Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782505397767110656 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5295254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhaozhiqing residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis AT linfaying residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis AT wangbennett residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis AT caoyihai residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis AT houxu residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis AT wangyangang residentialproximitytomajorroadwaysandriskoftype2diabetesmellitusametaanalysis |