文章摘要
高景宏,张永,王君,陈华洁,张桂斌,刘小波,吴海霞,李京,李静,刘起勇.北京市常住居民对低碳减排健康共益认知的现况调查[J].中华流行病学杂志,2017,38(5):621-624
北京市常住居民对低碳减排健康共益认知的现况调查
Awareness of health co-benefits of carbon emissions reduction in urban residents in Beijing: a cross-sectional survey
收稿日期:2016-11-04  出版日期:2017-05-18
DOI:10.3760/cma.j.issn.0254-6450.2017.05.012
中文关键词: 低碳减排  健康共益  认知评估  横断面调查
英文关键词: Carbon emission reduction  Health co-benefits  Awareness assessment  Cross- sectional study
基金项目:中国繁荣战略基金(15LCI1);国家重大科学研究计划(973 计划)(2012CB955504)
作者单位E-mail
高景宏 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室  
张永 100013 北京市疾病预防控制中心环境卫生所  
王君 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室  
陈华洁 100013 北京市疾病预防控制中心环境卫生所  
张桂斌 100013 北京市疾病预防控制中心环境卫生所  
刘小波 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室  
吴海霞 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室  
李京 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室
250012 济南, 山东大学公共卫生学院流行病学系 
 
李静 102200 北京市昌平区疾病预防控制中心环境卫生科  
刘起勇 102206 北京, 中国疾病预防控制中心传染病预防控制所媒介生物控制室 传染病预防控制国家重点实验室 liuqiyong@icdc.cn 
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中文摘要:
      目的 评估北京市常住居民对低碳减排健康共益的认知及其影响因素。方法 从北京市房山、海淀、怀柔和东城区分别随机抽取一个社区开展问卷调查,样本量通过Kish-Leslie公式计算,根据目标人群各年龄、性别分组的比例,分别在各社区选取相同性别和年龄比例的90份样本进行调查,采用 χ2检验和有序logistic回归分析研究变量。结果 在369名调查对象中,熟悉低碳减排健康共益者为12.7%。年龄(OR=0.98)、对气候变暖的态度(OR=0.72)、家庭人均月收入(OR=1.27)、对空气污染的态度(OR=1.59)和低碳生活方式(OR=2.36)等,是影响调查对象低碳减排健康共益认知的重要因素。结论 对低碳减排健康共益的认知,受社会人口学特征(年龄、家庭收入),对气候变暖、空气污染的态度及低碳生活方式等因素的影响,在制定和实施低碳减排的舆论宣传、政策措施时,应考虑纳入这些因素。
英文摘要:
      Objective To understand the awareness of the health co-benefits of carbon emission reduction in urban residents in Beijing and the influencing factors, and provide information for policy decision on carbon emission reduction and health education campaigns. Methods Four communities were selected randomly from Fangshan, Haidian, Huairou and Dongcheng districts of Beijing, respectively. The sample size was estimated by using Kish-Leslie formula for descriptive analysis. 90 participants were recruited from each community. χ2 test was conducted to examine the associations between socio-demographic variables and individuals' awareness of the health co-benefits of carbon emission reduction. Ordinal logistic regression analysis was performed to investigate the factors influencing the awareness about the health co-benefits. Results In 369 participants surveyed, 12.7% reported they knew the health co-benefits of carbon emission reduction. The final logistic regression analysis revealed that age (OR=0.98), attitude to climate warming (OR=0.72) and air pollution (OR=1.59), family monthly average income (OR=1.27), and low carbon lifestyle (OR=2.36) were important factors influencing their awareness of the health co-benefits of carbon emission reduction. Conclusion The awareness of the health co-benefits of carbon emissions reduction were influenced by people' socio-demographic characteristics (age and family income), concerns about air pollution and climate warming, and low carbon lifestyle. It is necessary to take these factors into consideration in future development and implementation of carbon emission reduction policies and related health education campaigns.
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