Computer vision syndrome and associated factors among urban and rural bankers in Trinidad and Tobago
Kingsley Ekemiri,
Devonte McKnight,
Chioma Ekemiri,
Ngozika Ezinne,
Henrietta Ashang,
Virginia Victor,
Osaze Okonedo,
Ayishetu Oshoke Shuaibu,
Robin Seemongal-Dass
Affiliations
Kingsley Ekemiri
Optometry Unit, Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, Tunapuna, Trinidad, Trinidad and Tobago
Devonte McKnight
Optometry Unit, Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, Tunapuna, Trinidad, Trinidad and Tobago
Chioma Ekemiri
Department of Health Promotion, Faculty of Education and Humanities, University of the West Indies, Health Promotion, Tunapuna, Trinidad, Trinidad and Tobago
Ngozika Ezinne
Optometry Unit, Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, Tunapuna, Trinidad, Trinidad and Tobago
Henrietta Ashang
College of Health Technology, Dispensing Opticianry, Calabar, Cross River, Nigeria
Virginia Victor
School of Nursing, Faculty of Medical Sciences, Mental Health Unit, Tunapuna, Trinidad, Trinidad and Tobago
Osaze Okonedo
Courts Optical Optometry, Optometry Department, Tunapuna, Trinidad, Trinidad and Tobago
Ayishetu Oshoke Shuaibu
Department of Optometry, University of Benin, Benin, Edo State, Nigeria
Robin Seemongal-Dass
Department of Clinical Surgical Sciences, University of the West Indies St. Augustine, St Augustine Campus, Trinidad and Tobago
Background Modern workplace requirements in the banking sector require bankers to work on screens for more than 6 h a day, putting much stress and strain on their eyes, which leads to computer vision syndrome. Therefore, this study aimed to assess the prevalence of computer vision syndrome and associated factors among urban and rural bankers in Trinidad and Tobago. Methods and materials A cross-sectional design was applied to collect data from 399 bankers between April and June 2023. The collected data was entered into Excel worksheets and later uploaded to SPSS for further analysis. A variable with a P-value of 0.25 in binary logistic regression is a candidate for multi-variable logistic regression analysis. Finally, a variable with a P-value of 0.05 was used to declare statistical significance. Results A total of 371 participants were enrolled in this study, leading to a response rate of 92.9%. Of the total participants, 277 (74.7%) had computer vision syndrome. Working in rural areas (AOR = 2.69; 95% CI [1.41–5.13]) and using eyesight glasses (AOR = 0.57; 95% CI [0.33–0.97]) was associated with computer vision syndrome. Conclusion Despite being easily preventable, computer vision syndrome is substantially prevalent among bankers in Trinidad. The use of eye-sight glasses and the working area are significantly associated with computer vision syndrome. Therefore, it is necessary to improve workplace practices by encouraging the use of anti-glare screens and glasses for employees who work long hours on the computer.
