-
1.
Associations of quantity and quality of carbohydrate sources with subjective appetite sensations during 3-year weight-loss maintenance: Results from the PREVIEW intervention study.
Zhu, R, Larsen, TM, Poppitt, SD, Silvestre, MP, Fogelholm, M, Jalo, E, Hätönen, KA, Huttunen-Lenz, M, Taylor, MA, Simpson, L, et al
Clinical nutrition (Edinburgh, Scotland). 2022;(1):219-230
Abstract
BACKGROUND & AIMS The association of quantity and quality of carbohydrate sources with appetite during long-term weight-loss maintenance (WLM) after intentional weight loss (WL) is unclear. We aimed to investigate longitudinal associations of quantity and quality of carbohydrate sources with changes in subjective appetite sensations during WLM. METHODS This secondary analysis evaluated longitudinal data from the 3-year WLM phase of the PREVIEW study, a 2 × 2 factorial (diet-physical activity arms), multi-center, randomized trial. 1279 individuals with overweight or obesity and prediabetes (25-70 years; BMI≥25 kg m-2) were included. Individuals were merged into 1 group to assess longitudinal associations of yearly changes in appetite sensations. Quantity and quality of carbohydrate sources including total carbohydrate, glycemic index (GI), glycemic load (GL), and total dietary fiber were assessed via 4-day food diaries at 4 timepoints (26, 52, 104, and 156 weeks) during WLM. Visual analog scales were used to assess appetite sensations in the previous week. RESULTS During WLM, participants consumed on average 160.6 (25th, 75th percentiles 131.1, 195.8) g·day-1 of total carbohydrate, with GI 53.8 (48.7, 58.8) and GL 85.3 (67.2, 108.9) g day-1, and 22.3 (17.6, 27.3) g·day-1 of dietary fiber. In the available-case analysis, multivariable-adjusted linear mixed models with repeated measures showed that each 30-g increment in total carbohydrate was associated with increases in hunger (1.36 mm year-1, 95% CI 0.77, 1.95, P < 0.001), desire to eat (1.10 mm year-1, 0.59, 1.60, P < 0.001), desire to eat something sweet (0.99 mm year-1, 0.30, 1.68, P = 0.005), and weight regain (0.20%·year-1, 0.03, 0.36, P = 0.022). Increasing GI was associated with weight regain, but not associated with increases in appetite sensations. Each 20-unit increment in GL was associated with increases in hunger (0.92 mm year-1, 0.33, 1.51, P = 0.002), desire to eat (1.12 mm year-1, 0.62, 1.62, P < 0.001), desire to eat something sweet (1.13 mm year-1, 0.44, 1.81, P < 0.001), and weight regain (0.35%·year-1, 0.18, 0.52, P < 0.001). Surprisingly, dietary fiber was also associated with increases in desire to eat, after adjustment for carbohydrate or GL. CONCLUSIONS In participants with moderate carbohydrate and dietary fiber intake, and low to moderate GI, we found that higher total carbohydrate, GL, and total fiber, but not GI, were associated with increases in subjective desire to eat or hunger over 3 years. This study was registered as ClinicalTrials.gov, NCT01777893.
-
2.
The effect of bedtime snacks on fasting blood glucose levels in gestational diabetes mellitus.
Henze, M, Burbidge, H, Nathan, E, Graham, DF
Diabetic medicine : a journal of the British Diabetic Association. 2022;(3):e14718
Abstract
AIM: To investigate the effect of different bedtime snacks (higher carbohydrate versus lower carbohydrate versus no snack) on first morning fasting blood glucose levels (BGLs) in women with diet-controlled gestational diabetes mellitus (GDM) and borderline fasting glucose levels. METHODS This prospective randomised crossover trial enrolled women with diet controlled GDM between 24 and 34 weeks gestation who had two or more first morning fasting BGLs between 4.7 and 5.4 mmol/L in the week prior to recruitment. The women were randomly allocated to 6 different orders of 5 days each of a standardised higher carbohydrate bedtime snack, a lower carbohydrate bedtime snack and no bedtime snack. The primary outcome was fasting capillary BGL as measured with a home glucometer, and the secondary outcome was requirement for insulin as assessed by a physician. RESULTS A total of 68 women with GDM were enrolled in and completed the study at a median gestation of 30.8 weeks. Compared with no bedtime snack, the higher carbohydrate snack (4.96 vs 4.87 mmol/L, mean difference: 0.09 mmol/L, 95% CI 0.05-0.13, p < 0.001) and the lower carbohydrate snack (5.01 vs 4.87 mmol/L, mean difference: 0.14 mmol/L, 95% CI 0.09-0.18, p < 0.001) were both associated with a slightly higher fasting BGL the following morning. CONCLUSIONS Taking a bedtime snack was associated with slightly higher fasting BGLs in women with diet-controlled GDM compared with no bedtime snack (Clinical trial registration: ACTRN12617000659303).
-
3.
The relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio required to maintain glycaemia is non-linear in young people with type 1 diabetes: A randomized crossover trial.
Cordon, NM, Smart, CEM, Smith, GJ, Davis, EA, Jones, TW, Seckold, R, Burckhardt, MA, King, BR
Diabetic medicine : a journal of the British Diabetic Association. 2022;(2):e14675
Abstract
OBJECTIVE To determine if the relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio (ICR) required to maintain glycaemia is linear in people with type 1 diabetes. METHODS We used an open labelled randomized four-arm cross-over study design. Participants (N = 31) aged 12-27 years, HbA1c ≤ 64 mmol/mol (8.0%) received insulin doses based on the individual's ICR and the study breakfast carbohydrate quantity and then consumed four breakfasts containing 20, 50, 100 and 150 g of carbohydrate over four consecutive days in randomized order. The breakfast fat and protein percentages were standardized. Postprandial glycaemia was assessed by 5 h continuous glucose monitoring. The primary outcome was percent time in range (TIR) and secondary outcomes included hypoglycaemia, glucose excursion and incremental area under the curve. Statistical analysis included linear mixed modelling and Wilcoxon signed rank tests. RESULTS The 20 g carbohydrate breakfast had the largest proportion of TIR (0.74 ± 0.29 p < 0.04). Hypoglycaemia was more frequent in the 50 g (n = 13, 42%) and 100 g (n = 15, 50%) breakfasts compared to the 20 g (n = 6, 20%) and 150 g (n = 7, 26%) breakfasts (p < 0.029). The 150 g breakfast glucose excursion pattern was different from the smaller breakfasts with the lowest glucose excursion 0-2 h and the highest excursion from 3.5 to 5 h. CONCLUSIONS A non-linear relationship between insulin requirement and breakfast carbohydrate content was observed, suggesting that strengthened ICRs are needed for meals with ≤20 and ≥150 g of carbohydrate. Meals with ≥150 g of carbohydrate may benefit from dual wave bolusing.
-
4.
Effects of preoperative oral single-dose and double-dose carbohydrates on insulin resistance in patients undergoing gastrectomy:a prospective randomized controlled trial.
Chen, X, Li, K, Yang, K, Hu, J, Yang, J, Feng, J, Hu, Y, Zhang, X
Clinical nutrition (Edinburgh, Scotland). 2021;(4):1596-1603
Abstract
BACKGROUND & AIMS Preoperative oral carbohydrates are strongly recommended for routine use before various elective procedures. The regimen mainly includes preoperative oral single-dose carbohydrate (2-3 h before surgery) and preoperative oral double-dose carbohydrates (10 h before surgery and 2-3 h before surgery). The choice between the two options is still controversial. METHODS A total of 139 patients with gastric cancer who underwent radical gastrectomy were recruited from a hospital in Sichuan Province, China. The patients were randomly assigned to a single-dose group (n = 70) or a double-dose group (n = 69). Insulin resistance indicators, subjective comfort indicators, inflammatory mediators, immunological indicators, postoperative recovery indexes, and complications were compared between the two groups. RESULTS There were no differences in insulin resistance indicators (fasting plasma glucose, fasting insulin, and homeostasis model assessment indexes), inflammatory mediators (C-reactive protein, interleukin-6, and tumor necrosis factor-α), immunological indicators (CD3+, CD4+, CD8+, and CD4+/CD8+) between the single-dose group and double-dose group (all P > 0.05) at preoperative day 1, preoperative 3 h, and postoperative day 1. There were no differences in subjective comfort indicators (thirst, hunger, anxiety, nausea, fatigue, and weakness) between the two groups (all P > 0.05) at preoperative day 1, preoperative 3 h, preoperative 1 h, and postoperative day 1. The postoperative recovery indexes and complications (exhaust time, liquid intake time, postoperative hospital stay, complication incidence, unplanned readmission rate, and unplanned reoperation rate 30 days after operation) did not significantly differ between the two groups (all P > 0.05). The number of preoperative nighttime urinations in the double-dose group was higher than that in the single-dose group (88.3% VS 48.5%, P < 0.001), and the number of hours of preoperative sleep in the double-dose group was lower than that in the single-dose group (4.56 ± 0.68 VS 5.71 ± 0.57, P < 0.001). CONCLUSION Oral carbohydrates administered the night before surgery did not enhance the effects of oral carbohydrates administered 2-3 h before surgery on insulin resistance, subjective comfort, inflammation, and immunity and might affect the patients' night rest. In making a decision between oral carbohydrate regimes, evening carbohydrates could be omitted. TRIAL REGISTRATION ChiCTR, ChiCTR1900020608. Registered January 10, 2019, http://www.chictr.org.cn: ChiCTR1900020608.
-
5.
Caffeine Supplementation or Carbohydrate Mouth Rinse Improves Performance.
Pereira, PEA, Azevedo, P, Azevedo, K, Azevedo, W, Machado, M
International journal of sports medicine. 2021;(2):147-152
Abstract
Training volume is one of the critical variables required to promote resistance training benefits (e. g., hypertrophy, muscular strength). Thus, strategies to improve training volume are required. We tested the hypothesis that there is an increase in performance and reduction in the rate of perceived exertion in strength training with caffeine supplementation, carbohydrate mouth rinse, and a synergistic effect of caffeine supplementation plus carbohydrate mouth rinse. We recruited 29 physically active women: 24±4 years, 60.0±7.9 kg, 161.0±6.0 cm. This study was a double-blind, randomized, placebo-controlled, and crossover one. The subjects performed all sessions of strength training under different conditions: caffeine (6.5 mg·kg-1 body mass); carbohydrate (6 g of maltodextrin rinsed for 10 s); caffeine plus carbohydrate; or placebo. We applied the ANOVA for repeated measures through the null-hypothesis statistical test, and the Bayes factors analyses approach. The subjects showed significant improvement in the total repetitions (P<0.01; BF10 ~99%) for both lower and upper limb exercises in all conditions compared to placebo without difference among interventions. The rate of perceived exertion (P>0.05) did not differ among interventions. However, BF10 analyses showed a higher probability of lower RPE for CAF intervention. We conclude that either caffeine supplementation or carbohydrate mouth rinse can improve performance in resistance training. There is no additional effect of caffeine plus carbohydrate.
-
6.
Efficacy of Bolus Calculation and Advanced Carbohydrate Counting in Type 2 Diabetes: A Randomized Clinical Trial.
Christensen, MB, Serifovski, N, Herz, AMH, Schmidt, S, Hommel, E, Raimond, L, Perrild, H, Gotfredsen, A, Gæde, P, Nørgaard, K
Diabetes technology & therapeutics. 2021;(2):95-103
Abstract
Background: Carbohydrate counting and use of automated bolus calculators (ABCs) can help reduce HbA1c in type 1 diabetes but only limited evidence exists in type 2 diabetes. We evaluated the efficacy of advanced carbohydrate counting (ACC) and use of an ABC compared with manual insulin bolus calculation (MC) in persons with type 2 diabetes. Materials and Methods: A 24-week open-label, randomized clinical study was conducted in 79 persons with type 2 diabetes treated with basal-bolus insulin (mean age 62.5 ± 9.6 years, HbA1c 8.7% ± 1.0% [72 ± 11 mmol/mol], diabetes duration 18.7 ± 7.6 years). Participants were randomized 1:1 into two groups: ABC group received training in ACC and use of an ABC; MC group received training in ACC and manual calculation of insulin bolus. Participants wore blinded continuous glucose monitors for 6 days at baseline and at study end. Primary endpoint was change in HbA1c. Results: After 24 weeks, HbA1c decreased 0.8% (8.8 mmol/mol) in ABC group and 0.8% (9.0 mmol/mol) in MC group with no between-group difference (P = 0.96) and without increase in time in hypoglycemic range (sensor glucose <3.9 mmol/L). Glycemic variability decreased significantly in both groups, whereas the total insulin dose and body mass index (BMI) remained unchanged during the study. Treatment satisfaction increased significantly in both groups after 24 weeks. Conclusion: ACC is an effective, low-cost tool to reduce HbA1c and glycemic variability in persons with basal-bolus insulin-treated type 2 diabetes without increase in hypoglycemia or BMI. Similar effects were seen with use of an ABC and with use of manual bolus calculation. Trial registration: ClinicalTrials.gov NCT02887898.
-
7.
Normal Versus Slowly Processed Pasta and Post-Prandial Glucose Homeostasis in Healthy Subjects: A Pilot Study.
Mengozzi, A, Biancalana, E, Parolini, F, Baldi, S, Raggi, F, Solini, A
Nutrients. 2021;(2)
Abstract
Nutritional science is gaining increasing attention due to the implicit potential to prevent cardio-metabolic diseases. It is also becoming clear that food-making process might influence the metabolic response to the meal. We have conducted a proof-of-concept study to investigate whether slowly processed pasta might positively impact glucose homeostasis. A total of 14 healthy male volunteers underwent two different mixed-meal tests in a randomized order. One meal was composed of 100 g of normally processed pasta and the other 100 g of slowly processed pasta. Each meal was completed with 10 g of olive oil and 10 g of parmesan cheese. Glucose, insulin, and incretin post-prandial responses were assessed at 15, 30, 60, 90, 120, 150, and 180 min. Glucose tolerance, insulin, and incretin response were unaffected by the two different pasta types. However, a slight difference was evident in the shape of the curve of post-prandial insulin (i.e., mildly delayed with the slowly processed pasta). Despite the common belief of a different impact of normally processed and slowly processed pasta on glucose metabolism, they show a superimposable post-prandial metabolic response after a single meal in male healthy individuals. Further studies are required to confirm these results also in chronic, real-life settings and then to translate them to metabolically impaired individuals.
-
8.
Postprandial concentration of circulating branched chain amino acids are able to predict the carbohydrate content of the ingested mixed meal.
Hagve, M, Simbo, SY, Ruebush, LE, Engelen, MPKJ, Gutierrez-Osuna, R, Mortazavi, BJ, Cote, GL, Deutz, NEP
Clinical nutrition (Edinburgh, Scotland). 2021;(8):5020-5029
Abstract
BACKGROUND The amount of the macronutrients protein and carbohydrate (CHO) in a mixed meal is known to affect each other's digestion, absorption, and subsequent metabolism. While the effect of the amount of dietary protein and fat on the glycemic response is well studied, the ability of postprandial plasma amino acid patterns to predict the meal composition is unknown. OBJECTIVE To study the postprandial plasma amino acid patterns in relation to the protein, CHO, and fat content of different mixed meals and to investigate if these patterns can predict the macronutrient meal composition. DESIGN Ten older adults were given 9 meals with 3 different levels (low, medium, and high) of protein, CHO, and fat in different combinations, taking the medium content as that of a standardized western meal. We monitored the postprandial plasma response for amino acids, glucose, insulin, and triglycerides for 8 h and the areas under the curve (AUC) were subsequently calculated. Multiple regression analysis was performed to determine if amino acid patterns could predict the meal composition. RESULTS Increasing meal CHO content reduced the postprandial plasma response of several amino acids including all branched chain amino acids (BCAA) (leucine; q < 0.0001, isoleucine; q = 0.0035, valine; q = 0.0022). The plasma BCAA patterns after the meal significantly predicted the meal's CHO content (leucine; p < 0.0001, isoleucine; p = 0.0003, valine; p = 0.0008) along with aspartate (p < 0.0001), tyrosine (p < 0.0001), methionine (p = 0.0159) and phenylalanine (p = 0.0332). Plasma citrulline predicted best the fat content of the meal (p = 0.0024). CONCLUSIONS The postprandial plasma BCAA patterns are lower with increasing meal CHO content and are strong predictors of a mixed meal protein and CHO composition, as are plasma citrulline for the fat content. We hypothesize that postprandial plasma amino acid concentrations can be used to predict the meal's macronutrient composition.
-
9.
Causal effects of relative fat, protein, and carbohydrate intake on chronic kidney disease: a Mendelian randomization study.
Park, S, Lee, S, Kim, Y, Lee, Y, Kang, MW, Kim, K, Kim, YC, Han, SS, Lee, H, Lee, JP, et al
The American journal of clinical nutrition. 2021;(4):1023-1031
-
-
Free full text
-
Abstract
BACKGROUND The effects of specific macronutrients on kidney function independent of total calorie intake have rarely been studied, although the composition of macronutrient intake has been reported to affect health outcomes. OBJECTIVES We aimed to investigate the effects of macronutrient intake ratios on the risk of chronic kidney disease (CKD) by Mendelian randomization (MR) analysis. METHODS The study was an observational cohort study mainly based on the UK Biobank and including MR analysis. First, we evaluated the relative baseline macronutrient composition-that is, the number of calories from each macronutrient divided by total calorie intake-of the diets of UK Biobank participants, and we used Cox regression to assess the incidence of end-stage kidney disease (ESKD) in 65,164 participants with normal kidney function [estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2]. We implemented a genetic instrument for relative fat, protein, and carbohydrate intake developed by a previous genome-wide association study (GWAS) and performed MR analysis. Two-sample MR was performed with the summary statistics from independent CKDGen GWAS for kidney function traits (n = 567,460), including CKD (eGFR <60 mL/min/1.73 m2) and log-transformed eGFR. RESULTS The median relative macronutrient intake composition at baseline was 35% fats, 15% protein, and 50% carbohydrates. Higher relative protein intake in subjects with normal kidney function was significantly associated with a lower risk of incident ESKD (HR: 0.54; 95% CI: 0.30, 0.95) in the observational investigation. Two-sample MR indicated that increased relative fat intake causally increased the risk of kidney function impairment [CKD (OR: 1.94; 95% CI: 1.39, 2.71); log eGFR (β: -0.036; 95% CI: -0.048, -0.024)] and that higher relative protein intake was causally linked to a lower CKD risk [CKD (OR: 0.50; 95% CI: 0.35, 0.72); log eGFR (β: 0.044; 95% CI: 0.030, 0.058)]. CONCLUSIONS A desirable macronutrient composition, including high relative protein intake and low relative fat intake, may causally reduce the risk of CKD in the general population.
-
10.
Protein and carbohydrate distribution among the meals: effect on metabolic parameters of patients with type 2 diabetes: a single-blinded randomised controlled trial.
Nouripour, F, Mazloom, Z, Fararouei, M, Zamani, A
The British journal of nutrition. 2021;(9):1007-1016
Abstract
Studies have revealed that the timing of macronutrient ingestion may influence body weight and glucose tolerance. We aimed to examine the effect of high protein v. high carbohydrate intake at the evening meal on metabolic parameters of patients with type 2 diabetes. This is a single-blinded, parallel, randomised controlled trial. Ninety-six patients with type 2 diabetes, aged 32-65 years with a mean BMI of 28·5 (sd 3·4) kg/m2, were randomly assigned into one of these three groups: standard evening meal (ST), high-carbohydrate evening meal (HC) and high-protein evening meal (HP). Then, the patients were followed for 10 weeks. HbA1c, fasting blood glucose, fasting insulin, insulin resistance, TAG, LDL-cholesterol, VLDL-cholesterol, diastolic blood pressure, body weight, body fat percentage and waist circumference decreased significantly in all three groups (P < 0·05). HbA1c showed more improvement in the ST compared with the HP group (-0·45 (sd 0·36) v. -0·26 (sd 0·36)). Reductions in BMI and body weight were significantly higher in the ST compared with the HP group (P < 0·05). Reductions in total cholesterol, non-HDL-cholesterol and systolic blood pressure were significant in all groups, except for the HP group. Non-HDL-cholesterol:HDL-cholesterol remained unchanged in all groups. The results of the present study revealed that even distribution of carbohydrates and protein among meals compared with reducing carbohydrates and increasing protein at dinner may have a more beneficial effect on glycaemic control of patients with type 2 diabetes.