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刘艳妮, 郝艳华, 王子予, 刘媛, 潘天一, 朱逸飞. 新冠病毒感染疫情背景下公众大流行疲劳情况及影响因素[J]. 中国公共卫生, 2023, 39(4): 409-414. DOI: 10.11847/zgggws1141011
引用本文: 刘艳妮, 郝艳华, 王子予, 刘媛, 潘天一, 朱逸飞. 新冠病毒感染疫情背景下公众大流行疲劳情况及影响因素[J]. 中国公共卫生, 2023, 39(4): 409-414. DOI: 10.11847/zgggws1141011
LIU Yanni, HAO Yanhua, WANG Ziyu, . Prevalence and influencing factors of pandemic fatigue during normalized COVID-19 containment among the public in China: an online cross-sectional survey[J]. Chinese Journal of Public Health, 2023, 39(4): 409-414. DOI: 10.11847/zgggws1141011
Citation: LIU Yanni, HAO Yanhua, WANG Ziyu, . Prevalence and influencing factors of pandemic fatigue during normalized COVID-19 containment among the public in China: an online cross-sectional survey[J]. Chinese Journal of Public Health, 2023, 39(4): 409-414. DOI: 10.11847/zgggws1141011

新冠病毒感染疫情背景下公众大流行疲劳情况及影响因素

Prevalence and influencing factors of pandemic fatigue during normalized COVID-19 containment among the public in China: an online cross-sectional survey

  • 摘要:
      目的  了解新冠病毒感染疫情防控常态化期间公众大流行疲劳情况及其影响因素。
      方法  于2021年2 — 3月对中国5省(直辖市)4325名 ≥ 18 周岁的人群进行网络问卷调查,调查内容包括个人基本信息、风险感知、防护行为、情绪状态、大流行疲劳情况,利用SPSS 22.0对调查对象基本信息和疲劳情况进行描述性分析,并采用χ2检验、logistic回归对大流行疲劳影响因素进行分析。
      结果  1082人存在大流行疲劳情况,占调查人群的25.0%,其中单存在心身疲劳情况1844人(42.6%),单存在信息疲劳情况1050人(24.3%)。健康状况差(OR = 1.838,P < 0.05,95%CI = 1.575~2.144)、认为疫情易感性强(OR = 1.435,P < 0.05,95%CI = 1.236~1.667)、可控性差(OR = 1.760,P < 0.05,95%CI = 1.495~2.070)、消极情绪程度高(OR = 3.493,P < 0.05,95%CI = 2.987~4.086)的公众更容易形成大流行疲劳。
      结论  公众存在一定的大流行疲劳现象,健康状况、疫情可控性和易感性程度、消极情绪是造成公众大流行疲劳的主要因素。

     

    Abstract:
      Objective  To investigate the prevalence of pandemic fatigue and its associates during the period of normalized containment of coronavirus diease 2019 (COVID-19) among the public in China.
      Methods  Through an online survey platform ‘Wenjuanxing’ and with self-designed questionnaires on demographics, COVID-19-related risk perception, protective behaviors, negative emotion, and pandemic fatigue, we conducted a self-administered survey during February – March 2021 among web users aged 18 years and above in five provincial level administrative divisions across China. The collected data were analyzed with descriptive statistics, chi-square test and logistic regression analysis.
      Results   Of 4 325 participants with eligible responses, 1 082 (25.0%) reported pandemic fatigue symptoms; 1 844 (42.6%) reported only having psychosomatic fatigue and 1 050 (24.3%) only having information fatigue. The results of logistic regression analysis revealed that the participants with following characteristics were more likely to have pandemic fatigue symptoms: with poor health status (odds ratio OR = 1.838, 95% confidence interval 95%CI: 1.575 – 2.144), having a higher perceived susceptibility to COVID-19 (OR = 1.435, 95%CI: 1.236 – 1.667), having a lower perceived controllability of COVID-19 (OR = 1.760, 95%CI: 1.495 – 2.070), and with highly negative emotion (OR = 3.493, 95%CI: 2.987 – 4.086).
      Conclusion   Pandemic fatigue symptoms were prevalent during the period of COVID-19 containment and the symptoms were associated with self-reported health status, perceived controllability and susceptibility of COVID-19, and negative emotion among adult web users in China.

     

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