栗俊青, 杨继美, 翟丽雪, 张明珠, 王欣娅, 王茜, 赵诚. 环境污染对农村地区女性乳腺结节发病的影响[J]. 环境卫生学杂志, 2021, 11(1): 44-48. DOI: 10.13421/j.cnki.hjwsxzz.2021.01.009
    引用本文: 栗俊青, 杨继美, 翟丽雪, 张明珠, 王欣娅, 王茜, 赵诚. 环境污染对农村地区女性乳腺结节发病的影响[J]. 环境卫生学杂志, 2021, 11(1): 44-48. DOI: 10.13421/j.cnki.hjwsxzz.2021.01.009
    LI Junqing, YANG Jimei, ZHAI Lixue, ZHANG Mingzhu, WANG Xinya, WANG Qian, ZHAO Cheng. Impact of Environmental Pollution on Female Breast Nodular Diseases in Rural Areas[J]. Journal of Environmental Hygiene, 2021, 11(1): 44-48. DOI: 10.13421/j.cnki.hjwsxzz.2021.01.009
    Citation: LI Junqing, YANG Jimei, ZHAI Lixue, ZHANG Mingzhu, WANG Xinya, WANG Qian, ZHAO Cheng. Impact of Environmental Pollution on Female Breast Nodular Diseases in Rural Areas[J]. Journal of Environmental Hygiene, 2021, 11(1): 44-48. DOI: 10.13421/j.cnki.hjwsxzz.2021.01.009

    环境污染对农村地区女性乳腺结节发病的影响

    Impact of Environmental Pollution on Female Breast Nodular Diseases in Rural Areas

    • 摘要:
      目的 探究环境污染对农村地区女性乳腺结节发病的影响。
      方法 对2019年7—9月山东省济南市农村地区参加"两癌"(乳腺癌和宫颈癌)筛查的女性采用高频超声进行乳腺超声检查,筛查出患有乳腺结节疾病的人群;实地调查被研究女性的居住环境,对居住地环境污染暴露情况进行评估。结合超声检查数据和环境污染相关数据进行统计学分析探讨环境污染与乳腺结节疾病之间的关系。
      结果 该研究选取的4 082名农村妇女中,乳腺超声结果为乳腺结节(BIRADSⅢ~Ⅴ级)的检出率为9.6%(390/4 082)。受检者年龄、居住地距市区远近、周边是否有煤矿、电厂等大型污染型企业、周边是否有污染型小企业、居住地周边是否有主要交通干道、居住地是否为集市等人口聚集地,乳腺结节检出率的组间差异有统计学意义(χ2值分别为92.27、11.60、23.92、8.60、19.88和6.34,P < 0.05);多因素的Logistic回归分析显示受检者年龄增加、居住地周边有煤矿、电厂等重型污染型企业、居住地周边有交通主干道为乳腺结节疾病的危险因素,OR(95%CI)值分别为4.68(2.97,7.38)、1.36(1.02,1.80)和1.35(1.04,1.75)。
      结论 济南市农村地区女性乳腺结节疾病的检出率较高,环境污染是当地乳腺结节疾病的危险因素。

       

      Abstract:
      Objective To investigate the impact of environmental pollution on female breast nodular diseases in rural areas.
      Methods High-frequency ultrasound was used to perform breast ultrasound examination for the women who participated in the screening of "Two Cancers" (breast cancer and cervical cancer) in the rural areas of Jinan, Shandong province, China from July to September, 2019. The women with breast nodular diseases were screened out, and an on-the-spot investigation was performed to observe their living environment and evaluate the exposure to environmental pollution in the living place. A statistical analysis was performed for ultrasound data and environmental pollution data to explore the association between environmental pollution and breast nodular diseases.
      Results Among the 4 082 rural women in this study, 390 were diagnosed with breast nodular diseases (BIRADS Ⅲ-Ⅴ) by breast ultrasound, with a detection rate of 9.6%. There were significant differences in the detection rate of breast nodular diseases between the groups with different ages, distances between the places of residence and the city, presence or absence of large polluting enterprises such as coal mines and power plants, presence or absence of small polluting enterprises, presence or absence of major traffic roads around the places of residence, or presence or absence of markets (χ2 were 92.27, 11.60, 23.92, 8.60, 19.88, and 6.34, respectively, P < 0.05). The multivariate logistic regression analysis showed that increased age (OR=4.68, 95%CI: 2.97-7.38), presence of heavy polluting enterprises such as coal mines and power plants near the place of residence (OR=1.36, 95%CI: 1.02-1.80), and presence of major traffic roads near the places of residence (OR=1.35, 95%CI: 1.04-1.75) were risk factors for breast nodular diseases.
      Conclusion There is a high detection rate of breast nodular diseases in women from the rural areas of Jinan, and environmental pollution is a risk factor for breast nodular diseases.

       

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