Evidence map›Paper›PMID 39771076›Full record

ArticleToxics2024

The Impact of Blood Lead and Its Interaction with Occupational Factors and Air Pollution on Hypertension Prevalence.

Yajun Gong, Ying Wang, Qiying Nong, Peixia Hu, Zhiqiang Li, Xiangyuan Huang, Meimei Zhong, Xinyue Li, Shaomin Wu, Fangfang Zeng and 7 more

Abstract read
In one paragraph

Article in Toxics, 2024. 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

17 authors.

Yajun GongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Ying WangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou 510080, China.
Qiying NongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Peixia HuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Zhiqiang LiGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Xiangyuan HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Meimei ZhongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Xinyue LiGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Shaomin WuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou 510080, China.
Fangfang ZengDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou 510080, China.
Na ZhaoGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Yiru QinGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Suhui LiuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Jiaying HongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Ligang HuState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID 0000-0002-6213-4720
Wangjian ZhangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou 510080, China.ORCID 0000-0001-9655-6385
Yongshun HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.

Funding

Biomedical Industry Innovation Subsidy of Guangzhou Science and Technology BureauGuangdong Provincial Natural Science Foundation 2023A1515012756National Key Clinical Specialty Construction Project 2011-09National Natural Science Foundation of China 22106022
6 · The paper itself

Abstract

Large-scale epidemiological studies on the association of blood lead levels with blood pressure and hypertension prevalence are still limited, particularly among lead-exposed workers. The evidence is even more scarce on the interaction of blood lead levels with occupational variables and ambient air pollution levels. We developed mixed-effect models based on a large group of lead-exposed workers (N = 22,002). The results were also stratified by multiple groupings. Compared to participants with blood lead < 20 μg/L, those with levels > 20 μg/L had a 26-37% higher prevalence of hypertension, as well as a 0.65-13.7 mmHg higher systolic and diastolic blood pressure. Workers exposed to high PM10 levels had a 21-28% higher risk. Workers exposed to high temperatures had a 0.41-2.46 mmHg greater increase in blood pressure, and those not exposed to dust had a 1.29-1.65 mmHg greater blood pressure increase. Our findings suggested the negative impact of blood lead on blood pressure and the prevalence of hypertension, with workers exposed to high PM10 concentrations, those exposed to occupational high temperature, and those without dust exposure being more vulnerable.

Indexed as

air pollutionblood pressurehypertensionleadoccupational exposure

Identifiers

PMID39771076
PMCPMC11679143

What OpenQuestion 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 OpenQuestion graph.