顾源,何尚浦,施侣元,安莲珍,李国光,朱康民,尹祖善,王兆旭,熊天寿.城区和煤矿区居民女性乳腺癌人群归因危险度的分析及比较[J].Chinese journal of Epidemiology,1996,17(2):102-104 |
城区和煤矿区居民女性乳腺癌人群归因危险度的分析及比较 |
Analysis of Population Attributable Risk of Breast Cancer in Urban and Mining Districts Inhabitants |
Received:April 20, 1995 Revised:August 28, 1995 |
DOI: |
KeyWord: 乳腺癌 Logistic回归模型 危险因素 人群归因危险度 |
English Key Word: Breast cancer Logistic regression Risk factor Population attributable risk |
FundProject: |
Author Name | Affiliation | Gu Yuan | Department of Epidemiology, Tongji Medical University, Wuhan 430030 | He Shang-pu | Department of Epidemiology, Tongji Medical University, Wuhan 430030 | Shi Lu-yuan | Department of Epidemiology, Tongji Medical University, Wuhan 430030 | 安莲珍 | 平顶山矿务局卫生处 | 李国光 | Department of Epidemiology, Tongji Medical University, Wuhan 430030 | 朱康民 | Department of Epidemiology, Tongji Medical University, Wuhan 430030 | 尹祖善 | 襄樊市卫生防疫站 | 王兆旭 | 老河口市卫生防疫站 | 熊天寿 | 随州市卫生防疫站 |
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Abstract: |
为研究城区与煤矿区居民女性乳腺癌的危险因素,1986至1993年在湖北省武汉、襄樊、随州、老河口、荆沙等五城区,1991至1994年在河南省平顶山煤矿区先后开展了1:2配比的病例对照病因研究。多因素条件Logistic回归分析与人群归因危险度分析表明,城区居民乳腺癌主要的危险因素为乳腺良性病史、生育胎数少、初产年龄晚;相应的调整人群归因危险度(PARs)分别为0.3917、0.3564、0.1414;三因素综合人群归因危险度(PAR)为0.7419。煤矿区居民主要危险因素为乳腺良性病史、生育胎数少、月经紊乱、乳癌家族史;相应的PARs分别为0.1487、0.4781、0.1282、0.0791;综合PAR为0.6952。并对其公共卫生意义进行了探讨。 |
English Abstract: |
In order to study the risk factors associated with female breast cancer, two 1:2 matched case-control studies were conducted from 1986 to 1993 in five cities in Hubei province and from 1991 to 1994 in Pingdingshan coal mining districts in Henan province. The results of multivariate conditional logistic regression analysis showed that history of breast diseases, number of births, age of first birth were major risk factors for breast cancer in urban inhabitants. Their adjusted attributable risks (PARs)were 0.3917, 0.3564, 0.1414 respectively. The combined population attributable risks (PAR) for the three factors was 0.7419. History of breast diseases, number of births, menstrual disorder, family history of breast cancer were major risk factors in the Mining districts. Their PARs were 0.1487, 0.4781, 0.1282, 0.0791 respectively. PAR for four factors was 0.6952. |
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