IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v13y2024i4p140-145.html
   My bibliography  Save this article

A Psychological Study of the Impact of Social Media Addiction on Sleep Patterns

Author

Listed:
  • Niromi Gunarathne

    (University of Sri Jayewardenepura, Sri Lanka)

  • Aruna Shantha Walpola

    (University of Sri Jayewardenepura, Sri Lanka)

Abstract

This study presents findings from a comprehensive psychological investigation aimed at exploring the impact of social media addiction on sleep patterns among young adults. The research utilized a mixed-methods approach, incorporating quantitative surveys, objective sleep assessments, and qualitative interviews to provide a holistic understanding of the complex relationship between social media use and sleep disturbances. Eightyparticipants aged 18-35 were recruited from diverse demographic backgrounds and assessed for social media addiction using validated scales such as the Bergen Social Media Addiction Scale (BSMAS). Sleep patterns were evaluated using self-report measures (e.g., Pittsburgh Sleep Quality Index) and objective measures such as actigraphy. Psychological factors including anxiety, depression, stress, and self-esteem were also assessed. Results revealed a significant association between social media addiction and disrupted sleep patterns, with higher levels of social media addiction correlating with poorer sleep quality and decreased sleep duration. Qualitative analysis of interviews provided insights into the psychological mechanisms underlying this relationship, highlighting factors such as fear of missing out (FOMO), heightened cognitive arousal, and maladaptive coping strategies. The findings underscore the importance of addressing social media addiction as a potential risk factor for sleep disturbances and suggest the need for targeted interventions to promote healthier digital habits and improve sleep hygiene among young adults.

Suggested Citation

  • Niromi Gunarathne & Aruna Shantha Walpola, 2024. "A Psychological Study of the Impact of Social Media Addiction on Sleep Patterns," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 13(4), pages 140-145, April.
  • Handle: RePEc:bjb:journl:v:13:y:2024:i:4:p:140-145
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.13Issue4/140-145.pdf
    Download Restriction: no

    File URL: https://www.ijltemas.in/papers/volume-13-issue-4/140-145.html
    Download Restriction: no
    ---><---

    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:bjb:journl:v:13:y:2024:i:4:p:140-145. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    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.