-2 indicating optimal; 3-5 suboptimal). Dietary self-monitoring adherence was the percentage of days logging ≥50% of target calories, classified as high or low. PPGR score quality was calculated by the proportion of optimal predicted PPGR scores per day; defined as "high-PPGR quality" days when this exceeded the group average. Mediation analysis assessed whether PPGR quality mediated the relationship between dietary self-monitoring adherence and weight loss. RESULTS: Participants with high self-monitoring adherence lost an average of 4.2% of their baseline weight, compared to 1.9% among those with low adherence (p=0.016). High self-monitoring adherence was associated with a greater likelihood of achieving ≥5% weight loss (aOR=3.67, 95% CI: 1.63-8.50). Within Personalized, high PPGR quality mediated 53.4% of the total effect of self-monitoring adherence on weight loss (p<0.001). CONCLUSION: Consistent self-monitoring coupled with personalized feedback may significantly enhance weight loss in a precision nutrition approach. CLINICAL TRIAL REGISTRATION: NCT03336411.

publication date

  • January 13, 2026

Identity

Digital Object Identifier (DOI)

  • 10.1016/j.tjnut.2026.101364

PubMed ID

  • 41539436