Q Guo1,2, X Xiong1, F Liang3, L Tian1, W Liu4, Z Wang1, X Pan1. 1. Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China. 2. Chinese Research Academy of Environmental Sciences, Beijing, China. 3. Department of Epidemiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 4. Department of Dermatology, The General Hospital of Air Force of People's Liberation Army, Beijing, China.
Abstract
BACKGROUND: The prevalence of atopic dermatitis (AD) dramatically increased over these years and environmental factors were considered as potential contributors towards these trends. OBJECTIVE: This study aimed to explore several major environmental exposures, including air pollution, temperature and relative humidity, in order to identify potential modifiable risk factors and their interactive effects on AD. METHODS: We applied a bivariate response surface model and stratification model based on time-series Poisson generalized additive models to examine the interactive effects of air pollution and meteorological factors on AD. RESULTS: A total of 64 987 outpatient visits for AD were recorded from 1 January 2013 to 31 December 2017. Interactive effects were found between air pollutants and meteorological factors. Enhanced positive associations between pollutants and outpatient visits for AD were found at the highest quartile temperature level. A 10 μg/m3 increase in PM2.5 , PM10 , NO2 and SO2 were associated with 0.42% (95% CI: 0.16-0.67%), 0.34% (95% CI: 0.15-0.54%), 1.11% (95% CI: 0.38-1.84%) and 1.06% (0.21-1.93%) increase in outpatient visits for AD at the highest quartile temperature level. CONCLUSION: That effects of air pollutants on AD can be modified by meteorological factors, with enhanced effects on hot days.
BACKGROUND: The prevalence of atopic dermatitis (AD) dramatically increased over these years and environmental factors were considered as potential contributors towards these trends. OBJECTIVE: This study aimed to explore several major environmental exposures, including air pollution, temperature and relative humidity, in order to identify potential modifiable risk factors and their interactive effects on AD. METHODS: We applied a bivariate response surface model and stratification model based on time-series Poisson generalized additive models to examine the interactive effects of air pollution and meteorological factors on AD. RESULTS: A total of 64 987 outpatient visits for AD were recorded from 1 January 2013 to 31 December 2017. Interactive effects were found between air pollutants and meteorological factors. Enhanced positive associations between pollutants and outpatient visits for AD were found at the highest quartile temperature level. A 10 μg/m3 increase in PM2.5 , PM10 , NO2 and SO2 were associated with 0.42% (95% CI: 0.16-0.67%), 0.34% (95% CI: 0.15-0.54%), 1.11% (95% CI: 0.38-1.84%) and 1.06% (0.21-1.93%) increase in outpatient visits for AD at the highest quartile temperature level. CONCLUSION: That effects of air pollutants on AD can be modified by meteorological factors, with enhanced effects on hot days.
Authors: Irini M Dijkhoff; Barbara Drasler; Bedia Begum Karakocak; Alke Petri-Fink; Giuseppe Valacchi; Marc Eeman; Barbara Rothen-Rutishauser Journal: Part Fibre Toxicol Date: 2020-07-25 Impact factor: 9.400