Back to Search Start Over

Impact of haze and air pollution-related hazards on hospital admissions in Guangzhou, China.

Authors :
Zhang, Zili
Wang, Jian
Chen, Lianghua
Chen, Xinyu
Sun, Guiyuan
Zhong, Nanshan
Kan, Haidong
Lu, Wenju
Source :
Environmental Science & Pollution Research; Mar2014, Vol. 21 Issue 6, p4236-4244, 9p
Publication Year :
2014

Abstract

Guangzhou is a metropolitan in south China with unique pollutants and geographic location. Unlike those in western countries and the rest of China, the appearance of haze in Guangzhou is often (about 278 days per year on average of 4 years). Little is known about the influence of these hazes on health. In this study, we investigated whether short-term exposures to haze and air pollution are associated with hospital admissions in Guangzhou. The relationships between haze, air pollution, and daily hospital admissions during 2008-2011 were assessed using generalized additive model. Studies were categorized by gender, age, season, lag, and disease category. In haze episodes, an increase in air pollutant emissions corresponded to 3.46 (95 % CI, 1.67, 5.27) increase in excessive risk (ER) of total hospital admissions at lag 1, 11.42 (95 % CI, 4.32, 18.99) and 11.57 (95 % CI, 4.38, 19.26) increases in ERs of cardiovascular illnesses at lags 2 and 4 days, respectively. As to total hospital admissions, an increase in NO was associated with a 0.73 (95 % CI, 0.11, 1.35) and a 0.28 (95 % CI, 0.11, 0.46) increases in ERs at lag 5 and lag 05, respectively. For respiratory illnesses, increases in NO was associated with a 1.94 (95 % CI, 0.50, 3.40) increase in ER at lag 0, especially among chronic obstructive pulmonary disease. Haze (at lag1) and air pollution (for NO at lag 5 and for SO at lag3) both presented more drastic effects on the 19 to 64 years old and in the females. Together, we demonstrated that haze pollution was associated with total and cardiovascular illnesses. NO was the sole pollutant with the largest risk of hospital admissions for total and respiratory diseases in both single- and multi-pollutant models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09441344
Volume :
21
Issue :
6
Database :
Complementary Index
Journal :
Environmental Science & Pollution Research
Publication Type :
Academic Journal
Accession number :
94799608
Full Text :
https://doi.org/10.1007/s11356-013-2374-6