中国妇女乳腺癌发病率的空间模式和环境驱动因素
Wenhui Wang1, Yu Wang1, Xin Qi2
1Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
概括
在中国妇女中,乳腺癌发病率很高. 高社会经济地位,空气污染,风速和低植被被确定为关键风险因素,特别是在中国东部和中部.
科学领域:
- 环境流行病学环境流行病学
- 空间分析是一种空间分析.
- 癌症研究 癌症研究
背景情况:
- 乳腺癌 (BC) 是中国女性最常见的癌症.
- 关于中国BC的空间模式和环境影响的研究有限.
- 之前的研究通常集中在小区域或有限数量的风险因素上.
研究的目的:
- 想象和分析中国妇女乳腺癌发病率 (BCI) 的空间模式.
- 确定和探索与BCI相关的环境驱动因素.
- 为BC病因和有针对性的查策略提供证据.
主要方法:
- 空间可视化和空间自相关分析BCI数据 (2012-2016).
- 单变量相关性分析和地理探测器模型来探索环境驱动因素.
- 评估因素包括城市化率 (UR),人均GDP (PGDP),学业平均年数 (AYSA),年平均风速 (WIND),PM$_{10}$,NO$_{2}$和正常化差异植被指数 (NDVI).
主要成果:
- 公元前高发病率群集中在中国东部和中部 (如宁,河北,山东,河南,安).
- 深的BCI与其他县相比显著更高.
- UR,PGDP,AYSA和WIND对BCI空间变异性表现出显著的解释能力.
- PM$_{10}$,NO$_{2}$和GDP对其他因素表现出非线性增强效应.
- NDVI与BCI有负相关性.
结论:
- 高社会经济地位,空气污染,高风速和低植被被确定为中国妇女乳腺癌的危险因素.
- 这些发现支持BC病因学研究和精确识别需要集中查的领域.
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