Evidence map›Paper›PMID 40314379›Full record

ArticleJournal of the American Heart Association2025

Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13-Year Longitudinal Cohort Study.

Dong Chen, Yu Long, Yudiyang Ma, Weihong Sha, Lijun Zhang, Yuying Ma, Qinming Li, Jing Feng, Ruijie Zeng, Dongling Luo and 7 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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

17 authors.

Dong ChenSchool of Medicine, South China University of Technology Guangzhou China.
Yu LongSchool of Medicine, South China University of Technology Guangzhou China.
Yudiyang MaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan China.ORCID 0000-0001-6032-3862
Weihong ShaSchool of Medicine, South China University of Technology Guangzhou China.
Lijun ZhangSchool of Medicine, South China University of Technology Guangzhou China.
Yuying MaDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Qinming LiDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Jing FengDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Ruijie ZengDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Dongling LuoGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences Guangzhou China.
Wentao HuangDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.ORCID 0000-0002-7872-8996
Yanjun WuDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Meijun MengDepartment of Gastroenterology Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou China.
Felix W LeungDavid Geffen School of Medicine, University of California Los Angeles California Los Angeles USA.ORCID 0000-0002-8313-8464
Chongyang DuanState Key Laboratory of Multi-organ Injury Prevention and Treatment, Department of Biostatistics School of Public Health, Southern Medical University Guangzhou China.ORCID 0000-0001-7973-0353
Yaohua TianMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan China.ORCID 0000-0002-9853-6991
Hao ChenSchool of Medicine, South China University of Technology Guangzhou China.ORCID 0000-0003-4339-3441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFirst cardiometabolic disorders (FCMDs) and dementia pose a significant burden on aging populations. Investigating the association between atmospheric pollutants and the progression of FCMDs and dementia is crucial.

methodsA prospective analysis was conducted on 413 149 participants from the UK Biobank. Atmospheric pollutant concentrations were calculated using land-use regression models. We used a multistate model and calculated the polygenic risk score for dementia to analyze the associations of pollutants on the relevant trajectories from baseline to FCMD, subsequent dementia, and death.

resultsOver 13 years, 65 336 patients with FCMD were identified, with 2584 developing dementia and 10 664 dying. Each interquartile range increase in pollutant concentrations showed the hazard ratios (HRs) of particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.03 [95% CI, 1.02-1.05]); nitrogen dioxide (HR, 1.04 [95% CI, 1.03-1.05]), and nitrogen oxides (HR, 1.03 [95% CI, 1.02-1.04]) for transitioning from baseline to FCMD; particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.11 [95% CI, 1.05-1.16]; nitrogen dioxide: HR, 1.12 [95% CI, 1.06-1.18]; and nitrogen oxides (HR, 1.07 [95% CI, 1.03-1.12]) for transitioning from FCMD to dementia, and the association between pollutants and this trajectory remained consistent after adjusting for genetic susceptibility to dementia (particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.06 [95% CI, 1.04-1.08]; nitrogen dioxide: HR, 1.05 ([95% CI, 1.03-1.07); and nitrogen oxides: HR, 1.05 [95% CI, 1.03-1.06]) for transitioning from baseline to death; and particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.03 ([95% CI, 1.00-1.05); nitrogen dioxide: HR, 1.05 ([95% CI, 1.02-1.08); nitrogen oxides: HR, 1.04 ([95% CI, 1.01-1.06]) for transitioning from subsequent FCMD to death. Particulate matter with aerodynamic diameter ≤10 μm was only significantly associated with the transition from baseline to FCMD.

conclusionsOur study provides the first evidence that atmospheric pollutants are associated with the progression of FCMD and subsequent dementia.

Indexed as

Air PollutantsAir PollutionDementiaEnvironmental ExposureMetabolic DiseasesAgedAged, 80 and overDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedNitrogen DioxideParticulate MatterProspective StudiesAir PollutantsNitrogen DioxideParticulate Matteratmospheric pollutantscardiometabolic disordersdementiamultistate modelprospective cohort study

Identifiers

PMID40314379
PMCPMC12184257

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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.