Evidence map›Paper›PMID 34607405›Full record

ArticleEpidemiology and health2021

Cohort profile: the Environmental-Pollution-Induced Neurological EFfects (EPINEF) study: a multicenter cohort study of Korean adults.

Heeseon Jang, Woojin Kim, Jaelim Cho, Jungwoo Sohn, Juhwan Noh, Gayoung Seo, Seung-Koo Lee, Young Noh, Sung Soo Oh, Sang-Baek Koh and 6 more

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Epidemiology and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

16 authors at 7 institutions in 1 country.

Heeseon JangDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Woojin KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Jaelim ChoDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Jungwoo SohnDepartment of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, Korea.
Juhwan NohDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Gayoung SeoDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Seung-Koo LeeDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Young NohDepartment of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Sung Soo OhDepartment of Occupational and Environmental Medicine, Wonju College of Medicine, Yonsei University, Wonju, Korea.
Sang-Baek KohDepartment of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Korea.
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ho Hyun KimDepartment of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, Korea.
Jung Il LeeKorea Testing and Research Institute, Gwacheon, Korea.
Sun-Young KimDepartment of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.
Changsoo KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRPyeongtaek University · KRGachon University · KRJeonbuk National University · KRKorea Testing & Research Institute · KRNational Cancer Center · KRSamsung Medical Center · KR

Funding

Ministry of Environment 2014001360002
6 · The paper itself

Abstract

The general population is exposed to numerous environmental pollutants, and it remains unclear which pollutants affect the brain, accelerating brain aging and increasing the risk of dementia. The Environmental-Pollution-Induced Neurological Effects study is a multi-city prospective cohort study aiming to comprehensively investigate the effect of different environmental pollutants on brain structures, neuropsychological function, and the development of dementia in adults. The baseline data of 3,775 healthy elderly people were collected from August 2014 to March 2018. The eligibility criteria were age ≥50 years and no self-reported history of dementia, movement disorders, or stroke. The assessment included demographics and anthropometrics, laboratory test results, and individual levels of exposure to air pollution. A neuroimaging sub-cohort was also recruited with 1,022 participants during the same period, and brain magnetic resonance imaging and neuropsychological tests were conducted. The first follow-up environmental pollutant measurements will start in 2022 and the follow-up for the sub-cohort will be conducted every 3-4 years. We have found that subtle structural changes in the brain may be induced by exposure to airborne pollutants such as particulate matter 10 μm or less in diameter (PM10), particulate matter 2.5 μm or less in diameter (PM2.5) and Mn10, manganese in PM10; Mn2.5, manganese in PM2.5. PM10, PM2.5, and nitrogen dioxide in healthy adults. This study provides a basis for research involving large-scale, long-term neuroimaging assessments in community-based populations.

Indexed as

Air PollutantsAdultAgedCohort StudiesEnvironmental ExposureHumansMiddle AgedProspective StudiesRepublic of KoreaAir PollutantsCohort studiesEnvironmental pollutantsMagnetic resonance imagingNeurodegenerative diseasesNeuropsychological tests

Identifiers

PMID34607405
PMCPMC8689119
OpenAlexW3199080850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.