RecruitingACTRN12623000690651

The impact of light intensity during night shifts on circadian adaptation, daytime sleep, and night-time alertness in healthy adults.


Sponsor

CQUniversity

Enrollment

60 participants

Start Date

May 18, 2022

Study Type

Interventional

Conditions

Summary

The current evidence suggests that the optimal length of a sequence of night shifts may depend on the intensity of light that shiftworkers are exposed to during the night. If so, then OHS guidelines that recommend a blanket limit on night shifts of a maximum of 2-4 in a row may inadvertently expose shiftworkers to a higher level of fatigue-related risk than is necessary in some workplaces. In this project, we will test the proposition that shorter sequences of night shifts may be suited to workplaces where shiftworkers operate in dim light and are less likely to adapt to a nocturnal schedule, whereas longer sequences of night shift may be suited to workplaces where shiftworkers operate in normal indoor light and may be more likely to adapt to a nocturnal schedule. The project will include a multiple-day night work simulation study with three conditions. The only difference between conditions will be in the light intensity during night shifts – dim (10 lux), moderate (100 lux), and normal (350 lux) – as experienced by truck drivers, hospital-based healthcare practitioners, and control room operators, respectively. The data will be used to test three hypotheses: 1. Body clock time will get progressively later, i.e., delay, with each successive night shift, and the daily rate of delay will be smallest (or absent) in the dim light condition and greatest in the normal light condition. 2. The quantity/quality of daytime sleep will progressively increase with each successive night shift, and the daily increases will be smallest (or absent) in the dim light condition and greatest in the normal light condition. 3. Night-time alertness will decline with each successive night shift in the dim light condition, remain stable in the moderate light condition, and increase with each successive night shift in the normal light condition.


Eligibility

Sex: Both males and femalesMin Age: 18 YearssMax Age: 35 Yearss

Plain Language Summary

Simplified for easier understanding

Night shift workers often struggle with fatigue, poor sleep during the day, and difficulty staying alert overnight — all of which can have safety implications. One important factor is light exposure during the night shift. This study is investigating how different levels of light brightness at work affect the body clock (circadian rhythm), daytime sleep quality, and night-time alertness across a sequence of night shifts. Participants will take part in a simulated multi-day night shift study under three different lighting conditions — dim, moderate, and normal indoor light — to mirror what workers like truck drivers, healthcare workers, and control room operators might experience. The researchers want to find out whether brighter light during night shifts helps the body adapt faster (making longer shift sequences safer), or whether dim light means the body never adapts (making shorter sequences better). You may be eligible if you are aged 18–35, have a regular sleep schedule, do not currently work shifts, do not have a sleep disorder, and do not take sleep medications or supplements. People who smoke, have recently travelled across time zones, or use illicit drugs are not eligible.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

The study will be conducted at the Sleep and Circadian Rhythms Laboratory at the Appleton Institute. This study will employ a between-groups design with three conditions. Each condition will include

The study will be conducted at the Sleep and Circadian Rhythms Laboratory at the Appleton Institute. This study will employ a between-groups design with three conditions. Each condition will include a simulated shiftwork protocol with 14 x 12-h night shifts (18:00-6:00) and an 8-h sleep opportunity each day (08:00-16:00). The light conditions during night shifts are: Dim Light (10 lux); Moderate Light (100 lux), or Normal Light (350 lux). The light conditions will be delivered using automated, broad-spectrum, ceiling-mounted LEDs (i.e., warm light). With the exception of light intensity during night shifts, the 16-day protocol will be the same for all three conditions: • Night 1. Participants will have an 8-h sleep to adapt to sleeping in the accommodation suite. • Day 1. Participants will be trained on all test battery tasks to minimise learning effects. • Night 2. Participants will have an 8-h sleep to establish baseline sleep parameters. • Day 2. Participants will have a 1-h sleep in the afternoon to assist the transition to night shifts. • Nights 3–16. Participants will work 14 x 12-h night shifts. During night shifts, participants will complete a 30-min test battery every 2 h to assess cognitive function and self-perceived capacity. Driving will be assessed before and after night shifts with a 20-min ‘commute’ in a driving simulator. • Days 3–16. Participants will have an 8-h sleep during 12-h breaks between night shifts. • Participants’ compliance with the protocol was monitored by research staff either in person or via a closed-circuit television system. All sleep periods will be monitored using polysomnography (PSG). Prior to sleep, a montage of PSG electrodes will be attached to the head and face. PSG data will be assessed in 30-second epochs using standard scoring criteria. The 30-min test battery will include tasks such as the Addition/Subtraction Task, Digit Symbol Substitution Test, Probed Recall Memory Test, Psychomotor Vigilance Task, etc. Subjective capacity will be assessed using visual analogue scales (e.g., fatigue, sleepiness, mood, alertness, etc). Body clock time will be assessed using the timing of the daily minimum in core body temperature (CBTmin), sampled in 1-min epochs throughout the protocol using ingestible capsules. Body clock adaptation will be assessed by collecting urine samples during and after sleep periods and expressing the amount of 6-sulphatoxymelatonin excreted during each daytime sleep period as a percentage of the amount excreted during the night-time baseline sleep period. Over the week of night work, percentages that are closer to 100 will indicate a greater degree of adaptation in participants’ body clocks.


Locations(1)

SA, Australia

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