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唐雨蓉, 韩茜宇, 唐思雨, 崔小倩, 樊凯盛, 宁宁, 郝艳华. 新冠疫情下公众应对行为潜在类别分析[J]. 中国公共卫生, 2021, 37(7): 1090-1095. DOI: 10.11847/zgggws1133937
引用本文: 唐雨蓉, 韩茜宇, 唐思雨, 崔小倩, 樊凯盛, 宁宁, 郝艳华. 新冠疫情下公众应对行为潜在类别分析[J]. 中国公共卫生, 2021, 37(7): 1090-1095. DOI: 10.11847/zgggws1133937
TANG Yu-rong, HAN Qian-yu, TANG Si-yu, . Response behaviors during COVID-19 epidemic among the public in China: a latent class analysis[J]. Chinese Journal of Public Health, 2021, 37(7): 1090-1095. DOI: 10.11847/zgggws1133937
Citation: TANG Yu-rong, HAN Qian-yu, TANG Si-yu, . Response behaviors during COVID-19 epidemic among the public in China: a latent class analysis[J]. Chinese Journal of Public Health, 2021, 37(7): 1090-1095. DOI: 10.11847/zgggws1133937

新冠疫情下公众应对行为潜在类别分析

Response behaviors during COVID-19 epidemic among the public in China: a latent class analysis

  • 摘要:
      目的  了解新冠疫情之下公众应对行为情况,探讨公众应对行为潜在类别及其影响因素,为疫情防控中公众行为干预提供依据。
      方法  于2020年8月采用自制问卷对全国31个省市自治区的19132名公众进行网络调查,应用潜在类别分析方法对公众的应对行为进行分析,使用SPSS软件考察不同类别的影响因素。
      结果  公众总体应对行为良好,尤其在戴口罩(94.7 %)、勤洗手(94.4 %)、居家隔离(86.2 %)等方面,但也存在过度防护问题,如在室外空旷环境规范佩戴口罩(77.6 %)、反复洗手(41.3 %)、高频大量消毒(27.2 %)、预防性服药(25.9 %)等。经潜类别分析,将公众的应对行为分为3个潜类:戒备型(23 %)、冷静型(67.8 %)、无畏型(9.2 %)。进一步分析发现,相对于冷静型人群,非医疗职业者(OR = 1.293)更容易成为戒备型人群;而男性(OR = 1.626)、无业者(OR = 1.591)、农村公众(OR = 1.218)更容易成为无畏型人群;低文化程度、中青年人、高收入群体、低风险地区的公众更容易形成两端极化行为。
      结论  疫情之下公众的应对行为存在明显潜类别,行为成簇出现且比例不同。低文化程度、中青年人、高收入群体、低风险地区的公众均易出现过度戒备或松懈的极化行为,男性、无业者、农村地区公众易采取无畏型行为,这两类人群是疫情行为干预的重点人群。

     

    Abstract:
      Objective  To examine the prevalence, characteristics and influencing factors of response behaviors towards coronavirus disease 2019 (COVID-19) epidemic among the public in China for providing evidences to the development of relevant behavioral interventions.
      Methods  During August 2020, we conducted an online voluntary survey among 19 132 adult (≥ 18 years) internet users in 31 provincial level regions across China with a self - designed questionnaire. Latent class analysis was adopted to describe the characteristics of response behaviors reported by the respondents and SPSS software was used to analyze influencing factors of the behaviors.
      Results  Mask wearing, frequent hand washing, and home isolation were reported by 94.7%, 94.4%, and 86.2% of the respondents, indicating a general response behavior of the public. But excessive protective behaviors were also reported by many respondents, including regular mask wearing in an outdoor environment (by 77.6% of the respondents), repeated hand washing (41.3%), frequent mass disinfection (27.2%), and preventive medication (25.9%). The results of latent class analysis revealed three potential types of respondents' behavioral pattens, namely alertness, calmness, and fearlessness and the proportions of the respondents with the three styles were 23.0%, 67.8%, 9.2%, respectively. The results of logistic regression analysis showed that the respondents with the occupations other than medical workers are more likely to behave in an alertness pattern (odds ratio OR = 1.293) than in a calmness pattern; while, following respondents are more likely to behave in fearlessness pattern: male gender (OR = 1.626), being unemployed (OR = 1.591), and living in rural regions (OR = 1.218); the results also indicated that the respondents with low education level, at middle or young age, with a high income, and residing in regions with low risk of COVID - 19 epidemic are more likely to take extreme response behaviors.
      Conclusion  There are prominent latent types of public response behaviors towards COVID - 19 epidemic and the response behaviors appear in clustering with different proportions. People with lower education, at middle or young age, with high income, and residing in low - risk areas are prone to behave in extremely alert or fearless manner, suggesting that the two groups are key population needing relevant behavioral interventions.

     

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