Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus
A Meta-Analysis
Bibliographic Data
| ID | 15477811 |
|---|---|
| Authors | Zhiqing Zhao (0000-0003-4215-2486, Tangshan People's Hospital), Faying Lin (The Eighth Hospital of Xi'an), Bennett Wang (Affiliated Hospital of Qingdao University), Yihai Cao (0000-0003-1308-0065, Karolinska Institutet), Xu Hou (0000-0002-2781-7219, Qingdao University, corresponding author), Yangang Wang (0000-0003-1298-9963, Qingdao University, corresponding author) |
| Year | 2016 |
| Volume | 14 |
| Issue | 1 |
| Pages | 3-3 |
| Publication date | 2016-12-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph14010003 |
| PMID | 28025522 |
| OpenAlex | W2561805914 |
| Language | EN |
| Citations received | 3 |
| References cited | 11 |
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, I2 = 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, I2 = 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, I2 = 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
Diabetes mellitus · Environmental health · Meta-analysis · Poison control · Type 2 diabetes · Type 2 Diabetes Mellitus · Human Factors and Ergonomics · Medicine · Urban Transport and Accessibility · Endocrinology · Internal Medicine
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |