Evidence map›Paper›PMID 41478825›Full record

ArticleThe journal of prevention of Alzheimer's disease2026

Association between plasma metal element profiles and cognitive impairment in occupationally aluminum-exposed workers at a large aluminum plant in northern China.

Xin Guo, Fangyu Gao, Mujia Li, Baolong Pan, Feng Gao, Shanshan Wang, Jingsi Zhang, Xiaoting Lu, Jing Song, Linping Wang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Xin GuoSection of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China; Sixth Hospital of Shanxi Medical University, Taiyuan, Shanxi 030008, China.
Fangyu GaoDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China; Sixth Hospital of Shanxi Medical University, Taiyuan, Shanxi 030008, China.
Mujia LiDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Baolong PanSixth Hospital of Shanxi Medical University, Taiyuan, Shanxi 030008, China.
Feng GaoSixth Hospital of Shanxi Medical University, Taiyuan, Shanxi 030008, China.
Shanshan WangDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Jingsi ZhangDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Xiaoting LuDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Jing SongDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Linping WangDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Huifang ZhangDepartment of Occupational Health, School of Public Health, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
Qiao NiuSection of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China; Sixth Hospital of Shanxi Medical University, Taiyuan, Shanxi 030008, China. Electronic address: NiuQiao55@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the association between plasma levels of multiple metals and cognitive impairment (CI) in 455 aluminum electrolysis workers from a northern Chinese plant, divided into CI (256) and control (199) groups by MoCA scores. Using inductively coupled plasma mass spectrometry, 11 metals were measured, with analyses via conditional logistic regression,generalized linear models (GLM), Bayesian kernel machine regression (BKMR), and age stratification (40 years). Plasma aluminum (Al), lead (Pb), lithium (Li), manganese, cobalt, and copper were significantly higher in the CI group (all P < 0.05), while zinc showed no difference. Single-element analysis found Al, Pb, and Li negatively correlated with MoCA total and subscores (e.g., visuospatial function; P < 0.05), and zinc positively correlated with attention (β = 1.10, P < 0.05). BKMR confirmed metal mixtures above the 25th percentile reduced MoCA scores (β = -0.875, 95 % CI: -1.379 to -0.371), with Al, Pb, and Li as key contributors (PIP > 0.6). Subgroup analysis showed Al primarily affected those <40, while Pb had greater impact in those >40. Findings indicate elevated Al, Pb, and Li associate with higher CI risk, metal mixtures synergistically exacerbate impairment, and age modifies these effects, aiding occupational cognitive impairment prevention.

Indexed as

AluminumCognitive DysfunctionMetalsOccupational ExposureAdultChinaFemaleHumansLeadMaleMiddle AgedAluminumLeadMetalsBayesian kernel regressionCognitive functionOccupational aluminum exposureOccupational healthPlasma metal elements

Identifiers

PMID41478825
PMCPMC12988366

What OpenQuestion holds

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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.