Postprandial Glycemic Impact of Meal Timing and Staple Type in Outpatients with Dysglycemia: A Pilot Study Under a
Shihan Wang1, Shuoning Song1, Junxiang Gao1
1Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Objective:
Effectively managing postprandial blood glucose is significant for impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM). We developed a streamlined and real-world framework and evaluated how meal timing and staple food type affect postprandial glycemic responses (PPGRs) and the influencing factors on inter-individual differences of PPGR.
Materials And Methods:
We conducted a prospective observational study involving 33 patients with IGT and T2DM. Over a 1-week free-living period, participants completed 7 standardized meal tests: glucose solutions at breakfast, lunch, and dinner; steamed bread, rice, noodles, and oats at lunch. Linear mixed-effects models were used to compare PPGR differences of meal timing and staple food type effects. Linear regression models were applied to explore factors influencing inter-individual heterogeneity in PPGRs.
Results:
Participants deemed the framework simple and well tolerated. Meal timing had no significant effect on PPGR at 120 minutes (time effect P = 0.110) or 180 minutes (time effect P = 0.097). HOMA-IR was positively associated with the meal timing variability index (adjusted: β = 9.10, 95% CI: 3.01-15.20, P = 0.005). Staple food types affected 120- and 180-minute incremental area under the curve (iAUC), relative peak glucose, and glucose fluctuation amplitude (staple food type effect P < 0.001), but had no significant effects on time to peak or coefficient of variation (staple food type effect P > 0.05). Those born in northern China had a significantly higher refined staple food sensitivity index (adjusted: β = 267.14, 95% CI: 59.18-475.09, P = 0.014).
Conclusion:
The framework enables convenient, outpatient-based assessment of PPGRs and is highly acceptable to patients. We need to focus not only on the group-level general characteristics of PPGRs but also analyze their individual-level heterogeneity; this emphasizes the critical role of personalized nutrition.
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