Evidence map›Paper›PMID 41250031›Full record

ArticleBMC public health2025

Cross-country health inequality in the asthma burden: findings from the global burden of disease study 2021.

Siying Zhang, Yumei Zhong, Yingjie Teng, Lijun Tang, Yun Zhou, Wenge Li, Zongshi Gao, Hui Gao, Fang-Biao Tao, Xiulong Wu

Abstract read
In one paragraph

Article in BMC public health, 2025. 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. Review
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

10 authors.

Siying Zhang *Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Yumei Zhong *Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Yingjie TengThe First Clinical college of Anhui Medical University, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Lijun TangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Yun ZhouDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Wenge LiDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Zongshi GaoThe First Clinical college of Anhui Medical University, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Hui GaoDepartment of Pediatrics, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, Anhui, 230022, China.
Fang-Biao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China.
Xiulong WuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, 230032, China. wuxiulong6@126.com.

Funding

Anhui Provincial Natural Science Foundation No. 2208085QH260Natural Science Foundation of the Higher Education Institution of Anhui Province, China No. KJ2021A0229the National Natural Scientific Foundation of China No. 82204072
6 · The paper itself

Abstract

backgroundChanges in inequality in the total and risk factor-specific incidence, prevalence, deaths, and disability-adjusted life years (DALYs) of asthma have not been evaluated.

methodsAsthma incidence, prevalence, deaths, and DALYs, and risk factors-related deaths and DALYs rates were extracted from the Global Burden of Disease study 2021. We employed decomposition analysis, encompassing aging, population growth, and epidemiologic changes, to investigate factors influencing incidence, prevalence, deaths, and DALYs of asthma. Besides, the slope inequality index (SII) and relative concentration index (RCI) were used to assess the inequality in the total and risk factor-specific incidence, prevalence, deaths, and DALYs of asthma.

resultsGlobal rates of asthma incidence, prevalence, deaths, and DALYs declined from 1990 to 2021. People aged < 5 years exhibited the highest asthma incidence, and those aged ≥ 70 years old had the highest prevalence, death, and DALYs rates of asthma. Leading drivers of increased number of asthma deaths were aging (127.48%) and population growth (138.99%), but epidemiological change contributed mostly to decreased numbers of asthma incidence, prevalence, and DALYs. Asthma incidence decreased with raising socio-demographic index (SDI), but asthma prevalence increased with increasing SDI. Inequality in asthma incidence and prevalence decreased as indicated by SII and RCI. Besides, asthma deaths and DALYs rates were concentrated in lower SDI regions. Inequality in high body mass index-related asthma death increased and concentrated in lower SDI regions, but inequality in risk factor-specific asthma DALYs all decreased.

conclusionOur findings imply that rates of asthma incidence, prevalence, deaths, and DALYs decreased, but age-specific distribution was not essentially changed. Inequality in asthma incidence and prevalence narrowed, but high body mass index-related asthma death concentrated in lower SDI regions and inequality widened. Healthcare system reforms should focus on primary risk factor and lower SDI regions.

Indexed as

AsthmaGlobal Burden of DiseaseGlobal HealthHealth Status DisparitiesAdolescentAdultAgedChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansIncidenceInfantMaleMiddle AgedAsthmaBody mass indexHealth inequalityOccupational exposureSmoking

Identifiers

PMID41250031
PMCPMC12625390

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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.