Evidence map›Paper›PMID 33539701›Full record

ArticleClinical and experimental pediatrics2021

Correlation between total air pollutant emissions and incidence of type 1 diabetes in the Russian Federation.

Hoon Sung Choi, Jin Taek Kim, Ji-Young Seo, Faina Linkov, Evgeniy Shubnikov, Hong Kyu Lee

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

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Ambient air pollution and pediatric diabetes.Clinical and experimental pediatrics · 2021
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hoon Sung ChoiDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea.
Jin Taek KimDepartment of Internal Medicine, Eulji General Hospital, Eulji University School of Medicine, Seoul, Korea.
Ji-Young SeoDepartment of Pediatrics, Eulji General Hospital, Eulji University School of Medicine, Seoul, Korea.
Faina LinkovDepartment of Health Administration and Public Health, Rangos School of Health Sciences, Duquesne University, Pittsburgh, PA, USA.
Evgeniy ShubnikovCenter for Endocrinology "SibDiab", Novosibirsk, Russian Federation.
Hong Kyu LeeDepartment of Internal Medicine, Eulji General Hospital, Eulji University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExposure to air pollution (gaseous pollutants and/or particulate matter) has been associated with the incidence, prevalence, and mortality of type 1 diabetes (T1D). PURPOSE: To examine the quantitative relationship between air pollutant emissions and the incidence of T1D.

methodsWe examined the association between the incidence of T1D and type 2 diabetes (T2D) in 2017 as well as that of T1D in patients younger than 15 years in 2016 with "emissions of air-polluting substances from stationary and mobile sources by regions of the Russian Federation in 2016" as reported by the Federal Diabetes Register of Russia downloaded from the Russian government website (http://www.mnr.gov.ru/docs/gosudarstvennye_doklady/o_sostoyanii_i_ob_okhrane_okruzhayushchey_sredy_rossiyskoy_federatsii/).

resultsThe incidence of T1D across all ages in each region of the Russian Federation correlated with the total air pollutants emitted in the region each year (r=0.278, P=0.013). The incidence of T2D was also correlated with the amount of air pollutants (r=0.234, P=0.037) and the incidence of T1D (r=0.600, P<0.001) in each country. Similarly, the incidence of T1D in patients younger than 15 years correlated with the total air pollutants emitted each year in each region (r=0.300, P=0.011).

conclusionThe quantitative relationship between the total air pollutants emitted and the incidence of T1D and T2D in the Russian Federation suggests that air pollution contributes to the development of T1D and T2D.

Indexed as

Air pollutionIncidenceType 1 diabetes

Identifiers

PMID33539701
PMCPMC8498011

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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.