The Characteristics Of Computer Vision Syndrome Incidence In Medical Students  At Baiturrahmah University Batch Of 2023

Computer Vision Syndrome (CVS) is an eye disorder caused by excessive screen time, which has become increasingly unavoidable in the digital era, particularly among medical students. This study aimed to determine the characteristics of CVS incidence among medical students of Baiturrahmah University, batch of 2023. Employing a descriptive approach, the study included 73 students selected using a purposive sampling technique, with univariate data analysis conducted through the SPSS program. The results revealed that 51 respondents (69.9%) were female, with 59 respondents (80.8%) using more than two devices daily. All respondents (100%) reported daily monitor usage exceeding four hours, categorized as unsafe screen time, and 62 respondents (84.9%) maintained an unsafe viewing distance from their monitors. Despite these findings, the majority of respondents (95.9%) did not experience CVS symptoms based on CVS-Q scores. These results suggest that while prolonged screen time and unsafe device usage are prevalent, they do not necessarily correlate with CVS incidence in this population

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Publication Details

Journal
Oshada.
Published
2024-12-31
DOI
https://doi.org/10.62872/t4wdmf48
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

The Characteristics Of Computer Vision Syndrome Incidence In Medical Students  At Baiturrahmah University Batch Of 2023

Hondrizal Hondrizal, Naima Lassie, Nurwiyeni Nurwiyeni, Chandra Adilla et al.
Oshada.
Blockchain Technology in Education and Learning
article

The Characteristics Of Computer Vision Syndrome Incidence In Medical Students  At Baiturrahmah University Batch Of 2023

Hondrizal Hondrizal, Naima Lassie, Nurwiyeni Nurwiyeni, Chandra Adilla, Rampak Mawida, Raihana Rustam
article en

Abstract

Computer Vision Syndrome (CVS) is an eye disorder caused by excessive screen time, which has become increasingly unavoidable in the digital era, particularly among medical students. This study aimed to determine the characteristics of CVS incidence among medical students of Baiturrahmah University, batch of 2023. Employing a descriptive approach, the study included 73 students selected using a purposive sampling technique, with univariate data analysis conducted through the SPSS program. The results revealed that 51 respondents (69.9%) were female, with 59 respondents (80.8%) using more than two devices daily. All respondents (100%) reported daily monitor usage exceeding four hours, categorized as unsafe screen time, and 62 respondents (84.9%) maintained an unsafe viewing distance from their monitors. Despite these findings, the majority of respondents (95.9%) did not experience CVS symptoms based on CVS-Q scores. These results suggest that while prolonged screen time and unsafe device usage are prevalent, they do not necessarily correlate with CVS incidence in this population

Oshada.Vol. 1(6)
Openalex Percentile: Top 58%
Blockchain Technology in Education and Learning
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The Characteristics Of Computer Vision Syndrome Incidence In Medical Students  At Baiturrahmah University Batch Of 2023 — Hondrizal Hondrizal, Naima Lassie, et al. · Oshada. (2024) | TGRS Research Map | TGRS