Wang Xiao-Lei, Gao Li-Yan, Miu Qu-Fang, Dong Xu-Dong, Jiang Xiao-Min, Su Si-Man, Shu Wan, Hu Yan, Zhang Xu, Lian Fu-Zhi, Ma Hai-Yan, Xu Xian-Rong
School of Nursing, Hangzhou Normal University, Hangzhou, China.
Department of Clinical Medicine, School of Clinical Medicine, Hangzhou Normal University, Hangzhou, China.
Psychol Health Med. 2022 Jan;27(1):265-279. doi: 10.1080/13548506.2021.1883692. Epub 2021 Feb 11.
The prevalence of and risk factors for uncertainty stress among residents during the COVID-19 pandemic remain unclear. An online cross-sectional survey was conducted to explore and identify the risk factors for high perceived uncertainty stress among the general public in China during the COVID-19 outbreak. Information about the respondents' socioeconomic characteristics, knowledge of and attitudes towards COVID-19, perceived uncertainty stress, social capital, anxiety, and depressive symptoms was collected and analysed. Among the 1205 respondents, 45.3% (546) reported a high level of uncertainty stress. Multiple linear regression analysis indicated that anxiety (β=3.871,<0.001) and depression symptoms (β=2.458, <0.001), family residence (in towns or rural areas) (β=0.947,<0.001), lack of support for local epidemic control strategies (β=1.253,<0.001), worry about the pandemic (β=1.191,<0.001), and symptoms of weakness among family members (β=1.525,=0.002) were positively associated with perceived uncertainty stress. Cognitive social capital (β=-0.883,<0.001) and social networks (β=-0.726,<0.001) were negatively, but social participation (β=0.714,<0.001) was positively associated with perceived uncertainty stress. Our findings identify factors associated with a higher level of uncertainty stress and should be helpful in the consideration of effective policies and interventions for uncertainty stress during the initial phases of public health emergencies.
在新冠疫情期间,住院医师不确定性压力的患病率及风险因素仍不明确。开展了一项在线横断面调查,以探索和识别新冠疫情暴发期间中国普通公众中感知到的高不确定性压力的风险因素。收集并分析了受访者的社会经济特征、对新冠疫情的了解和态度、感知到的不确定性压力、社会资本、焦虑和抑郁症状等信息。在1205名受访者中,45.3%(546人)报告有高水平的不确定性压力。多元线性回归分析表明,焦虑(β=3.871,<0.001)、抑郁症状(β=2.458,<0.001)、家庭居住地(城镇或农村)(β=0.947,<0.001)、对当地疫情防控策略缺乏支持(β=1.253,<0.001)、对疫情的担忧(β=1.191,<0.001)以及家庭成员的虚弱症状(β=1.525,=0.002)与感知到的不确定性压力呈正相关。认知社会资本(β=-0.883,<0.001)和社会网络(β=-0.726,<0.001)与感知到的不确定性压力呈负相关,但社会参与(β=0.714,< 0.001)与感知到的不确定性压力呈正相关。我们的研究结果确定了与更高水平不确定性压力相关的因素,这应有助于在突发公共卫生事件初期考虑针对不确定性压力的有效政策和干预措施。