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Does a Social Media Abstinence Really Reduce Stress? A Research-in-Progress Study Using Salivary Biomarkers

  • Eoin WhelanEmail author
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 32)

Abstract

There is much scientific evidence in recent years indicating that our ‘always on’ culture powered by platforms such as Facebook, LinkedIn, Instagram, Twitter, and WhatsApp, is leading to negative health outcomes, particularly stress. To mitigate social media induced stress, people are being advised to abstain from using social media for a period of time. However, the effectiveness of such breaks is open to question. As many people are heavily dependent on social media, the inability to access these platforms for a period of time could actually create stress and anxiety. To determine if and how social media abstinence relates to stress, this project will investigate the role of passion as a mediating variable. Stress will be measured using a combination of the salivary biomarkers cortisol and alpha amylase, with psychological scales. Ultimately, this study aims to determine the boundary conditions under which an abstinence from social media use will either increase or decrease stress levels in working professionals.

Keywords

Social media Stress Abstinence Cortisol Alpha amylase 

References

  1. 1.
    Afifi, T. D., Zamanzadeh, N., Harrison, K., & Callejas, M. A. (2018). WIRED: The impact of media and technology use on stress (cortisol) and inflammation (interleukin IL-6) in fast paced families. Computers in Human Behavior, 81, 265–273.CrossRefGoogle Scholar
  2. 2.
    Reinecke, L., Aufenanger, S., Beutel, M. E., Dreier, M., Quiring, O., Stark, B., et al. (2017). Digital stress over the life span: The effects of communication load and internet multitasking on perceived stress and psychological health impairments in a german probability sample. Media Psychology, 20(1), 90–115.CrossRefGoogle Scholar
  3. 3.
    Hartanto, A., & Yang, H. (2016). Is the smartphone a smart choice? The effect of smartphone separation on executive functions. Computers in Human Behavior, 64, 329–336.CrossRefGoogle Scholar
  4. 4.
    Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., et al. (2016). Association between social media use and depression among US young adults. Depression and Anxiety, 33, 323–331.CrossRefGoogle Scholar
  5. 5.
    Twenge, J.M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17.Google Scholar
  6. 6.
    Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3, 173–182.CrossRefGoogle Scholar
  7. 7.
    Chen, H. T., & Li, X. (2017). The contribution of mobile social media to social capital and psychological well-being: Examining the role of communicative use, friending and self-disclosure. Computers in Human Behavior, 75, 958–965.CrossRefGoogle Scholar
  8. 8.
    Park, N., & Lee, H. (2012). Social implications of smartphone use: Korean College students’ smartphone use and psychological well-being. Cyberpsychology, Behavior, and Social Networking, 15(9).Google Scholar
  9. 9.
    Sha, P., Sariyska, R., Riedl, R., Lachmann, B., & Montag, C. (2019). Linking internet communication and smartphone use disorder by taking a closer look at the Facebook and WhatsApp applications. Addictive Behaviors Reports (Forthcoming).Google Scholar
  10. 10.
    Turel, O. (2015). An empirical examination of the “vicious cycle” of Facebook addiction. Journal of Computer Information Systems, 55(3), 83–91.CrossRefGoogle Scholar
  11. 11.
    Tams, S., Legoux, R., & Leger, P.-M. (2018). Smartphone withdrawal creates stress: A moderated mediation model of nomophobia, social threat, and phone withdrawal context. Computers in Human Behavior, 81, 1–8.CrossRefGoogle Scholar
  12. 12.
    Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, A. (2014). Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290–297.CrossRefGoogle Scholar
  13. 13.
    Russo, M., Bergami, M., & Morandin, G. (2018). Surviving a day without smartphones. MIT Sloan Management Review, 59(2), 6–9.Google Scholar
  14. 14.
    Mark, G., Czerwinski, M., & Iqbal, S. T. (2018). Effects of Individual Differences in Blocking Workplace Distractions. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal.Google Scholar
  15. 15.
    Stieger, S., & Lewetz, D. (2018). A week without using social media: Results from an ecological momentary intervention study using smartphones. Cyberpsychology, Behavior, and Social Networking, 21(10), 618–624.CrossRefGoogle Scholar
  16. 16.
    Hoffner, C. A., Lee, S., & Park, S. J. (2016). “I miss my mobile phone!”: Self-expansion via mobile phone and responses to phone loss. New Media & Society, 18, 2452–2468.CrossRefGoogle Scholar
  17. 17.
    Tromholt, M. (2016). The Facebook experiment: Quitting Facebook leads to higher levels of well-being. Cyberpsychology, Behavior, and Social Networking, 19(11).CrossRefGoogle Scholar
  18. 18.
    Rousseau, F. L., & Vallerand, R. J. (2003). Le rôle de la passion dans le bien-être subjectif des aînés. Revue Québécoise de Psychologie, 24, 197–211.Google Scholar
  19. 19.
    Vallerand, R. J., Salvy, S. J., Mageau, G. A., Elliot, A. J., Denis, P. L., Grouzet, F. M. E., et al. (2007). On the role of passion in performance. Journal of Personality, 75(3), 505–534.CrossRefGoogle Scholar
  20. 20.
    Vallerand, R. J. The psychology of passion: A dualistic model. Series in Positive Psychology (403 p). Oxford: Oxford University Press.Google Scholar
  21. 21.
    Vallerand, R. J., Mageau, G. A., Ratelle, C., Léonard, M., Blanchard, C., Koestner, R., et al. (2003). Les passions de l’âme: On obsessive and harmonious passion. Journal of Personality and Social Psychology, 85(4), 756–767.CrossRefGoogle Scholar
  22. 22.
    Vallerand, R. J. (2008). On the psychology of passion: In search of what makes people’s lives most worth living. Canadian Psychology [Psychologie Canadienne], 49(1), 1–13.CrossRefGoogle Scholar
  23. 23.
    Paradis, K. F., Cooke, L. M., Martin, L. J., & Hall, C. R. (2013). Too much of a good thing? Examining the relationship between passion for exercise and exercise dependence. Psychology of Sport and Exercise, 14(4), 493–500.CrossRefGoogle Scholar
  24. 24.
    Utz, S., Jonas, K. J., & Tonkens, E. (2012). Effects of passion for massively multiplayer online role-playing games on interpersonal relationships. Journal of Media Psychology, 24(2), 77–86.CrossRefGoogle Scholar
  25. 25.
    Przybylski, A. K., Weinstein, N., Ryan, R. M., & Rigby, C. S. (2009). Having to versus wanting to play: Background and consequences of harmonious versus obsessive engagement in video games. CyberPsychology & Behavior, 12(5), 485–492.CrossRefGoogle Scholar
  26. 26.
    Orosz, G., Vallerand, R. J., Bothe, B., Tóth-Király, I., & Paskuj, B. (2016). On the correlates of passion for screen-based behaviors: The case of impulsivity and the problematic and non-problematic Facebook use and TV series watching. Personality and Individual Differences, 101, 167–176.CrossRefGoogle Scholar
  27. 27.
    Tosun, L. P., & Lajunen, T. (2009). Why do young adults develop a passion for internet activities? The associations among personality, revealing “True Self” on the internet, and passion for the internet. CyberPsychology & Behavior, 12(4), 401–406.CrossRefGoogle Scholar
  28. 28.
    Dimoka, A., Banker, R., Benbasat, I., Davis, F., Dennis, A., Gefen, D., et al. (2012). On the use of neurophysiological tools in IS research: Developing a research agenda for neurois. MIS Quarterly, 36(3), 679–702.CrossRefGoogle Scholar
  29. 29.
    Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.CrossRefGoogle Scholar
  30. 30.
    Tams, S., Hill, K., Ortiz de Guinea, A., Thatcher, J., & Grover, V. (2014). NeuroIS—Alternative or complement to existing methods? Illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. Journal of the Association for Information Systems, 15(10), 723–753.Google Scholar
  31. 31.
    Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective: System breakdown increases the stress hormone cortisol in computer users. Business and Information Systems Engineering, 61–69.Google Scholar
  32. 32.
    Tams, S., Thatcher, J., & Ahuja, M. (2015). The impact of interruptions on technology usage: Exploring interdependencies between demands from interruptions, worker control, and role-based stress. In Lecture Notes in Information Systems and Organisation—Information Systems and Neuroscience. Gmunden Retreat on NeurolS (pp. 19–25).Google Scholar
  33. 33.
    Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.CrossRefGoogle Scholar
  34. 34.
    Diener, E., Emmons, R., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75 [Internet]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16367493.
  35. 35.
    Rosenberg, M., Schooler, C., Schoenbach, C., & Rosenberg, F. (1995). Global self-esteem and specific self-esteem: Different concepts, different outcomes. American Sociological Review, 60(1), 141–156.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Business Information SystemsNational University of IrelandGalwayIreland

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