
A Case‐crossover Analysis of Air Pollution and Daily Mortality in Shanghai
Author(s) -
Kan Haidong,
Chen Bingheng
Publication year - 2003
Publication title -
journal of occupational health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 59
ISSN - 1348-9585
DOI - 10.1539/joh.45.119
Subject(s) - air pollution , environmental health , logistic regression , medicine , china , pollution , crossover study , conditional logistic regression , environmental science , geography , population , ecology , placebo , alternative medicine , organic chemistry , archaeology , pathology , biology , chemistry
A Case‐crossover Analysis of Air Pollution and Daily Mortality in Shanghai: Haidong Kan, et al. Department of Environmental Health, School of Public Health, Fudan University, P. R. China —We used a case‐crossover approach to assess the association between air pollution and daily mortality in Shanghai from June 2000 to December 2001. By design, this method can avoid some common concerns about the time‐series approach, which was most frequently used to assess the short‐term effects of air pollution. Different control periods (unidirectional and bi‐directional control samplings) were used for the analysis. With a bi‐directional six control sampling approach, the results from a conditional logistic regression model controlling for weather conditions showed that each 10 µg/m 3 increase over a 48‐h moving average of PM 10 , SO 2 and NO 2 corresponds to 1.003 (95%CI 1.001–1.005), 1.016 (95%CI 1.011– 1.021), and 1.020 (95%CI 1.012–1.027) relative risk of non‐accident mortality, respectively. The association between air pollution and mortality for chronic obstructive pulmonary diseases (COPD) and cardiovascular causes was found to be closer than that for all causes. The results confirmed the deleterious role of the current air pollution level on human health in Shanghai, and provided information on the applicability of case‐crossover design in studying the acute health effects of air pollution.