Evidence map›Paper›PMID 41613083›Full record

ArticleFrontiers in public health2025

Global, regional, and national burden of cardiovascular diseases attributable to secondhand smoke, 1990-2021.

Yunfeng Yu, Keke Tong, Xiangning Huang, Yuman Yin, Siyang Bai, Chenlu Guo, Liangjing Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yunfeng Yu *School of Medicine, Jishou University, Jishou, China.
Keke Tong *School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Xiangning HuangDepartment of Endocrinology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Yuman YinSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Siyang BaiSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Chenlu GuoDepartment of Endocrinology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Liangjing LiuSchool of Medicine, Jishou University, Jishou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study assessed the global burden and trends of cardiovascular diseases attributable to secondhand smoke (CVD-SHS) from 1990 to 2021. Methods: The global burden of disease (GBD) database was utilized to analyze estimated annual percentage change (EAPC), age-standardized mortality rates (ASMR), age-standardized DALY rates (ASDR), disability-adjusted life years (DALYs), and deaths due to CVD-SHS. Subsequently, further analysis was conducted by region, age group, sex, and socio-demographic index (SDI). Finally, Spearman correlation analyses were used to assess the correlation of ASDR and ASMR with SDI. Results: From 1990 to 2021, global CVD-SHS deaths and DALYs increased by 34.5 and 23.1%, respectively, while ASMR and ASDR decreased by 41.8 and 42.0%. In 2021, CVD-SHS deaths totaled 694,692 (ASMR 8.31/100,000), with DALYs at 16,674,552 (ASDR 194.59/100,000). Regionally, the highest ASDR and ASMR were observed in low-middle and middle SDI regions, with minimal reductions in low SDI regions. Correlation analysis indicated that ASMR and ASDR, as well as their EAPCs, were negatively correlated with SDI. Moreover, CVD-SHS burden was higher in males and older age groups, predominantly affecting those aged 35 and above in lower SDI regions, and those aged 65 and above in high SDI regions. Conclusion: From 1990 to 2021, the global, regional, and national burden of CVD-SHS showed a paradoxical trend: while ASMR and ASDR declined, the absolute number of deaths and DALYs continued to rise. The burden and its growth rate were negatively correlated with SDI, with the highest impacts observed in low- and middle-SDI regions, males, and older populations. Moreover, stroke-SHS showed a stronger negative correlation with SDI than IHD-SHS, suggesting subtype-specific disparities. These findings highlight the persistent and uneven burden of CVD-SHS worldwide and underscore the need for targeted, region- and disease-specific prevention strategies.

Indexed as

Cardiovascular DiseasesGlobal Burden of DiseaseGlobal HealthTobacco Smoke PollutionAdultAgedDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedTobacco Smoke Pollutionage-standardized ratecardiovascular diseasesglobal burden of diseasesecondhand smokesocio-demographic index

Identifiers

PMID41613083
PMCPMC12847253

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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.