Rise and shine: Natural light lessens morning fatigue
Light conditions in the morning before waking up affect restfulness
- Date:
- April 14, 2025
- Source:
- Osaka Metropolitan University
- Summary:
- Researchers tested whether introducing light into the bedroom before waking would improve morning wakefulness and found an amount of time that seems to help fight off fatigue and raise alertness most.
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Sleep is a necessary part of people's daily routine, but modern lifestyles and technology have ushered in an era of decreased rest time and subsequent fatigue. Further, the bedroom environment, such as light, sound, and temperature, is important for a good night's sleep, though this is often neglected in residential architecture.
In search of a conclusive remedy, common sleep studies use artificial light that is easy to control. Osaka Metropolitan University researchers, however, believe natural light could be more effective for re-creating actual living environments.
To test this, Graduate School of Human Life and Ecology student Xiaorui Wang and Professor Daisuke Matsushita led a team in examining whether introducing moderate light into the bedroom just before waking would improve morning wakefulness. Using light-shielding curtains and motorized closing devices, a comparative experiment was conducted on 19 participants under three conditions: natural light for 20 minutes before waking up (IA), natural light from dawn until waking up (IB), and no natural light before waking up (CC). After each session, participants' sleepiness, alertness, and fatigue were measured with an electrocardiogram, electroencephalogram, and a survey.
Results revealed that participants were less sleepy in IA and IB conditions than in CC. In addition, IA was found to be one of the most effective methods for improving wakefulness, as too much light in IB caused adverse effects.
"In the future, we hope to control natural light in the sleep environment as it changes with the seasons and time of day, and to clarify how to introduce natural light that is suitable for a more comfortable awakening," stated Professor Matsushita.
The findings were published in Building and Environment.
Story Source:
Materials provided by Osaka Metropolitan University. Note: Content may be edited for style and length.
Journal Reference:
- Xiaorui Wang, Jihui Yuan, Yangcheng Gu, Daisuke Matsushita. Explaining housing rents: A neural network approach to landscape image perceptions. Habitat International, 2025; 155: 103250 DOI: 10.1016/j.habitatint.2024.103250
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