IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7172-d836594.html
   My bibliography  Save this article

Injury and Poisoning Mortality Trends in Urban and Rural China from 2006 to 2020 Based on Age-Period-Cohort Analysis

Author

Listed:
  • Xin Yuan

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

  • Changgui Kou

    (Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China)

  • Min Zhang

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

  • Wenyuan Ma

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

  • Zhitao Tang

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

  • Haiyan Sun

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

  • Wenjun Li

    (Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun 130021, China)

Abstract

Injury and poisoning, common public health problems, currently rank fifth among the causes of death in China. In this study, we aimed to analyze the trends and influencing factors of injury and poisoning mortality in urban and rural China using an age-period-cohort model. Crude mortality data for injury and poisoning by sex, age group, and region were obtained from the China Health Statistical Yearbook (2006–2020). Age-standardized mortality rates for injury and poisoning in urban and rural areas were estimated using the Seventh Census of China 2020 population. The trends of injury and poisoning mortality were assessed using Joinpoint analysis. Age–period–cohort models were used to explore the age, period, and birth cohort effects affecting mortality risk. Over a 15-year period, age-standardized mortality rates decreased from 28.81/100,000 in 2006 to 24.78/100,000 in 2020 in urban areas and from 45.49/100,000 to 44.39/100,000 in rural areas. In the male population, the annual change in mortality was −0.4% (95% CI = −1.8%, 1.0%) in urban areas and −1.0% (95% CI = −1.9%, 0.0%) in rural areas. In the female population, the annual change in mortality was −1.2% (95% CI = −2.3%, −0.1%) in urban areas compared with −1.6% (95% CI = −3.1%, −0.1%) in rural areas. The age–period–cohort model showed a significant increase in urban and rural mortality rates starting at ages 49 and 39 years. Both showed a decline followed by an increase in the period. The cohort from 1929 to 2013 showed an overall trend of increasing and then decreasing. From 2006 to 2020, the overall injury and poisoning mortality rates in China showed a decreasing trend, and the mortality rates decreased faster in women than in men and in rural areas than in urban areas. Age effects were the most important risk factors for changes in injury and poisoning mortality. The results of this study will help researchers explore the possible causes of mortality changes in urban and rural areas and provide a scientific basis for injury and poisoning prevention and control priorities and policy formulation in China.

Suggested Citation

  • Xin Yuan & Changgui Kou & Min Zhang & Wenyuan Ma & Zhitao Tang & Haiyan Sun & Wenjun Li, 2022. "Injury and Poisoning Mortality Trends in Urban and Rural China from 2006 to 2020 Based on Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7172-:d:836594
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7172/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7172/
    Download Restriction: no
    ---><---

    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:19:y:2022:i:12:p:7172-:d:836594. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.