Faculty of Medicine and Health Science, Universiti Sains Islam Malaysia, Nilai 71800, Malaysia.
Islamic Science Institute, Universiti Sains Islam Malaysia, Nilai 71800, Malaysia.
Int J Environ Res Public Health. 2023 Mar 2;20(5):4476. doi: 10.3390/ijerph20054476.
This study aimed to explore the socio-demographic characteristics, mental health status, and perceived causes of pandemic fatigue with COVID-19 pandemic fatigue among the general population of Malaysia. The data was collected online during the transition from the COVID-19 pandemic phase to the endemic phase in Malaysia from 1 to 30 April 2022. Sociodemographic data, Depression Anxiety Stress Scale-21 (DASS-21), perceived causes of pandemic fatigue, and the Fatigue Assessment Scale (FAS) were included in the survey. The chi-square test and a simple logistic regression analysis were used to identify predictors of pandemic fatigue. The completed survey ( = 775) included individuals aged 18 years or above [mean 31.98 (SD = 12.16)] from all states in Malaysia. Pandemic fatigue prevalence was 54.2%. Severe to extremely severe depression, anxiety, and stress symptoms were detected in 11.2%, 14.9%, and 9.1% of the participants, respectively. Younger age, non-Malay ethnicity, living alone, and higher income categories were significantly higher in the fatigued group. Higher DASS-21 scores on all domains were associated with higher FAS scores. Meanwhile, high scores for perceived tiredness from complying with the COVID-19 Standard Operating Procedure (SOP), perceived risk of infection from COVID-19, perceived hardship due to the pandemic, perceived public complacency during the pandemic, and perceived changes due to the pandemic were associated with a higher FAS score. This study provides valuable information for policymakers and mental health professionals worldwide on pandemic fatigue and its associated factors, including mental health status in Malaysia.
本研究旨在探讨马来西亚普通人群的社会人口统计学特征、心理健康状况以及对 COVID-19 大流行疲劳的感知原因。该数据是在 2022 年 4 月 1 日至 30 日马来西亚从 COVID-19 大流行阶段向流行阶段过渡期间在线收集的。调查包括社会人口统计学数据、抑郁焦虑压力量表-21 版(DASS-21)、对大流行疲劳的感知原因以及疲劳评估量表(FAS)。卡方检验和简单逻辑回归分析用于识别大流行疲劳的预测因素。已完成的调查(n=775)包括来自马来西亚所有州的 18 岁及以上的个体[平均年龄为 31.98(SD=12.16)]。大流行疲劳的患病率为 54.2%。11.2%、14.9%和 9.1%的参与者分别出现严重至极度严重的抑郁、焦虑和压力症状。在疲劳组中,年龄较小、非马来族裔、独居和较高收入群体的比例明显更高。DASS-21 各域的较高分数与 FAS 分数的升高相关。同时,由于遵守 COVID-19 标准操作程序(SOP)而感到疲倦、因 COVID-19 感染而感到的风险、因大流行而感到的困难、因大流行期间公众的自满而感到的困难以及因大流行而感到的变化等感知因素与较高的 FAS 分数相关。本研究为全球决策者和心理健康专业人员提供了有关马来西亚大流行疲劳及其相关因素的宝贵信息,包括心理健康状况。