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Dataset Information

Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study


ABSTRACT:

Introduction:

Computer vision syndrome (CVS) is the leading occupational hazard of the 21st century, which causes the critical public health issues in the present era. In developing countries, including Ethiopia, data on the proportion and the causes of CVS are scarce among academic staff for policy conclusions. Accordingly, this study was conducted to determine the prevalence and factors associated with CVS among academic staff at the University of Gondar.

Methods:

Institution-based cross-sectional study design was conducted from March to April, 2021. A simple random sampling technique was used to select 525 study participants. Data were collected using a pre-tested self-administered structured questionnaire. The collected data were then entered into EpiData version 4.6

SUBMITTER: Tesfaye A 

PROVIDER: S-EPMC9280790 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature