Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students

• Published in: European journal of ophthalmology Vol. 30; no. 1; p. 189
• Main Authors: Al Tawil, Layan, Aldokhayel, Sara, Zeitouni, Leena, Qadoumi, Tala, Hussein, Siham, Ahamed, Shaik Shaffi
• Format: Journal Article
• Language: English
• Published: United States 01.01.2020
• Subjects: Adult; Asthenopia - epidemiology; Computers; Cross-Sectional Studies; Dry Eye Syndromes - epidemiology; Female; Humans; Neck Pain - epidemiology; Prevalence; Risk Factors; Saudi Arabia - epidemiology; Self Disclosure; Shoulder Pain - epidemiology; Students - statistics & numerical data; Surveys and Questionnaires; Syndrome; Universities; Vision Disorders - epidemiology; Saudi Arabia; Saudi Arabia; university students; vision problems; Computer vision syndrome; electronic devices

To determine the prevalence of symptoms of computer vision syndrome and to identify its associated factors. The secondary objective was to assess knowledge and practices related to preventing computer vision syndrome symptoms. The data for this cross-sectional study were collected through a self-adm...