Cargando…

Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis

In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studie...

Descripción completa

Detalles Bibliográficos
Autores principales: Dang, Jiajia, Yang, Mengtong, Zhang, Xinge, Ruan, Haotian, Qin, Guiyu, Fu, Jialin, Shen, Ziqiong, Tan, Anran, Li, Rui, Moore, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266153/
https://www.ncbi.nlm.nih.gov/pubmed/30463387
http://dx.doi.org/10.3390/ijerph15112593
_version_ 1783375774215045120
author Dang, Jiajia
Yang, Mengtong
Zhang, Xinge
Ruan, Haotian
Qin, Guiyu
Fu, Jialin
Shen, Ziqiong
Tan, Anran
Li, Rui
Moore, Justin
author_facet Dang, Jiajia
Yang, Mengtong
Zhang, Xinge
Ruan, Haotian
Qin, Guiyu
Fu, Jialin
Shen, Ziqiong
Tan, Anran
Li, Rui
Moore, Justin
author_sort Dang, Jiajia
collection PubMed
description In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM(2.5) (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO(2)(nitrogen dioxide), and PM(10) (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m(3) increase in NO(2) associated with a significant 1.25% change (95% CI: 0.67, 1.84; I(2) = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I(2) = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO(2), a 1 μg/m(3) increase in PM(10) was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I(2) = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I(2) = 58.66%, p = 0.057). No significant associations were found between PM(2.5) and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them.
format Online
Article
Text
id pubmed-6266153
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-62661532018-12-15 Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis Dang, Jiajia Yang, Mengtong Zhang, Xinge Ruan, Haotian Qin, Guiyu Fu, Jialin Shen, Ziqiong Tan, Anran Li, Rui Moore, Justin Int J Environ Res Public Health Article In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM(2.5) (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO(2)(nitrogen dioxide), and PM(10) (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m(3) increase in NO(2) associated with a significant 1.25% change (95% CI: 0.67, 1.84; I(2) = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I(2) = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO(2), a 1 μg/m(3) increase in PM(10) was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I(2) = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I(2) = 58.66%, p = 0.057). No significant associations were found between PM(2.5) and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them. MDPI 2018-11-20 2018-11 /pmc/articles/PMC6266153/ /pubmed/30463387 http://dx.doi.org/10.3390/ijerph15112593 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dang, Jiajia
Yang, Mengtong
Zhang, Xinge
Ruan, Haotian
Qin, Guiyu
Fu, Jialin
Shen, Ziqiong
Tan, Anran
Li, Rui
Moore, Justin
Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title_full Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title_fullStr Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title_full_unstemmed Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title_short Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis
title_sort associations of exposure to air pollution with insulin resistance: a systematic review and meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266153/
https://www.ncbi.nlm.nih.gov/pubmed/30463387
http://dx.doi.org/10.3390/ijerph15112593
work_keys_str_mv AT dangjiajia associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT yangmengtong associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT zhangxinge associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT ruanhaotian associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT qinguiyu associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT fujialin associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT shenziqiong associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT tananran associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT lirui associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis
AT moorejustin associationsofexposuretoairpollutionwithinsulinresistanceasystematicreviewandmetaanalysis