IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i1p826-d1022476.html
   My bibliography  Save this article

Analysis on Incidence and Mortality Trends and Age–Period–Cohort of Breast Cancer in Chinese Women from 1990 to 2019

Author

Listed:
  • Meng Yin

    (School of Public Health, Hubei University of Medicine, Shiyan 442000, China)

  • Fang Wang

    (Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou 221004, China)

  • Yunquan Zhang

    (Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430081, China
    Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan 442000, China)

  • Runtang Meng

    (School of Public Health, Hangzhou Normal University, Hangzhou 311121, China)

  • Xiaomei Yuan

    (School of Public Health, Hubei University of Medicine, Shiyan 442000, China)

  • Qun Wang

    (School of Public Health, Hubei University of Medicine, Shiyan 442000, China
    Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan 442000, China)

  • Yong Yu

    (School of Public Health, Hubei University of Medicine, Shiyan 442000, China
    Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan 442000, China)

Abstract

Aims: To analyze the incidence and mortality trends of breast cancer among women in China from 1990 to 2019 and explore the effects of age, period, and cohort on the incidence and mortality of breast cancer. Methods: We performed a Joinpoint regression model to describe trends in breast cancer incidence and mortality. We used an age–period–cohort analysis model to estimate the impact of age, period, and cohort on breast cancer incidence and mortality. We collected breast cancer incidence and mortality among women aged 20–89 in China (1990–2019) from the Global Health Data Exchange (GHDx) database. Results: The crude incidence and mortality of breast cancer from 1990 to 2019 in Chinese women showed an increasing trend, with an average annual increase percentage (AAPC) of 4.69% and 2.18%, respectively. The analysis on the age–period–cohort model revealed that the risk of incidence increased first and then decreased with age and peaked at 55–59 years old, whereas the risk of mortality increased by approximately 60.34 times from 20 to 89 years old. The risk of incidence and mortality increased by 2.64 and 1.49 times with the passage of time, respectively. The later the birth cohort is, the lower the risk of incidence and mortality will be. Conclusion: From 1990 to 2019, the incidence and mortality of breast cancer among Chinese women showed an increasing trend, and the prevention and control situation of breast cancer was still grim. Therefore, visual examination and palpation examination should be actively carried out in adult women with breast cancer, and the conventional population after 40 years of age, the high-risk population carrying hereditary breast cancer gene and the elderly population should be assisted with imaging examination along with palpation examination. When treating patients suffering from breast cancer, in order to reduce the death rate, a personalized treatment plan should be developed based on the characteristics of different patients.

Suggested Citation

  • Meng Yin & Fang Wang & Yunquan Zhang & Runtang Meng & Xiaomei Yuan & Qun Wang & Yong Yu, 2023. "Analysis on Incidence and Mortality Trends and Age–Period–Cohort of Breast Cancer in Chinese Women from 1990 to 2019," IJERPH, MDPI, vol. 20(1), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:1:p:826-:d:1022476
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/826/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/826/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Fogel & Dora Costa, 1997. "A theory of technophysio evolution, with some implications for forecasting population, health care costs, and pension costs," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 49-66, February.
    Full references (including those not matched with items on IDEAS)

    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. Fogel, Robert W, 2004. "Health, Nutrition, and Economic Growth," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 643-658, April.
    2. Gregori Galofré-Vilà & Martin McKee & David Stuckler, 2022. "Quantifying the mortality impact of the 1935 old-age assistance," European Review of Economic History, European Historical Economics Society, vol. 26(1), pages 62-77.
    3. Baez, Javier E., 2011. "Civil wars beyond their borders: The human capital and health consequences of hosting refugees," Journal of Development Economics, Elsevier, vol. 96(2), pages 391-408, November.
    4. Hui Zheng & Jonathan Dirlam & Paola Echave, 2021. "Divergent Trends in the Effects of Early Life Factors on Adult Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 1119-1148, October.
    5. Hui Zheng, 2014. "Aging in the Context of Cohort Evolution and Mortality Selection," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1295-1317, August.
    6. Douglas Almond & Janet Currie, 2011. "Killing Me Softly: The Fetal Origins Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 153-172, Summer.
    7. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. Jiameng Cui & Xinru Guo & Xin Yuan & Hao Wu & Ge Yu & Biao Li & Changgui Kou, 2022. "Analysis of Rheumatic Heart Disease Mortality in the Chinese Population: A JoinPoint and Age–Period–Cohort Study," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
    9. Gregory N. Price, 2019. "Does Productivity in the Formal Food Sector Drive Human Ebola Virus Infections in Sub‐Saharan Africa?," African Development Review, African Development Bank, vol. 31(2), pages 167-178, June.
    10. Linares, Claudia & Su, Dejun, 2005. "Body mass index and health among Union Army veterans: 1891-1905," Economics & Human Biology, Elsevier, vol. 3(3), pages 367-387, December.
    11. Arjan Gjonca & Hilke Brockmann & Heiner Maier, 2000. "Old-Age Mortality in Germany prior to and after Reunification," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(1).
    12. David Bishai & Divya Nair & Taghreed Adam, 2012. "Economics of Public Health Interventions for Children in Developing Countries," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 5, Edward Elgar Publishing.
    13. Abeliansky, Ana Lucia & Erel, Devin & Strulik, Holger, 2019. "Aging in the USA: Similarities and disparities across time and space," University of Göttingen Working Papers in Economics 384, University of Goettingen, Department of Economics.
    14. Zsolt Becsi, 2001. "Longevity and the Life Cycle," Departmental Working Papers 2001-12, Department of Economics, Louisiana State University.
    15. Logan, Trevon D., 2006. "Food, nutrition, and substitution in the late nineteenth century," Explorations in Economic History, Elsevier, vol. 43(3), pages 527-545, July.
    16. Elena Sánchez-García & José-Miguel Martinez-Carrión & Jose Manuel Terán & Carlos Varea, 2021. "Biological Well-Being during the “Economic Miracle” in Spain: Height, Weight and Body Mass Index of Conscripts in the City of Madrid, 1955–1974," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    17. Costa, Dora L., 2004. "The Measure of Man and Older Age Mortality: Evidence from the Gould Sample," The Journal of Economic History, Cambridge University Press, vol. 64(1), pages 1-23, March.
    18. Galofré Vilà, Gregori, 2020. "Quantifying the impact of aid to dependent children: An epidemiological framework⁎," Explorations in Economic History, Elsevier, vol. 77(C).
    19. Dora Costa, 2002. "Changing chronic disease rates and longterm declines in functional limitation among older men," Demography, Springer;Population Association of America (PAA), vol. 39(1), pages 119-137, February.
    20. Beaudreau, Bernard C. & Pokrovskii, Vladimir N., 2010. "On the energy content of a money unit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2597-2606.

    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:20:y:2023:i:1:p:826-:d:1022476. 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.