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Characterization of Esophageal Cancer and Its Association with Influencing Factors in Guangzhou City, China

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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 100190, China
    These authors contributed equally to this work.)

  • Hang Dong

    (Department of Biostatistics and Cancer Registration, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
    These authors contributed equally to this work.)

  • 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)

  • Guozhen Lin

    (Department of Biostatistics and Cancer Registration, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China)

  • Lu Zhao

    (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 100190, China)

Abstract

Epidemiological features of esophageal cancer (EC), as well as their associations with potential influencing factors in a city, have seldom been seldom explored on a fine scale. The EC death cases in Guangzhou city during 2012−2017 were collected to describe the epidemiological characteristics such as EC mortality rate (ECMR) and health-seeking behaviors of deaths. Potential influencing factors, including socioeconomic conditions (population density, gross domestic product density), medical resources, and ageing degree were also gathered for exploring their relationships with the epidemiological characteristics of EC. A total of 2,409 EC deaths were reported during 2012−2017 in Guangzhou with an age-standardized ECMR of 3.18/10 5 . The prevalence of EC in Guangzhou was spatially featured and was divided into three regions with obvious differentiated ECMR (ECMR of 6.41/10 5 in region A, ECMR of 5.51/10 5 in region B, ECMR of 2.56/10 5 in region C). The street/town-level ECMR was spatially clustered in Guangzhou city, especially two clusters of streets/towns with high ECMR were highlighted in region A and B respectively. Meanwhile, demographic features including gender gap, death age, temporal interval between diagnosis and death, health-seeking behaviors were remarkably different among the three regions. Moreover, health-seeking behaviors (e.g., the proportion of hospital deaths) of the EC deaths were obviously influenced by medical institution occupancy rate and socioeconomic conditions at street/town level. In addition, the street/town-level ECMR was significantly associated with ageing degree across Guangzhou city (r = 0.466, p < 0.01), especially in region A (r = 0.565, p < 0.01). In contrast, the ECMR in region B was closely related to population density (r = −0.524, p < 0.01) and gross domestic product density (r = −0.511, p < 0.01) when the ageing degree was controlled, while these associations were weak in region C. The epidemiological characteristics of EC in Guangzhou city were spatially featured and potentially associated with socioeconomic conditions, medical resources and ageing degree on a fine scale across Guangzhou city. This study could provide scientific basis for local authorities to implement more targeted EC interventions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1498-:d:325265
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    References listed on IDEAS

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    1. 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.
    2. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    3. 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.
    4. 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.
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