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和红, 郝思琪, 谈甜, 曾巧玲, 刘思园. 北京市城区居民环境意识及影响因素路径分析[J]. 中国公共卫生, 2019, 35(9): 1178-1182. DOI: 10.11847/zgggws1119663
引用本文: 和红, 郝思琪, 谈甜, 曾巧玲, 刘思园. 北京市城区居民环境意识及影响因素路径分析[J]. 中国公共卫生, 2019, 35(9): 1178-1182. DOI: 10.11847/zgggws1119663
Hong HE, Si-qi HAO, Tian TAN, . Environmental awareness and its influencing factors among urban residents in Beijing: a path analysis[J]. Chinese Journal of Public Health, 2019, 35(9): 1178-1182. DOI: 10.11847/zgggws1119663
Citation: Hong HE, Si-qi HAO, Tian TAN, . Environmental awareness and its influencing factors among urban residents in Beijing: a path analysis[J]. Chinese Journal of Public Health, 2019, 35(9): 1178-1182. DOI: 10.11847/zgggws1119663

北京市城区居民环境意识及影响因素路径分析

Environmental awareness and its influencing factors among urban residents in Beijing: a path analysis

  • 摘要:
      目的  了解北京市城区居民环境意识现状及影响因素的作用机制,为提高居民环境意识和实现“全民健康”目标提供理论依据。
      方法  采用配额抽样方法,于2017年3 — 5月抽取北京市城区 ≥ 16岁2 096名居民进行环境意识和健康问题认知调查,并对所得数据进行影响因素及路径分析。
      结果  北京市城区居民环境意识平均得分为76.29分,其中环境态度较好,为89.23分,但环境知识和行为相对较低,分别为71.52和68.13分。不同年龄、户口所在地、婚姻状况、受教育程度、职业分类、健康自评状况、体检频率的居民间环境意识的差异均有统计学意义(P < 0.05);多因素线性回归及路径分析表明,年龄、受教育程度、职业分类、健康自评状况和体检频率可通过环境知识、环境态度和环境行为不同程度间接影响环境意识。其中,环境知识路径系数为0.584,对环境意识的影响最大。
      结论  居民的不同人口学特征及知信行对环境意识的影响不同,可采取针对性的措施促进居民环境意识的提高,从而有益于全民健康目标的实现。

     

    Abstract:
      Objective  To examine the status of environmental awareness and affective mechanism of its impact factors among urban residents in Beijing to provide a theoretical basis for improving residents′ environmental awareness and fulfilling the goal of health for all.
      Methods  Using the quota sampling, 2 096 residents aged 16 years and over in urban areas of Beijing were selected in March – May 2017 for a questionnaire survey on environmental awareness and health issues. Path analysis was adopted to explore influencing factors of the awareness.
      Results  For all the participants, the average overall score of environmental awareness was 76.29, with a higher domain score of 89.23 for environmental attitude and lower domain scores of 71.52 and 68.13 for environmental knowledge and behavior. The overall environmental awareness score differed significantly by age, registered residence, marital status, education, occupation, self-rated health status, and frequency of physical examination among the participants (all P < 0.05). Multivariate linear regression and path analysis revealed that age, education, occupation, self-rated health status, and frequency of physical examination affect environmental awareness indirectly in various degree through environmental knowledge, attitude, and behavior, of which, environmental knowledge was of the greatest impact on environmental awareness, with a path coefficient of 0.584.
      Conclusion  The environmental awareness is influenced by demographic characteristics and environmental knowledge-attitude-practice among urban residents in Beijing, suggesting that targeted interventions may improve environmental awareness in the population for the realization of health for all.

     

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