Trend analysis on the disease burden among Chinese elderly population aged 60 and older from 1990 to 2019

WEI Xinyue; ZULIYAER Talifu; ZHONG Panliang; ZHAO Yihao; WANG Yunhe; ZHENG Xiaoying; SU Binbin

doi:10.16462/j.cnki.zhjbkz.2024.11.013

Volume 28 Issue 11

Nov. 2024

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WEI Xinyue, ZULIYAER Talifu, ZHONG Panliang, ZHAO Yihao, WANG Yunhe, ZHENG Xiaoying, SU Binbin. Trend analysis on the disease burden among Chinese elderly population aged 60 and older from 1990 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1321-1329. doi: 10.16462/j.cnki.zhjbkz.2024.11.013

Citation:

WEI Xinyue, ZULIYAER Talifu, ZHONG Panliang, ZHAO Yihao, WANG Yunhe, ZHENG Xiaoying, SU Binbin. Trend analysis on the disease burden among Chinese elderly population aged 60 and older from 1990 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1321-1329. doi: 10.16462/j.cnki.zhjbkz.2024.11.013

Citation:

WEI Xinyue, ZULIYAER Talifu, ZHONG Panliang, ZHAO Yihao, WANG Yunhe, ZHENG Xiaoying, SU Binbin. Trend analysis on the disease burden among Chinese elderly population aged 60 and older from 1990 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1321-1329. doi: 10.16462/j.cnki.zhjbkz.2024.11.013

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Trend analysis on the disease burden among Chinese elderly population aged 60 and older from 1990 to 2019

doi: 10.16462/j.cnki.zhjbkz.2024.11.013

1.
Department of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
2.
Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK

WEI Xinyue and ZULIYAER Talifu contributed equally to this article

Funds:

The National Key Research and Development Program of China 2022YFC3600800

The Chinese Academy of Medical Sciences Basic Fund-Talent Introduction and Development Project 2023-RC330-01

The Population and Aging Health Science Program WH10022023035

The Postdoctoral Fellowship Program of CPSF GZC20240134

More Information

Corresponding author: ZHENG Xiaoying, E-mail: zhengxiaoying@sph.pumc.edu.cn; SU Binbin, E-mail: subinbin@sph.pumc.edu.cn
Received Date: 2024-04-17
Rev Recd Date: 2024-07-28

Available Online: 2024-12-23

Publish Date: 2024-11-10

Abstract

Abstract

Objective To analyze the trends in the disease burden among Chinese individuals aged 60 years and older from 1990 to 2019. Methods The disability-adjusted life year (DALY) data for Chinese individuals aged 60 and older from the Global Burden of Disease 2019 database, were standardized using world population figures. Long-term trends were assessed using the average annual percent of change calculated by the Joinpoint log-linear regression model to evaluate changes in disease burden among elderly in China over the study period. Results Between 1990 and 2019, the disease burden for all level 1 causes among the elderly in China showed a decreasing trend. The most significant decline was observed in communicable diseases, with the burden decreasing from 6 079.32 per 100 000 in 1990 to 2 056.84 per 100 000 in 2019. Non-communicable diseases (NCDs) were the primary contributors to the disease burden among the elderly, with a rate of 71 694.02 per 100 000 in 2019. Among level 3 causes, tuberculosis showed the most substantial decline. In 2019, stroke, ischemic heart disease, and chronic obstructive pulmonary disease were the leading causes of NCDs; lower respiratory infections and tuberculosis were the main causes of communicable diseases; and falls, road injuries, and suicide were the primary causes of injury-related disease burden. Conclusions Non-communicable diseases and injuries are increasingly becoming urgent public health issues in China. It is essential to strengthen the prevention and control of key diseases (such as cardiovascular diseases, malignancy, and musculoskeletal diseases) and focus on vulnerable populations (men and ≥85-year-olds). Managing health risk factors and modifying lifestyles are crucial for preventing disease onset and reducing the overall disease burden.
- Elderly,
- Burden of disease,
- Disability-adjusted life years,
- Trend analysis

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References(48)

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