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Spatiotemporal Variations in Gastric Cancer Mortality and Their Relations to Influencing Factors in S County, China

Author

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  • Cheng Cui

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Baohua Wang

    (National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Hongyan Ren

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Zhen Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Increasingly stricter and wider official efforts have been made by multilevel Chinese governments for seeking the improvements of the environment and public health status. However, the contributions of these efforts to environmental changes and spatiotemporal variations in some environmental diseases have been seldom explored and evaluated. Gastric cancer mortality (GCM) data in two periods (I: 2004–2006 and II: 2012–2015) was collected for the analysis of its spatiotemporal variations on the grid scale across S County in Central China. Some environmental and socioeconomic factors, including river, farmlands, topographic condition, population density, and gross domestic products (GDP) were obtained for the exploration of their changes and their relationships with GCM’s spatiotemporal variations through a powerful tool (GeoDetector, GD). During 2004–2015, S County achieved environmental improvement and socioeconomic development, as well as a clear decline of the age-standardized mortality rate of gastric cancer from 35.66/10 5 to 23.44/10 5 . Moreover, the GCM spatial patterns changed on the grid scale, which was spatially associated with the selected influencing factors. Due to the improvement of rivers’ water quality, the distance from rivers posed relatively larger but reversed impacts on the gridded GCM. In addition, higher population density and higher economic level (GDP) acted as important protective factors, whereas the percentage of farmlands tended to have adverse effects on the gridded GCM in period II. It can be concluded that the decline of GCM in S County was spatiotemporally associated with increasingly strengthened environmental managements and socioeconomic developments over the past decade. Additionally, we suggest that more attentions should be paid to the potential pollution caused by excessive pesticides and fertilizers on the farmlands in S County. This study provided a useful clue for local authorities adopting more targeted measures to improve environment and public health in the regions similar to S County.

Suggested Citation

  • Cheng Cui & Baohua Wang & Hongyan Ren & Zhen Wang, 2019. "Spatiotemporal Variations in Gastric Cancer Mortality and Their Relations to Influencing Factors in S County, China," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:784-:d:210801
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    References listed on IDEAS

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    1. Luc Anselin & Sergio J. Rey, 2010. "Perspectives on Spatial Data Analysis," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 1-20, Springer.
    2. Jialu Liu Streeter, 2017. "Socioeconomic Factors Affecting Food Consumption and Nutrition in China: Empirical Evidence During the 1989–2009 Period," Chinese Economy, Taylor & Francis Journals, vol. 50(3), pages 168-192, May.
    3. Yingru Li & Huixuan Li & Zhongwei Liu & Changhong Miao, 2016. "Spatial Assessment of Cancer Incidences and the Risks of Industrial Wastewater Emission in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    4. Cohen, Deborah A. & Farley, Thomas A. & Mason, Karen, 2003. "Why is poverty unhealthy? Social and physical mediators," Social Science & Medicine, Elsevier, vol. 57(9), pages 1631-1641, November.
    5. Jixia Huang & Jinfeng Wang & Yanchen Bo & Chengdong Xu & Maogui Hu & Dacang Huang, 2014. "Identification of Health Risks of Hand, Foot and Mouth Disease in China Using the Geographical Detector Technique," IJERPH, MDPI, vol. 11(3), pages 1-17, March.
    6. Hongyan Ren & Xia Wan & Fei Yang & Xiaoming Shi & Jianwei Xu & Dafang Zhuang & Gonghuan Yang, 2014. "Association between Changing Mortality of Digestive Tract Cancers and Water Pollution: A Case Study in the Huai River Basin, China," IJERPH, MDPI, vol. 12(1), pages 1-13, December.
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    1. Cheng Cui & Hang Dong & Hongyan Ren & Guozhen Lin & Lu Zhao, 2020. "Characterization of Esophageal Cancer and Its Association with Influencing Factors in Guangzhou City, China," IJERPH, MDPI, vol. 17(5), pages 1-14, February.

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