Videoconferencing and Sleep Quality in Slovenian University Students: Is There a Mediating Role of Zoom Fatigue?

  • Vita Vuk Osnovna šola Toneta Čufarja, Maribor, Slovenia
  • Marina Horvat Faculty of Arts, University of Maribor, Maribor, Slovenia
  • Vesna Vrečko Pizzulin University Medical Centre Ljubljana, Ljubljana, Slovenia
  • Vita Štukovnik Faculty of Arts, University of Maribor, Maribor, Slovenia
Keywords: Online learning, sleep quality, university students, videoconference fatigue, Zoom fatigue

Abstract

Given the expanding utilisation of technology in educational settings, online learning has become a common teaching method. It prevailed during the Covid-19 pandemic, but the effects of attending videoconferences with active participation on psychological functioning have not yet been studied in detail. This article aimed to evaluate the relationship between videoconferencing and sleep quality – one of the crucial mechanisms promoting physical and mental well-being. Additionally, we were interested in the potential mediating role of videoconferencing fatigue in this relationship. The survey took place during the Covid-19 epidemic (in Spring 2021). Our results show a negative relationship between videoconferencing/screen device use and sleep quality and that this relationship is mediated by videoconferencing fatigue. Results of the further analysis revealed that perceived study suitability plays a significant role in determining to what extent the duration of videoconferences relates to feelings of videoconferencing fatigue. Our findings aid in understanding the relationships between videoconferencing, Zoom fatigue, and sleep better. They may be helpful in optimising remote learning today, as they remain frequently used in higher education worldwide.

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References

Allen, I. E., & Seaman, J. (2016). Online report card: Tracking online education in the United States. Babson Survey Research Group. http://onlinelearningsurvey.com/reports/onlinereportcard.pdf

Al-Samarraie, H. (2019). A scoping review of videoconferencing systems in higher education: Learning paradigms, opportunities, and challenges. International Review of Research in Open and Distributed Learning, 20(3), 121–140. https://dx.doi.org/10.19173/irrodl.v20i4.4037

Alvaro, P. K., Roberts, R. M., & Harris, J. K. (2013). A systematic review assessing bidirectionality between sleep disturbances, anxiety, and depression. Sleep, 36(7), 1059–1068. https://doi.org/10.5665/sleep.2810

Bailenson, J. N. (2021). Nonverbal overload: A theoretical argument for the causes of Zoom fatigue. Technology, Mind, and Behavior, 2(1). https://doi.org/10.1037/tmb0000030

Baker, E. L., & Murphy, S. A. (2021). Conducting successful virtual meetings while managing COVID fatigue. Journal of Public Health Management and Practice, 27(2), 208–212. https://10.1097/PHH.0000000000001335

Butnaru, G. I., Niță, V., Anichiti, A., & Brînză, G. (2021). The effectiveness of online education during Covid 19 pandemic—a comparative analysis between the perceptions of academic students and high school students from Romania. Sustainability, 13(9), 5311. https://doi.org/10.3390/su13095311

Buysse, D. J. (2014). Sleep health: can we define it? Does it matter? Sleep, 37(1), 9–17. https://doi.org/10.5665/sleep.3298

Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4

Cain, N., & Gradisar, M. (2010). Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Medicine, 11(8), 735–742. https://doi.org/10.1016/j.sleep.2010.02.006

Chang, A. M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences, 112(4), 1232–1237. https://doi.org/10.1073/pnas.1418490112

de Sobral, O. K., Lima, J. B., Rocha, D. L. F. L., de Brito, H. A., Duarte, E. S., Bento, L. H. G., L. B. B. B., & Kubrusly, M. (2022). Active methodologies association with online learning fatigue among medical students. BMC Medical Education, 22, 74. https://doi.org/10.1186/s12909-022-03143-x

Dhir, A., Talwar, S., Kaur, P., Budhiraja, S., & Islam, N. (2021). The dark side of social media: Stalking, online self-disclosure and problematic sleep. International Journal of Consumer Studies, 45(6), 1373–1391. https://doi.org/10.1111/ijcs.12659

Diekelmann, S., & Born, J. (2010). The memory function of sleep. Nature Reviews Neuroscience, 11(2), 114–126. https://doi.org/10.1038/nrn2762

Dijk, D. J., & Cajochen, C. (1997). Melatonin and the circadian regulation of sleep initiation, consolidation, structure, and the sleep EEG. Journal of Biological Rhythms, 12(6), 627–635. https://doi.org/10.1177/074873049701200618

Döring, N., Moor, K. D., Fiedler, M., Schoenenberg, K., & Raake, A. (2022). Videoconference fatigue: A conceptual analysis. International Journal of Environmental Research and Public Health, 19(4), 2061. https://doi.org/10.3390/ijerph19042061

Drvodelić, M., & Domović, V. (2022). Parents’ opinions about their children’s distance learning during the first wave of the Covid-19 pandemic. Center for Educational Policy Studies Journal, 12(3), 221–241. https://cepsj.si/index.php/cepsj/article/view/1131/621

Du, C., Zan, M., Cho, M. J., Fenton, J. I., Hsiao, P. Y., Hsiao, R., Keaver, L., Lai, C. C., Lee, H., Ludy, M. J., Shen, W., Swee, W., Thrivikraman, J., Tseng, K. W., Tseng, W. C., Almotwa, J., Feldpausch, C. E., Folk, S., Gadd, S., … Tucker, R. M. (2021). Health behaviors of higher education students from 7 countries: Poorer sleep quality during the COVID-19 pandemic predicts higher dietary risk. Clocks & Sleep, 3(1), 12–30. https://doi.org/10.3390/clockssleep3010002

Fauville, G., Luo, M., Queiroz, A. C., Bailenson, J. N., & Hancock, J. (2021). Zoom exhaustion & fatigue scale. Computers in Human Behavior Reports, 4, 100119. https://doi.org/10.1016/j.chbr.2021.100119

Fossum, I. N., Nordnes, L. T., Storemark, S. S., Bjorvatn, B., & Pallesen, S. (2014). The association between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chronotype. Behavioral Sleep Medicine, 12(5), 343–357. https://doi.org/10.1080/15402002.2013.819468

Gabrovec, B., Selak, Š., Crnkovič, N., Cesar, K., & Šorgo, A. (2021). Raziskava o doživljanju epidemije COVID-19 med študenti: poročilo o opravljeni raziskavi [Research on the experience of the epidemic Covid-19 among students]. Nacionalni inštitut za javno zdravje. https://nijz.si/wpcontent/uploads/2021/04/splosno_porocilo_o_opravljeni_raziskavi_-_raziskava_o_dozivljanju_epidemije_covid-19_med_studenti.pdf

García-Bullé, S. (2020, October 15). What is zoom fatigue and how to avoid it in students?. Institute for the Future of Education. https://observatory.tec.mx/edu-news/zoom-fatigue-students

Ghanem, E., Elhussiney, D., & Elbadawy, D. (2023). Prevalence, risk factors of videoconference fatigue, and its relation to psychological morbidities among Ain Shams medical students, Egypt. The Egyptian Journal of Community Medicine, 41(2), 111–117. 10.21608/ejcm.2022.159150.1234

Gregory, A. M., & Sadeh, A. (2016). Annual research review: Sleep problems in childhood psychiatric disorders–a review of the latest science. Journal of Child Psychology and Psychiatry, 57(3), 296–317. https://doi.org/10.1111/jcpp.12469

Grubic N., Badovinac S., & Johri A.M. (2020). Student mental health in the midst of the COVID-19 pandemic: A call for further research and immediate solutions. International Journal of Social Psychiatry, 66, 517–518. https://doi.org/10.1177/0020764020925108

Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007

Hayes, A. F. (2012). An Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. Guilford Press.

Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22. https://doi.org/10.1080/00273171.2014.962683

Hershner, S. (2020). Sleep and academic performance: Measuring the impact of sleep. Current Opinion in Behavioral Sciences, 33, 51–56. https://doi.org/10.1016/j.cobeha.2019.11.009

Higuchi, S., Motohashi, Y., Liu, Y., & Maeda, A. (2005). Effects of playing a computer game using a bright display on presleep physiological variables, sleep latency, slow wave sleep and REM sleep. Journal of Sleep Research, 14(3), 267–273. https://doi.org/10.1111/j.1365-2869.2005.00463.x

IBM Corp. (2019). IBM SPSS Statistics for Windows, Version 26.0 (26.0). IBM Corp.

Itani, O., Jike, M., Watanabe, N., & Kaneita, Y. (2017). Short sleep duration and health outcomes: A systematic review, meta-analysis, and meta-regression. Sleep Medicine Reviews, 32, 25–36. https://doi.org/10.1016/j.smrv.2017.06.011

Jike, M., Itani, O., Watanabe, N., Buysse, D. J., & Kaneita, Y. (2018). Long sleep duration and health outcomes: A systematic review, meta-analysis and meta regression. Sleep Medicine Reviews, 39, 25–36. https://doi.org/10.1016/j.smrv.2017.06.011

Kavčič, T., Avsec, A., & Zager Kocjan, G. (2020). Psychological functioning of Slovene adults during the COVID-19 pandemic: Does resilience matter?. The Psychiatric Quarterly, 92, 207–216. https://doi.org/10.1007/s11126-020-09789-4

Killgore, W. D., Kahn-Greene, E. T., Lipizzi, E. L., Newman, R. A., Kamimori, G. H., & Balkin, T. J. (2008). Sleep deprivation reduces perceived emotional intelligence and constructive thinking skills. Sleep Medicine, 9(5), 517-526. https://doi.org/10.1016/j.sleep.2007.07.003

Košir, T. (2021). Psihometrične značilnosti slovenske različice Pittsburškega vprašalnika kakovosti spanja [Psychometric Properties of the Slovene Version of the Pittsburgh Sleep Quality Index] [Master’s Thesis, Faculty of Arts, University of Maribor]. Digital Library of the University of Maribor. https://dk.um.si/IzpisGradiva.php?id=78946&lang=eng

Krishnan, B., Sanjeev, R. K., & Latti, R. G. (2020). Quality of sleep among bedtime smartphone users. International Journal of Preventive Medicine, 11(1), 1–5. https://doi.org/10.4103/ijpvm.IJPVM_266_19

Lastella, M., Rigney, G., Browne, M., & Sargent, C. (2020). Electronic device use in bed reduces sleep duration and quality in adults. Sleep and Biological Rhythms, 18, 121–129. https://doi.org/10.1007/s41105-019-00251-y

Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/10.1016/j.ypmed.2016.01.001

Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2017). Social media use before bed and sleep disturbance among young adults in the United States: A nationally-representative study. Sleep, 40(9), zsx113. https://doi.org/10.1093/sleep/zsx113

Li, B. B. J., & Yee, A. Z. (2022). Understanding videoconference fatigue: A systematic review of dimensions, antecedents and theories. Internet Research, 33(2), 796–819. https://doi.org/10.1108/INTR-07-2021-0499

Li, Y., Wang, A., Wu, Y., Han, N., & Huang, H. (2021). Impact of the COVID-19 pandemic on the mental health of college students: A systematic review and meta-analysis. Frontiers in Psychology, 12, 669119. https://doi.org/10.3389/fpsyg.2021.669119

Lissak G. (2018). Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study. Environmental Research, 164, 149–157. https://doi.org/10.1016/j.envres.2018.01.015

Liu, J., Zhou, T., Yuan, M., Ren, H., Bian, X., & Coplan, R. J. (2021). Daily routines, parent-child conflict, and psychological maladjustment among Chinese children and adolescents during the COVID-19 pandemic. Journal of Family Psychology, 35(8), 1077–1085. https://doi.org/10.1037/fam0000914

Majumdar, P., Biswas, A., & Sahu, S. (2020). COVID-19 pandemic and lockdown: Cause of sleep disruption, depression, somatic pain, and increased screen exposure of office workers and students of India. Chronobiology International, 37(8), 1191–1200. https://doi.org/10.1080/07420528.2020.1786107

Massner, C. K. (2021). The use of videoconferencing in higher education. In F. Pollák, J. Soviar, & R. Vavrek (Eds.), Communication Management. IntechOpen. https://doi.org/10.5772/intechopen. 99308

Mohamed Hashim, M., Tlemsani, I., & Matthews, R. (2022). Higher education strategy in digital transformation. Education and Information Technologies, 27, 3171–3195. https://doi.org/10.1007/s10639-021-10739-1

Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 852–563. https://doi.org/10.1037/0022-3514.89.6.852

Nadler, R. (2020). Understanding ‘Zoom fatigue’: Theorizing spatial dynamics as third skins in computer-mediated communication. Computers and Composition, 58, 102613. https://doi.org/10.1016/j.compcom.2020.102613

Nakshine, V. S., Thute, P., Khatib, M. N., & Sarkar, B. (2022). Increased screen time as a cause of declining physical, psychological health, and sleep patterns: A literary review. Cureus, 14(10). https://doi.org/10.7759/cureus.30051

Ng, D. T. K., Ching, A. C. H., & Law, S. W. (2023). Online learning in management education amid the pandemic: A bibliometric and content analysis. The International Journal of Management Education, 21(2), 100796. https://doi.org/10.1016/j.ijme.2023.100796

Oducado, R. M. F., Dequilla, M. A. C. V., & Villaruz, J. F. (2022a). Factors predicting videoconferencing fatigue among higher education faculty. Education and Information Technologies, 27(7), 9713-9724.https://doi.org/10.1007/s10639-022-11017-4

Oducado, R. M. F., Fajardo, M. T. R., Parreño-Lachica, G. M., Maniago, J. D., Villanueva, P. M. B., Dequilla, M. A. C. V., ... & Robite, E. E. (2022b). Is videoconference ‘Zoom’ fatigue real among nursing students?. Journal of Loss and Trauma, 27(5), 490–492. https://doi.org/10.1080/15325024.2021.1950987

Orzech, K. M., Grandner, M. A., Roane, B. M., & Carskadon, M. A. (2016). Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Computers in Human Behavior, 55(A), 43–50. https://doi.org/10.1016/j.chb.2015.08.049

Orzech, K. M., Salafsky, D. B., & Hamilton, L. A. (2011). The state of sleep among college students at a large public university. Journal of American College Health, 59(7), 612–619. https://doi.org/10.1080/07448481.2010.520051

Pardhan, S., Parkin, J., Trott, M., & Driscoll, R. (2022). Risks of digital screen time and recommendations for mitigating adverse outcomes in children and adolescents. The Journal of School Health, 92(8), 765–773. https://doi.org/10.1111/josh.13170

Peng, P., Hao, Y., Liu, Y., Chen, S., Wang, Y., Yang, Q., Wang, X., Li, M., Wang, Y., He, L., Wang, Q., Ma, Y., He, H., Zhou, Y., Wu, Q., & Liu, T. (2023). The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders, 321, 167–181. https://doi.org/10.1016/j.jad.2022.10.040

Pham, H. T., Chuang, H. L., Kuo, C. P., Yeh, T. P., & Liao, W. C. (2021). Electronic device use before bedtime and sleep quality among university students. Healthcare, 9(9), 1091. https://doi.org/10.3390/healthcare9091091

Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. https://doi.org/10.1080/00273170701341316

Queiroz, A. C., Nascimento, A., Fauville, G., Luo, M., Meirelles, F., Plank, D. N., Bailenson, J. N., & Hancock, J. (2021). Translation, validation, and application of the ZEF scale to assess zoom fatigue in the Brazilian population. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.3844219

Rafsanjani, M. A., Pamungkas, H. P., Laily, N., & Prabowo, A. E. (2022). Online learning during the Covid-19 pandemic: Readiness and satisfaction among Indonesian students. Center for Educational Policy Studies Journal, 12(3), 149–165. https://doi.org/10.26529/cepsj.1113

Revilla-Cuesta, V., Skaf, M., Varona, J. M., & Ortega-López, V. (2021). The outbreak of the COVID-19 pandemic and its social impact on education: Were engineering teachers ready to teach online?. International Journal of Environmental Research and Public Health, 18(4), 2127. https://doi.org/10.3390/ijerph18042127

Riedl, R. (2022). On the stress potential of videoconferencing: Definition and root causes of Zoom fatigue. Electronic Markets, 32(1), 153–177. https://doi.org/10.1007/s12525-021-00501-3

Rodríguez-Larrad, A., Mañas, A., Labayen, I., González-Gross, M., Espin, A., Aznar, S., ... & Irazusta, J. (2021). Impact of COVID-19 confinement on physical activity and sedentary behaviour in Spanish university students: Role of gender. International Journal of Environmental Research and Public Health, 18(2), 369. https://doi.org/10.3390/ijerph18020369

Rosen, L., Carrier, L. M., Miller, A., Rokkum, J., & Ruiz, A. (2016). Sleeping with technology: Cognitive, affective, and technology usage predictors of sleep problems among college students. Sleep Health, 2(1), 49–56. https://doi.org/10.1016/j.sleh.2015.11.003

Rosseel Y. (2012). ‘lavaan: An R Package for Structural Equation Modeling.’ Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02

Salfi, F., Amicucci, G., Corigliano, D., D’Atri, A., Viselli, L., Tempesta, D., & Ferrara, M. (2021). Changes of evening exposure to electronic devices during the COVID-19 lockdown affect the time course of sleep disturbances. Sleep, 44(9), 1–9. https://doi.org/10.1093/sleep/zsab080

Salim, J., Tandy, S., Arnindita, J. N., Wibisono, J. J., Haryanto, M. R., & Wibisono, M. G. (2022). Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic. Medical Journal of Indonesia, 31(1), 13–9. https://doi.org/10.13181/mji.oa.225703

Scott, H., & Woods, H. C. (2018). Fear of missing out and sleep: Cognitive behavioural factors in adolescents’ nighttime social media use. Journal of Adolescence, 68(1), 61–65. https://doi.org/10.1016/j.adolescence.2018.07.009

Shoshan, N. H., & Wehrt, W. (2022). Understanding ‘Zoom fatigue’: A mixed method approach. Applied Psychology, 71(3), 827–852. https://doi.org/10.1111/apps.12360

Student Organization of Slovenia. (2020). Analiza ankete o poteku študija na daljavo in priporočila Študentske organizacije Slovenije [Analysis of the survey on distance learning and recommendations of the Student Organization of Slovenia]. Študentska organizacija Slovenije/Student Organization of Slovenia. https://www.studentska-org.si/wp-content/uploads/2020/04/Analiza-ankete-o-%C5%A1tudiju-na-daljavo-in-priporo%C4%8Dila-%C5%A0OS.pdf?fbclid=IwAR3Q6RcM9k2fVh5LsAt4HfK5YZam71oPjCyPQN_0ou0xcRYLunjGmEBtbyM

Tang, S., Werner-Seidler, A., Torok, M., Mackinnon, A. J., & Christensen, H. (2021). The relationship between screen time and mental health in young people: A systematic review of longitudinal studies. Clinical Psychology Review, 86, 102021. https://doi.org/10.1016/j.cpr.2021.102021

Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health, 11(1), 66. https://doi.org/10.1186/1471-2458-11-66

Touitou, Y., Touitou, D., & Reinberg, A. (2016). Disruption of adolescents’ circadian clock: The vicious circle of media use, exposure to light at night, sleep loss and risk behaviors. Journal of Physiology Paris, 110(4), 467–479. https://doi.org/10.1016/j.jphysparis.2017.05.001

Unver, E., & Sungur, A. (2022). Distance learning under the Covid-19 conditions within architectural education. Center for Educational Policy Studies Journal, 12(3), 191–219. https://cepsj.si/index.php/cepsj/article/view/1081/620

Valenzuela, R. L. G., Velasco, R. I. B., & Jorge, M. P. P. C., 2nd (2023). Impact of COVID-19 pandemic on sleep of undergraduate students: A systematic literature review. Stress and Health, 39(1), 4–34. https://doi.org/10.1002/smi.3171

Watanabe, K., Adachi, H., Yamamoto, R., Fujino, R., Ishimaru, D., Kanayama, D., Sakagami, Y., Akamine, S., Marutani, N., Mamiya, Y., Mashita, M., Nakano, N., Kudo, T. & Ikeda, M. (2022). Increased digital media use is associated with sleep problems among university students: A study during the COVID-19 pandemic in Japan. Frontiers in Psychiatry, 13, 946265. https://doi.org/10.3389/fpsyt.2022.946265

Wiederhold, B. K. (2020). Connecting through technology during the Coronavirus disease 2019 pandemic: Avoiding ‘Zoom Fatigue’. Cyberpsychology, Behavior, and Social Networking, 23(7), 437–438. https://doi.org/10.1089/cyber.2020.29188.bkw

Williams N. (2021). Working through COVID-19: ‘Zoom’ gloom and ‘Zoom’ fatigue. Occupational Medicine, 71(3), 164. https://doi.org/10.1093/occmed/kqab041

Zackal, J. (2021, February 12). Remote work is more of a possibility beyond the pandemic. HigherEdJobs. https://www.higheredjobs.com/Articles/articleDisplay.cfm?ID=2600

Published
2024-05-28
How to Cite
Vuk, V., Horvat, M., Vrečko Pizzulin, V., & Štukovnik, V. (2024). Videoconferencing and Sleep Quality in Slovenian University Students: Is There a Mediating Role of Zoom Fatigue?. Center for Educational Policy Studies Journal. https://doi.org/10.26529/cepsj.1697