IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i12p4542-d375655.html
   My bibliography  Save this article

Does Interpersonal Interaction Really Improve Emotion, Sleep Quality, and Self-Efficacy among Junior College Students?

Author

Listed:
  • Po-Yu Wang

    (Department of Pediatric Emergency, Changhua Christian Children Hospital, Changhua 500, Taiwan)

  • Pin-Hsuan Lin

    (Department of Health and Beauty, Shu Zen Junior College of Medicine and Management, Kaohsiung 821, Taiwan)

  • Chung-Ying Lin

    (Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)

  • Shang-Yu Yang

    (Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan)

  • Kai-Li Chen

    (Department of Nursing, College of Pharmacy and Health Care, Tajen University, Pingtung 90741, Taiwan)

Abstract

This study discusses the correlation between teenagers’ real-life interpersonal interactions and teenagers’ online interpersonal interactions with regards to emotion, sleep quality, and self-efficacy. This study adopted a cross-sectional design that included a survey using a structured questionnaire which included demographic data, the Chinese version of the Depression Anxiety Stress Scale (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), the General Self-Efficacy Scale (GSE), the Real Interpersonal Interaction Scale (RIIS), and the Internet Interpersonal Interaction Scale (IIIS). This study enlisted 917 teenage students (age = 17.16 ± 1.48 years). The study found that RIIS had significant negative correlations with DASS and PSQI scores and a significant positive correlation with GSE. Namely, the greater the degree of real-life interpersonal interaction, the lower the degree of negative emotion. Likewise, the more satisfactory sleep quality is, the higher self-efficacy is. In addition, IIIS scores demonstrate significantly positive correlations with DASS and PSQI scores. Therefore, the greater the degree of online interpersonal interaction, the greater the levels of negative emotion, and the poorer the sleep quality is. This study showed that online interpersonal interaction may not improve emotions, sleep quality, or self-efficacy among junior college students. However, real-life interpersonal interaction may improve those three parameters.

Suggested Citation

  • Po-Yu Wang & Pin-Hsuan Lin & Chung-Ying Lin & Shang-Yu Yang & Kai-Li Chen, 2020. "Does Interpersonal Interaction Really Improve Emotion, Sleep Quality, and Self-Efficacy among Junior College Students?," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4542-:d:375655
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/12/4542/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/12/4542/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Toni Mora & Joan Gil, 2013. "Peer Effects In Adolescent Bmi: Evidence From Spain," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 501-516, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Toni Mora & Beatriz G. Lopez‐Valcarcel, 2018. "Breakfast choice: An experiment combining a nutritional training workshop targeting adolescents and the promotion of unhealthy products," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 306-319, February.
    2. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    3. Paolo Nicola Barbieri, 2022. "Social distortion in weight perception: a decomposition of the obesity epidemic," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 685-713, July.
    4. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
    5. Åsa Ljungvall & Ulf Gerdtham & Ulf Lindblad, 2015. "Misreporting and misclassification: implications for socioeconomic disparities in body-mass index and obesity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 5-20, January.
    6. Nie, Peng & Sousa-Poza, Alfonso & He, Xiaobo, 2015. "Peer effects on childhood and adolescent obesity in China," China Economic Review, Elsevier, vol. 35(C), pages 47-69.
    7. Jebaraj Asirvatham & Michael R. Thomsen & Rodolfo M. Nayga & Heather L. Rouse, 2018. "Do peers affect childhood obesity outcomes? Peer‐effect analysis in public schools," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 216-235, February.
    8. Gwozdz, Wencke & Sousa-Poza, Alfonso & Reisch, Lucia A. & Bammann, Karin & Eiben, Gabriele & Kourides, Yiannis & Kovács, Éva & Lauria, Fabio & Konstabel, Kenn & Santaliestra-Pasias, Alba M. & Vyncke, , 2015. "Peer effects on obesity in a sample of European children," Economics & Human Biology, Elsevier, vol. 18(C), pages 139-152.
    9. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2018. "Family Ties and Children Obesity in Italy," MPRA Paper 90360, University Library of Munich, Germany, revised 15 Oct 2018.
    10. Lim, Jaegeum & Meer, Jonathan, 2018. "How do peers influence BMI? Evidence from randomly assigned classrooms in South Korea," Social Science & Medicine, Elsevier, vol. 197(C), pages 17-23.
    11. Shanchita R. Khan & Riaz Uddin & Sandra Mandic & Asaduzzaman Khan, 2020. "Parental and Peer Support are Associated with Physical Activity in Adolescents: Evidence from 74 Countries," IJERPH, MDPI, vol. 17(12), pages 1-11, June.
    12. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    13. Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    14. Vermaire, J.H. & van Exel, N.J.A. & van Loveren, C. & Brouwer, W.B.F., 2012. "Putting your money where your mouth is: Parents' valuation of good oral health of their children," Social Science & Medicine, Elsevier, vol. 75(12), pages 2200-2206.
    15. Beneito, Pilar & Muñoz, Marina, 2022. "Preventing tobacco use from the start: Short- and medium-term impacts on the youth," Health Policy, Elsevier, vol. 126(8), pages 831-836.

    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:jijerp:v:17:y:2020:i:12:p:4542-:d:375655. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.