Prevalence and Predictors of Fatigue among Thai Women after COVID-19 Infection

泰国女性感染新冠病毒后疲劳的患病率和预测因素

阅读:1

Abstract

BACKGROUND: Several people suffered from fatigue after recovering from coronavirus disease 2019 (COVID-19). However, limited studies focused on fatigue in women who recovered from COVID-19 infection. This study aimed to investigate the prevalence of fatigue among Thai women after COVID-19 infection and to identify predictive factors, including depression, anxiety, fear, and insomnia. MATERIALS AND METHODS: A cross-sectional research design using convenience sampling was conducted from October 2022 to January 2023. A total of 142 Thai women after COVID-19 infection were recruited from two urban communities located in the Bangkok Metropolitan area, Thailand. The participants completed self-reported questionnaires, including the demographic and illness-related data questionnaire, the Depress Anxiety Stress Scales, the Insomnia Severity Index, the Fear of Progression Questionnaire, and the Fatigue Severity Scale. Data were analyzed using mean, standard deviation, range, Pearson's product-moment correlations, and stepwise multiple regression. RESULTS: All (100%) participants returned the questionnaires. After recovering from COVID-19 infection for at least 1 month or longer, 39.40% of the participants reported fatigue. The multiple regression analysis revealed that fear, anxiety, and insomnia collectively contributed to 47% of the variance in the participants' fatigue (R(2) = 0.47; p < 0.001). CONCLUSIONS: Nearly two-quarters of Thai women after recovering from COVID-19 infection experienced fatigue. To prevent fatigue among Thai women after COVID-19 infection, it is necessary to help them overcome feelings of fear and anxiety. Furthermore, nursing interventions aiming to alleviate insomnia should be implemented.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。