Literature DB >> 31303526

Glycaemic response at night is improved after eating a high protein meal compared with a standard meal: A cross-over study.

Rochelle Davis1, Maxine P Bonham2, Kay Nguo3, Catherine E Huggins4.   

Abstract

BACKGROUND & AIMS: Eating at night, compared to day-time, results in a relative hyperglycaemia contributing to an increased risk of Type 2 diabetes for those who habitually eat at night, such as shift workers. Meal choice at night can adversely impact postprandial glycaemia. Meals high in protein have the capacity to favourably reduce night time perturbations in glucose. The aim of this study was to examine if a high protein meal attenuates postprandial glucose at night, compared with a standard protein meal.
METHODS: In a 2 × 2 factor cross over design, healthy adults completed four acute meal challenges. Test meals were consumed at 8am and 8pm on separate occasions; a high protein (HP) meal (41% of energy from protein, 29% from carbohydrates) or isocaloric standard meal (15% from protein, 46% from carbohydrate). Bloods were sampled at fasting and for three hours postprandially and incremental area under the curve (iAUC) determined using the trapezoid rule. Freidman's test was conducted prior to post hoc Wilcoxon sign test, and significance set at p < 0.0083 after Bonferroni correction.
RESULTS: Plasma glucose median (IQR) iAUC after the HP meal was similar to the standard meal when consumed in the morning (12.9 (19.9) vs. 36.4 (99.6)mmol/L.3 h, p = 0.028). The HP meal elicited a significantly lower glucose iAUC (59.6 (117.0)mmol/L.3 h) compared to the standard meal (208.8 (154.1)mmol/L.3 h) when consumed at night (p = 0.005). No significant differences in insulin responses were found between test meals, at either time of day (p = 0.100).
CONCLUSION: A HP meal is effective in attenuating the postprandial glucose excursion observed with night eating by 71.4%, compared to a meal with a macronutrient composition within dietary guidelines. If eating at night, reducing the carbohydrate content of a meal, and replacing this with protein, can result in a more favourable postprandial metabolic response. TRIAL REGISTRATION: Trial ID number: ACTRN12617000294358, Website of trial registry: http://www.anzctr.org.au/.
Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Diurnal; Glucose tolerance; High protein; Insulin; Meal timing; Postprandial

Year:  2019        PMID: 31303526     DOI: 10.1016/j.clnu.2019.06.014

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  4 in total

Review 1.  Chronotype and Sleep Quality in Obesity: How Do They Change After Menopause?

Authors:  Ludovica Verde; Luigi Barrea; Claudia Vetrani; Evelyn Frias-Toral; Sebastián Pablo Chapela; Ranil Jayawardena; Giulia de Alteriis; Annamaria Docimo; Silvia Savastano; Annamaria Colao; Giovanna Muscogiuri
Journal:  Curr Obes Rep       Date:  2022-09-02

Review 2.  Circadian clock, diurnal glucose metabolic rhythm, and dawn phenomenon.

Authors:  Fei Peng; Xin Li; Fang Xiao; Ruxing Zhao; Zheng Sun
Journal:  Trends Neurosci       Date:  2022-04-21       Impact factor: 16.978

3.  Shift workers' perceptions and experiences of adhering to a nutrition intervention at night whilst working: a qualitative study.

Authors:  Catherine E Huggins; Jessica Jong; Gloria K W Leung; Sophie Page; Rochelle Davis; Maxine P Bonham
Journal:  Sci Rep       Date:  2022-09-15       Impact factor: 4.996

4.  Association between risk of type 2 diabetes and changes in energy intake at breakfast and dinner over 14 years: a latent class trajectory analysis from the China health and nutrition Survey, 1997-2011.

Authors:  Xiyun Ren; Jian Gao; Tianshu Han; Changhao Sun
Journal:  BMJ Open       Date:  2021-07-15       Impact factor: 2.692

  4 in total

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