A precision nutrition intervention using real-time, algorithm-driven feedback did not significantly improve the mean amplitude of glycemic excursions compared to usual care (p=0.13).
RCT (n=161)
3-arm
Does a personalized or standardized Mediterranean diet telemedicine intervention improve glycemic variability in adults with moderately controlled type 2 diabetes?
161 U.S. adults aged 21-80 years with moderately controlled type 2 diabetes (HbA1c 6.5-8.0%) followed for 6 months.
Personalized intervention (14 behavioral counseling sessions on Mediterranean diet-based diabetes self-management plus real-time, algorithm-driven feedback on predicted postprandial glycemic response) or Standardized intervention (14 counseling sessions only) over 6 months.
Usual care control (UCC).
Change in glycemic variability metrics, including mean amplitude of glycemic excursions (MAGE), at 3 and 6 months.surrogate
A 6-month fully remote precision nutrition intervention using real-time feedback did not improve most glycemic variability indices beyond usual care or standard Mediterranean diet counseling in moderately controlled T2D.
p-value: p=0.13
Introduction and Objective: Dietary recommendations for type 2 diabetes (T2D) aim to minimize postprandial glycemic response (PPGR), yet the optimal strategy remains unclear. The impact of precision nutrition on glycemic control is also not well established. Methods: The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study was a fully remote, 6-month, 3-arm randomized controlled trial in U.S. adults (21-80 years) with moderately controlled T2D (HbA1c 6.5-8.0%). Participants were randomized to: (1) usual care control (UCC), (2) a Standardized intervention, or (3) a Personalized intervention. The Standardized arm received 14 behavioral counseling sessions focused on Mediterranean diet-based diabetes self-management; the Personalized arm received all Standardized components plus real-time, algorithm-driven feedback on predicted PPGR. Participants wore a continuous glucose monitor at baseline, 3, and 6 months to assess glycemic variability (GV) metrics, including mean amplitude of glycemic excursions (MAGE). Linear mixed models were used to compare changes in GV between arms. Results: Participants (n=161; UCC: n=59; Standardized: n=61; Personalized: n=41) were 60±12 years, 62.7% female, 46.6% White, 80.7% non-Hispanic; HbA1c was 6.77%±0.6%. The change in MAGE did not differ significantly between UCC and Standardized (p=0.24), UCC and Personalized (p=0.13), or Standardized and Personalized (p=0.70). Changes in other GV metrics were also not significantly different among the arms at 3 and 6 months. At 6 months, the Personalized arm showed a greater reduction in the coefficient of variation (CV) compared with UCC (mean difference: −1.84%; 95% CI: −3.57 to −0.11; p=0.04). Conclusion: In adults with moderately controlled T2D, a precision nutrition intervention using real-time, algorithm-driven PPGR feedback did not improve MAGE or most GV indices beyond usual care or Mediterranean diet-based counseling. Disclosure L. Berube: None. C. Wang: None. M. Curran: None. M. Pompeii: None. C. Thao: None. E.P. Ribeiro: None. S. Barua: None. L. Hu: None. H. Li: None. D.E. St-Jules: None. E. Segal: None. M. Bergman: Advisory Panel; Ended; Novo Nordisk. Advisory Panel; Current; Abbott. C. Popp: Consultant; Current; Longevix. Funding National Institutes of Health (R01NR018916)
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LAUREN BERUBE
Mount Sinai Beth Israel
CHAN WANG
Mount Sinai Beth Israel
Margaret Curran
Mount Sinai Beth Israel
Diabetes
Mount Sinai Beth Israel
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BERUBE et al. (Fri,) conducted a rct in Type 2 Diabetes (n=161). Personalized dietary management (Mediterranean diet + real-time PPGR feedback) vs. Usual care control or Standardized Mediterranean diet counseling was evaluated on Change in mean amplitude of glycemic excursions (MAGE) (p=0.13). A precision nutrition intervention using real-time, algorithm-driven feedback did not significantly improve the mean amplitude of glycemic excursions compared to usual care (p=0.13).
synapsesocial.com/papers/6a250b0e7def13d035e1b057 — DOI: https://doi.org/10.2337/db26-2783-lb
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