Prevalence and Characteristics of Computer Vision Syndrome Among Nursing Students in Online Learning Environments: A Cross-Sectional Study

The increased use of digital devices in online learning poses health risks, one of which is Computer Vision Syndrome (CVS). Nursing students are among the vulnerable groups due to high visual load and long learning duration. This study aims to describe the symptoms of CVS in nursing students during online learning and evaluate the behaviour of using digital devices as a risk factor. The study used a quantitative descriptive design with a cross-sectional approach. A total of 399 nursing students from various universities in Indonesia participated through a total sampling technique. Data were collected online using a questionnaire based on the American Optometric Association guidelines, including demographic information, online learning behaviour, and CVS symptoms. The analysis was done descriptively with frequency distribution and percentage. The results showed that the majority of respondents experienced CVS symptoms in the mild to moderate category, such as headache (47.9% mild; 37.8% moderate), burning eyes (42% mild), and blurred vision (39.6% mild). Most students (62.9%) used smartphones and had been studying online for more than six months (94.9%). In conclusion, CVS is a common problem among nursing students in online learning. Educational and preventive interventions are needed to maintain students' visual health.

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Publication Details

Journal
Journal of Health Sciences
Published
2025-05-24
DOI
https://doi.org/10.33086/jhs.v18i02.7264
Citations
1
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
2.44
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article

Prevalence and Characteristics of Computer Vision Syndrome Among Nursing Students in Online Learning Environments: A Cross-Sectional Study

Januar Rizqi, Akbar Satria Fitriawan
1 citations
Journal of Health Sciences
Ergonomics and Musculoskeletal Disorders
2.44
article

Prevalence and Characteristics of Computer Vision Syndrome Among Nursing Students in Online Learning Environments: A Cross-Sectional Study

Januar Rizqi, Akbar Satria Fitriawan
article en
1 citations

Abstract

The increased use of digital devices in online learning poses health risks, one of which is Computer Vision Syndrome (CVS). Nursing students are among the vulnerable groups due to high visual load and long learning duration. This study aims to describe the symptoms of CVS in nursing students during online learning and evaluate the behaviour of using digital devices as a risk factor. The study used a quantitative descriptive design with a cross-sectional approach. A total of 399 nursing students from various universities in Indonesia participated through a total sampling technique. Data were collected online using a questionnaire based on the American Optometric Association guidelines, including demographic information, online learning behaviour, and CVS symptoms. The analysis was done descriptively with frequency distribution and percentage. The results showed that the majority of respondents experienced CVS symptoms in the mild to moderate category, such as headache (47.9% mild; 37.8% moderate), burning eyes (42% mild), and blurred vision (39.6% mild). Most students (62.9%) used smartphones and had been studying online for more than six months (94.9%). In conclusion, CVS is a common problem among nursing students in online learning. Educational and preventive interventions are needed to maintain students' visual health.

Journal of Health SciencesVol. 18(02)
Universitas Respati Yogyakarta (ID)
Openalex Percentile: Top 11%
Ergonomics and Musculoskeletal Disorders
2.44
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Prevalence and Characteristics of Computer Vision Syndrome Among Nursing Students in Online Learning Environments: A Cross-Sectional Study — Januar Rizqi, Akbar Satria Fitriawan · Journal of Health Sciences (2025) | TGRS Research Map | TGRS