Hasan Al-Omari, RN, MSN, ARNP, PhD, The Hashemite University, Zarqa, Jordan.
Yousef Aljawarneh, RN, MSN, PhD, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.
J Am Psychiatr Nurses Assoc. 2024 Sep-Oct;30(5):878-885. doi: 10.1177/10783903231212904. Epub 2023 Nov 29.
The outbreak of the novel Coronavirus pandemic resulted in a sudden change to the daily activities of individuals, including the academic institutions. University-level students are vulnerable to psychological health issues when faced with a large-scale crisis such as the coronavirus disease (COVID-19) pandemic; they need resilience to help them successfully manage and cope with changes.
The aim of this study was to examine the resilience and associated predictors among university students during the COVID-19 pandemic in the United Arab Emirates.
This study employed a cross-sectional descriptive design to examine the levels of resilience and associated predictors of university students. No sampling criterion was set up and all active students from all programs were eligible to participate. A convenience sampling technique was employed for its practical feasibility and efficiency. The data were collected between February 2021 and May 2021.
A total of 2,085 students completed the study questionnaires. The mean score of total resilience among the students was 65.01 (±14.697), while the mean score for personal resilience and caregiver resilience was 38.08 (±8.675) and 26.92 (±6.694), respectively. Comparing total resilience, personal resilience, and caregiver resilience with students' Cumulative Grade Point Average level revealed a significant difference. The predictors of resilience include academic level and number of courses the students enrolled in.
Academic institutions need to support the establishment of resilience training programs to prepare students for any challenging time, such as the COVID-19 pandemic.
新型冠状病毒疫情的爆发导致个人的日常活动突然发生变化,包括学术机构。当面临冠状病毒病(COVID-19)等大规模危机时,大学生容易出现心理健康问题;他们需要适应力来帮助他们成功管理和应对变化。
本研究旨在检查阿联酋 COVID-19 大流行期间大学生的适应力及其相关预测因素。
本研究采用横断面描述性设计来检查大学生的适应力水平及其相关预测因素。没有设置抽样标准,所有来自所有专业的活跃学生都有资格参加。由于其实用性和效率,采用了方便抽样技术。数据收集于 2021 年 2 月至 2021 年 5 月之间。
共有 2085 名学生完成了研究问卷。学生的总适应力平均得分为 65.01(±14.697),而个人适应力和照顾者适应力的平均得分为 38.08(±8.675)和 26.92(±6.694)。与学生的累积平均绩点相比,总适应力、个人适应力和照顾者适应力存在显著差异。适应力的预测因素包括学术水平和学生所修课程的数量。
学术机构需要支持建立适应力培训计划,以帮助学生为任何挑战性的时期(如 COVID-19 大流行)做好准备。