Assessment of Self - Rated Computer Vision Discomfort, Knowledge and Stated Preventive Measures among Computer Users: A Descriptive Study
Abstract: Introduction: Nowadays, most of the jobs requires one to stare at the computer screens for hours at a time. That can put a real strain on one?s eyes. In keeping with the health care system, it is necessary to detect self - rated computer vision discomfort, knowledge and stated preventive measures among computer users. Objectives: The study was conducted to assess the self - rated computer vision discomfort, knowledge and identify the stated prevention measures regarding computer vision discomfort among computer users of Engineering Works Pvt. Ltd in West Bengal. Methods: A descriptive research survey design was adopted. Data were collected in 2023 through utilising of CVS Questionnaires (CVS - Q) and Structured questionnaire to assess knowledge and identify stated prevention measures with 75 computer users of Shubhapuspa Engineering Works Pvt. Ltd. in West Bengal. Descriptive and inferential statistics were used to analyze the data according to the objectives of the study. Results: The findings revealed that the prevalence of computer vision discomfort was (76%). The most common detected symptoms were headache (76%), Itching of eyes (74.6%), burning of eyes (70.6%) and tearing of eyes (66.6%). The mean percentage of digital eye strain was 48%. The majority i. e.64% of the computer users had fair knowledge, 12% had good knowledge and 24% had poor knowledge. The majority (63%) of the computer users obtained satisfactory preventive measures score. There is a significant positive relation between knowledge & preventive measures (p
Keywords: Computer vision discomfort, Knowledge, and Prevention measures
How to Cite?: Maiti Rita, Prof Dr. Asha Sreenivasan, "Assessment of Self - Rated Computer Vision Discomfort, Knowledge and Stated Preventive Measures among Computer Users: A Descriptive Study", Volume 13 Issue 6, June 2024, International Journal of Science and Research (IJSR), Pages: 1667-1673, https://www.ijsr.net/getabstract.php?paperid=SR24623212227, DOI: https://dx.doi.org/10.21275/SR24623212227