scholarly journals Associations between ambient air pollution and daily mortality in a cohort of congestive heart failure: Case-crossover and nested case-control analyses using a distributed lag nonlinear model

2018 ◽  
Vol 113 ◽  
pp. 313-324 ◽  
Author(s):  
Stephane Buteau ◽  
Mark S. Goldberg ◽  
Richard T. Burnett ◽  
Antonio Gasparrini ◽  
Marie-France Valois ◽  
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Epidemiology ◽  
2001 ◽  
Vol 12 (4) ◽  
pp. 413-419 ◽  
Author(s):  
Ho-Jang Kwon ◽  
Soo-Hun Cho ◽  
Fredrik Nyberg ◽  
Göran Pershagen

2016 ◽  
Vol 61 (10) ◽  
pp. 2963-2971 ◽  
Author(s):  
Jorrit L. Opstelten ◽  
Rob M. J. Beelen ◽  
Max Leenders ◽  
Gerard Hoek ◽  
Bert Brunekreef ◽  
...  

2003 ◽  
Vol 91 (1) ◽  
pp. 8-20 ◽  
Author(s):  
Mark S. Goldberg ◽  
Richard T. Burnett ◽  
Marie-France Valois ◽  
Kenneth Flegel ◽  
John C. Bailar III ◽  
...  

2010 ◽  
Vol 408 (24) ◽  
pp. 6086-6091 ◽  
Author(s):  
Renjie Chen ◽  
Guowei Pan ◽  
Haidong Kan ◽  
Jianguo Tan ◽  
Weimin Song ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianhui Gao ◽  
Mengxue Lu ◽  
Yinzhen Sun ◽  
Jingyao Wang ◽  
Zhen An ◽  
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Abstract Background The effect of ambient temperature on allergic rhinitis (AR) remains unclear. Accordingly, this study aimed to explore the relationship between ambient temperature and the risk of AR outpatients in Xinxiang, China. Method Daily data of outpatients for AR, meteorological conditions, and ambient air pollution in Xinxiang, China were collected from 2015 to 2018. The lag-exposure-response relationship between daily mean temperature and the number of hospital outpatient visits for AR was analyzed by distributed lag non-linear model (DLNM). Humidity, long-time trends, day of the week, public holidays, and air pollutants including sulfur dioxide (SO2), and nitrogen dioxide (NO2) were controlled as covariates simultaneously. Results A total of 14,965 AR outpatient records were collected. The relationship between ambient temperature and AR outpatients was generally M-shaped. There was a higher risk of AR outpatient when the temperature was 1.6–9.3 °C, at a lag of 0–7 days. Additionally, the positive association became significant when the temperature rose to 23.5–28.5 °C, at lag 0–3 days. The effects were strongest at the 25th (7 °C) percentile, at lag of 0–7 days (RR: 1.32, 95% confidence intervals (CI): 1.05–1.67), and at the 75th (25 °C) percentile at a lag of 0–3 days (RR: 1.15, 95% CI: 1.02–1.29), respectively. Furthermore, men were more sensitive to temperature changes than women, and the younger groups appeared to be more influenced. Conclusions Both mild cold and mild hot temperatures may significantly increase the risk of AR outpatients in Xinxiang, China. These findings could have important public health implications for the occurrence and prevention of AR.


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