李春雨,崔小波,饶英生.2001-2008年北京市居民被动吸烟情况分析[J].Chinese journal of Epidemiology,2013,34(6):658-659 |
2001-2008年北京市居民被动吸烟情况分析 |
Analysis on the rate of passive smoking in Beijing residents from 2001 to 2008 |
Received:November 15, 2012 |
DOI:10.3760/cma.j.issn.0254—6450.2010.10.029 |
KeyWord: 被动吸烟率 社区居民 |
English Key Word: Passive smoking rate Residents |
FundProject:国家自然科学基金(30960328) |
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Abstract: |
吸烟产生的支流烟雾中尼古丁等有害物质的含量是主流烟雾的5.1倍,主要由被动吸烟者吸入.被动吸烟越来越引起社会各界的关注,已被确认是患肺癌、冠心病、成人慢性呼吸系统疾病和儿童哮喘等疾病的危险因素[1].主动吸烟的危害已为大多数公众所知,但被动吸烟的危害及在我国目前的严重状况,应当引起公众的普遍关注. |
English Abstract: |
Objective Through introduction of principal theory and algorithm of propensity score to design SAS macro programs for binary data.Methods Propensity score method was used to compare the differences of character variables between two groups, and the association of DNR (Do Not Resuscitate) with the mortality of congestive heart failure was evaluated with different methods.Results Significant differences among the character variables between two groups were effectively balanced with stratification or matching method. The odds ratios of DNR with the in-hospital mortality rate of congestive heart failure were estimated identical with different algorithms and to find that the association of DNR to in-hospital mortality was highly significant. Conclusions Propensity score was a good algorithm that could be used to analyze any kind of observational data for matching the effects among the character variables. |
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