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农村居民的疾病和减寿年影响因素分析 被引量:1

Multiple Analysis on Population Diseases and Potential Years of Life Lost in Rural Area
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摘要 本文用Logistic回归模型对影响农村居民急、慢性疾病的因素进行多因素分析,并用减寿年和减寿年指标来定量描述危害农村居民健康的程度。分析结果表明:影响农村居民急性疾病的主要因素是饮水类型(OR=3.968 P=0.0001);影响慢性疾病的主要因素是乡镇企业环境污染(OR=2.218 P=0.0001)、饮水类型(OR=1.635 P=0.0028)、经济收入(OR=1.534 P=0.0001)、燃料类型(OR=1.427 P=0.0047)、吸烟(OR=1.400 P=0.0028)和职业毒物接触(OR=1.397 P=0.0183)。乡镇企业集中区人群标化死亡率、减寿率均明显高于对照区,尤其是0~5岁的儿童,其标化减寿率为3404.80‰,标化减寿率比为4.04。 This PaPer aPPlied Logistic regression model to multiple analysis of acute and chornic dieases,and PYLLR to life lost estimation of death in rural area. The results show that the main affecting factors are drinking water(OR = 3.968 P = 0.0001) in acute diseases, and environmental Pollution of town and township enterprises ( OR = 2.218 P = 0.0001), drinking water(OR = 1.635 P = 0.0028), economic income (OR = 1.534 P = 0.0001 ) , fuel(OR = 1.427 P = 0.0047), smoking ( OR = 1.400 P = 0.0028 ) and occuPa-tional poison exPose ( OR = 1.397 P = 0.0183) in chronic diseases. The SMR and SPYL-LR in contrative area of town and township enterprises arc higher than the control significantly, especially the children ( 0-5 agegrouP ) , the SPYLLR is 3404.80‰ the Ratio of SPYLLR is 4.04.
出处 《环境与健康杂志》 CAS CSSCI CSCD 北大核心 1992年第4期158-162,共5页 Journal of Environment and Health
关键词 农村 健康 减寿年 LOGISTIC回归 Rural area Health Logistic regression model Potential years of life lost
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