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龙晓娟, 徐成东, 于石成, 王琦琦, 胡跃华, 李俊琦, 向祥龙, 石佳欣. 环境土壤硒含量与肝癌死亡率关系[J]. 中国公共卫生, 2021, 37(6): 950-953. DOI: 10.11847/zgggws1131355
引用本文: 龙晓娟, 徐成东, 于石成, 王琦琦, 胡跃华, 李俊琦, 向祥龙, 石佳欣. 环境土壤硒含量与肝癌死亡率关系[J]. 中国公共卫生, 2021, 37(6): 950-953. DOI: 10.11847/zgggws1131355
LONG Xiao-juan, XU Cheng-dong, YU Shi-cheng, . Relationship between soil selenium content and liver cancer mortality: a monitoring data analysis with generalized additive model[J]. Chinese Journal of Public Health, 2021, 37(6): 950-953. DOI: 10.11847/zgggws1131355
Citation: LONG Xiao-juan, XU Cheng-dong, YU Shi-cheng, . Relationship between soil selenium content and liver cancer mortality: a monitoring data analysis with generalized additive model[J]. Chinese Journal of Public Health, 2021, 37(6): 950-953. DOI: 10.11847/zgggws1131355

环境土壤硒含量与肝癌死亡率关系

Relationship between soil selenium content and liver cancer mortality: a monitoring data analysis with generalized additive model

  • 摘要:
      目的   分析全国161个监测点(区县)土壤硒含量与肝癌死亡之间的关系,为应用微量元素硒防治肝癌提供依据。
      方法  利用全国疾病监测系统161个死因监测点肝癌死亡监测数据、乙肝、丙肝报告发病数、行为危险因素调查数据及社会经济发展和医疗卫生资源相关指标,用因子分析的方法对社会经济发展、医疗卫生资源相关指标进行降维处理,用广义可加模型分析土壤硒含量与肝癌死亡之间的关系。使用SAS 9.4进行统计分析,显著性水准α = 0.05。
      结果  土壤硒含量与肝癌死亡之间存在着非线性关系。对社会经济发展和医疗卫生资源相关指标降维,获得2个公因子,分别代表经济发展和卫生资源,2个公因子的累积贡献率为91.24 %。广义可加模型分析结果显示,肝癌的完整模型和没有土壤硒含量非参数部分模型相比,差异有统计学意义(P < 0.01)。非参数光滑成分效应图显示,土壤硒含量与肝癌非参数部分光滑成分之间呈现类似“N”型关系。
      结论  土壤硒含量较高时,肝癌死亡危险性较高;土壤硒含量处于中等偏上水平时,肝癌死亡危险性较低,应关注土壤硒含量的地区差异,加强硒在肝癌防治方面的应用。

     

    Abstract:
      Objective   To analyze the relationship between soil selenium content and liver cancer mortality in 156 districts/counties covered by a vital registration system in China and to provide references for the application of trace selenium in the prevention and treatment of liver cancer.
      Methods   We collected following data for the 156 districts/counties: population sampling survey in 2012, liver cancer mortality and hepatitis B/C incidence in 2012, disease behavioral risk factor survey in 2010, socio-economic development and healthcare resources in 2013, and interpolatedly estimated soil selenium content based on sampling survey data published in 1994. Dimension reduction process was performed for socio-economic development and healthcare resource indicators with factor analysis. Generalized additive model was adopted to analyze the relationship between soil selenium content and liver cancer mortality. SAS for Windows 9.4 was employed and the significant level was set to be 0.05 in data statistics.
      Results   There was a nonlinear relationship between soil selenium content and liver cancer mortality. Two common factors were derived in dimension reduction for indicators of socio-economic development and healthcare resources, representing economic development and health resource, and the cumulative contribution rate of the two common factors was 91.24%. The results of generalized additive model analysis revealed a significant difference between the complete model of liver cancer mortality and the model without soil selenium content as a non-parametric variable (P < 0.001). The non-parametric smooth component effect graph demonstrated an analogous ‘N’ shape correlation between soil selenium content and the non-parametric smooth component of liver cancer mortality.
      Conclusion   Higher soil selenium content may correlate with increased risk of liver cancer mortality but moderate to upper soil selenium content may associate with low liver cancer mortality. The results should be concerned when conducting selenium supplementation-related liver cancer prevention.

     

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