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首页> 外文期刊>JMIR public health and surveillance. >Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study
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Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study

机译：Covid-19大流行病，网络核植物，抑郁，焦虑，压力和锁定经验的感知严重程度之间的关联：横断面调查研究

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Background The outbreak of the COVID-19 pandemic has caused great panic among the public, with many people suffering from adverse stress reactions. To control the spread of the pandemic, governments in many countries have imposed lockdown policies. In this unique pandemic context, people can obtain information about pandemic dynamics on the internet. However, searching for health-related information on the internet frequently increases the possibility of individuals being troubled by the information that they find, and consequently, experiencing symptoms of cyberchondria. Objective We aimed to examine the relationships between people’s perceived severity of the COVID-19 pandemic and their depression, anxiety, and stress to explore the role of cyberchondria, which, in these relationship mechanisms, is closely related to using the internet. In addition, we also examined the moderating role of lockdown experiences. Methods In February 2020, a total of 486 participants were recruited through a web-based platform from areas in China with a large number of infections. We used questionnaires to measure participants’ perceived severity of the COVID-19 pandemic, to measure the severity of their cyberchondria, depression, anxiety, and stress symptoms, and to assess their lockdown experiences. Confirmatory factor analysis, exploratory factor analysis, common method bias, descriptive statistical analysis, and correlation analysis were performed, and moderated mediation models were examined. Results There was a positive association between perceived severity of the COVID-19 pandemic and depression (β=0.36, t=8.51, P.001), anxiety (β=0.41, t=9.84, P.001), and stress (β=0.46, t=11.45, P.001), which were mediated by cyberchondria (β=0.36, t=8.59, P.001). The direct effects of perceived severity of the COVID-19 pandemic on anxiety (β=0.07, t=2.01, P=.045) and stress (β=0.09, t=2.75, P=.006) and the indirect effects of cyberchondria on depression (β=0.10, t=2.59, P=.009) and anxiety (β=0.10, t=2.50, P=.01) were moderated by lockdown experience. Conclusions The higher the perceived severity of the COVID-19 pandemic, the more serious individuals’ symptoms of depression, anxiety, and stress. In addition, the associations were partially mediated by cyberchondria. Individuals with higher perceived severity of the COVID-19 pandemic were more likely to develop cyberchondria, which aggravated individuals’ depression, anxiety, and stress symptoms. Negative lockdown experiences exacerbated the COVID-19 pandemic’s impact on mental health.
机译：背景技术Covid-19大流行的爆发在公众之间引起了极大的恐慌，许多人患有不良压力反应。为了控制大流行的传播，许多国家的政府都有锁定政策。在这种独特的大流行环境中，人们可以在互联网上获取有关大流行性动态的信息。然而，在互联网上寻找与健康有关的信息经常增加个人陷入困境的可能性，他们发现的信息，因此，经历了网络换网症的症状。目标我们旨在审查人们对Covid-19大流行和抑郁，焦虑，压力的感知严重程度之间的关系，以探讨网络跨越的作用，在这些关系机制中，与使用互联网密切相关。此外，我们还审查了锁定体验的调节作用。方法2月2020年2月，通过基于网络的平台从中国的地区招募了486名参与者，大量感染。我们使用调查问卷来衡量参与者的Covid-19流行病的感知严重程度，以衡量他们的网络换网，抑郁，焦虑和压力症状的严重程度，并评估他们的锁定体验。进行验证因子分析，探索因子分析，常见方法偏差，描述性统计分析和相关分析，并检查了调节中介模型。结果Covid-19大流行和抑郁症的感知严重程度之间存在阳性关联（β= 0.36，T = 8.51，P＆ .001），焦虑（β= 0.41，T = 9.84，P＆ .001）和压力（β= 0.46，T = 11.45，p＆ .001），其被核心核细胞介导（β= 0.36，T = 8.59，P＆ .001）。 Covid-19焦虑的感知严重程度的直接影响（β= 0.07，T = 2.01，p = .045）和应力（β= 0.09，T = 2.75，P = .006）以及Cyber​​ Chondria的间接影响通过锁定经验调节抑郁症（β= 0.10，T = 2.59，P = 2.59）和焦虑（β= 0.10，T = 2.50，P = .01）。结论Covid-19大流行的感知严重程度越高，抑郁，焦虑和压力的严重症状。此外，关联部分由Cyber​​chondria部分介导。具有较高的Covid-19大流行严重程度的个人更有可能开发胞质换网，加剧了个体的抑郁，焦虑和压力症状。负锁定经历加剧了Covid-19大流行对心理健康的影响。

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