Evidence map›Paper›PMID 41815051›Full record

ArticleJournal of diabetes research2026

Global Mortality and Disability-Adjusted Life Years Attributable to Tobacco Exposure Among Middle-Aged and Older Adults With Type 2 Diabetes, 1990-2021: A Systematic Analysis of GBD 2021 Data With Projections to 2042.

Yujun He, Minhui Liu, Bowen Xing, Hui Xu, Jiujie He, Wei Mai, Simin Qin, Zhenyi Luo, Xiaoyi Wang, Yi Xu and 1 more

Abstract read
In one paragraph

Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yujun HeDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai City,Taizhou City, Zhejiang Province, China, wmu.edu.cn.ORCID https://orcid.org/0000-0002-2713-6106
Minhui LiuDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai City,Taizhou City, Zhejiang Province, China, wmu.edu.cn.ORCID https://orcid.org/0009-0001-6711-4171
Bowen XingDepartment of Traditional Chinese Medicine, The First People's Hospital of Chenzhou City, Chenzhou City, Hunan Province, China.ORCID https://orcid.org/0009-0007-0770-7083
Hui XuFaculty of Acupuncture, Moxibustion and Tuina, Guangxi University of Chinese Medicine, Nanning City, Guangxi Province, China, gxtcm.com.ORCID https://orcid.org/0009-0005-1445-3013
Jiujie HeDepartment of Traditional Chinese Medicine, Guangxi Medical University Cancer Hospital, Nanning City, Guangxi Province, China, gxmu.edu.cn.ORCID https://orcid.org/0009-0000-8811-8692
Wei MaiDepartment of Traditional Chinese Medicine, Guangxi Medical University Cancer Hospital, Nanning City, Guangxi Province, China, gxmu.edu.cn.ORCID https://orcid.org/0009-0005-2272-7061
Simin QinRehabilitation Medicine Department, The Second Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, China, hainmc.edu.cn.ORCID https://orcid.org/0000-0001-8177-3782
Zhenyi LuoCollege of Traditional Chinese Medicine, Chongqing University of Chinese Medicine, Chongqing City, China.ORCID https://orcid.org/0000-0002-0499-1548
Xiaoyi WangDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai City,Taizhou City, Zhejiang Province, China, wmu.edu.cn.ORCID https://orcid.org/0009-0004-4403-1324
Yi XuDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai City,Taizhou City, Zhejiang Province, China, wmu.edu.cn.ORCID https://orcid.org/0009-0002-7402-0998
Yuping YeDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai City,Taizhou City, Zhejiang Province, China, wmu.edu.cn.ORCID https://orcid.org/0009-0002-9557-0446

Funding

2026 Annual General Program of Zhejiang Provincial Traditional Chinese Medicine Science and Technology Project 2026ZL1028Chongqing Bishan District Bureau of Science and TechnologyChongqing University of Chinese Medicine BSLHZX028Excellent Doctoral Research Startup Fund 2023-1General Project of Scientific Research Program of Hunan Provincial Administration of Traditional Chinese Medicine B2024153Guangxi Medical University GXMUYSF202445Guangxi Medical University Cancer Hospital 2023-9Joint Project of Scientific and Technological Innovation of the Health Commission of Hainan Province WSJK2024QN123third round of Taizhou Traditional Chinese Medicine (Integrated Traditional Chinese and Western Medicine) key (supported) disciplines Tai Wei Fa [2020] 52
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) has emerged as a pressing global health challenge, and tobacco exposure constitutes a major modifiable risk factor-particularly among middle-aged and elderly populations. However, a comprehensive understanding of the global burden of tobacco exposure-attributable mortality and disability-adjusted life years (DALYs) in this demographic remains limited.

objectiveThis study is aimed at quantifying the global burden of deaths and DALYs attributable to tobacco exposure among middle-aged and elderly individuals with T2DM from 1990 to 2021. Simultaneously, this study assesses disparities across regions, genders, and age groups; examines associations with the sociodemographic index (SDI); and forecasts trends in disease burden from 2022 to 2042.

methodUtilizing data from the Global Burden of Disease (GBD) 2021 study, which encompasses 204 countries and territories, we assessed burden counts and rates per 100,000 population among individuals aged 55 years and older. We further computed the estimated annual percentage changes (EAPCs) and applied age-period-cohort (APC) modeling, frontier analysis, and Bayesian age-period-cohort (BAPC) forecasting models to enable comprehensive analysis.

resultsGlobally, tobacco exposure-attributable T2DM deaths increased by 101.10%, and DALYs rose by 140.38%, though the mortality rate decreased by 9.13%. Regions with middle and low-middle SDI shouldered the highest burden of tobacco-attributable T2DM. High-SDI regions demonstrated the most substantial declines in burden rates, whereas low-middle-SDI regions experienced the largest relative increases. Males exhibited greater mortality and DALYs counts compared to females, while females showed more pronounced reductions in burden trends. APC modeling further indicated that advancing age correlated with elevated risks of tobacco exposure-attributable T2DM outcomes, whereas younger birth cohorts showed lower risks. Frontier analysis identified middle-SDI countries (e.g., Kiribati) as exhibiting the greatest deviation from optimal performance. Projections through 2042 indicate that the mortality rate is projected to continue declining: It will reach 9.25 per 100,000 aged ≥ 55 population in 2030 (95% CI: 8.64-9.85) and 8.57 per 100,000 aged ≥ 55 population in 2042 (95% CI: 6.89-10.24).

conclusionsTobacco exposure-attributable T2DM burden demonstrates marked variations across geographic regions, sex, and age groups, highlighting the imperative for targeted interventions in low-middle-SDI regions. Tobacco control strategies from high-SDI regions serve as scalable models for mitigating this preventable disease burden.

Indexed as

Diabetes Mellitus, Type 2Disability-Adjusted Life YearsAgedBayes TheoremFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleMiddle AgedRisk Factorsmiddle-aged and older adultstobacco exposureType 2 diabetes mellitus

Identifiers

PMID41815051
PMCPMC13140178

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.