IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i10p963-d79334.html
   My bibliography  Save this article

Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

Author

Listed:
  • Changfa Xia

    (National Office for Cancer Prevention and Control, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)

  • Clare Kahn

    (Cancer Council New South Wales, Sydney NSW 2011, Australia)

  • Jinfeng 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)

  • Yilan Liao

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

  • Wanqing Chen

    (National Office for Cancer Prevention and Control, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)

  • Xue Qin Yu

    (Cancer Council New South Wales, Sydney NSW 2011, Australia
    Sydney School of Public Health, University of Sydney, Sydney NSW 2006, Australia)

Abstract

To describe geographical variation in breast cancer mortality over time, we analysed breast cancer mortality data from three retrospective national surveys on causes of death in recent decades in China. We first calculated the age-standardized mortality rate (ASMR) for each of the 31 provinces in mainland China stratified by survey period (1973–1975, 1990–1992 and 2004–2005). To test whether the geographical variation in breast cancer mortality changed over time, we then estimated the rate ratio (RR) for the aggregated data for seven regions and three economic zones using generalized linear models. Finally, we examined the correlation between mortality rate and several macro-economic measures at the provincial level. We found that the overall ASMR increased from 2.98 per 100,000 in 1973–1975 to 3.08 per 100,000 in 1990–1992, and to 3.85 per 100,000 in 2004–2005. Geographical variation in breast cancer mortality also increased significantly over time at the regional level ( p = 0.002) but not at the economic zone ( p = 0.089) level, with RR being generally lower for Western China (Northwest and Southwest) and higher in Northeast China over the three survey periods. These temporal and spatial trends in breast cancer mortality were found to be correlated with per capita gross domestic product, number of hospitals and health centres’ beds per 10,000 population and number of practicing doctors per 10,000 population, and average number of live births for women aged 15–64. It may be necessary to target public health policies in China to address the widening geographic variation in breast cancer mortality, and to take steps to ensure that the ease of access and the quality of cancer care across the country is improved for all residents.

Suggested Citation

  • Changfa Xia & Clare Kahn & Jinfeng Wang & Yilan Liao & Wanqing Chen & Xue Qin Yu, 2016. "Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death," IJERPH, MDPI, vol. 13(10), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:963-:d:79334
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/10/963/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/10/963/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xufeng Fei & Jiaping Wu & Zhe Kong & George Christakos, 2015. "Urban-Rural Disparity of Breast Cancer and Socioeconomic Risk Factors in China," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    2. Zhenkun Wang & Junzhe Bao & Chuanhua Yu & Jinyao Wang & Chunhui Li, 2015. "Secular Trends of Breast Cancer in China, South Korea, Japan and the United States: Application of the Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 12(12), pages 1-10, December.
    3. Rubin, Marcie S. & Clouston, Sean & Link, Bruce G., 2014. "A fundamental cause approach to the study of disparities in lung cancer and pancreatic cancer mortality in the United States," Social Science & Medicine, Elsevier, vol. 100(C), pages 54-61.
    4. Paul M Walsh & Julianne Byrne & Maria Kelly & Joe McDevitt & Harry Comber, 2014. "Socioeconomic Disparity in Survival after Breast Cancer in Ireland: Observational Study," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-14, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Baade, 2017. "Geographical Variation in Breast Cancer Outcomes," IJERPH, MDPI, vol. 14(5), pages 1-3, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sean A. P. Clouston & Marcie S. Rubin & Jo C. Phelan & Bruce G. Link, 2016. "A Social History of Disease: Contextualizing the Rise and Fall of Social Inequalities in Cause-Specific Mortality," Demography, Springer;Population Association of America (PAA), vol. 53(5), pages 1631-1656, October.
    2. Jinyao Wang & Zhiqiang Bai & Zhenkun Wang & Chuanhua Yu, 2016. "Comparison of Secular Trends in Cervical Cancer Mortality in China and the United States: An Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
    3. Jinani Jayasekera & Eberechukwu Onukwugha & Christopher Cadham & Donna Harrington & Sarah Tom & Francoise Pradel & Michael Naslund, 2019. "An ecological approach to monitor geographic disparities in cancer outcomes," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    4. Rodrigo Chávez-Penha & Maria Teresa Bustamante-Teixeira & Mário Círio Nogueira, 2023. "Age-Period-Cohort Study of Breast Cancer Mortality in Brazil in State Capitals and in Non-Capital Municipalities from 1980 to 2019," IJERPH, MDPI, vol. 20(15), pages 1-16, August.
    5. Jennifer Boyd & Clare Bambra & Robin C. Purshouse & John Holmes, 2021. "Beyond Behaviour: How Health Inequality Theory Can Enhance Our Understanding of the ‘Alcohol-Harm Paradox’," IJERPH, MDPI, vol. 18(11), pages 1-12, June.
    6. Clouston, Sean A.P. & Rubin, Marcie S. & Chae, David H. & Freese, Jeremy & Nemesure, Barbara & Link, Bruce G., 2017. "Fundamental causes of accelerated declines in colorectal cancer mortality: Modeling multiple ways that disadvantage influences mortality risk," Social Science & Medicine, Elsevier, vol. 187(C), pages 1-10.
    7. Yang Zhao & Lin Zhang & Yu Fu & Minyu Wang & Luwen Zhang, 2020. "Socioeconomic Disparities in Cancer Treatment, Service Utilization and Catastrophic Health Expenditure in China: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
    8. Xudong Gao & Zhenkun Wang & Chan Kong & Fen Yang & Ying Wang & Xiaodong Tan, 2017. "Trends of Esophageal Cancer Mortality in Rural China from 1989 to 2013: An Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 14(3), pages 1-10, February.
    9. Connolly, Sheelah & Russell, Helen & Henry, Edward, 2021. "Returning to employment following a diagnosis of cancer: An Irish survey," Research Series, Economic and Social Research Institute (ESRI), number SUSTAT103, August.
    10. Ronit Pinchas-Mizrachi & Judith Jacobson Liptz & Beth G. Zalcman & Anat Romem, 2022. "Disparities in Breast Cancer Mortality Rates in Israel among Urban and Rural Women," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    11. Ángel R. Zapata-Moya & María J. Martín-Díaz & Francisco J. Viciana-Fernández, 2021. "Area-Based Policies and Potential Health Benefits: A Quasi-Experimental Cohort Study in Vulnerable Urban Areas of Andalusia (Spain)," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    12. Jie Chang & Boyang Li & Jingjing Li & Yang Sun, 2017. "The Effects of Age, Period, and Cohort on Mortality from Ischemic Heart Disease in China," IJERPH, MDPI, vol. 14(1), pages 1-12, January.
    13. Xufeng Fei & Zhaohan Lou & George Christakos & Qingmin Liu & Yanjun Ren & Jiaping Wu, 2016. "A Geographic Analysis about the Spatiotemporal Pattern of Breast Cancer in Hangzhou from 2008 to 2012," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-13, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:963-:d:79334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.