IDEAS home Printed from https://ideas.repec.org/a/tec/bioche/ojs11158.html

The Correlation Between the Use of Eyeglasses and Gender with Computer Vision Syndrome Symptoms

Author

Listed:
  • Endang Sawitri

    (Laboratory of Physiology, Faculty of Medicine, Mulawarman University)

  • Sofia Apriyanti

    (Medical Profession Study, Faculty of Medicine, Mulawarman University)

Abstract

Background: Computer Vision Syndrome (CVS) is a group of symptoms related to eye and vision problems caused by long-term use of computers, tablets, smartphones, and other electronic devices. Several risk factors of CVS have been identified, including individual factors, such as gender and the use of eyeglasses. Objectives: Therefore, this study aimed to determine the correlation between the use of eyeglasses and gender with CVS symptoms among students at the Faculty of Medicine, Mulawarman University, Samarinda. Methods: The study procedures were carried out using an observational analytic method with a cross-sectional design. The sample population comprised 177 students from the Medicine, Dental, and D-3 Nursery Study Programs. Data were then obtained using the Computer Vision Syndrome Questionnaire (CVS-Q) with the assistance of Google Forms and analyzed with the Chi-Square test. Result and Conclusion: The results showed that a total of 146 students (82.5%) experienced CVS symptoms. In addition, the results of statistical tests revealed that risk factors, such as the use of eyeglasses (p= 0.019 OR= 2.990) and gender (p = 0.005 OR = 3.183) had a significant association with CVS symptoms.

Suggested Citation

  • Endang Sawitri & Sofia Apriyanti, 2024. "The Correlation Between the Use of Eyeglasses and Gender with Computer Vision Syndrome Symptoms," Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990, Technium Science, vol. 9, pages 1-7, June.
    • Handle: RePEc:tec:bioche:ojs:11158
    DOI: 10.47577/biochemmed.v9i.11158
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/biochemmed/article/view/11158
    Download Restriction: no
    File URL: https://libkey.io/10.47577/biochemmed.v9i.11158?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tec:bioche:ojs:11158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Maria Golita (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.