Computer Vision Syndrome (CVS) Among Hardware Store Workers in Glodok Retail Area (a Case Study)

DOI

10.2991/ahsr.k.201125.046How to use a DOI?

Keywords

Digital Eyestrain, Occupational Eye Disease, Visual Digital Terminal (VDT)

Abstract

Background: In this Digital Era, we need computer devices to simplify our tasks. Inevitably, intense work in front of monitors put our visual systems fully utilized. Vision and eye-related problems at computer display are determined as Computer Vision Syndrome (CVS). In a Retail Business setting, the workers use computers to impute sales, orders, procurement, and merchandise inventories with full visual effort, without proper knowledge of computer usage best practice. This study aimed to determine the symptoms and severity of CVS among workers in a hardware store. Methods: A cross-sectional study with a total of fifty workers as generated with a total sampling technique. The CVS prevalence and severity data were collected using an online self- reported standardized questionnaire and analyzed using the chi-square test. Results: The prevalence of CVS among workers was 56%. The most common CVS symptoms were itching 56%, and 18% was severe, followed by blurred vision 54% with 14% was severe, and headache 54% with 28% was severe. There were significant associations between the duration of computer use, the duration of smartphone use, wearing glasses, and the viewing distance to monitor with CVS, with each P-value were <0.0001. Conclusions: Workers with ≥4 hours working in front of a computer, ≥8 hours of smartphone use, who wear corrective eyeglasses, with viewing distance from a monitor <50 cm, were the most susceptible amongst all. Suggestions for CVS preventions are health promotion that focuses on visual ergonomics working conditions, specific protection for workers using anti-glare computer monitors, blue-light filter glasses, and improve the physical ergonomics of the computer workstation.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Muhammad Bilal Ibnu Maeda
AU  - Rizki Amalia
AU  - Azizah Musliha Fitri
AU  - Yuri Nurdiantami
PY  - 2020
DA  - 2020/11/25
TI  - Computer Vision Syndrome (CVS) Among Hardware Store Workers in Glodok Retail Area (a Case Study)
BT  - Proceedings of the International Conference of Health Development. Covid-19 and the Role of Healthcare Workers in the Industrial Era (ICHD 2020)
PB  - Atlantis Press
SP  - 262
EP  - 266
SN  - 2468-5739
UR  - https://doi.org/10.2991/ahsr.k.201125.046
DO  - 10.2991/ahsr.k.201125.046
ID  - Maeda2020
ER  -