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. 2023 Oct 2:10:1213661.
doi: 10.3389/fnut.2023.1213661. eCollection 2023.

Effects of reducing free sugars on 24-hour glucose profiles and glycemic variability in subjects without diabetes

Affiliations

Effects of reducing free sugars on 24-hour glucose profiles and glycemic variability in subjects without diabetes

Christina Laeticia Pappe et al. Front Nutr. .

Abstract

Background: The Western diet, especially beverages and high processed food products, is high in sugars which are associated with the development of obesity and diabetes. The reduction of refined carbohydrates including free and added sugars improves glycemic control in individuals with diabetes, but the data regarding effects in subjects without diabetes are limited.

Objective: This study aimed to evaluate the effects of reducing free sugar intake on 24-h glucose profiles and glycemic variability using continuous glucose monitoring (CGM).

Methods: In the randomized controlled study, 21 normal weight and overweight/obese subjects (BMI 18-40 kg/m2) without diabetes were assigned to a 4-week reduced-sugar (RS) diet or control diet after a 2-week baseline phase. During the baseline phase, all participants were advised not to change their habitual diet. During the intervention phase, RS participants were asked to avoid added sugar and white flour products, whereas participants of the control group were requested to proceed their habitual diet. Anthropometric parameters and HbA1c were assessed before and at the end of the intervention phase. Interstitial glucose was measured using continuous glucose monitoring (CGM), and the food intake was documented by dietary records for 14 consecutive days during the baseline phase and for the first 14 consecutive days during the intervention phase. Mean 24-h glucose as well as intra- and inter-day indices of glucose variability, i.e., standard deviation (SD) around the sensor glucose level, coefficient of variation in percent (CV), mean amplitude of glucose excursions (MAGE), continuous overlapping net glycemic action (CONGA), and mean absolute glucose (MAG), were calculated for the baseline and intervention phases.

Results: During the intervention, the RS group decreased the daily intake of sugar (i.e., -22.4 ± 20.2 g, -3.28 ± 3.61 EN %), total carbohydrates (-6.22 ± 6.92 EN %), and total energy intake (-216 ± 108 kcal) and increased the protein intake (+2.51 ± 1.56 EN %) compared to the baseline values, whereby this intervention-induced dietary changes differed from the control group. The RS group slightly reduced body weight (-1.58 ± 1.33 kg), BMI, total fat, and visceral fat content and increased muscle mass compared to the baseline phase, but these intervention-induced changes showed no differences in comparison with the control group. The RS diet affected neither the 24-h mean glucose levels nor intra- and inter-day indices of glucose variability, HbA1c, or diurnal glucose pattern in the within- and between-group comparisons.

Conclusion: The dietary reduction of free sugars decreases body weight and body fat which may be associated with reduced total energy intake but does not affect the daily mean glucose and glycemic variability in individuals without diabetes.

Clinical trial registration: German Clinical Trials Register (DRKS); identifier: DRKS00026699.

Keywords: continuous glucose monitoring; free sugar reduction; glucose metabolism; glycemic variability; obesity.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Changes of daily calorie intake (A) and macronutrient composition (B) during the intervention in the RS and control groups. RS group n = 9, control group n = 11 (one participant in the RS group was excluded due to missing nutrition protocol). Data are visualized as columns and whiskers for mean ± SD. #p < 0.05, ##p < 0.01, and ###p < 0.001 in the within-group comparisons of dietary parameters (during the intervention vs. before the intervention) assessed by paired t-test. *p < 0.05, **p < 0.01, and ***p < 0.001 in the between-group comparisons (RS group vs. control group) of intervention-induced changes (Δ values) assessed by Student's unpaired t-test. CHO, carbohydrates.
Figure 2
Figure 2
Changes of anthropometric and body composition parameters after the intervention in the RS and control groups. (A) Body weight; (B) BMI; (C) total body fat content; (D) visceral fat content; (E) muscle mass in percentage; (F) waist circumference; (G) hip circumference. Normally distributed data are visualized as columns and whiskers for mean ± SD. Non-normally distributed data are shown as box plots for median and IQR (line at median, top of the box at the 75th percentile, bottom of the box at the 25th percentile). #p < 0.05, ##p < 0.01 in the within-group comparisons of parameters (after the intervention vs. before the intervention) assessed by paired t-test or Wilcoxon test.
Figure 3
Figure 3
24-h glucose profiles in the RS group (A) and control group (B) before and during the intervention. RS group n = 9, control group n = 11 (one participant in the RS group was excluded due to unreadable sensor data). Data points are shown as mean ± SD. P-values show the comparison of diurnal glucose profiles between the baseline and intervention phases as calculated by the RM ANOVA.

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