Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Article Information

Title: Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Authors: Saadia Maqbool, Iram Manzoor, Muhammad Usama Amjad, Muhammad Saad Ali, Muhammad Rehan Ramzan, Muhammad Nouman Tariq

Journal: Pakistan Journal of Public Health (PJPH)

HEC Recognition History

Category	From	To
Y	2024-10-01	2025-12-31
Y	2023-07-01	2024-09-30
Y	2022-07-01	2023-06-30
Y	2021-07-01	2022-06-30
Y	2020-07-01	2021-06-30

Publisher: Health Services Academy (HSA), Islamabad

Country: Pakistan

Year: 2024

Volume: 14

Issue: 1

Language: English

DOI: 10.32413/pjph.v14i1.1306

Keywords: studentscomputer vision syndromevideo display terminal devicesEye stain

Abstract

Background: This study aimed to determine the prevalence of computer vision syndrome (CVS) and its associated factors among undergraduate college students.
Methodology: An analytical cross-sectional study was conducted from April 2022 to October 2022 using a web-based survey. A sample of 415 undergraduate college students was included through convenience sampling. Data collection utilized a self-structured questionnaire for socio-demographic information and a validated questionnaire (CVS-Q). Data entry and analysis were performed using SPSS version 23. Chi-square test and logistic regression were employed to identify associations and predictors, respectively, with statistical significance set at p ≤ 0.05.
Results: The mean age of the participants was 21.3 ± 2.8 years. Among 415 participants, the prevalence of CVS was 60.9%, with headache being the most commonly reported symptom (73.2%). Female gender (p &lt; 0.001), presence of refractive error (p &lt; 0.001), use of video display terminal (VDT) devices (p = 0.007), daily average screen time (p = 0.006), and lighting conditions while using VDT devices (p = 0.05) were significantly associated with CVS.
Conclusion: A high frequency of computer vision syndrome was observed among undergraduate college students. Female gender, refractive error, type of VDT used, average screen time, and lighting conditions during VDT device use were significantly associated with CVS.

Disclaimer: The following sections are produced through an intensive multi-stage analytical pipeline developed by DefinePK, utilizing advanced natural-language processing, domain-specific knowledge models, and automated cross-referencing systems. Despite the rigor and computational effort involved, the generated summary may still contain inaccuracies or incomplete interpretations. Users are strongly advised to verify all critical information against the original paper and its authoritative sources.

Research Objective

To determine the prevalence of computer vision syndrome (CVS) and its associated factors among undergraduate college students.

Methodology

An analytical cross-sectional study was conducted from April 2022 to October 2022 using a web-based survey. A sample of 415 undergraduate college students was recruited through convenience sampling. Data was collected using a self-structured questionnaire for socio-demographic information and a validated questionnaire (CVS-Q). Data analysis was performed using SPSS version 23, employing Chi-square test and logistic regression.

Methodology Flowchart

                        graph TD
    A["Obtain IRB Approval"] --> B["Conduct Web-based Survey April-October 2022"];
    B --> C["Collect Data using Questionnaires"];
    C --> D["Clean and Enter Data in SPSS v23"];
    D --> E["Perform Chi-square Test and Logistic Regression"];
    E --> F["Analyze Results and Draw Conclusions"];

Discussion

The high prevalence of CVS among college students highlights it as a significant public health concern. Factors such as gender, refractive errors, device usage patterns, screen time, and environmental lighting play a crucial role in the development of CVS. Awareness campaigns and ergonomic practices are recommended for prevention and early management.

Key Findings

The prevalence of CVS among undergraduate college students was 60.9%. Headache was the most commonly reported symptom (73.2%). Significant associations with CVS were found for female gender, presence of refractive error, use of video display terminal (VDT) devices, daily average screen time, and lighting conditions while using VDT devices.

Conclusion

Computer vision syndrome is highly prevalent among undergraduate college students. Female gender, refractive errors, type of VDT device used, prolonged screen time, and poor lighting conditions are significant predictors of CVS. Early diagnosis, correction of refractive errors, and adoption of preventive measures are essential for mitigating the burden of CVS.

Fact Check

* The study was conducted from April 2022 to October 2022. (Confirmed by Methodology section)
* The prevalence of Computer Vision Syndrome (CVS) was 60.9% among the 415 participants. (Confirmed by Results section)
* Headache was the most commonly reported symptom, with 73.2% of participants reporting it. (Confirmed by Results section)

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