Jabbari Fatemeh, Mohseni Bandpei Anoushiravan, Daneshpour Maryam S, Shahsavani Abbas, Hashemi Nazari Seyed Saeed, Faraji Sabokbar Hassanali, Momenan Amir Abbas, Azizi Fereidoun
Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
J Diabetes Res. 2020 Sep 7;2020:2928618. doi: 10.1155/2020/2928618. eCollection 2020.
Diabetes mellitus (DM) is considered one of the leading health issues that are egregiously threatening human life throughout the world. Several epidemiological studies have examined the relationship of a particular matter < 10 m (PM10) exposure and with type 2 diabetes mellitus (T2DM) prevalence and incidence. Accordingly, the current study is a study investigating the independent influence of air pollution (AP) and rs10830963 on the incidence of T2DM. A total number of 2428 adults over 20 years of age participated in a prospective cohort (TCGS) during a 9-year follow-up phase. The concentration of AP was measured, and the obtained values were considered the mean level in three previous years since the exposure concentration took the people living in that location. The COX regression model was employed to determine the influence of AP and rs10830963 on the incidence of T2DM in adjustment with covariate factors. Among the 392 T2DM, 230 cases (58.7%) were female diabetics, and 162 (41.3%) were male diabetics. According to the multivariable-adjusted model, exposure to PM10 (per 10 m/m3), associated with the risk of T2DM, although just a borderline ( = 0.07) was found in the multivariable model (HR; 1.50, 95% CI; 1-2.32). The rs10830963 was directly associated with the incidence of diabetes, and the GG genotype increased the T2DM rate by 113% (more than two times) (HR; 2.134, 95% CI; 1.42-3.21, ≤ 0.001) and GC increased it by 65% (HR; 1.65, 95% CI; 1.24-2.21, ≤ 0.001). Long-term exposure to PM10 was associated with an increased risk of diabetes. Thus, it is suggested that the individuals with variant rs10830963 genotypes fall within a group susceptible to an increased risk of T2DM arising from AP.
糖尿病（DM）被认为是全球严重威胁人类生命的主要健康问题之一。多项流行病学研究探讨了暴露于小于10微米的颗粒物（PM10）与2型糖尿病（T2DM）患病率和发病率之间的关系。因此，本研究旨在调查空气污染（AP）和rs10830963对T2DM发病率的独立影响。在为期9年的随访阶段，共有2428名20岁以上的成年人参与了一项前瞻性队列研究（TCGS）。测量了AP的浓度，并将获得的值视为自暴露浓度涵盖该地区居民以来前三年的平均水平。采用COX回归模型来确定AP和rs10830963在调整协变量因素后对T2DM发病率的影响。在392例T2DM患者中，230例（58.7%）为女性糖尿病患者，162例（41.3%）为男性糖尿病患者。根据多变量调整模型，暴露于PM10（每10微克/立方米）与T2DM风险相关，尽管在多变量模型中仅发现临界值（P = 0.07）（风险比；1.50，95%置信区间；1 - 2.32）。rs10830963与糖尿病发病率直接相关，GG基因型使T2DM发病率增加了113%（超过两倍）（风险比；2.134，95%置信区间；1.42 - 3.21，P≤0.001），GC基因型使其增加了65%（风险比；1.65，95%置信区间；1.24 - 2.21，P≤0.001）。长期暴露于PM10与糖尿病风险增加相关。因此，建议具有rs10830963基因变异基因型的个体属于因空气污染而患T2DM风险增加的易感人群。
