Computer vision syndrome: prevalence and risk factors among medical students in Jordan.
To estimate the prevalence of Computer Vision Syndrome, an observational descriptive cross-sectional study was conducted among 360 medical students of all six undergraduate years at the University of Jordan between December 2023 and July 2024. A structured questionnaire including validated CVS-Q, de...
| Publicado en: | International Journal of Environmental Health Research Vol. 36; no. 8; pp. 2052 - 2061 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195895045&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895045 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Aug2026 vid: 36 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195895045 190849379 195895045 195895045 10.1080/09603123.2026.2614976 195895045 ppf: 2052 ppct: 9 formats: tig: atl: Computer vision syndrome: prevalence and risk factors among medical students in Jordan. aug: au: Emeish, Christina M. Saadeh, Ahmad Haroon Al-Kubaisi, Sara Na'el Jibreel, Malik Emeish, Sameer El-Amayreh, Layla AlKhaldi, Sireen affil: Faculty of Medicine, University of Jordan, Amman, Jordan sug: subj: Vision Disorders Risk Factors Risk Assessment Vision Disorders Epidemiology Students, Medical Psychosocial Factors Computer Systems Utilization Human Descriptive Research Nonexperimental Studies Cross Sectional Studies Male Female Jordan Students, Undergraduate Structured Questionnaires Questionnaires Descriptive Statistics Data Analysis Software Univariate Statistics Multivariate Analysis Sex Factors Odds Ratio Lighting Screen Time Prevention and Control Health Promotion Male Female ab: To estimate the prevalence of Computer Vision Syndrome, an observational descriptive cross-sectional study was conducted among 360 medical students of all six undergraduate years at the University of Jordan between December 2023 and July 2024. A structured questionnaire including validated CVS-Q, demographics, and screen-use questions was administered on campus and online through Google forms. Data were analyzed using IBM SPSS Statistics software (v29). Descriptive statistics, univariate, and multivariate analyses were used. CVS prevalence was found to be 76.9%. Females had higher odds of CVS (OR = 1.834, p = 0.028). Each one-unit increase in screen time was associated with higher odds of CVS (OR = 1.340, p = 0.030). Each one-unit increase in screen distance was associated with higher odds of CVS (OR = 2.153, p = 0.004). Each one-unit increase in room illumination was associated with lower odds of CVS (OR = 0.555, p = 0.015). Those who used at least one protective measure had lower odds of CVS (OR = 0.403, p = 0.006). There was no statistically significant relationship between CVS and academic year, screen brightness, or posture. These findings highlight the need for spreading awareness and promoting targeted interventions to improve eye health. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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