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

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...

Full description

Bibliographic Details
Main Authors: Prince Kwaku Akowuah, Augustine N. Nti, Stephen Ankamah-Lomotey, Asafo Agyei Frimpong, Jeremiah Fummey, Prince Boadi, Kofi Osei-Poku, Joseph Adjei-Anang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Public Health
Online Access:http://dx.doi.org/10.1155/2021/6611348
id doaj-8f7d4bf519074efba72d5865688983fe
record_format Article
spelling doaj-8f7d4bf519074efba72d5865688983fe2021-03-29T00:09:19ZengHindawi LimitedAdvances in Public Health2314-77842021-01-01202110.1155/2021/6611348Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate PopulationPrince Kwaku Akowuah0Augustine N. Nti1Stephen Ankamah-Lomotey2Asafo Agyei Frimpong3Jeremiah Fummey4Prince Boadi5Kofi Osei-Poku6Joseph Adjei-Anang7Department of OptometryNewlands Medical CentreDepartment of OptometryDepartment of OptometryDepartment of OptometryDepartment of OptometryDepartment of OptometryDepartment of OptometryBackground. 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.http://dx.doi.org/10.1155/2021/6611348
collection DOAJ
language English
format Article
sources DOAJ
author Prince Kwaku Akowuah
Augustine N. Nti
Stephen Ankamah-Lomotey
Asafo Agyei Frimpong
Jeremiah Fummey
Prince Boadi
Kofi Osei-Poku
Joseph Adjei-Anang
spellingShingle Prince Kwaku Akowuah
Augustine N. Nti
Stephen Ankamah-Lomotey
Asafo Agyei Frimpong
Jeremiah Fummey
Prince Boadi
Kofi Osei-Poku
Joseph Adjei-Anang
Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
Advances in Public Health
author_facet Prince Kwaku Akowuah
Augustine N. Nti
Stephen Ankamah-Lomotey
Asafo Agyei Frimpong
Jeremiah Fummey
Prince Boadi
Kofi Osei-Poku
Joseph Adjei-Anang
author_sort Prince Kwaku Akowuah
title Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
title_short Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
title_full Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
title_fullStr Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
title_full_unstemmed Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population
title_sort digital device use, computer vision syndrome, and sleep quality among an african undergraduate population
publisher Hindawi Limited
series Advances in Public Health
issn 2314-7784
publishDate 2021-01-01
description 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.
url http://dx.doi.org/10.1155/2021/6611348
work_keys_str_mv AT princekwakuakowuah digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT augustinennti digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT stephenankamahlomotey digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT asafoagyeifrimpong digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT jeremiahfummey digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT princeboadi digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT kofioseipoku digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
AT josephadjeianang digitaldeviceusecomputervisionsyndromeandsleepqualityamonganafricanundergraduatepopulation
_version_ 1714761130119790592