Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic

Keywords: fatigue, Indonesia, mental illness, online education, risk factors
Abstract viewed: 3146 times
PDF downloaded: 2120 times
HTML downloaded: 302 times
EPUB downloaded: 336 times

Abstract

BACKGROUND Global nations have enforced strict health protocols because of the COVID-19’s high transmission, infectivity, and mortality. As shown by increased online learning and video conferencing, the employment and education sectors are shifting to home-based activities. Video conferencing as a communication medium has subtly led to zoom fatigue. This study aimed to analyze the risk factors of zoom fatigue for early prevention and treatment.

METHODS This cross-sectional study was conducted on 335 Indonesian university students selected by purposive sampling in July 2021. Data were collected using a demographic questionnaire including online courses duration during the COVID-19 pandemic; Pittsburgh sleep quality index; depression, anxiety and stress scale-21; and zoom & exhaustion fatigue (ZEF) scale through Google Form (Google LLC, USA) distributed via social media and student forums. Association and correlation tests were used, and the model was developed using linear regression.

RESULTS The respondents were aged 21.3 (1.8) years with 12.8 (5.1) months of online courses during the COVID-19 pandemic and a ZEF scale of 2.8 (0.9). Students with higher ZEF had irregular physical exercise, poorer sleep quality, longer video conferencing sessions, longer months of courses during the COVID-19 pandemic, and higher mental illness (i.e., stress, anxiety, and depression). Smoking negatively correlated with fatigue (r = −0.12). The model for ZEF showed good predictability for zoom fatigue (p<0.001, R2 = 0.57).

CONCLUSIONS Daily exposure to video conferencing in educational settings throughout the pandemic has drastically increased zoom fatigue. The stakeholders must act immediately to minimize the risks while providing maximum benefits.

References

  1. Djalante R, Lassa J, Setiamarga D, Sudjatma A, Indrawan M, Haryanto B, et al. Review and analysis of current responses to COVID-19 in Indonesia: period of January to March 2020. Prog Disaster Sci. 2020;6:100091. https://doi.org/10.1016/j.pdisas.2020.100091

  2. Indonesian Ministry of Education and Culture. Educational center quantity stratified by provincial covid-19 epidemiology in Indonesia. Indonesian Ministry of Education and Culture; 2021. Indonesian.

  3. Statistics Indonesia. Community behavior during the emergency PPKM period, results of the community behavior survey during the covid-19 pandemic. Statistics Indonesia; 2021. Indonesian.

  4. Fajrin MU, Tiorida E. Factors affecting interest and behavior of technology utilization (video conference use during physical distancing). In: Universities' Role as Center of Excellence in Improving The Innovative and Competitive Human Resource. Proceedings of the 11th Industrial Research Workshop and National Seminar (IRWNS); 2020; Bandung. Indonesian.

  5. Guo YF, Liao MQ, Cai WL, Yu XX, Li SN, Ke XY, et al. Physical activity, screen exposure and sleep among students during the pandemic of COVID-19. Sci Rep. 2021;11:8529. https://doi.org/10.1038/s41598-021-88071-4

  6. Abad-Alcalá L. Media literacy for older people facing the digital divide: the e-inclusion programmes design. Comunicar. 2014;21(42):173-80. https://doi.org/10.3916/C42-2014-17

  7. Caglar E, Bilgili N, Karaca A, Deliceoglu G. Screen time differences among Turkish university students as an indicator of sedentary lifestyle and inactivity. Croat J Educ. 2017;19(4):1105-30. https://doi.org/10.15516/cje.v19i4.2462

  8. Wisnumurti AAGO, Darma IK, Suasih NNR. Government policy of Indonesia to managing demographic bonus and creating Indonesia gold in 2045. IOSR J Humanit Soc Sci. 2018;23(1):23-34. https://doi.org/10.9790/0837-2301072334

  9. Hasbi A, Nguyen T, Rahal H, Manduca JD, Miksys S, Tyndale RF, et al. Sex difference in dopamine D1-D2 receptor complex expression and signaling affects depression- and anxiety-like behaviors. Biol Sex Differ. 2020;11(1):8. https://doi.org/10.1186/s13293-020-00285-9

  10. Pawelec G. Age and immunity: what is "immunosenescence"? Exp Gerontol. 2018;105:4-9. https://doi.org/10.1016/j.exger.2017.10.024

  11. Fauville G, Luo M, Queiroz ACM, Bailenson JN, Hancock J. Nonverbal mechanisms predict zoom fatigue and explain why women experience higher levels than men. SSRN Electron J. 2021:1-18. https://doi.org/10.2139/ssrn.3820035

  12. Llido LO, Mirasol R. Comparison of body mass index based nutritional status using WHO criteria versus "Asian" criteria: report from the Philippines. PhilSPEN Online J Parenter Enteral Nutr. 2011;1(5):1-8.

  13. BlackDog Institute. DASS 21 Australia [Internet]. Available from: https://www.hgmc.com.au/pdf/dass.pdf

  14. Tran TD, Tran T, Fisher J. Validation of the depression anxiety stress scales (DASS) 21 as a screening instrument for depression and anxiety in a rural community-based cohort of northern Vietnamese women. BMC Psychiatry. 2013;13:24. https://doi.org/10.1186/1471-244X-13-24

  15. Onie S, Kirana AC, Alfian A, Mustika NP, Adesla V, Ibrahim R. Assessing the predictive validity and reliability of the DASS-21, PHQ-9 and GAD-7 in an Indonesian sample. PsyArXiv. 2020;1-17. https://doi.org/10.31234/osf.io/eqcm9

  16. Kinanthi MR, Listiyandini RA, Amaliah US, Ramadhanty R, Farhan M. Indonesian DASS-21 adaptation among university students. In: Indonesian University Students Mental Health: Understanding its Protective Factors. National Seminar on Psychology and Call for Paper UMB Yogyakarta; 2020; Yogyakarta. Indonesian.

  17. Manzar MD, Moiz JA, Zannat W, Spence DW, Pandi-Perumal SR, BaHammam AS, et al. Validity of the Pittsburgh sleep quality index in Indian university students. Oman Med J. 2015;30(3):193-202. https://doi.org/10.5001/omj.2015.41

  18. Alim IZ. Test validity and reliability of the instrument pittsburgh sleep quality index Indonesia language version [master's thesis]. Universitas Indonesia; 2015.

  19. Fauville G, Luo M, Queiroz ACM, Bailenson JN, Hancock J. Zoom exhaustion & fatigue scale. SSRN Electron J. 2021;1-25. https://doi.org/10.2139/ssrn.3786329

  20. Caputo GB, Bortolomasi M, Ferrucci R, Giacopuzzi M, Priori A, Zago S. Visual perception during mirror-gazing at one's own face in patients with depression. Sci World J. 2014;2014:946851. https://doi.org/10.1155/2014/946851

  21. Kim J, Shin JH, Ryu JK, Jung JH, Kim CH, Lee HB, et al. Association of depression with functional mobility in schizophrenia. Front Psychiatry. 2020;11:854. https://doi.org/10.3389/fpsyt.2020.00854

  22. Mueller-Schotte S, Bleijenberg N, van der Schouw YT, Schuurmans MJ. Fatigue as a long-term risk factor for limitations in instrumental activities of daily living and/or mobility performance in older adults after 10 years. Clin Interv Aging. 2016;11:1579-87. https://doi.org/10.2147/CIA.S116741

  23. Schulze L, Renneberg B, Lobmaier JS. Gaze perception in social anxiety and social anxiety disorder. Front Hum Neurosci. 2013;7:872. https://doi.org/10.3389/fnhum.2013.00872

  24. Frosina P, Logue M, Book A, Huizinga T, Amos S, Stark S. The effect of cognitive load on nonverbal behavior in the cognitive interview for suspects. Pers Individ Differ. 2018;130:51-8. https://doi.org/10.1016/j.paid.2018.03.012

  25. Tomprou M, Kim YJ, Chikersal P, Woolley AW, Dabbish LA. Speaking out of turn: how video conferencing reduces vocal synchrony and collective intelligence. PLoS One. 2021;16(3):e0247655. https://doi.org/10.1371/journal.pone.0247655

  26. Butler DL, Mattingley JB, Cunnington R, Suddendorf T. Mirror, mirror on the wall, how does my brain recognize my image at all? PLoS One. 2012;7(2):e31452. https://doi.org/10.1371/journal.pone.0031452

  27. Chandra SR, Issac TG. Mirror image agnosia. Indian J Psychol Med. 2014;36(4):400-3. https://doi.org/10.4103/0253-7176.140726

  28. Hall JA, Gunnery SD. 21 gender differences in nonverbal communication. In: Hall JA, Knapp ML, editors. Nonverbal communication. Berlin, Boston: De Gruyter Mouton; 2013. p. 639-70. https://doi.org/10.1515/9783110238150.639

  29. Warthen KG, Boyse-Peacor A, Jones KG, Sanford B, Love TM, Mickey BJ. Sex differences in the human reward system: convergent behavioral, autonomic and neural evidence. Soc Cogn Affect Neurosci. 2020;15(7):789-801. https://doi.org/10.1093/scan/nsaa104

  30. Dobryakova E, Genova HM, DeLuca J, Wylie GR. The dopamine imbalance hypothesis of fatigue in multiple sclerosis and other neurological disorders. Front Neurol. 2015;6:52. https://doi.org/10.3389/fneur.2015.00052

  31. Cordeiro LMS, Rabelo PCR, Moraes MM, Teixeira-Coelho F, Coimbra CC, Wanner SP, et al. Physical exercise-induced fatigue: the role of serotonergic and dopaminergic systems. Brazilian J Med Biol Res. 2017;50(12):e6432. https://doi.org/10.1590/1414-431x20176432

  32. Yetkin-Arik B, Vogels IMC, Nowak-Sliwinska P, Weiss A, Houtkooper RH, Van Noorden CJF, et al. The role of glycolysis and mitochondrial respiration in the formation and functioning of endothelial tip cells during angiogenesis. Sci Rep. 2019;9:12608. https://doi.org/10.1038/s41598-019-48676-2

  33. Useche SA, Montoro LV, Ruiz JI, Vanegas C, Sanmartin J, Alfaro E. Workplace burnout and health issues among Colombian correctional officers. PLoS One. 2019;14(2):e0211447. https://doi.org/10.1371/journal.pone.0211447

  34. Chatlaong T, Pitanupong J, Wiwattanaworaset P. Sleep quality and burnout syndrome among residents in training at the Faculty of Medicine, Prince of Songkla University. Siriraj Med J. 2020;72(4):307-14. https://doi.org/10.33192/Smj.2020.41

  35. Morris G, Stubbs B, Köhler CA, Walder K, Slyepchenko A, Berk M, et al. The putative role of oxidative stress and inflammation in the pathophysiology of sleep dysfunction across neuropsychiatric disorders: focus on chronic fatigue syndrome, bipolar disorder and multiple sclerosis. Sleep Med Rev. 2018;41:255-65. https://doi.org/10.1016/j.smrv.2018.03.007

  36. Solopchuk O, Sebti M, Bouvy C, Benoit CE, Warlop T, Jeanjean A, et al. Locus coeruleus atrophy doesn't relate to fatigue in Parkinson's disease. Sci Rep. 2018;8:12381. https://doi.org/10.1038/s41598-018-30128-y

  37. Belujon P, Grace AA. Dopamine system dysregulation in major depressive disorders. Int J Neuropsychopharmacol. 2017;20(12):1036-46. https://doi.org/10.1093/ijnp/pyx056

  38. Ozdogar AT, Kahraman T, Ozakbas S. Smoking is associated with walking, fatigue, depression, and health-related quality of life in persons with multiple sclerosis. Tob Induc Dis. 2018;16(Suppl 3):A21. https://doi.org/10.18332/tid/94759

  39. Garduño J, Galindo-Charles L, Jiménez-Rodríguez J, Galarraga E, Tapia D, Mihailescu S, et al. Presynaptic α4β2 nicotinic acetylcholine receptors increase glutamate release and serotonin neuron excitability in the dorsal raphe nucleus. J Neurosci. 2012;32(43):15148-57. https://doi.org/10.1523/JNEUROSCI.0941-12.2012

  40. Himaja J, Rakesh B. Pathophysiological effects of smoking on cardiovascular system and function: the role of nicotine and carbon monoxide and the benefits of smoking cessation. Int J Pharm Pharm Res. 2016;7(3):360-80.

Published
2022-01-19
How to Cite
1.
Salim J, Tandy S, Arnindita JN, Wibisono JJ, Haryanto MR, Wibisono MG. Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic. Med J Indones [Internet]. 2022Jan.19 [cited 2024Apr.24];31(1):13-9. Available from: http://mji.ui.ac.id/journal/index.php/mji/article/view/5703
Section
Clinical Research

DB Error: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ') AND metric_type = 'ojs::counter' GROUP BY submission_id ORDER BY metric DESC' at line 1

Stack Trace:

File: /home/mjifkui/public/journal/lib/pkp/classes/statistics/PKPMetricsDAO.inc.php line 192
Function: DAO->retrieve("SELECT submission_id, SUM(metric) AS metric FROM metrics WHERE a...", Array(3))

File: /home/mjifkui/public/journal/classes/statistics/MetricsDAO.inc.php line 39
Function: PKPMetricsDAO->getMetrics(Array(1), Array(1), Array(3), Array(1), Null, True)

File: /home/mjifkui/public/journal/plugins/generic/usageStats/PKPUsageStatsReportPlugin.inc.php line 84
Function: MetricsDAO->getMetrics("ojs::counter", Array(1), Array(2), Array(1), Null)

File: /home/mjifkui/public/journal/plugins/generic/usageStats/OJSUsageStatsReportPlugin.inc.php line 32
Function: PKPUsageStatsReportPlugin->getMetrics("ojs::counter", Array(1), Array(2), Array(1), Null)

File: /home/mjifkui/public/journal/lib/pkp/classes/core/PKPApplication.inc.php line 615
Function: OJSUsageStatsReportPlugin->getMetrics("ojs::counter", Array(1), Array(2), Array(1), Null)

File: /home/mjifkui/public/journal/plugins/generic/recommendByAuthor/RecommendByAuthorPlugin.inc.php line 96
Function: PKPApplication->getMetrics(Array(1), Array(1), Array(2), Array(1))

File: /home/mjifkui/public/journal/lib/pkp/classes/plugins/HookRegistry.inc.php line 107
Function: RecommendByAuthorPlugin->callbackTemplateArticlePageFooter("Templates::Article::Footer::PageFooter", Array(3))

File: /home/mjifkui/public/journal/lib/pkp/classes/template/PKPTemplateManager.inc.php line 1116
Function: HookRegistry::call("Templates::Article::Footer::PageFooter", Array(3))

File: /home/mjifkui/public/journal/cache/t_compile/42362804174f266c598cdb32c3208fc745b92101^1c372c95cd85572e0fbc9a53d0323a0b229cfc78_0.app.frontendpagesarticle.tpl.php line 43
Function: PKPTemplateManager->smartyCallHook(Array(1), Object(Smarty_Internal_Template))

File: /home/mjifkui/public/journal/lib/pkp/lib/vendor/smarty/smarty/libs/sysplugins/smarty_template_resource_base.php line 123
Function: content_661e2adf5094a4_83632276(Object(Smarty_Internal_Template))

File: /home/mjifkui/public/journal/lib/pkp/lib/vendor/smarty/smarty/libs/sysplugins/smarty_template_compiled.php line 114
Function: Smarty_Template_Resource_Base->getRenderedTemplateCode(Object(Smarty_Internal_Template))

File: /home/mjifkui/public/journal/lib/pkp/lib/vendor/smarty/smarty/libs/sysplugins/smarty_internal_template.php line 216
Function: Smarty_Template_Compiled->render(Object(Smarty_Internal_Template))

File: /home/mjifkui/public/journal/lib/pkp/lib/vendor/smarty/smarty/libs/sysplugins/smarty_internal_templatebase.php line 232
Function: Smarty_Internal_Template->render(False, 1)

File: /home/mjifkui/public/journal/lib/pkp/lib/vendor/smarty/smarty/libs/sysplugins/smarty_internal_templatebase.php line 134
Function: Smarty_Internal_TemplateBase->_execute(Object(Smarty_Internal_Template), Null, "42362804174f266c598cdb32c3208fc745b92101", Null, 1)

File: /home/mjifkui/public/journal/lib/pkp/classes/template/PKPTemplateManager.inc.php line 843
Function: Smarty_Internal_TemplateBase->display("frontend/pages/article.tpl", Null, "42362804174f266c598cdb32c3208fc745b92101", Null)

File: /home/mjifkui/public/journal/pages/article/ArticleHandler.inc.php line 216
Function: PKPTemplateManager->display("frontend/pages/article.tpl")

File: /home/mjifkui/public/journal/lib/pkp/classes/core/PKPRouter.inc.php line 390
Function: ArticleHandler->view(Array(0), Object(Request))

File: /home/mjifkui/public/journal/lib/pkp/classes/core/PKPPageRouter.inc.php line 231
Function: PKPRouter->_authorizeInitializeAndCallRequest(Array(2), Object(Request), Array(1), False)

File: /home/mjifkui/public/journal/lib/pkp/classes/core/Dispatcher.inc.php line 134
Function: PKPPageRouter->route(Object(Request))

File: /home/mjifkui/public/journal/lib/pkp/classes/core/PKPApplication.inc.php line 252
Function: Dispatcher->dispatch(Object(Request))

File: /home/mjifkui/public/journal/index.php line 68
Function: PKPApplication->execute()