Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population

Abstract

Background. The purpose of the study was to determine the prevalence of computer vision syndrome (CVS) and poor sleep quality among university students and assess the relationship between digital device usage, CVS, and sleep quality. Methods. A cross-sectional study including undergraduate students was conducted in Ghana between January–March 2020. Information on digital device use and CVS symptoms was collected using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was used to determine the relationship between CVS and digital device use behavior, and linear regression analysis was used to explore the association between sleep quality and digital device use behavior. Statistical significance was set at p < 0.05. Results. 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, p < 0.001), years of digital device use (OR = 3.0, p < 0.001), adjustment of digital device screen contrast to the surrounding brightness (OR = 1.95, p = 0.014), and presence of glare (OR = 1.79, p = 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 ( p = 0.015) and the number of hours they used a digital device per day ( p = 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.

Computer vision syndrome and its determinants: A systematic review and meta-analysis

“…A total of 45 cross-sectional and 4 case control studies were included in this systematic review and meta-analysis: four studies in Saudi Arabia, 39–42 four studies in Pakistan, 43–46 three studies in Spain, 47–49 three studies in Ghana, 50–52 seven studies in Ethiopia, 53–58 five studies in Egypt, 11,59–62 two studies in Nigeria, 63,64 one study in Jordan, 65 two studies in China, 66,67 one study in Iran, 68 one study in Nepal, 69 eight studies in India, 18,70–76 one study in South Korea, 77 one study in Seri Lanka, 78 one study in Italy, 29 two studies in Brazil, 79,80 one study in Beirut, 81 one study in Japan, 82 and one study in Thailand. 83 A total of 23,399 sample sizes were included.…”

Self-Reported Computer Vision Syndrome among Thai University Students in Virtual Classrooms during the COVID-19 Pandemic: Prevalence and Associated Factors

“…This could affect screen time usage when changing to the online classroom. Interestingly, CVS affects the quality of life, including sleep quality and life stress [ 13 , 14 ], and thus a reduction in productivity and school performance. However, information regarding the prevalence and impact of CVS during the COVID-19 pandemics in Southeast Asia, including Thailand, is limited.…”

Hubungan antara Kejadian Computer Vision Syndrome (CVS) dengan Kualitas Tidur Mahasiswa Keperawatan

“…Hal ini mirip dengan hasil dari penelitian lain yang melaporkan efek negatif dari penggunaan perangkat digital yang berlebihan pada kualitas tidur pada mahasiswa, salah satunya penelitian yang dilakukan oleh Akowuah et al (2021) Kualitas tidur yang buruk akan sangat merugikan mahasiswa karena tidur memainkan peran penting dalam proses menghafal, konsentrasi, dan belajar (Hennies, Lambon, Ralph, Kempkes, Cousins, dan Lewis, 2016). Bagi mahasiswa, kurangnya tidur dan munculnya kantuk pada siang hari dapat menyebabkan risiko kegagalan akademik yang lebih tinggi, nilai rata-rata yang buruk, gangguan mood, pembelajaran yang terganggu, hingga risiko kecelakaan yang lebih tinggi (Hershner SD, 2014).…”

“…Hasil uji Chi-Square dengan menggunakan rumus contuinity correction menunjukkan terdapat hubungan yang signifikan antara kejadian CVS dengan kualitas tidur mahasiswa Fakultas Keperawatan Universitas Riau (p-value= 0,001) dengan OR= 2,651. Penelitian terdahulu yang dilakukan oleh Akowuah et al (2021) menunjukkan bahwa prevalensi kualitas tidur yang buruk di antara peserta dengan CVS adalah 67,24% dan tanpa CVS adalah 54,62%. Uji Chi-Square mengungkapkan hubungan yang signifikan antara CVS dan kualitas tidur (chi-kuadrat pearson = 5,68= 0,02).…”