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Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis

Research indicates that higher levels of traffic-related pollution exposure increase the risk of diabetes, but the association between road proximity and diabetes risk remains unclear. To assess and quantify the association between residential proximity to major roadways and type 2 diabetes, a syste...

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Detalles Bibliográficos
Autores principales: Zhao, Zhiqing, Lin, Faying, Wang, Bennett, Cao, Yihai, Hou, Xu, Wang, Yangang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295254/
https://www.ncbi.nlm.nih.gov/pubmed/28025522
http://dx.doi.org/10.3390/ijerph14010003
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author Zhao, Zhiqing
Lin, Faying
Wang, Bennett
Cao, Yihai
Hou, Xu
Wang, Yangang
author_facet Zhao, Zhiqing
Lin, Faying
Wang, Bennett
Cao, Yihai
Hou, Xu
Wang, Yangang
author_sort Zhao, Zhiqing
collection PubMed
description Research indicates that higher levels of traffic-related pollution exposure increase the risk of diabetes, but the association between road proximity and diabetes risk remains unclear. To assess and quantify the association between residential proximity to major roadways and type 2 diabetes, a systematic review and meta-analysis was performed. Embase, Medline, and Web of Science were searched for eligible studies. Using a random-effects meta-analysis, the summary relative risks (RRs) were calculated. Bayesian meta-analysis was also performed. Eight studies (6 cohort and 2 cross-sectional) with 158,576 participants were finally included. The summary unadjusted RR for type 2 diabetes associated with residential proximity to major roadways was 1.24 (95% confidence interval [CI]: 1.07–1.44, p = 0.001, I(2) = 48.1%). The summary adjusted RR of type 2 diabetes associated with residential proximity to major roadways was 1.12 (95% CI: 1.03–1.22, p = 0.01, I(2) = 17.9%). After excluding two cross-sectional studies, the summary results suggested that residential proximity to major roadways could increase type 2 diabetes risk (Adjusted RR = 1.13; 95% CI: 1.02–1.27, p = 0.025, I(2) = 36.6%). Bayesian meta-analysis showed that the unadjusted RR and adjusted RR of type 2 diabetes associated with residential proximity to major roadways were 1.22 (95% credibility interval: 1.06–1.55) and 1.13 (95% credibility interval: 1.01–1.31), respectively. The meta-analysis suggested that residential proximity to major roadways could significantly increase risk of type 2 diabetes, and it is an independent risk factor of type 2 diabetes. More well-designed studies are needed to further strengthen the evidence.
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spelling pubmed-52952542017-02-07 Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis Zhao, Zhiqing Lin, Faying Wang, Bennett Cao, Yihai Hou, Xu Wang, Yangang Int J Environ Res Public Health Article Research indicates that higher levels of traffic-related pollution exposure increase the risk of diabetes, but the association between road proximity and diabetes risk remains unclear. To assess and quantify the association between residential proximity to major roadways and type 2 diabetes, a systematic review and meta-analysis was performed. Embase, Medline, and Web of Science were searched for eligible studies. Using a random-effects meta-analysis, the summary relative risks (RRs) were calculated. Bayesian meta-analysis was also performed. Eight studies (6 cohort and 2 cross-sectional) with 158,576 participants were finally included. The summary unadjusted RR for type 2 diabetes associated with residential proximity to major roadways was 1.24 (95% confidence interval [CI]: 1.07–1.44, p = 0.001, I(2) = 48.1%). The summary adjusted RR of type 2 diabetes associated with residential proximity to major roadways was 1.12 (95% CI: 1.03–1.22, p = 0.01, I(2) = 17.9%). After excluding two cross-sectional studies, the summary results suggested that residential proximity to major roadways could increase type 2 diabetes risk (Adjusted RR = 1.13; 95% CI: 1.02–1.27, p = 0.025, I(2) = 36.6%). Bayesian meta-analysis showed that the unadjusted RR and adjusted RR of type 2 diabetes associated with residential proximity to major roadways were 1.22 (95% credibility interval: 1.06–1.55) and 1.13 (95% credibility interval: 1.01–1.31), respectively. The meta-analysis suggested that residential proximity to major roadways could significantly increase risk of type 2 diabetes, and it is an independent risk factor of type 2 diabetes. More well-designed studies are needed to further strengthen the evidence. MDPI 2016-12-22 2017-01 /pmc/articles/PMC5295254/ /pubmed/28025522 http://dx.doi.org/10.3390/ijerph14010003 Text en © 2016 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
Zhao, Zhiqing
Lin, Faying
Wang, Bennett
Cao, Yihai
Hou, Xu
Wang, Yangang
Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title_full Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title_fullStr Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title_full_unstemmed Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title_short Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis
title_sort residential proximity to major roadways and risk of type 2 diabetes mellitus: a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295254/
https://www.ncbi.nlm.nih.gov/pubmed/28025522
http://dx.doi.org/10.3390/ijerph14010003
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