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...

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Publicado en:International Journal of Environmental Health Research Vol. 36; no. 8; pp. 2052 - 2061
Autores principales: Emeish, Christina M., Saadeh, Ahmad, Haroon Al-Kubaisi, Sara, Na'el Jibreel, Malik, Emeish, Sameer, El-Amayreh, Layla, AlKhaldi, Sireen
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Aug2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2026
      vid: 36
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/09603123.2026.2614976
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        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
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