Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines

Driven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursin...

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Main Authors: Ryan Michael F. Oducado, Maria Teresa R. Fajardo, Geneveve M. Parreño-Lachica, Jestoni D. Maniago, Paulo Martin B. Villanueva, Ma. Asuncion Christine V. Dequilla, Hilda C. Montaño, Emily E. Robite
Format: Article
Language:English
Published: ANPOR Korea 2021-11-01
Series:Asian Journal for Public Opinion Research
Online Access:https://doi.org/10.15206/ajpor.2021.9.4.310
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author Ryan Michael F. Oducado
Maria Teresa R. Fajardo
Geneveve M. Parreño-Lachica
Jestoni D. Maniago
Paulo Martin B. Villanueva
Ma. Asuncion Christine V. Dequilla
Hilda C. Montaño
Emily E. Robite
author_facet Ryan Michael F. Oducado
Maria Teresa R. Fajardo
Geneveve M. Parreño-Lachica
Jestoni D. Maniago
Paulo Martin B. Villanueva
Ma. Asuncion Christine V. Dequilla
Hilda C. Montaño
Emily E. Robite
author_sort Ryan Michael F. Oducado
collection DOAJ
description Driven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursing students in a large, private, non-sectarian university in the Philippines. This cross-sectional online survey involves 597 nursing students in the Philippines using the Zoom Exhaustion and Fatigue Scale. Multiple linear regression analysis was used to examine predictors of videoconference fatigue. Results indicated that nursing students experienced high levels of videoconference fatigue. Gender, self-reported academic performance, Internet connection stability, attitude toward videoconferencing, frequency, and duration of videoconferences predicted videoconference fatigue. The regression model explained 25.3% of the variances of the videoconference fatigue. Videoconference fatigue is relatively prevalent and may be taking its toll on nursing students. Developing strategic interventions that can protect or mitigate the impact of fatigue during virtual meetings is needed.
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spelling doaj-art-8e4a709e7a6348d18728d24df5a1ba0c2025-08-20T02:40:11ZengANPOR KoreaAsian Journal for Public Opinion Research2288-61682021-11-019410.15206/ajpor.2021.9.4.310Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the PhilippinesRyan Michael F. OducadoMaria Teresa R. FajardoGeneveve M. Parreño-LachicaJestoni D. ManiagoPaulo Martin B. VillanuevaMa. Asuncion Christine V. DequillaHilda C. MontañoEmily E. RobiteDriven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursing students in a large, private, non-sectarian university in the Philippines. This cross-sectional online survey involves 597 nursing students in the Philippines using the Zoom Exhaustion and Fatigue Scale. Multiple linear regression analysis was used to examine predictors of videoconference fatigue. Results indicated that nursing students experienced high levels of videoconference fatigue. Gender, self-reported academic performance, Internet connection stability, attitude toward videoconferencing, frequency, and duration of videoconferences predicted videoconference fatigue. The regression model explained 25.3% of the variances of the videoconference fatigue. Videoconference fatigue is relatively prevalent and may be taking its toll on nursing students. Developing strategic interventions that can protect or mitigate the impact of fatigue during virtual meetings is needed.https://doi.org/10.15206/ajpor.2021.9.4.310
spellingShingle Ryan Michael F. Oducado
Maria Teresa R. Fajardo
Geneveve M. Parreño-Lachica
Jestoni D. Maniago
Paulo Martin B. Villanueva
Ma. Asuncion Christine V. Dequilla
Hilda C. Montaño
Emily E. Robite
Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
Asian Journal for Public Opinion Research
title Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_full Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_fullStr Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_full_unstemmed Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_short Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_sort predictors of videoconference fatigue results from undergraduate nursing students in the philippines
url https://doi.org/10.15206/ajpor.2021.9.4.310
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