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Digital device use, computer vision syndrome and sleep quality of African College Students

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Document pages: 7 pages

Abstract: Background the aim of this study was to determine the prevalence of computer vision syndrome (CVS) and poor sleep quality among college students, and to evaluate the relationship between digital device use, CVs and sleep quality. method. A cross-sectional study including undergraduates was conducted in Ghana from January to March 2020. A structured questionnaire was used to collect information about digital device use and CVs symptoms. Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality. Logistic regression was used to determine the relationship between CVs and digital device use behavior, and linear regression analysis was used to explore the relationship between sleep quality and digital device use behavior. Statistical significance is set to < 0.05lts. Mean (SD) age of participants was 20.95 (1.68) years and most (54.97 ) of them were females. The prevalence of CVS was 64.36 . Factors associated with CVS included hours of digital device use per day (OR = 4.1,  < 0.001), years of digital device use (OR = 3.0,  < 0.001), adjustment of digital device screen contrast to the surrounding brightness (OR = 1.95,  = 0.014), and presence of glare (OR = 1.79,  = 0.048). Prevalence of poor sleep quality was 62.43 . There was a significant association between poor sleep quality and number of years participants had used a digital device ( = 0.015) and the number of hours they used a digital device per day ( = 0.005). Conclusion. There is a high prevalence of both CVS and poor sleep quality among undergraduate students in Ghana. This represents a significant public health issue that needs attention.

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