The Relationship of Long-Time Exposure to Blue Light Obtained from Laptop on the Sleep Quality of Students of the Faculty of Medicine, Indonesian Christian University

Sitompul, Yunita R.M.B and Newton, Marjasa Dharmawan Dicky (2024) The Relationship of Long-Time Exposure to Blue Light Obtained from Laptop on the Sleep Quality of Students of the Faculty of Medicine, Indonesian Christian University. Galore International Journal of Health Sciences and Research, 9 (3). pp. 89-98. ISSN 2456-9321

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Abstract

Blue light has an important role in life, physiological functions, and visual processes, including color perception. Blue light is found in nature as natural light and also artificial (non-natural) light. The development of computer-based communication tools increases the possibility of seeing a screen that emits light for a long time. Today's screens on communication devices mostly use LED (Light Emitting Diode) technology; we can see this on smartphones, computer monitors, and TVs. Exposure to blue light at night will result in a reduction in the hormone that regulates circadian rhythm, resulting in decreased sleep quality. Prolonged exposure will cause visual fatigue and severe near sightedness. Symptoms that arise due to long exposure such as diplopia and inability to concentrate affect the learning process and work efficiency. Direct exposure can cause damage to the cornea, lens, and retina. because blue light increases the production of reactive oxidative species (ROS). Some experimental evidence shows that blue light exposure affects physiological functions and is useful for improving circadian rhythm and sleep quality. However, blue light can also cause photoreceptor damage. Therefore it is necessary to minimize the detrimental consequences of blue light exposure. This study aims to determine the relationship between long exposure to blue light from a laptop and sleep quality. The study method was cross-sectional; the respondents comprised the entire Faculty of Medicine, Indonesian Christian University student population. Data were collected using a Google Form questionnaire. Univariate analysis will provide an overview of demographics, sleep quality, and duration of exposure to blue light from the respondents' laptop use. Bivariate analysis for the relationship between long exposure to blue light from laptop use and sleep quality of respondents, using a chi-square test and measuring the relationship with Odd Ratio (OR). Keywords: laptop, blue light, sleep

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