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. 2021 Feb 26;13(2):e13575.
doi: 10.7759/cureus.13575.

Digital Eye Strain and Its Risk Factors Among a University Student Population in Jordan: A Cross-Sectional Study

Yazan Gammoh  1
Affiliations

Digital Eye Strain and Its Risk Factors Among a University Student Population in Jordan: A Cross-Sectional Study

Yazan Gammoh. Cureus. .

Abstract

Background: Several ocular and visual symptoms resulting from use of digital devices are collectively known as digital eye strain (DES) or computer vision syndrome (CVS). Few studies exist on the prevalence of DES among young adults in the Eastern Mediterranean region.

Objectives: This study aimed to investigate the prevalence and severity of digital eye strain among a university student population in Jordan. Methods: A cross-sectional study was conducted with students enrolled at Al-Ahliyya Amman University in Jordan. DES was evaluated using the Computer Vision Syndrome Questionnaire (CVS-Q), which was filled out by students who were approached at random and signed an informed consent to participate in the study. Information related to the type, intensity of usage, settings of digital device (DD) used, and post-device use student-reported physical complaints were recorded.

Results: Data from 382 students were analyzed. Prevalence of CVS was 94.5%, with tearing being the most prevalent symptom (59%), while double vision was least reported by students (18.3%). DD use for more than six hours per day was reported by 55.5% of the sample size, and 30.7% of the students reported pain in joints of fingers and wrists after using a mobile phone.

Conclusion: CVS is highly prevalent among university students in Jordan. With the increased dependence on online education due to coronavirus disease, safe habits in digital device use are recommended.

Keywords: computer vision syndrome; digital devices; young adults.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Types of digital devices used by university students (n=382).
Figure 2
Figure 2. Upper body musculoskeletal complaints by university students after using smart phone for prolonged hours (percentage, n=382).
Figure 3
Figure 3. Occurrence of Computer Vision Syndrome symptoms in university students (n=382).
See this image and copyright information in PMC

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