Evidence map›Paper›PMID 41416451›Full record

ArticleJournal of global health2025

Ambient air pollutants, increased anaemia risk, and vulnerable subgroups: evidence from a large group of workers in South China.

Xinyue Li, Zhishen Wu, Yanjie Zhao, Xudan Chen, Zhiqiang Li, Yongqing Sun, Yajun Gong, Peixia Hu, Xiangyuan Huang, Weiyi Pan and 3 more

Abstract read
In one paragraph

Article in Journal of global 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. 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

13 authors.

Xinyue Li *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhishen Wu *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yanjie Zhao *Center for Clinical Big Data and Analytics Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xudan ChenDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhiqiang LiQingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, Shandong, China.
Yongqing SunDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Yajun GongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Peixia HuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Xiangyuan HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Weiyi PanGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Shen XieGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Wangjian ZhangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yongshun HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous epidemiological studies indicated a potential correlation between air pollution and anaemia, particularly in children, pregnant women, and the elderly. However, evidence is insufficient for workers exposed to air pollution while working in environments with other occupational hazards. Based on data from a substantial population of workers in southern China, we aimed to examine the relationships between different air pollutants and both haemoglobin (Hb) concentration and the prevalence of anaemia. Methods: In this cross-sectional analysis, we recruited 372 290 workers from the National Occupational Disease Surveillance Platform and utilised a mixed-effects model to explore the association of various air pollutants (including PM Results: Each 5 μg/m Conclusions: The Hb levels among the workers in our sample were associated with various atmospheric pollutants, with certain demographic and occupational subgroups being particularly vulnerable. These results highlight the need for targeted air pollution control and occupational health interventions, particularly for vulnerable demographic and occupational subgroups.

Indexed as

Air PollutantsAir PollutionAnemiaOccupational ExposureAdultChinaCross-Sectional StudiesFemaleHemoglobinsHumansMaleMiddle AgedParticulate MatterPrevalenceRisk FactorsYoung AdultAir PollutantsHemoglobinsParticulate Matter

Identifiers

PMID41416451
PMCPMC12715747

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Registered trials

None linked

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.