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李佳圆, 栾荣生, 吴德生, 罗艳. 我国生殖内分泌肿瘤的时间及地理分布研究[J]. 中国公共卫生, 2003, 19(9): 1038-1040.
引用本文: 李佳圆, 栾荣生, 吴德生, 罗艳. 我国生殖内分泌肿瘤的时间及地理分布研究[J]. 中国公共卫生, 2003, 19(9): 1038-1040.
LI Jia-yuan, LUAN Rong-sheng, WU De-sheng, . Study on time and geography distribution of reproduction-endocrine related tumors in China[J]. Chinese Journal of Public Health, 2003, 19(9): 1038-1040.
Citation: LI Jia-yuan, LUAN Rong-sheng, WU De-sheng, . Study on time and geography distribution of reproduction-endocrine related tumors in China[J]. Chinese Journal of Public Health, 2003, 19(9): 1038-1040.

我国生殖内分泌肿瘤的时间及地理分布研究

Study on time and geography distribution of reproduction-endocrine related tumors in China

  • 摘要:
      目的   分析我国女性乳腺癌、卵巢癌, 男性前列腺癌以及睾丸肿瘤死亡率的时间变化趋势和地区分布特点。
      方法   收集全国慢性病死亡监测系统145个监测点1991~1999年上述4类肿瘤死亡的监测数据, 运用GM(1, 1)法拟合及预测肿瘤的时间变化趋势; 收集1999年度全国31个省、自治区及直辖市的粮食总产量和工业废水、废气和固体废物排放总量资料, 用K-means聚类分析方法对地区进行分类; 运用方差分析法比较各分类地区的内分泌肿瘤死亡密度。
      结果   全国乳腺癌死亡率随监测时间呈上升趋势, GM(1, 1)模型为: ŷ(t+1)=(1.529+47.29)e0.0274T-47.29;工业污染重的地区乳腺癌死亡率显著高于污染轻的地区(P < 0.05);粮食产量高和工业污染重的地区乳腺癌死亡率随监测时间呈上升趋势。
      结论   我国乳腺癌可能与外环境工农业污染有关, 尤其可能与环境内分泌干扰物(EDCs)污染有关。

     

    Abstract:
      Objective   To analyze time trend and area distribution of mortalities of female breast cancer, ovaries tumors, prostate tumor and testicular cancer in China.
      Methods   Surveillance mortality data of breast cancer, female ovaries tumor, prostate tumor and testicular cancer from 1991 to 1999 on 145 surveillance spots were collected through Chinese disease surveillance system.Grey model(GM(1, 1))was used to analyze time trend of these four cancers.Data of total grain output and total quantsity of sewage water, exhaust gas and solid waste discharged from industrial production of all the 31 provinces of China in 1999 were collected.K-means cluster analysis was used to classify the provinces.ANOVA was used to analyze different mortalities between the classified areas.
      Results   The surveillance rate of br east cancer in China incr eased according to surveillance years, and the GM(1, 1)was ŷ(t+1)=(1.529+47.29)e0.0274T-47.29.In those areas where industrial pollution was serious, mortalities of breast cancer were significant higher than other areas.In those areas where grain output was highor industrial pollution was serious, mortalities of breast cancer showed an increasing trend along with years.
      Conclusion   Breast cancer may be related to industry and agriculture pollution in our country, and environmental endocrine disrupting chemicals may play an imporant role in breast cancer.

     

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