Gao Yang, Zhang Mengqi, Liu Guangyuan, Lin Huiyue, Huang Hong, Xie Hongli
School of Public Health, Fudan University, Shanghai, China.
School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, China.
Sci Rep. 2025 Jul 1;15(1):21813. doi: 10.1038/s41598-025-07200-5.
Environmental factors have known to cause lung cancer. However, the relationship between lung cancer and the environmental factors are not well explored or quantified. Using Zhejiang Province of China as a case study, the spatiotemporal distribution of lung cancer and associated environmental factors were investigated. The data of lung cancer were obtained from Zhejiang Cancer Registry Annual Report and China Cancer Registry Annual Report from 2000 to 2022. The environmental factors are derived from China County Statistical Yearbook and so on. The JoinPoint, SaTScan, spatial autocorrelation technologies and spatial regression models were used to investigate the spatiotemporal clustering, spatial distribution characteristics analysis and correlation of environmental factors of lung cancer. The incidences of lung cancer in Zhejiang Province increased over time, most incidences occurred in the north and became less so in the south of the province, showing a spatial aggregation distribution. The increase of urbanization rate has increased the incidence of lung cancer, and the proportion of environment-related lung adenocarcinoma has increased year by year. The spatial regression model showed that the incidence of lung cancer was negatively correlated with vegetation index, and positively correlated with annual average per capita GDP. There was spatial heterogeneity in the distribution of lung cancer incidence in Zhejiang Province, China, and the areas with high incidence were located in areas with high degree of industrialization and urbanization. Vegetation and urbanization rate have an impact on the incidence of lung cancer.
已知环境因素会导致肺癌。然而,肺癌与环境因素之间的关系尚未得到充分探索或量化。以中国浙江省为例,对肺癌的时空分布及相关环境因素进行了调查。肺癌数据来自2000年至2022年的《浙江省癌症登记年报》和《中国癌症登记年报》。环境因素来自《中国县域统计年鉴》等。采用JoinPoint、SaTScan、空间自相关技术和空间回归模型,对肺癌的时空聚集性、空间分布特征及环境因素相关性进行研究。浙江省肺癌发病率随时间上升,大部分发病集中在北部,南部相对较少,呈现空间聚集分布。城市化率的提高增加了肺癌发病率,与环境相关的肺腺癌比例逐年上升。空间回归模型显示,肺癌发病率与植被指数呈负相关,与人均GDP年均值呈正相关。中国浙江省肺癌发病率分布存在空间异质性,高发区位于工业化和城市化程度较高的地区。植被和城市化率对肺癌发病率有影响。