Evidence map›Paper›PMID 40197546›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Changes and trends in mortality, disability-adjusted life years, life expectancy, and healthy life expectancy in China from 1990 to 2021: a secondary analysis of the global burden of disease 2021.

Xuelin Cheng, Wenchang Jia, Jing Zhou, Yaxin Xu, Jian Zou, Ming Liu, Sunfang Jiang, Xiaopan Li

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Bayesian age-period-cohort analysis and trend prediction of epilepsy disease burden in China, 1990-2021.Epileptic disorders : international epilepsy journal with videotape · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xuelin Cheng *Department of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China.
Wenchang Jia *Department of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China.
Jing Zhou *Department of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China.
Yaxin XuDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China.
Jian ZouDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China.
Ming LiuDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China. mingliu14@fudan.edu.cn.
Sunfang JiangDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China. zsjkglzx@163.com.
Xiaopan LiDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd., Xuhui, 200032, Shanghai, China. xiaopanli0224@126.com.

Funding

Sunfang Jiang 2022YFC3600901
6 · The paper itself

Abstract

backgroundThe aging population in China is increasingly evident, leading to a shift in the patterns of disease burden. This study aims to investigate changes and trends in mortality, disability-adjusted life years (DALYs), life expectancy (LE), and health-adjusted life expectancy (HALE) in China from 1990 to 2021.

methodsThis study presents a secondary analysis of data from the Global Burden of Disease Study 2021, with a focus on mortality, DALYs, LE, and HALE. We examined changes in these indicators in China from 1990 to 2021, comparing them with global averages and across five SDI regions. Using Joinpoint Regression Software, we analyzed trends in the top ten cause-specific DALY rates in 2021. Furthermore, we employed the Bayesian Age-Period-Cohort model to forecast age-standardized rates (ASR) of mortality for the next decade.

resultsChina witnessed a decrease in the ASRs of mortality (1198.16/100,000 [1098.61-1294.10] to 644.68/100,000 [555.12-735.51]) and DALYs (43085.42/100,000 [39330.62-47273.39] to 22717.19/100,000 [19748.18-25903.34]) from 1990 to 2021. During the COVID-19 pandemic, the ASRs of mortality and DALY declined in China (23009.47/100,000 [19661.21-26495.58] in 2019), but global rates and those across the five SDI (Socio-demographic Index) regions increased. Projections indicate a continued decline in the ASRs of mortality over the next decade, from 2019 to 2035 and 2021 to 2035. Notably, DALY rates for the top 10 level 2 causes in 2021 decreased over the past three decades, except for musculoskeletal disorders (AAPC% 95%CI, 0.10 [0.07-0.14], men; 0.05 [-0.02-0.13], women) and sense organ diseases (AAPC% 95%CI, 0.38 [0.33-0.43], men; 0.35 [0.30-0.41], women). LE and HALE increased across all age groups in China over the same period, although there was no significant change in the HALE/LE ratio.

conclusionEffective policy implementation and technological advancements could play a crucial role in alleviating disease burdens associated with aging in China, thereby reducing the country's all-cause mortality rate and enhancing the quality of life for its residents.

Indexed as

Disability-adjusted life yearHealthy life expectancyLife expectancyPopulation aging

Identifiers

PMID40197546
PMCPMC11974174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.