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.

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.

Changes in higher order cognitive function between four watch keeping schedules.

Maritime industries utilize many different watch keeping schedules to maintain vigilance and crew safety around the clock. These schedules can be fatiguing, negatively impacting vigilant attention. This has led to the consideration of schedules that might allow for more sleep time, but how these schedules impact higher order cognitive function remains unclear. These schedules require assessment with tasks that are relevant to real-world operations on maritime vessels. This study investigated the effect of four schedules on higher order cognitive function. N = 27 (16 female) participants were recruited to a 10-day laboratory study, comparing four schedules. The schedules investigated were eight-on/eight-off/four-on/four-off (8/8/4/4) with sleep from 09:30 to 16:00 (condition A); six-on/six-off (6/6) with sleep from 08:30 to 12:30 and 21:30 to 00:00 (condition B); four-on/four-off (4/4/4/4/4/4) with sleep from 18:00 to 00:30 (condition C); and four-on/four-off (4/4/4/4/4/4) with sleep from 01:30 to 08:00 (condition D). Higher order cognitive function was assessed 2-3× daily whilst "on watch" using tests of visual scanning, learning, working memory, mental flexibility, and visuomotor control. Conditions were ranked and stability of performance on watch was compared between conditions using Kruskal-Wallis tests. Cognitive function within condition B was ranked the worst for most of the tasks. However, the stability of higher order cognitive function was poorest across the waking day within condition A. These findings highlight the variability in cognitive capacities during different watch keeping schedules.

Cortisol and shiftwork: A scoping review.

The aim of this review was to explore the extent and nature of evidence exploring shiftwork and disruptions to cortisol. A systematic search was conducted across five databases: Medline, EMBASE, Psych INFO, Joanna Briggs Institute and PubMed between July-August 2020. Cortisol data were characterised into three main outcomes, 1) cortisol levels, 2) cortisol rhythm, and 3) cortisol awakening response (CAR) during shiftwork. Main findings demonstrate that shiftwork, especially night shift, significantly disrupts production of cortisol, the cortisol rhythm and CAR and, irregular shift schedules produce greater disruptions to cortisol than regular shift schedules. It was difficult to draw conclusions about the impact of shiftwork on movement of the cortisol rhythm and adaptation or recovery of the cortisol rhythm to and from night shift as the literature lacks consistency in definition of methods and variables. The present state of literature demonstrates cortisol levels, cortisol rhythm and the CAR are all disrupted by shiftwork, but there is a lack of consistency between studies on use of variables and most of the literature focuses on acute disruption rather than chronic effects. It will be important for future studies to investigate possible mechanisms that link shiftwork, disruptions to cortisol and chronic health conditions prevalent in shiftworkers.

The effect of time on task, sleep deprivation, and time of day on simulated driving performance.

Sleep deprivation and time of day have been shown to play a critical role in decreasing ability to sustain attention, such as when driving long distances. However, a gap in the literature exists regarding external factors, such as workload. One way to examine workload is via modulating time on task. This study investigated the combined effect of sleep deprivation, time of day, and time on task as a workload factor on driving performance. Twenty-one participants (18-34 years, 10 females) underwent 62 h of sleep deprivation within a controlled laboratory environment. Participants received an 8-h baseline and 9.5-h recovery sleep. Every 8 h, participants completed a Psychomotor Vigilance Task (PVT), Karolinska Sleepiness Scale (KSS), 30-min monotonous driving task and NASA-Task Load Index (TLX). Driving variables examined were lane deviation, number of crashes, speed deviation and time outside the safe zone. Workload was measured by comparing two 15-min loops of the driving track. A mixed model ANOVA revealed significant main effects of day and time of day on all driving performance measures (p < .001). There was a significant main effect of workload on lane deviation (p < .05), indicating that a longer time on task resulted in greater lane deviation. A significant main effect of day (p < .001) but not time of day for the NASA-TLX, PVT and KSS was found. Time on task has a significant further impact on driving performance and should be considered alongside sleep deprivation and time of day when implementing strategies for long-distance driving.

Study protocol for the Shifting Weight using Intermittent Fasting in night shift workers (SWIFt) study: a three-arm randomised controlled trial comparing three weight loss strategies in night shift workers with obesity.

INTRODUCTION: Shift workers are at an increased risk of developing obesity and type 2 diabetes. Eating and sleeping out of synchronisation with endogenous circadian rhythms causes weight gain, hyperglycaemia and insulin resistance. Interventions that promote weight loss and reduce the metabolic consequences of eating at night are needed for night shift workers. The aim of this study is to examine the effects of three weight loss strategies on weight loss and insulin resistance (HOMA-IR) in night shift workers. METHODS AND ANALYSIS: A multisite 18-month, three-arm randomised controlled trial comparing three weight loss strategies; continuous energy restriction; and two intermittent fasting strategies whereby participants will fast for 2 days per week (5:2); either during the day (5:2D) or during the night shift (5:2N). Participants will be randomised to a weight loss strategy for 24 weeks (weight loss phase) and followed up 12 months later (maintenance phase). The primary outcomes are weight loss and a change in HOMA-IR. Secondary outcomes include changes in glucose, insulin, blood lipids, body composition, waist circumference, physical activity and quality of life. Assessments will be conducted at baseline, 24 weeks (primary endpoint) and 18 months (12-month follow-up). The intervention will be delivered by research dietitians via a combination of face-to-face and telehealth consultations. Mixed-effect models will be used to identify changes in dependent outcomes (weight and HOMA-IR) with predictor variables of outcomes of group, time and group-time interaction, following an intention-to-treat approach. ETHICS AND DISSEMINATION: The study protocol was approved by Monash Health Human Research Ethics Committee (RES 19-0000-462A) and registered with Monash University Human Research Ethics Committee. Ethical approval has also been obtained from the University of South Australia (HREC ID: 202379) and Ambulance Victoria Research Committee (R19-037). Results from this trial will be disseminated via conference presentations, peer-reviewed journals and student theses. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN-12619001035112).

Time-restricted eating improves glycemic control and dampens energy-consuming pathways in human adipose tissue.

OBJECTIVE: We sought to examine the effects of 8 wk of time-restricted eating (TRE) on glucose metabolism and the adipose tissue transcriptome during a metabolic ward stay in men with obesity. METHODS: In a single-arm, pre-post trial, 15 men (ages 63 ± 4 y, body mass index = 30.5 ± 2.4 kg/m2, waist circumference = 113 ± 4 cm) with obesity but no history of diabetes were enrolled and underwent 2 wk of baseline monitoring before they were instructed to eat their regular diets within a contiguous 10-h time frame each day for 8 wk. Metabolic testing was performed at baseline and week 8 during a 35-h metabolic ward stay, during which all food intake was strictly timed and controlled. Identical meal-tolerance tests were performed at breakfast and dinner. Blood glucose, glucoregulatory hormones, and subjective appetite score were measured. Subcutaneous adipose tissue biopsies were performed and the transcriptome was assessed. RESULTS: The primary outcome, plasma glucose area under the curve, was altered by TRE, being unchanged at breakfast but increased at dinner. However, TRE reduced fasting glucose, glycated hemoglobin, body weight, and body fat, and increased glucose-dependent insulinotropic peptide area under the curve at dinner. In subcutaneous adipose tissue, 117 genes were up-regulated and 202 genes down-regulated by TRE. Pathway analysis revealed down-regulation of genes involved in proteasome function and mitochondrial regulation. CONCLUSIONS: TRE had a net effect of reducing glycemia and dampening energy-consuming pathways in adipose tissue.

Deployment of Alternative Response Units in a High-Volume, Urban EMS System.

Faced with increasing demand for their services, Emergency Medical Services (EMS) agencies must find more efficient ways to use their limited resources. This includes moving beyond the traditional response and transport model. Alternative Response Units (ARUs) are one way to meet the prehospital medical needs of some members of the public while reducing ambulance transports. They are non-transport vehicles tasked with very specific medical missions. These can include acute management of low-acuity complaints, ongoing home care for chronic medical conditions, preventive medicine, and post-hospital discharge follow-up visits. Their focus can be tailored to the individual needs of the agency. The Philadelphia Fire Department (PFD) operates one of the busiest EMS systems in the country. It has added additional staff and ambulances in recent years yet continues to face an increasing call volume. In an effort to reduce ambulance transports, the PFD recently introduced two ARUs. The first unit, AR-1, is deployed on a university campus and responds to students with low acuity medical complaints or mild alcohol intoxication. It provides many of these a courtesy ride to one of two university emergency departments for further evaluation, eliminating the need for ambulance transport. The second unit, AR-2, works in an area heavily impacted by the opioid crisis. It responds to individuals who have overdosed, been revived with naloxone, and refuse ambulance transport but are interested in long-term treatment for their opioid use disorder. The staff of AR-2 has successfully placed some of these individuals in treatment programs the same day. The AR-1 program is financially supported by the university while AR-2 is funded by the PFD and a federal grant. Both have the potential to decrease ambulance transports or reduce 9-1-1 calls. Whether these or other ARU programs can be financially sustained long-term is unclear. It is also unknown if ARUs represent a better investment than using the money to purchase additional transport vehicles. However, as health care evolves, EMS must innovate and adapt so it can continue to meet the prehospital needs of the public in a timely and cost-effective manner.