The effects of fasting compared to eating a meal or snack during simulated night shift on changes in metabolism associated with circadian misalignment: a protocol and methods paper

Author:

Yates Crystal L1,Centofanti Stephanie1,Heilbronn Leonie23,Kennaway David2ORCID,Coates Alison M4,Dorrian Jillian1,Wittert Gary23,Gupta Charlotte C5,Stepien Jacqueline M1,Catcheside Peter6ORCID,Banks Siobhan1ORCID

Affiliation:

1. Behaviour-Brain-Body Research Centre, University of South Australia , Magill, SA 5072 , Australia

2. Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide , Adelaide, SA 5000 , Australia

3. Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI) , Adelaide, SA 5000 , Australia

4. Alliance for Research in Exercise, Nutrition and Activity, University of South Australia , Adelaide, SA 5000 , Australia

5. Appleton Institute, Central Queensland University , Wayville, SA 5034 , Australia

6. Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Bedford Park, SA 5042 , Australia

Abstract

Abstract Study Objectives This protocol paper outlines the methods that will be used to examine the impact of altering meal timing on metabolism, cognitive performance, and mood during the simulated night shift. Methods Participants (male and female) will be recruited according to an a priori selected sample size to complete a 7-day within and between participant’s laboratory protocol. Participants will be randomly assigned to one of the three conditions: meal at night or snack at night or no meal at night. This protocol includes an 8-hour nighttime baseline sleep, followed by 4 consecutive nights of simulated nightshift (7 hours day sleep; 10:00–17:00 hours), and an 8-hour nighttime sleep (return to dayshift). During the simulated night shift, meals will be provided at ~06:30, 09:30, 14:10, and 19:00 hours (no eating at night); ~06:30, 19:00, and 00:30 hours (meal at night); or ~06:30, 14:10, 19:00, and 00:30 hours (snack at night). Meal composition will be strictly controlled throughout the study (45%–65% carbohydrates, 15%–25% protein, and 20%–35% fat per day) with daily energy provided to meet individual needs using the Harris-Benedict equation (light/sedentary activity). The primary outcome measures are serum concentrations of blood glucose, insulin, and free fatty acids area under the curve in response to the oral glucose tolerance test. Mixed-effect ANOVAs will be conducted. Conclusions This protocol paper describes a methodology to describe an innovative approach to reduce the metabolic disease impact associated with shift work.

Funder

NHMRC

Publisher

Oxford University Press (OUP)

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