Evidence map›Paper›PMID 40082571›Full record

ArticleScientific reports2025

Cross-sectional associations between multiple plasma heavy metals and lung function among elderly Chinese.

Junpu Yu, Rongxuan Zhang, Aimin Yang, Jingli Yang, Yiwen Zhang, Rongjie Wu, Fanhui Luo, Huiling Luo, Rentong Chen, Bin Luo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

11 authors.

Junpu Yu *School of Public Health, Lanzhou University, Lanzhou, China.
Rongxuan Zhang *Department of Respiratory and Critical Care Medicine, The Second Hospital of Lanzhou City, Lanzhou, China.
Aimin YangDepartment of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, Hong Kong Special Administrative Region (SAR), China.
Jingli YangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yiwen ZhangSchool of Public Health, Lanzhou University, Lanzhou, China.
Rongjie WuSchool of Public Health, Lanzhou University, Lanzhou, China.
Fanhui LuoSchool of Public Health, Lanzhou University, Lanzhou, China.
Huiling LuoDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Lanzhou City, Lanzhou, China.
Rentong ChenSchool of Public Health, Lanzhou University, Lanzhou, China.
Bin LuoSchool of Public Health, Lanzhou University, Lanzhou, China.
Li MaSchool of Public Health, Lanzhou University, Lanzhou, China. ml@lzu.edu.cn.

Funding

the Science and Technology Development Project of Health Industry in Lanzhou City 2021011the Scientific Research Project of Health Industry in Gansu Province GSWSKY2023-15
6 · The paper itself

Abstract

Environmental exposure to heavy metals may adversely affect lung function particularly in the elderly. However, limited data are available directly evaluating the relationship of heavy metal exposures with lung function in Chinese elderly. We aimed to investigate the associations between plasma metals and lung function among Chinese elderly residents. We conducted a cross-sectional study of 308 elderly residents in an industrial area and a non-industrial area in northwest China and estimated the single and combined effects of plasma metals and their interactions with lung functions (forced vital capacity [FVC], forced expiratory volume in 1 s [FEV1], and FEV1/FVC). We analyzed 12 plasma metals and identified 4 metals by lasso regression and BKMR model for further analysis. Bayesian kernel machine regression (BKMR) and quantile-g computation (QG-comp) models estimated four metals that had greater importance in lung function indicators, namely strontium (Sr), chromium (Cr), cobalt (Co) and nickel (Ni). Subgroup analyses were performed based on the resident areas. Both BKMR and QG-comp models showed metal mixtures was positively associated with FEV1/FVC (0.046 [0.017,0.075]) among all participants but of negative association with FVC, and similar results were found among participants in non-industrial area. The subgroup analysis by region showed higher heavy metal levels in industrial areas than non-industrial area. Sr concentrations were lower in non-industrial area, but they had a negative effect on FVC. In conclusion, plasma Sr, Cr, Co, and Ni levels are significant associated with lung function particularly with restrictive ventilatory dysfunction among the Chinese elderly population.

Indexed as

LungMetals, HeavyAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleEnvironmental ExposureFemaleForced Expiratory VolumeHumansMaleRespiratory Function TestsVital CapacityMetals, HeavyCross-sectional studyElderly populationHeavy metalsLung functionMixed effect

Identifiers

PMID40082571
PMCPMC11906836

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