IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p13801-d952020.html
   My bibliography  Save this article

Investigation the Relation between Sleep and Quality of Life for College Students in Taiwan by Association Rule Mining

Author

Listed:
  • Ya-Chi Yang

    (Department of Recreation and Hospitality Management, Dahan Institute of Technology, Hualien 971053, Taiwan)

  • Jing-Wei Liu

    (Department of Sport Information and Communication, National Taiwan University of Sport, Taichung 404401, Taiwan)

  • Chung-Pu Chi

    (Center for General Education, Taipei Medical University, Taipei 110301, Taiwan)

  • Shih-Pei Chang

    (Department of Physical Education, Central Taiwan University of Science and Technology, Taichung 406053, Taiwan)

  • Kang-Ming Chang

    (Department of Computer Science and Information Engineering, Asia University, Taichung 413305, Taiwan
    Department of Digital Media Design, Asia University, Taichung 413305, Taiwan
    Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 406040, Taiwan)

Abstract

Background and objectives: Quality of life and sleep quality of college students were extensively studied. The present study evaluated sleep quality and quality of life of college students in Taiwan by using the Pittsburgh Sleep Quality Index (PSQI) and Short-Form Health Survey (SF-36), respectively. Materials and Methods: Data of 1756 college students aged 20–24 years were collected in this study. Association rule analysis was also used to provide a graphics-based visualization of the relationships between data, enabling the rapid identification of data correlations. Results: The results showed that the average physical component scale (PCS) and average mental component scale (MCS) scores were 52.9 and 44.1, respectively. Based on their body mass index (BMI), participants were divided into underweight, normal, overweight, and obese groups. The results of one-way analysis of variance showed that the p values for the PSQI, PCS, and MCS scores were 3.5 × 10 −5 , 1.7 × 10 −5 , and 0.671, respectively. The normal and overweight groups had the lowest PSQI scores. The PCS score of the obese group was lower than that of normal and overweight groups. The p values of the t-test result among PSQI, BMI, PCS, and MCS groups were 0.002, <2 × 10 −16 , and <2 × 10 −16 , respectively. The good sleep quality group had higher PCS and MCS scores. Conclusions: In this study, the results of association rule analysis indicated two distinct groups: Group 1, with the characteristics of good sleep quality as revealed by the high MCS and PCS scores, and Group 2, with the characteristics of poor sleep quality as revealed by low MCS and PCS scores and underweight BMI.

Suggested Citation

  • Ya-Chi Yang & Jing-Wei Liu & Chung-Pu Chi & Shih-Pei Chang & Kang-Ming Chang, 2022. "Investigation the Relation between Sleep and Quality of Life for College Students in Taiwan by Association Rule Mining," Sustainability, MDPI, vol. 14(21), pages 1-11, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13801-:d:952020
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/13801/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/13801/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:14:y:2022:i:21:p:13801-:d:952020. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.