Skip to main content

Advertisement

SpringerLink
Log in

Spatial and temporal distribution and influencing factor analysis of the malignant tumor mortality rate around the mining area

  • Original Paper
  • Published:
Environmental Geochemistry and Health Aims and scope Submit manuscript

Abstract

Mining activities can threaten residents’ health even lives. Integrating spatial empirical Bayesian smoothing, joinpoint regression and spatiotemporal scanning methods, we analyzed aggregations and possible factors of four tumor mortality rates at township and village scales from 2012 to 2016 in Suxian district of Hunan Province, China. Results indicate: (1) Mortality rates were ranked: lung cancer > liver cancer > gastric cancer > colorectal cancer. (2) Lung cancer had a higher five-year mortality rate in the middle; relative risk (RR) of death from lung cancer from 2012 to 2015 in Xujiadong Village was 7.48. Liver cancer had a higher five-year mortality rate in the Middle West; RR in areas centered on Nanta Street with a radius of 9.87 km from 2015 to 2016, was 1.83. Gastric cancer had a higher five-year mortality rate in the east; RR in Xujiadong Village from 2012 to 2014 was 6.9. Five-year mortality rate of colorectal cancer was higher in the northwest; RR in regions centered on Huangcao Village with a radius of 12.11 km in 2016, was 2.88. (3) Pollution from ore mining and smelting, heavy metal and non-metallic, and mine transportation were the main possible factors. This research provides a method reference for studying spatiotemporal patterns of disease in China even the world.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Adedeji, O. H., Olayinka, O. O., & Tope-Ajayi, O. O. (2019). Spatial distribution and health risk assessment of soil pollution by heavy metals in Ijebu-Ode, Nigeria. Journal of Health and Pollution, 9(22), 1–14.

    Article  Google Scholar 

  • Alberg, A. J., Brock, M. V., Ford, J. G., Samet, J. M., & Spivack, S. D. (2013). Epidemiology of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American college of chest physicians evidence-based clinical practice guidelines. Chest, 143(5), 61–77.

    Article  Google Scholar 

  • Aran, V., Victorino, A. P., Thuler, L. C., & Ferreira, C. G. (2016). Colorectal cancer: Epidemiology, disease mechanisms and interventions to reduce onset and mortality. Clinical Colorectal Cancer, 15(3), 195–203.

    Article  Google Scholar 

  • Chen, L., Zhu, Q., Wang, X., et al. (2015). Spatiotemporal cluster of HIV/AIDS in Guangxi. 2005–2012. Chinese Journal of Public Health, 31(12), 1521–1525.

    Google Scholar 

  • Chen, K., Liao, Q., Ma, Z., Jin, Y., Hua, M., Bi, J., & Huang, L. (2015). Association of soil arsenic and nickel exposure with cancer mortality rates, a town-scale ecological study in Suzhou. China. Environmental Science and Pollution Research, 22(7), 5395–5404.

    Article  CAS  Google Scholar 

  • Chen, Q., Ma, M., You, Y., & Yang, D. (2020). Cadmium input flux in farmland soil near the Dabaoshan mining area of Guangdong Province. Geology and Mineral Resources of South China, 36(2), 147–152.

    Google Scholar 

  • Cheng, X., Danek, T., Drozdova, J., Huang, Q., Qi, W., Zou, L., Yang, S., Zhao, X., & Xiang, Y. (2018). Soil heavy metal pollution and risk assessment associated with the Zn-Pb mining region in Yunnan, Southwest China. Environmental Monitoring and Assessment, 190(4), 1–16.

    Article  CAS  Google Scholar 

  • Chu, J., Zhou, C., Guo, X., Sun, J., Xue, F., Zhang, J., Lu, Z., Fu, Z., & Xu, A. (2017). Female breast cancer mortality clusters in Shandong province, China: A spatial analysis. Scientific Reports, 7(1), 1–8.

    Google Scholar 

  • Chen, Y., Jiang, X., Wang, Y., & Zhuang, D. (2018). Spatial characteristics of heavy metal pollution and the potential ecological risk of a typical mining area: A case study in China. Process Safety and Environmental Protection, 113, 204–219.

    Article  CAS  Google Scholar 

  • Correa, P., & Piazuelo, M. B. (2011). Helicobacter pylori infection and gastric adenocarcinoma. Us Gastroenterology & Hepatology Review, 7(7), 59–64.

    Google Scholar 

  • de la Campa, A. M. S., Sánchez-Rodas, D., Castanedo, Y. G., & Jesús, D. (2015). Geochemical anomalies of toxic elements and arsenic speciation in airborne particles from Cu mining and smelting activities: Influence on air quality. Journal of Hazardous Materials, 291, 18–27.

    Article  Google Scholar 

  • Ding, Q., Cheng, G., & Wang, Y. (2017). Effects of natural factors on the spatial distribution of heavy metals in soils surrounding mining regions. Science of the Total Environment, 578, 577–585.

    Article  CAS  Google Scholar 

  • Ding, Q., Wang, Y., & Zhuang, D. (2018). Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions. Journal of Environmental Management, 212, 23–31.

    Article  CAS  Google Scholar 

  • Elebead, F. M., Hamid, A., Hilmi, H. S. M., & Galal, H. (2012). Mapping cancer disease using geographical information system (GIS) in Gezira State-Sudan. Journal of Community Health, 37(4), 830–839.

    Article  CAS  Google Scholar 

  • Elferinka, M. A. G., Klaase, J. M., & Siesling, S. (2012). Spatial variation in stage distribution in colorectal cancer in the Netherlands. European Journal of Cancer, 48(8), 1119–1125.

    Article  Google Scholar 

  • Fei, X., Lou, Z., Christakos, G., Ren, Z., Liu, Q., & Lv, X. (2018). The association between heavy metal soil pollution and stomach cancer: A case study in Hangzhou City. China. Environmental Geochemistry and Health, 40(6), 2481–2490.

    Article  CAS  Google Scholar 

  • Fernández-Navarro, P., García-Pérez, J., Ramis, R., Boldo, E., & López-Abente, G. (2012). Proximity to mining industry and cancer mortality. Science of the Total Environment, 435–436, 66–73.

    Article  Google Scholar 

  • Goovaerts, P. (2006). Geostatistical analysis of disease data: Accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging. International Journal of Health Geographics, 5(1), 1–31.

    Article  Google Scholar 

  • Hendryx, M., O’Donnell, K., & Horn, K. (2008). Lung cancer mortality is elevated in coal-mining areas of Appalachia. Lung Cancer, 62(1), 1–7.

    Article  Google Scholar 

  • Hosgood, H. D., III., Farah, C., Black, C. C., Schwenne, M., & Hock, J. M. (2013). Spatial and temporal distributions of lung cancer histopathology in the state of Maine. Lung Cancer, 82(1), 55–62.

    Article  Google Scholar 

  • IARC (2012). Arsenic, metals, fibres and dusts. IARC monographs on the evaluation of carcinogenic risks to humans, vol 100c. International Agency for Research on Cancer, Lyon.

  • Ji, W., Wang, Y., Zhuang, D., Song, D., Shen, S., Wang, W., & Li, G. (2014). Spatial and temporal distribution of expressway and its relationships to land cover and population: A case study of Beijing, China. Transportation Research Part D, 32, 86–96.

    Article  Google Scholar 

  • Kim, H. J., Fay, M. P., Feuer, E. J., et al. (2000). Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine, 19(3), 335–351.

    Article  CAS  Google Scholar 

  • Kulldorff, M. (1999). Spatial scan statistics: models, calculations, and applications. In Glaz and Balakrishnan, eds. Scan Statistics and Applications. Birkhauser, Boston.

  • Kumar, S. U., Ramanathan, A. L., & Subramanian, V. (2018). Groundwater chemistry and human health risk assessment in the mining region of East Singhbhum, Jharkhand, India. Chemosphere, 204, 501–513.

    Article  Google Scholar 

  • Ledda, C., Loreto, C., Zammit, C., Marconi, A., Fago, L., Matera, S., Costanzo, V., Sanza, G. F., Palmucci, S., Ferrante, M., Costa, C., Fenga, C., Biondi, A., Pomara, C., & Rapisarda, V. (2017). Non-infective occupational risk factors for hepatocellular carcinoma: A review (Review). Molecular Medicine Reports, 15(2), 511–533.

    Article  CAS  Google Scholar 

  • Li, Y., Zhao, Z., & Zhou, Y. (2013). Identification of heavy metals sources in scalp hair and associated influence factors in liver cancer’s high incidence Area in Pearl River Delta. China. Guangdong Trace Elements Science, 20(02), 1–10.

    Google Scholar 

  • Lin, H., Ning, B., Li, J., Ho, S. C., Huss, A., Vermeulen, R., & Tian, L. W. (2015). Lung cancer mortality among women in Xuan Wei, China: A comparison of spatial clustering detection methods. Asia Pacific Journal of Public Health, 27(2), 392–401.

    Article  Google Scholar 

  • Liu, H., Probst, A., & Liao, B. (2005). Metal contamination of soils and crops affected by the Chenzhou lead/zinc mine spill (Hunan, China). Science of the Total Environment, 339(1–3), 153–166.

    Article  CAS  Google Scholar 

  • López-Abente, G., Aragonés, N., Pérez-Gómez, B., Pollán, M., García-Pérez, J., Ramis, R., & Fernández-Navarro, P. (2014). Time trends in municipal distribution patterns of cancer mortality in Spain. BMC Cancer, 14(1), 535.

    Article  Google Scholar 

  • Lundström, N. G., Nordberg, G., Englyst, V., Gerhardsson, L., Hagmar, L., Jin, T., Rylander, L., & Wall, S. (1997). Cumulative lead exposure in relation to mortality and lung cancer morbidity in a cohort of primary smelter workers. Scandinavian Journal of Work, Environment & Health, 23(1), 24–30.

    Article  Google Scholar 

  • Montero-Oleas, N., Núñez-González, S., & Simancas-Racines, D. (2017). The remarkable geographical pattern of gastric cancer mortality in Ecuador. Cancer Epidemiology, 51, 92–97.

    Article  Google Scholar 

  • Musk, A. W., de Klerk, N. H., Reid, A., Ambrosini, G. L., Fritschi, L., Olsen, N. J., Merler, E., Hobbs, M., & Berry, G. (2008). Mortality of former crocidolite (blue asbestos) miners and millers at Wittenoom. Occupational and Environmental Medicine, 65(8), 541–543.

    Article  CAS  Google Scholar 

  • Nair, J., Carmichael, P. L., Fernando, R. C., Phillips, D. H., Strain, A. J., & Bartsch, H. (1998). Lipid peroxidation-induced etheno-DNA adducts in the liver of patients with the genetic metal storage disorders Wilson’s disease and primary hemochromatosis. Cancer Epidemiology and Prevention Biomarkers, 7(5), 435–440.

    CAS  Google Scholar 

  • Nunes, C. (2007). Tuberculosis incidence in Portugal: Spatiotemporal clustering. International Journal of Health Geographics, 6(1), 1–10.

    Article  Google Scholar 

  • Núñez, O., Fernández-Navarro, P., Martín-Méndez, I., Bel-Lan, A., Locutura, J. F., & López-Abente, G. (2016). Arsenic and chromium topsoil levels and cancer mortality in Spain. Environmental Science & Pollution Research International, 23(17), 17664–17675.

    Article  Google Scholar 

  • Pan, Y., Yang, G., et al. (1988). Soil environment background values in Hunan. In Miao, ed. Hunan Soil Background Value and Research Methods. Chinese Academy of Sciences Press, Beijing.

  • Reid, A., Berry, G., de Klerk, N., Hansen, J., Heyworth, J., Ambrosini, G., Fritschi, L., Olsen, N., Merler, E., & Tisk, A. W. B. (2007). Age and sex differences in malignant mesothelioma after residential exposure to blue asbestos (Crocidolite). Chest, 131(2), 376–382.

    Article  Google Scholar 

  • Shan, Y., Tysklind, M., Hao, F., Ouyang, W., Chen, S., & Lin, C. (2013). Identification of sources of heavy metals in agricultural soils using multivariate analysis and GIS. Journal of Soils & Sediments, 13(4), 720–729.

    Article  CAS  Google Scholar 

  • Sohrabi, M., Gholami, A., Azar, M. H., Yaghoobi, M., Shahi, M. M., Shirmardi, S., Nikkhah, M., Kohi, Z., Salehpour, D., Khoonsari, M. R., & Hemmasi, G. (2018). Trace element and heavy metal levels in colorectal cancer: Comparison between cancerous and non-cancerous tissues. Biological Trace Element Research, 183(1), 1–8.

    Article  CAS  Google Scholar 

  • Song, D., Jiang, D., Wang, Y., Chen, W., Huang, Y., & Zhuang, D. (2013). Study on association between spatial distribution of metal mines and disease mortality: A case study in Suxian District, South China. International Journal of Environmental Research and Public Health, 10(10), 5163–5177.

    Article  CAS  Google Scholar 

  • Song, D., Zhuang, D., Jiang, D., Fu, J., & Wang, Q. (2015). Integrated health risk assessment of heavy metals in Suxian County, South China. International Journal of Environmental Research and Public Health, 12(7), 7100–7117.

    Article  CAS  Google Scholar 

  • Sun, J., Tie, B., Qian, Z., Zhou, H., Mao, X., Yang, S., & Zhao, T. (2006). The combined eco-toxicological effect of Cd, Pb, Cu, Zn, As pollution on a hybrid rice seedlings and the critical value. Chinese Journal of Soil Science, 05, 981–985.

    Google Scholar 

  • Szewczyk, M., Pasternak, K., Andrzejewski, A., Dabrowski, A., & Wallner, G. (2013). Plasma and cancerous tissue concentrations of Zn, Cu and Mn in patients undergoing surgical treatment for gastrointestinal cancer. Journal of Elementology, 18(1), 135–144.

    Google Scholar 

  • Wang, F. (2004). Spatial clusters of cancers in Illinois 1986–2000. Journal of Medical Systems, 28(3), 237–256.

    Article  Google Scholar 

  • Wang, Y., Ding, Q., & Zhuang, D. (2015). An eco-city evaluation method based on spatial analysis technology: A case study of Jiangsu Province, China. Ecological Indicators, 58, 37–46.

    Article  Google Scholar 

  • Welling, R., Beaumont, J. J., Petersen, S. J., Alexeeff, G. V., & Steinmaus, C. (2015). Chromium VI and stomach cancer: A meta-analysis of the current epidemiological evidence. Occupational and Environmental Medicine, 72(2), 151–159.

    Article  Google Scholar 

  • Wozniak, J., & Pactwa, K. (2018). Responsible mining- the impact of the mining industry in Poland on the quality of atmospheric air. Sustainability, 10(1184), 1–16.

    Google Scholar 

  • Wu, W., Xu, Y., Shi, D., et al. (2015). 2015, The arsenic pollution status of the rivers and lakes in China and the research progress on arsenic removal techniques. Environmental Science & Technology, 38(6P), 190–197.

    Google Scholar 

  • Yuan, W., Yang, N., & Li, X. (2016). Advances in understanding how heavy metal pollution triggers gastric cancer. BioMed Research International, 2016, 7825432.

    Article  Google Scholar 

  • Zhao, Q., Wang, Y., Cao, Y., Chen, A., Ren, M., Ge, Y., Yu, Z., Wan, S., Hu, A., Bo, Q., & Ruan, L. (2014). Potential health risks of heavy metals in cultivated topsoil and grain, including correlations with human primary liver, lung and gastric cancer, in Anhui province, Eastern China. Science of the Total Environment, 470, 340–347.

    Article  Google Scholar 

Download references

Funding

This study was partially funded by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA28050200), the Third Xinjiang Scientific Expedition Program (No. 2021xjkk1402), the Major Special Project—the China High-Resolution Earth Observation System (No.30-Y30F06-9003-20/22), and 2020 Zhejiang Postdoctoral Research Project (No. ZJ2020148). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

  1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Yong Wang, Yu Yang, Shibo Wang, Dafang Zhuang & Yusen Yang

  2. College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang Province, China

    Qian Ding

  3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Yu Yang & Shibo Wang

Authors
  1. Yong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qian Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shibo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dafang Zhuang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yusen Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceived and designed the experiments: YW, QD, DZ; Performed the experiments: QD, YY, SW; Analyzed the data: YW, YY, QD, SW, YY; Contributed reagents/materials/analysis tools: YW, DZ; Wrote and revised the manuscript: YW, QD, YY, SW, YY.

Corresponding author

Correspondence to Qian Ding.

Ethics declarations

Conflict of interest

All authors have declared no conflict of interest.

Consent to participate

No personal data are contained in this study that would require to ask for consent.

Consent to publish

No personal data are contained in this study that would require to ask for consent.

Human and animal rights

This research did not involve animal subjects.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Yang, Y., Ding, Q. et al. Spatial and temporal distribution and influencing factor analysis of the malignant tumor mortality rate around the mining area. Environ Geochem Health 44, 4647–4664 (2022). https://doi.org/10.1007/s10653-022-01231-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10653-022-01231-x

Keywords

Search

Navigation