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刘丽霞, 蔡伟, 应华清, 赵鹏宇, 吴世超, 韩伟, 王建, 王如刚. 北京市居民应急知识水平现状及其影响因素分析[J]. 中国公共卫生, 2019, 35(9): 1196-1200. DOI: 10.11847/zgggws1119430
引用本文: 刘丽霞, 蔡伟, 应华清, 赵鹏宇, 吴世超, 韩伟, 王建, 王如刚. 北京市居民应急知识水平现状及其影响因素分析[J]. 中国公共卫生, 2019, 35(9): 1196-1200. DOI: 10.11847/zgggws1119430
Li-xia LIU, Wei CAI, Hua-qing YING, . Emergency knowledge and its influence factors among residents in Beijing, 2015[J]. Chinese Journal of Public Health, 2019, 35(9): 1196-1200. DOI: 10.11847/zgggws1119430
Citation: Li-xia LIU, Wei CAI, Hua-qing YING, . Emergency knowledge and its influence factors among residents in Beijing, 2015[J]. Chinese Journal of Public Health, 2019, 35(9): 1196-1200. DOI: 10.11847/zgggws1119430

北京市居民应急知识水平现状及其影响因素分析

Emergency knowledge and its influence factors among residents in Beijing, 2015

  • 摘要:
      目的  了解北京市居民应急知识水平现状及其影响因素,为提高公众应急能力建设提供更好的理论依据和决策依据。
      方法  2015年7 — 10月,采用多阶段抽样方法在北京市16个区县开展应急知识水平的调查,本次研究发放问卷11 052份,回收有效问卷11 006份,调查内容包括年龄、性别、职业、文化程度等社会人口学特征以及与应急知识相关的6个维度的问题。采用单因素方差分析、χ2检验和多因素logistic回归进行统计分析。
      结果  北京市区居民应急知识各维度得分率分别为:消化道传染病应急知识(0.76 ± 0.19)、自然灾害急救知识(0.76 ± 0.14)、禽流感应急知识(0.73 ± 0.21)、社会事件应急知识(0.72 ± 0.34)、呼吸道传染病应急知识(0.70 ± 0.14)和事故灾难急救知识(0.67 ± 0.16);方差分析结果显示,不同功能区域在各个应急知识维度的差异有统计学意义。多因素分析结果显示,居民应急知识得分率比较中,城市发展新区和生态涵养发展区相对于首都功能核心区OR值分别为0.720、0.820;相对于30~39岁人群,≤ 18岁、19~29岁、50~59岁和 ≥ 60岁人群OR值分别为0.426、0.711、0.627和0.560;相对于文化程度为小学及以下,高中/中专、大专和本科及以上OR值分别为3.084、3.791和4.600;相对于机关、企事业单位管理者,医务人员和专业技术人员OR值分别为2.561和1.709;对本地区传染病的关注程度中,相对于不关心,一般关心和非常关心的OR值分别为1.346和1.762;和家人讨论如何应对灾害事件的频率中,相对于从不,很少和经常的OR值分别为1.473和1.370。
      结论  行政分区、年龄、文化程度、职业、对本地区传染病的关注程度以及和家人讨论如何应对灾害事件的频率是影响应急知识得分率的因素。应进一步提高公众的应急水平和能力,加大应急演练的宣传力度,建立以社区为基础的培训体系。

     

    Abstract:
      Objective  To examine the status quo and influencing factors of emergency knowledge among residents in Beijing and to provide evidences for improving emergency response capacity among the public.
      Methods  We conducted a face-to-face questionnaire survey among 11 052 residents selected with multistage random sampling in 16 districts or counties of Beijing between July and October 2015. Information on demographics and awareness of 6 dimensions of emergency knowledge were collected. Analysis of variance (ANOVA) and chi-square for univariate analysis and binary logistic regression for multivariate analysis were adopted in data analyses.
      Results  Among the 11 006 valid respondents, the knowledge scores were 0.76 ± 0.19 for digestive tract infectious disease, 0.76 ± 0.14 for natural disaster knowledge, 0.73 ± 0.21 for bird flu, 0.72 ± 0.34 for social events, 0.70 ± 0.14 for respiratory infectious disease, and 0.67 ± 0.16 for accident disaster, respectively. ANOVA results demonstrated significant differences in the scores for various dimensions of emergency knowledge among the respondents from various functional districts of Beijing. The results of multivariate logistic regression analysis revealed that the respondents′ emergency knowledge scores were influenced by their residential region, age, education level, occupation, concern about local epidemic of infectious disease, and the frequency for having a discussion with family members on how to deal with a disaster event; the respondents from new urban development and ecological conservation development regions were likely to have a lower score compared to those from capital functional core region, with the odds ratio (OR) of 0.720 and 0.820; the respondents aged 18, 19 – 29, 50 – 59 and ≥ 60 years were likely to have a lower score compared to those aged 30 – 39 years, with the ORs of 0.426, 0.711, 0.627 and 0.560; the respondents with the education of senior high school/technical secondary school, junior college, and undergraduate were likely to have a higher score compared to those with the education of primary school and lower, with the ORs of 3.084, 3.791 and 4.600; the respondents being medical staff and technical personnel were likely to have a higher score than those being administers of government agency or enterprise and public institution, with the ORs of 2.561 and 1.709; the respondents reporting having concern and high concern about local epidemic of infectious disease were likely to have a higher score compared to those reporting not having concern about the epidemic, with the ORs of 1.346 and 1.762; and the respondents rarely and usually having a discussion with family members on how to deal with a disaster event were likely to have a higher score compared to those never having the discussion, with the ORs of 1.473 and 1.370, respectively.
      Conclusion  The awareness of emergency knowledge is influenced by residential region, age, education level, occupation, concern about local epidemic of infectious disease, and the frequency for having a discussion with family members on how to deal with a disaster event among the residents of Beijing. The emergency knowledge and management capacity should be improved in the public in Beijing.

     

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