Emmamally Waheedha, Wentzel Dorien, Brysiewicz Petra
Discipline of Nursing, School of Nursing & Public Health, University of KwaZulu-Natal, Durban, South Africa.
Health SA. 2024 Oct 28;29:2675. doi: 10.4102/hsag.v29i0.2675. eCollection 2024.
Online platforms have gained considerable support from students and lecturers post COVID-19, however they are associated with student exhaustion and fatigue.
To determine Zoom exhaustion and fatigue in nursing students at a selected university in South Africa.
A quantitative cross - sectional study was conducted in KwaZulu-Natal to collect data from 146 nursing students registered at the selected university for the 4-year Bachelor of Nursing programme. The Zoom Exhaustion and Fatigue Scale collected data on responses to domains of general fatigue, visual fatigue, social fatigue, motivational fatigue, and emotional fatigue. The data were analysed using the International Business Machines, Statistical Package for Social Sciences, version 26.0. Descriptive statistics were calculated for demographics, a total score was calculated and mean scores and 95% confidence intervals for the different domains were calculated. Mann Whitney U and Kruskal Wallis Independent Tests were calculated to determine associations between demographics and Zoom usage.
The overall Zoom exhaustion and fatigue score was 46.71 (s.d. = 10.50). The motivational fatigue construct had the highest mean score of 3.29 (s.d. = 0.83), followed by general (3.18 s.d. = 0.81), social (3.11, s.d. = 0.88), emotional (3.06, s.d. = 0.99) and visual fatigue (2.92, s.d. = 0.94).
The study concluded that while the overall mean score indicated moderate levels of Zoom exhaustion and fatigue among respondents, majority of the respondents scored high levels (> 48) of Zoom fatigue. Students reported higher levels of motivational fatigue compared to the other 4 constructs.
新冠疫情后，在线平台获得了学生和讲师的大力支持，然而它们与学生的疲惫和倦怠有关。
确定南非一所选定大学护理专业学生的Zoom疲劳和倦怠情况。
在夸祖鲁-纳塔尔省进行了一项定量横断面研究，以收集146名在选定大学注册攻读四年制护理学学士学位课程的护理专业学生的数据。Zoom疲劳和倦怠量表收集了有关一般疲劳、视觉疲劳、社交疲劳、动机疲劳和情绪疲劳等领域的反应数据。使用国际商业机器公司的社会科学统计软件包第26.0版对数据进行分析。计算了人口统计学的描述性统计数据，计算了总分，并计算了不同领域得分的平均分和95%置信区间。计算了曼-惠特尼U检验和克鲁斯卡尔-沃利斯独立检验，以确定人口统计学与Zoom使用之间的关联。
Zoom疲劳和倦怠的总体得分是46.71（标准差=10.50）。动机疲劳结构的平均得分最高，为3.29（标准差=0.83），其次是一般疲劳（3.18，标准差=0.81）、社交疲劳（3.11，标准差=0.88）、情绪疲劳（3.06，标准差=0.99）和视觉疲劳（2.92，标准差=0.94）。
该研究得出结论，虽然总体平均分表明受访者的Zoom疲劳和倦怠处于中等水平，但大多数受访者的Zoom疲劳得分较高（>48）。与其他4种结构相比，学生报告的动机疲劳水平更高。
