Evidence map›Paper›PMID 40817203›Full record

ArticleBMC public health2025

Short-term effects of ambient air pollution on musculoskeletal diseases in Yangzhou during 2019-2022.

Hu Zhang, Bing Wang, Wen Xiong, Junpeng Xia, Chao Zhao, Ruijun Dong, Lihong Yin, Qianqian Wang, Kaiyue Zhang

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hu ZhangSchool of Public Health, Yangzhou University, Yangzhou, 225000, People's Republic of China. zhanghu@yzu.edu.cn.
Bing WangYangzhou Centre for Disease Control and Prevention, Yangzhou, 225000, China.
Wen XiongYangzhou Centre for Disease Control and Prevention, Yangzhou, 225000, China.
Junpeng XiaYangzhou Centre for Disease Control and Prevention, Yangzhou, 225000, China.
Chao ZhaoSchool of Public Health, Yangzhou University, Yangzhou, 225000, People's Republic of China.
Ruijun DongSchool of Public Health, Yangzhou University, Yangzhou, 225000, People's Republic of China.
Lihong YinKey Laboratory of Environmental Medicine Engineering, School of Public Health, Ministry of Education, Southeast University, Nanjing, 210009, People's Republic of China.
Qianqian WangDepartment of Laboratory Medicine, Yangzhou University Hospital, Yangzhou, 225000, China.
Kaiyue ZhangYangzhou Centre for Disease Control and Prevention, Yangzhou, 225000, China. zhangky_0719@163.com.

Funding

China Postdoctoral Science Foundation No. 2024M752726National Natural Science Foundation of China No. 82404216
6 · The paper itself

Abstract

backgroundGiven the limited research on the association between air pollutants and musculoskeletal diseases (MDs), our study aimed to examine how exposure to air pollutants influenced the risk of developing musculoskeletal disorders.

methodsWe extracted daily air pollutants and musculoskeletal diseases data from 2019 to 2022 in Yangzhou. The combined effects of air pollutants particulate matte 2.5 (PM

resultsAmong the individual air pollutants, SO

conclusionOur findings indicated that short-term exposure to ambient air pollutants may elevate the risk of MDs, with particular attention warranted to the health impacts of SO

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureMusculoskeletal DiseasesAdultChinaFemaleHumansMaleMetals, HeavyMiddle AgedParticulate MatterAir PollutantsMetals, HeavyParticulate MatterAir pollutionBKMR analysisMixed exposureMusculoskeletal diseases

Identifiers

PMID40817203
PMCPMC12357448

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.