Abstract P067: Long-term Exposure to Ambient Air Pollution and Type 2 Diabetes Incidence: A Time Series Analysis

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Guozhang Xu ◽  
Donghuui Duan ◽  
Dingyun You ◽  
Jiaying Xu ◽  
Xiaoqi Feng ◽  
...  

Introduction: Epidemiological evidence on long-term exposure to ambient air pollution and type 2 diabetes (T2D) incidence are sparse, and the results are contradictory. Hypothesis: We performed a time-series analysis to investigate potential association between long-term exposure to ambient air pollution and T2D incidence in the Chinese population. Methods: Monthly time-series data between 2008-2015 on ambient air pollutants and incident T2D were obtained from the Environment Monitoring Center of Ningbo and the Chronic Disease Surveillance System of Ningbo. Relative risks (RRs) and 95% confidence intervals (95%CIs) of incident T2D per 10 μg/m 3 increase in ambient air pollutants were estimated from Poisson generalized additive models and adjusted for month, temperature, relative humidity, air pressure and wind speed. This model was combined with a distributed lag non-linear model to determine the relative risks. Main Outcome Measures: The main outcome measure was T2D incidence. Results: Long-term exposure to particulate matter <10 μm (PM10) and Sulphur dioxide (SO2) were associated with increased T2D incidence. The relative risks (RRs) of each increment in 10 μg/m 3 of PM10 and SO2 were 1.62 (95%CI, 1.16 to 2.28) and 1.63 (95%CI, 1.12 to 2.38) for overall participants, 1.56 (95%CI, 1.12 to 2.17) and 1.59 (95%CI, 1.14 to 2.23) for males, 1.68 (95%CI, 1.15 to 2.44) and 1.76 (95%CI, 1.21 to 2.56) for females, respectively. Whereas for ozone (O3) exposure, the RRs were 0.78 (95%CI, 0.68 to 0.90) for overall participants, 0.78 (95%CI, 0.69 to 0.90) for males, and 0.78 (95%CI, 0.67 to 0.91) for females, respectively. Female participants were more prone to develop T2D after long-term exposed to ambient air pollutants than male counterparts. No statistically significant associations were observed for PM2.5, NO2, and CO exposures, nor in the two- and three-pollutant models. Conclusions: Long-term exposure to PM10 and SO2 is positively associated with T2D incidence, whereas O3 is negatively associated with T2D incidence.

Author(s):  
Lisha Luo ◽  
Yunquan Zhang ◽  
Junfeng Jiang ◽  
Hanghang Luan ◽  
Chuanhua Yu ◽  
...  

In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 in Taiyuan were included in our study. We conducted a time-series study design and applied a generalized additive model to evaluate the association between every 10-μg/m3 increment of air pollutants and percent increase of respiratory disease hospitalization. A total of 127,565 respiratory disease hospitalization cases were included in this study during the present period. In single-pollutant models, the effect values in multi-day lags were greater than those in single-day lags. PM2.5 at lag02 days, SO2 at lag03 days, PM10 and NO2 at lag05 days were observed to be strongly and significantly associated with respiratory disease hospitalization. No significant association was found between O3 and respiratory disease hospitalization. SO2 and NO2 were still significantly associated with hospitalization after adjusting for PM2.5 or PM10 into two-pollutant models. Females and younger population for respiratory disease were more vulnerable to air pollution than males and older groups. Therefore, some effective measures should be taken to strengthen the management of the ambient air pollutants, especially SO2 and NO2, and to enhance the protection of the high-risk population from air pollutants, thereby reducing the burden of respiratory disease caused by ambient air pollution.


2019 ◽  
Vol 6 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Robin C. Puett ◽  
Lesliam Quirós-Alcalá ◽  
Jessica A Montresor-López ◽  
Nedelina Tchangalova ◽  
Anindita Dutta ◽  
...  

PLoS Medicine ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. e1003767
Author(s):  
Xiang Li ◽  
Mengying Wang ◽  
Yongze Song ◽  
Hao Ma ◽  
Tao Zhou ◽  
...  

Background Air pollution has been related to incidence of type 2 diabetes (T2D). We assessed the joint association of various air pollutants with the risk of T2D and examined potential modification by obesity status and genetic susceptibility on the relationship. Methods and findings A total of 449,006 participants from UK Biobank free of T2D at baseline were included. Of all the study population, 90.9% were white and 45.7% were male. The participants had a mean age of 56.6 (SD 8.1) years old and a mean body mass index (BMI) of 27.4 (SD 4.8) kg/m2. Ambient air pollutants, including particulate matter (PM) with diameters ≤2.5 μm (PM2.5), between 2.5 μm and 10 μm (PM2.5–10), nitrogen oxide (NO2), and nitric oxide (NO) were measured. An air pollution score was created to assess the joint exposure to the 4 air pollutants. During a median of 11 years follow-up, we documented 18,239 incident T2D cases. The air pollution score was significantly associated with a higher risk of T2D. Compared to the lowest quintile of air pollution score, the hazard ratio (HR) (95% confidence interval [CI]) for T2D was 1.05 (0.99 to 1.10, p = 0.11), 1.06 (1.00 to 1.11, p = 0.051), 1.09 (1.03 to 1.15, p = 0.002), and 1.12 (1.06 to 1.19, p < 0.001) for the second to fifth quintile, respectively, after adjustment for sociodemographic characteristics, lifestyle factors, genetic factors, and other covariates. In addition, we found a significant interaction between the air pollution score and obesity status on the risk of T2D (p-interaction < 0.001). The observed association was more pronounced among overweight and obese participants than in the normal-weight people. Genetic risk score (GRS) for T2D or obesity did not modify the relationship between air pollution and risk of T2D. Key study limitations include unavailable data on other potential T2D-related air pollutants and single-time measurement on air pollutants. Conclusions We found that various air pollutants PM2.5, PM2.5–10, NO2, and NO, individually or jointly, were associated with an increased risk of T2D in the population. The stratified analyses indicate that such associations were more strongly associated with T2D risk among those with higher adiposity.


2021 ◽  
Author(s):  
Yaqi Liu ◽  
Yi Jiang ◽  
Manyi Wu ◽  
Sunghar Muheyat ◽  
Dongai Yao ◽  
...  

Abstract Background There are few studies focused on the correlations between ambient air pollution and abdominal pain, especially in emergency departments in China. Method: Daily data (from January 1, 2016 to December 31, 2018), including air pollution concentration (SO2, NO2, PM2.5, PM10, CO, and O3) and meteorological variables, for daily emergency room visits (ERVs) were collected in Wuhan, China. We conducted a time-series study to investigate the potential correlation between six ambient air pollutants and ERVs for abdominal pain and their effects, in different genders, ages and seasons. Results A total of 16,306 abdominal pain ERVs were identified during the study period. A 10-µg/m3 increase in concentration of SO2, NO2, PM2.5, PM10, CO, and O3 corresponded respectively to incremental increases in abdominal pain of 6.12% (95% confidence interval [CI]: -0.44-13.12), 1.65% (95%CI: -0.25-3.59), 1.12% (95%CI: -0.18-2.44), 0.38% (95%CI: -1.09-1.87), 9.87% (95%CI:3.14–17.05) and 1.11% (95%CI: 0.03–2.21). We observed significant correlations between CO and O3 and daily abdominal pain ERVs increase, and positive but insignificant correlations between the other pollutants and ERVs. The effects were stronger mainly for females (especially SO2 and O3) and younger people (especially CO and O3). The correlations of PM2.5 and PM10 were stronger in cool seasons, while the correlation of CO was stronger in warm seasons. Conclusion Our time-series study suggested that short-term exposure to air pollution (especially CO and O3) was positively correlated with ERVs for abdominal pain in Wuhan, China, and that their effects varied by season, gender and age. These data can add evidence on how air pollutants affect the human body, and may prompt hospitals to take specific precautions on polluted days and maintain order in emergency departments made busier due to the pollution.


Author(s):  
Juha Baek ◽  
Bita A. Kash ◽  
Xiaohui Xu ◽  
Mark Benden ◽  
Jon Roberts ◽  
...  

Few studies have evaluated the association between ambient air pollution and hospital readmissions among children with asthma, especially in low-income communities. This study examined the short-term effects of ambient air pollutants on hospital readmissions for pediatric asthma in South Texas. A time-stratified case-crossover study was conducted using the hospitalization data from a children’s hospital and the air pollution data, including particulate matter 2.5 (PM2.5) and ozone concentrations, from the Centers for Disease Control and Prevention between 2010 and 2014. A conditional logistic regression analysis was performed to investigate the association between ambient air pollution and hospital readmissions, controlling for outdoor temperature. We identified 111 pediatric asthma patients readmitted to the hospital between 2010 and 2014. The single-pollutant models showed that PM2.5 concentration had a significant positive effect on risk for hospital readmissions (OR = 1.082, 95% CI = 1.008–1.162, p = 0.030). In the two-pollutant models, the increased risk of pediatric readmissions for asthma was significantly associated with both elevated ozone (OR = 1.023, 95% CI = 1.001–1.045, p = 0.042) and PM2.5 concentrations (OR = 1.080, 95% CI = 1.005–1.161, p = 0.036). The effects of ambient air pollutants on hospital readmissions varied by age and season. Our findings suggest that short-term (4 days) exposure to air pollutants might increase the risk of preventable hospital readmissions for pediatric asthma patients.


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