Impacts of meteorological factors and environmental pollutants on digestive diseases in Beijing
MA Pan1, LI Ruo-lin1, YUE Man1, WANG Shi-gong1,2, SHANG Ke-zheng1, YIN Ling3
1. Center for Meteorological Environment and Human Health, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;
2. College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China;
3. Chinese PLA General Hospital , Beijing 100853, China
To explore meteorological and environmental impacts on human health, distributed lag non-linear model together with generalized additive model are applied to study exposure-response relationship between ambient air factors and digestive system diseases from 2009 to 2011 in Beijing. Results show that obvious influence of high temperature on digestive system diseases is revealed. Relative risk (RR) significantly increases with Ta raise when Ta>25 ℃. The lag effects can reach more than 10 days. Condition of extremely high or low humidity (RH<10% or RH>90%) can also lead to digestive diseases increase. The effect could last a long time. High temperature combined with extremely high or low humidity forms two uncomfortable circumstance, respectively ‘hot and dry’ and ‘hot and humidity’. Wind speed 0~2m/s can increase the risk of digestive diseases in a short period (5days). The risk of wind speed between 3~4m/s is small. It indicates moderate wind has weak effect on health. High PM10 and NO2 concentrations immediately play a significant role on digestive system diseases (less in 5days). But high SO2 concentrations act significantly in a longer lag period.
Field C B, Barros V R, Mastrandrea M D, et al. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [J]. 2014.
[2]
Huang Cunrui, Barnett Adrian G, Wang Xiaoming, et al. The impact of temperature on years of life lost in Brisbane, Australia [J]. Nature Climate Change, 2012,2(4):265-270.
[3]
Li T, Horton R M, Kinney P L. Projections of seasonal patterns in temperature-related deaths for Manhattan, New York [J]. Nature Climate Change, 2013,3(8):717-721.
Parsons, K.C. Human thermal environments: the effect of hot, moderate and cold environments on human health, comfort and performance [M]. London: Taylor & Francis, 2003.