Evidence map›Paper›PMID 41372628›Full record

ArticleCommunications medicine2025

Productivity-adjusted life year loss among the late middle-aged adults in China.

Yawen Jiang, Bingxin Hu, Huiqiao Gu, Wenjie Hu, Shan Jiang, Yuanyuan Gu, Lei Si

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Yawen JiangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China. jiangyw26@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-0498-0662
Bingxin HuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Huiqiao GuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.ORCID http://orcid.org/0009-0005-6250-4137
Wenjie HuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Shan JiangMacquarie University Centre for the Health Economy, Australian Institute of Health Innovation & Macquarie Business School, Macquarie University, Sydney, NSW, Australia.
Yuanyuan GuMacquarie University Centre for the Health Economy, Australian Institute of Health Innovation & Macquarie Business School, Macquarie University, Sydney, NSW, Australia. yuanyuan.gu@mq.edu.au.
Lei SiSchool of Health Sciences, Western Sydney University, Campbelltown, NSW, Australia.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72004242
6 · The paper itself

Abstract

backgroundProductivity-adjusted life years (PALYs) measure the impact of health conditions on an individual's ability to contribute productively to the economy. However, they have not been evaluated for the Chinese population. We aim to estimate PALYs for the Chinese population aged 50 to 64 years.

methodsWe applied the China Aging and Retirement Simulation (CHARISMA) model, a validated microsimulation model, to calculate PALYs for three age cohorts (50-54, 55-59, 60-64). PALYs were calculated by integrating workforce participation, absenteeism, and death. A probabilistic sensitivity analysis was conducted to address parameter uncertainties. PALY losses due to specific conditions were estimated by nullifying each health condition's risk separately. The results were stratified by sociodemographic factors and adjusted using 2018 population data to estimate total PALYs accrued by 2032.

resultsHere we show that the average PALYs before age 65 are 6.80, 4.35, and 1.50 years for the 50-54, 55-59, and 60-64 age groups, respectively. Significant PALY variations are observed among subgroups, with males, rural residents, and individuals with lower education exhibiting higher PALYs. From 2018 to 2032, total accrued PALYs for the cohort initially aged 50-64 in 2018 are approximately 1.24 billion years. The primary conditions contributing to PALY loss are dyslipidemia, hypertension, heart disease, diabetes, and stroke.

conclusionsThis study reveals substantial sociodemographic variations in PALYs and identifies major health conditions impacting productivity. Our results can guide targeted health interventions and policies to sustain workforce productivity and social security amid China's aging demographics.

Identifiers

PMID41372628
PMCPMC12816144

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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.