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Contribution of industrial density and socioeconomic status to the spatial distribution of thyroid cancer risk in Hangzhou, China

文献类型： 外文期刊

作者： Fei, Xufeng 1 ; Lou, Zhaohan 1 ; Christakos, George 1 ; Liu, Qingmin 4 ; Ren, Yanjun 4 ; Wu, Jiaping 1 ;

作者机构： 1.Zhejiang Univ, Inst Isl & Coastal Ecosyst, Zhoushan, Peoples R China

2.Zhejiang Acad Agr Sci, Hangzhou, Zhejiang, Peoples R China

3.San Diego State Univ, Dept Geog, San Diego, CA 92182 USA

4.Hangzhou Ctr Dis Control & Prevent, Hangzhou, Zhejiang, Peoples R China

关键词： Thyroid cancer;Industrial density;Socioeconomic status;Bayesian maximum entropy;Integrative disease predictability

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：7.963； 五年影响因子：7.842 ）

ISSN： 0048-9697

年卷期： 2018 年 613 卷

页码：

收录情况： SCI

摘要： Background: The thyroid cancer (TC) incidence in China has increased dramatically during the last three decades. Typical in this respect is the case of Hangzhou city (China), where 7147 new TC cases were diagnosed during the period 2008-2012. Hence, the assessment of the TC incidence risk increase due to environmental exposure is an important public health matter. Methods: Correlation analysis, Analysis of Variance (ANOVA) and Poisson regression were first used to evaluate the statistical association between TC and key risk factors (industrial density and socioeconomic status). Then, the Bayesian maximum entropy (BME) theory and the integrative disease predictability (IDP) criterion were combined to quantitatively assess both the overall and the spatially distributed strength of the "exposure-disease" association. Results: Overall, higher socioeconomic status was positively correlated with higher TC risk (Pearson correlation coefficient = 0.687, P < 0.01). Compared to people of low socioeconomic status, people of median and high socioeconomic status showed higher TC risk: the Relative Risk (RR) and associated 95% confidence interval (CI) were found to be, respectively, RR = 2.29 with 95% CI = 1.99 to 2.63, and RR = 3.67 with 95% CI = 3.22 to 4.19. The "industrial density-TC incidence" correlation, however, was non-significant. Spatially, the "socioeconomic status-TC" association measured by the corresponding IDP coefficient was significant throughout the study area: the mean IDP value was -0.12 and the spatial IDP values were consistently negative at the township level. It was found that stronger associations were distributed among residents mainly on a stripe of land from northeast to southwest (consisting mainly of sub-district areas). The "industrial density-TC" association measured by its IDP coefficient was spatially non-consistent. Conclusions: Socioeconomic status is an important indicator of TC risk factor in Hangzhou (China) whose effect varies across space. Hence, socioeconomic status shows the highest TC risk effect in sub-district areas. (C) 2017 Published by Elsevier B.V.

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