Bin Wang1, Donghua Xu2, Zhaohai Jing2, Dawei Liu2, Shengli Yan2, Yangang Wang3. 1. Department of EndocrinologyThe Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, ChinaEssencemed ClinicWeifang 261000, ChinaDepartment of RheumatologyFirst Affiliated Hospital of Nanjing Medical University, Nanjing 210029, ChinaDepartment of Urinary SurgerySouthwest Hospital Affiliated to Third Military Medical University, Chongqing 400038, China Department of EndocrinologyThe Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, ChinaEssencemed ClinicWeifang 261000, ChinaDepartment of RheumatologyFirst Affiliated Hospital of Nanjing Medical University, Nanjing 210029, ChinaDepartment of Urinary SurgerySouthwest Hospital Affiliated to Third Military Medical University, Chongqing 400038, China nlwang@126.com robin.wangqy@gmail.com. 2. Department of EndocrinologyThe Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, ChinaEssencemed ClinicWeifang 261000, ChinaDepartment of RheumatologyFirst Affiliated Hospital of Nanjing Medical University, Nanjing 210029, ChinaDepartment of Urinary SurgerySouthwest Hospital Affiliated to Third Military Medical University, Chongqing 400038, China. 3. Department of EndocrinologyThe Affiliated Hospital of Medical College, Qingdao University, Qingdao 266003, ChinaEssencemed ClinicWeifang 261000, ChinaDepartment of RheumatologyFirst Affiliated Hospital of Nanjing Medical University, Nanjing 210029, ChinaDepartment of Urinary SurgerySouthwest Hospital Affiliated to Third Military Medical University, Chongqing 400038, China nlwang@126.com robin.wangqy@gmail.com.
Abstract
OBJECTIVE: To assess the effect of long-term exposure to air pollution on type 2 diabetes risk, a meta-analysis of prospective cohort studies was performed. METHODS: Literature search was conducted with Pubmed, Embase, and Web of Science for prospective cohort studies investigating the association of type 2 diabetes risk with increments in particulate matter (PM, diameter<2.5 μm (PM2.5) or <10 μm (PM10)) or nitrogen dioxide (NO2). We used a random-effects model to calculate the overall relative risk (RR) with 95% CI. RESULTS: Of 808 identified articles, ten cohort studies were finally included, which involved a total of 2 37,1 907 participants and 21,095 incident cases of type 2 diabetes. Elevated risk of type 2 diabetes was significantly associated with long-term exposures to high levels of PM2.5 (RR=1.28, 95% CI 1.06-1.55, P=0.009, I2=83.5%), PM10 (RR=1.15, 95% CI 1.02-1.30, P=0.022, I2=0%), and NO2 (RR=1.12, 95% CI 1.02-1.23, P=0.015, I2=63.5%). When using standardized risk estimates, the RRs of type 2 diabetes were significant for increments in concentrations of PM2.5 (1.39 per 10 μg/m3 increment, 95% CI 1.14-1.68, P=0.001), PM10 (1.34 per 10 μg/m3 increment, 95% CI 1.22-1.47, P<0.001), and NO2 (1.11 per 10 μg/m3 increment, 95% CI 1.07-1.16, P<0.001). No obvious evidence of publication bias was observed. CONCLUSION: Long-term exposure to high levels of main air pollutants is significantly associated with elevated risk of type 2 diabetes mellitus.
OBJECTIVE: To assess the effect of long-term exposure to air pollution on type 2 diabetes risk, a meta-analysis of prospective cohort studies was performed. METHODS: Literature search was conducted with Pubmed, Embase, and Web of Science for prospective cohort studies investigating the association of type 2 diabetes risk with increments in particulate matter (PM, diameter<2.5 μm (PM2.5) or <10 μm (PM10)) or nitrogen dioxide (NO2). We used a random-effects model to calculate the overall relative risk (RR) with 95% CI. RESULTS: Of 808 identified articles, ten cohort studies were finally included, which involved a total of 2 37,1 907 participants and 21,095 incident cases of type 2 diabetes. Elevated risk of type 2 diabetes was significantly associated with long-term exposures to high levels of PM2.5 (RR=1.28, 95% CI 1.06-1.55, P=0.009, I2=83.5%), PM10 (RR=1.15, 95% CI 1.02-1.30, P=0.022, I2=0%), and NO2 (RR=1.12, 95% CI 1.02-1.23, P=0.015, I2=63.5%). When using standardized risk estimates, the RRs of type 2 diabetes were significant for increments in concentrations of PM2.5 (1.39 per 10 μg/m3 increment, 95% CI 1.14-1.68, P=0.001), PM10 (1.34 per 10 μg/m3 increment, 95% CI 1.22-1.47, P<0.001), and NO2 (1.11 per 10 μg/m3 increment, 95% CI 1.07-1.16, P<0.001). No obvious evidence of publication bias was observed. CONCLUSION: Long-term exposure to high levels of main air pollutants is significantly associated with elevated risk of type 2 diabetes mellitus.
Authors: R Mazzucchelli; N Crespi Villarias; E Perez Fernandez; M L Durban Reguera; A Garcia-Vadillo; F J Quiros; O Guzon; G Rodriguez Caravaca; A Gil de Miguel Journal: Osteoporos Int Date: 2018-08-09 Impact factor: 4.507