Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun 11;19(12):7172.
doi: 10.3390/ijerph19127172.

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

Affiliations

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

Xin Yuan et al. Int J Environ Res Public Health. .

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.

Keywords: China; Joinpoint regression; age–period–cohort model; injury and poisoning; mortality; urban and rural.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The trends of injury and poisoning mortality in China by gender and region with age.
Figure 2
Figure 2
The trends of injury and poisoning mortality in China by gender and region with period.
Figure 3
Figure 3
The trends of injury and poisoning mortality in China by gender and region with birth cohorts. Note: Birth cohort = period-age, the earlier the cohort (1929–1933) indicates that the current population is elderly, and the later the cohort (2009–2013) indicates that the current population is adolescent. Each colored line segment represents 15-year mortality trends for different birth cohorts.

Similar articles

Cited by

References

    1. Yuan H., Wang S. The main progress and outlook of injury prevention and control in China. Zhonghua Jibing Kongzhi Zazhi. 2017;21:971–978.
    1. National Health Commission . China Injury Status Report 2019. People’s Medical Publishing House; Beijing, China: 2020. pp. 1–53.
    1. Wang L., Liu Y., Liu S., Yin P., Liu J., Zeng X., Zhou M., Wang L. Analysis of the disease burden of injury in Chinese population in 1990 and 2010. Zhonghua Yufang Yixue Zazhi. 2015;49:321–326. - PubMed
    1. Statistical Information Center of the National Health and Planning Commission . China Cause of Death Surveillance Dataset (2015) China Science and Technology Press; Beijing, China: 2016. pp. 60–62.
    1. Ko S.K., Yoon S.J., Oh I.H., Seo H.Y., Kim E.J. The economic burden of inflammatory heart disease in Korea. Korean Circ. J. 2011;41:712–717. doi: 10.4070/kcj.2011.41.12.712. - DOI - PMC - PubMed