Daily eating window duration and dietary intake shape 24-hour glycemic patterns in type 2 diabetes: a functional data analysis approach.
5 affiliations
- 1Department of Data Science, College of Computing, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong SAR, China.
- 2City University of Hong Kong (Dongguan), Songshan Lake High-Tech Industrial Development Zone, Dongguan, China.
- 3Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, 1279 Sanmen Road, Shanghai, 200434, China. [email protected].
- 4School of Computer Science and Technology, Tongji University, 4800 Caoan Highway, Shanghai, 201804, China. [email protected].
- 5Department of Data Science, College of Computing, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong SAR, China. [email protected].
Abstract
Background
The increasing prevalence of type 2 diabetes (T2D) highlights the need for effective glycemic control strategies. Time-restricted eating (TRE) shows promise for metabolic health, but its effectiveness in glucose management among individuals with type 2 diabetes, and its role in modulating glucose responses to dietary intake remain poorly understood. We aimed to identify temporal associations of TRE and dietary intake with 24-hour glucose dynamics. We further examined the interactions between eating windows and carbohydrate intake.Methods
Clinical information, dietary records, and continuous glucose monitoring data from 90 Chinese adults with type 2 diabetes were analyzed. Two digital biomarkers were developed to characterize duration and regularity of eating patterns: a binary indicator for eating windows < 10 h (TRE10) and a continuous measure of deviation from an individual's median eating window (TWD). Linear mixed-effects models and functional data analysis were used to examine independent and temporal associations of glucose levels with TRE and dietary intakes.Results
TRE10 was associated with reduced mean amplitude of glycemic excursions (MAGE) (β = -7.14, P = 0.031) and glucose standard deviation (SD) (β = -2.16, P = 0.035), with the strongest associations around 09:00. TWD was positively associated with glycemic coefficient of variation (CV) (β = 0.36, P = 0.050) and higher glucose levels between 07:00 and 08:00. Carbohydrate intake was significantly associated with time in range (TIR) and glycemic variability, with notable glucose changes at 10:00 and 21:00. Dietary vitamin D intake was linked to reduced glycemic area under the curve (AUC) (β = -0.29, P = 0.040), with pronounced effects at 12:00 and 20:00. Additionally, eating windows < 10 h were associated with lower carbohydrate-induced glucose spikes in the morning but higher glucose responses in the early afternoon.Conclusions
In adults with type 2 diabetes, eating windows < 10 h and consistent eating windows were associated with better glycemic control, with distinct time-of-day effects. These findings support integrating timing-based nutritional strategies into personalized diabetes management.
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BibTeX
@article{xu2026daily,
title = {{Daily eating window duration and dietary intake shape 24-hour glycemic patterns in type 2 diabetes: a functional data analysis approach.}},
author = {Wenxin Xu and Collin Sakal and Wei Zhang and Tong Chen and Congrong Wang and Qinpei Zhao and Xinyue Li},
journal = {BMC medicine},
year = {2026},
month = aug,
doi = {10.1186/s12916-026-05105-2},
url = {https://europepmc.org/article/MED/42972418},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Daily eating window duration and dietary intake shape 24-hour glycemic patterns in type 2 diabetes: a functional data analysis approach.
AU - Wenxin Xu
AU - Collin Sakal
AU - Wei Zhang
AU - Tong Chen
AU - Congrong Wang
AU - Qinpei Zhao
AU - Xinyue Li
PY - 2026
DA - 2026/08/01
JO - BMC medicine
DO - 10.1186/s12916-026-05105-2
UR - https://europepmc.org/article/MED/42972418
AB - Background The increasing prevalence of type 2 diabetes (T2D) highlights the need for effective glycemic control strategies. Time-restricted eating (TRE) shows promise for metabolic health, but its effectiveness in glucose management among individuals with type 2 diabetes, and its role in modulating glucose responses to dietary intake remain poorly understood. We aimed to identify temporal associations of TRE and dietary intake with 24-hour glucose dynamics. We further examined the interactions between eating windows and carbohydrate intake.Methods Clinical information, dietary records, and continuous glucose monitoring data from 90 Chinese adults with type 2 diabetes were analyzed. Two digital biomarkers were developed to characterize duration and regularity of eating patterns: a binary indicator for eating windows < 10 h (TRE10) and a continuous measure of deviation from an individual's median eating window (TWD). Linear mixed-effects models and functional data analysis were used to examine independent and temporal associations of glucose levels with TRE and dietary intakes.Results TRE10 was associated with reduced mean amplitude of glycemic excursions (MAGE) (β = -7.14, P = 0.031) and glucose standard deviation (SD) (β = -2.16, P = 0.035), with the strongest associations around 09:00. TWD was positively associated with glycemic coefficient of variation (CV) (β = 0.36, P = 0.050) and higher glucose levels between 07:00 and 08:00. Carbohydrate intake was significantly associated with time in range (TIR) and glycemic variability, with notable glucose changes at 10:00 and 21:00. Dietary vitamin D intake was linked to reduced glycemic area under the curve (AUC) (β = -0.29, P = 0.040), with pronounced effects at 12:00 and 20:00. Additionally, eating windows < 10 h were associated with lower carbohydrate-induced glucose spikes in the morning but higher glucose responses in the early afternoon.Conclusions In adults with type 2 diabetes, eating windows < 10 h and consistent eating windows were associated with better glycemic control, with distinct time-of-day effects. These findings support integrating timing-based nutritional strategies into personalized diabetes management.
SN - 1741-7015
ER -