Evidence map›Paper›PMID 40341142›Full record

ArticleBMJ global health2025

Quantifying the loss of healthy life expectancy due to population ageing: health benefit estimation from a global perspective.

Jun-Yan Xi, Jian-Guang Zhao, Xue-Qi Li, Bo Yan, Jian-Jun Bai, Yi-Ning Xiang, Wei Hu, Jie Hu, Yu Liao, Jing Gu and 2 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

12 authors.

Jun-Yan XiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0001-7473-7783
Jian-Guang ZhaoTianjin Medical Service Evaluation and Guidance Center, Tianjin Municipal Health Commission, Tianjin, China.
Xue-Qi LiChengdu Integrated TCM and Western Medicine Hospital (Chengdu First People's Hospital), Chengdu, Sichuan, China.
Bo YanSchool of Health Sciences, Guangzhou Xinhua University, Guangzhou, Guangdong, China.
Jian-Jun BaiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yi-Ning XiangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Wei HuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jie HuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yu LiaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China haoyt@bjmu.edu.cn linx87@mail.sysu.edu.cn gujing5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5436-2339
Xiao LinDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China haoyt@bjmu.edu.cn linx87@mail.sysu.edu.cn gujing5@mail.sysu.edu.cn.
Yuan-Tao HaoDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China haoyt@bjmu.edu.cn linx87@mail.sysu.edu.cn gujing5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-4146-9262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveInvesting in health to improve healthy life expectancy (HLE) is fundamental to create a demographic dividend. However, how dramatic population ageing affects HLE remains unknown. This study aims to quantify and project the major diseases and injuries attributed to changes in population size and age structure that contributed to substantial losses in HLE.

methodsUsing data from 188 countries in the Global Burden of Disease Study 2021 and World Population Prospects 2024, we assessed the correlation between HLE and total dependency ratios. Furthermore, we decomposed the mortality and disability burden attributable to changes in population size as well as age structure for 22 disease and injury categories and then quantified the loss of HLE due to the attributable burden. Additionally, we projected the loss of HLE due to priority diseases in 2030, while considering the impact of population ageing.

resultsFrom 2010 to 2019, globally, the mortality and disability burden attributable to age structure caused 0.40 years and 0.71 years of HLE loss, while for population size, these two estimates were 1.18 years and 1.00 years. By 2030, the mortality and disability burden attributable to age structure may lead to 0.76 years and 0.89 years of HLE loss, while for population size, these two predictions will be 1.21 years and 1.17 years. DISCUSSION: Population size growth is a consistent and crucial contributor to HLE losses. Reaping the second demographic dividend requires eliminating the double burden of premature death caused by infectious and chronic diseases, whereas gaining the sustainable third demographic dividend requires investments in healthy and successful ageing.

Indexed as

AgingGlobal HealthLife ExpectancyAdultAgedAged, 80 and overFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedAgingGlobal HealthInfections, diseases, disorders, injuriesPublic Health

Identifiers

PMID40341142
PMCPMC12060892

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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.