BA, I., SM, H., SEM., G. (2024). PREVALENCE AND ERGONOMIC RISK FACTORS OF COMPUTER VISION SYNDROME AMONGST MEDICAL ACADEMIC STAFF: A CROSS-SECTIONAL STUDY. Egyptian Journal of Occupational Medicine, 48(3), 77-94. doi: 10.21608/ejom.2024.288136.1334
Ibrahim BA; Hussein SM; Gaafar SEM.. "PREVALENCE AND ERGONOMIC RISK FACTORS OF COMPUTER VISION SYNDROME AMONGST MEDICAL ACADEMIC STAFF: A CROSS-SECTIONAL STUDY". Egyptian Journal of Occupational Medicine, 48, 3, 2024, 77-94. doi: 10.21608/ejom.2024.288136.1334
BA, I., SM, H., SEM., G. (2024). 'PREVALENCE AND ERGONOMIC RISK FACTORS OF COMPUTER VISION SYNDROME AMONGST MEDICAL ACADEMIC STAFF: A CROSS-SECTIONAL STUDY', Egyptian Journal of Occupational Medicine, 48(3), pp. 77-94. doi: 10.21608/ejom.2024.288136.1334
BA, I., SM, H., SEM., G. PREVALENCE AND ERGONOMIC RISK FACTORS OF COMPUTER VISION SYNDROME AMONGST MEDICAL ACADEMIC STAFF: A CROSS-SECTIONAL STUDY. Egyptian Journal of Occupational Medicine, 2024; 48(3): 77-94. doi: 10.21608/ejom.2024.288136.1334
PREVALENCE AND ERGONOMIC RISK FACTORS OF COMPUTER VISION SYNDROME AMONGST MEDICAL ACADEMIC STAFF: A CROSS-SECTIONAL STUDY
Department of Public Health, Community Medicine, Environmental Medicine, and Occupational Medicine ,Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Abstract
Introduction: Computer vision syndrome (CVS) is a common condition among individuals who extensively use computers. Aim of Work: To determine the prevalence of CVS amongst academic staff members of a Medical faculty and to identify potential risk factors associated with this syndrome. Materials and Methods: A cross-sectional study was carried out among academic staff members at Faculty of Medicine, Suez Canal University (No=268) using stratified random sampling technique. A self-administered questionnairebased approach was used to collect data on socio-demographic factors, eye medical history, computer usage patterns, CVS symptoms, and ergonomic risk factors. Results: The prevalence of CVS among the studied academic staff members was found to be 63.4%. The symptoms most often experienced were eye strain, burning sensation, dryness of the eyes, neck and shoulder pain, back pain, and headache. Furthermore, several predictors of CVS were identified. Being female (OR=2.055, p=0.037), longer duration of daily computer usage (OR=1.627, p < 0.001), presence of refractive errors (OR=2.228, p=0.007), insufficient illumination in the work environment (OR=2.679, p=0.003), and not using chair that provides support for the lower back (OR=2.327, p=0.012) were significantly associated with a higher likelihood of experiencing CVS symptoms. Conclusion and Recommendations: This research revealed that academicians commonly experienced CVS. The gender, duration of daily computer use, workplace lighting, presence of refractive errors, and lack of a chair with back support were all factors that significantly influenced the manifestation of CVS. Interventions are needed to address CVS in academic settings, including optimizing lighting, educating on eye health, computer use, and creating supportive work environment.