Light exposure behaviors predict mood, memory and sleep quality

Abstract Ample research has shown that light influences our emotions, cognition, and sleep quality. However, little work has examined whether different light exposure-related behaviors, such as daytime exposure to electric light and nighttime usage of gadgets, especially before sleep, influence slee...

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Main Authors: Mushfiqul Anwar Siraji, Manuel Spitschan, Vineetha Kalavally, Shamsul Haque
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-39636-y
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author Mushfiqul Anwar Siraji
Manuel Spitschan
Vineetha Kalavally
Shamsul Haque
author_facet Mushfiqul Anwar Siraji
Manuel Spitschan
Vineetha Kalavally
Shamsul Haque
author_sort Mushfiqul Anwar Siraji
collection DOAJ
description Abstract Ample research has shown that light influences our emotions, cognition, and sleep quality. However, little work has examined whether different light exposure-related behaviors, such as daytime exposure to electric light and nighttime usage of gadgets, especially before sleep, influence sleep quality and cognition. Three-hundred-and-one Malaysian adults (MeanAge±SD = 28 ± 9) completed the Light Exposure Behavior Assessment tool that measured five light exposure behaviors. They also completed the Morningness-Eveningness Questionnaire, Positive and Negative Affect Schedule, Pittsburgh Sleep Quality Index, and single items assessing trouble in memory and concentration. A partial least square structural equation model, showing 72.72% predictive power, revealed that less use of wearable blue filters outdoors during the day and more within one hour before sleep predicted early peak time (direct effect = −0.25). Increased time spent outdoors predicted a positive affect (direct effect = 0.33) and a circadian phase advancement (direct effect: rising time = 0.14, peak time = 0.20, retiring time = 0.17). Increased use of mobile phone before sleep predicted a circadian phase delay (direct effect: retiring time = −0.25; rising time = −0.23; peak time = −0.22; morning affect = −0.12), reduced sleep quality (direct effect = 0.13), and increased trouble in memory and concentration (total effect = 0.20 and 0.23, respectively). Increased use of tunable, LED, or dawn-simulating electric light in the morning and daytime predicted a circadian phase advancement (direct effect: peak time = 0.15, morning affect = 0.14, retiring time = 0.15) and good sleep quality (direct effect = −0.16). The results provide valuable insights into developing a healthy light diet to promote health and wellness.
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spelling doaj.art-96c453e03b5a46d08f93ea9131074f7b2023-08-06T11:13:10ZengNature PortfolioScientific Reports2045-23222023-08-0113111410.1038/s41598-023-39636-yLight exposure behaviors predict mood, memory and sleep qualityMushfiqul Anwar Siraji0Manuel Spitschan1Vineetha Kalavally2Shamsul Haque3Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences and Intelligent Lighting Laboratory, Monash University MalaysiaMax Planck Institute for Biological Cybernetics, Translational Sensory & Circadian NeuroscienceDepartment of Electrical and Computer Systems Engineering and Intelligent Lighting Laboratory, Monash University MalaysiaDepartment of Psychology, Jeffrey Cheah School of Medicine and Health Sciences and Intelligent Lighting Laboratory, Monash University MalaysiaAbstract Ample research has shown that light influences our emotions, cognition, and sleep quality. However, little work has examined whether different light exposure-related behaviors, such as daytime exposure to electric light and nighttime usage of gadgets, especially before sleep, influence sleep quality and cognition. Three-hundred-and-one Malaysian adults (MeanAge±SD = 28 ± 9) completed the Light Exposure Behavior Assessment tool that measured five light exposure behaviors. They also completed the Morningness-Eveningness Questionnaire, Positive and Negative Affect Schedule, Pittsburgh Sleep Quality Index, and single items assessing trouble in memory and concentration. A partial least square structural equation model, showing 72.72% predictive power, revealed that less use of wearable blue filters outdoors during the day and more within one hour before sleep predicted early peak time (direct effect = −0.25). Increased time spent outdoors predicted a positive affect (direct effect = 0.33) and a circadian phase advancement (direct effect: rising time = 0.14, peak time = 0.20, retiring time = 0.17). Increased use of mobile phone before sleep predicted a circadian phase delay (direct effect: retiring time = −0.25; rising time = −0.23; peak time = −0.22; morning affect = −0.12), reduced sleep quality (direct effect = 0.13), and increased trouble in memory and concentration (total effect = 0.20 and 0.23, respectively). Increased use of tunable, LED, or dawn-simulating electric light in the morning and daytime predicted a circadian phase advancement (direct effect: peak time = 0.15, morning affect = 0.14, retiring time = 0.15) and good sleep quality (direct effect = −0.16). The results provide valuable insights into developing a healthy light diet to promote health and wellness.https://doi.org/10.1038/s41598-023-39636-y
spellingShingle Mushfiqul Anwar Siraji
Manuel Spitschan
Vineetha Kalavally
Shamsul Haque
Light exposure behaviors predict mood, memory and sleep quality
Scientific Reports
title Light exposure behaviors predict mood, memory and sleep quality
title_full Light exposure behaviors predict mood, memory and sleep quality
title_fullStr Light exposure behaviors predict mood, memory and sleep quality
title_full_unstemmed Light exposure behaviors predict mood, memory and sleep quality
title_short Light exposure behaviors predict mood, memory and sleep quality
title_sort light exposure behaviors predict mood memory and sleep quality
url https://doi.org/10.1038/s41598-023-39636-y
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