To investigate the association between temperature and daily mortality in Shanghai from June 1, 2000 to December 31, 2001. Methods Time-series approach was used to estimate the effect of temperature on daily tota...To investigate the association between temperature and daily mortality in Shanghai from June 1, 2000 to December 31, 2001. Methods Time-series approach was used to estimate the effect of temperature on daily total and cause-specific mortality. We fitted generalized additive Poisson regression using non-parametric smooth functions to control for long-term time trend, season and other variables. We also controlled for day of the week. Results A gently sloping V-like relationship between total mortality and temperature was found, with an optimum temperature (e.g. temperature with lowest mortality risk) value of 26.7癈 in Shanghai. For temperatures above the optimum value, total mortality increased by 0.73% for each degree Celsius increase; while for temperature below the optimum value, total mortality decreased by 1.21% for each degree Celsius increase. Conclusions Our findings indicate that temperature has an effect on daily mortality in Shanghai, and the time-series approach is a useful tool for studying the temperature-mortality association.展开更多
Objective To obtain the exposure-response functions that could be used in health-based risk assessment of particulate air pollution in China. Methods Meta analysis was conducted on the literatures on air particulate m...Objective To obtain the exposure-response functions that could be used in health-based risk assessment of particulate air pollution in China. Methods Meta analysis was conducted on the literatures on air particulate matter and its adverse health outcomes in China and worldwide. Results For each health outcome from morbidity to mortality changes, the relative risks were estimated when the concentration of air particulate matter increased to some certain units. Conclusion The exposure-response functions recommended here can be further applied to health risk assessment of air particulate matter in China.展开更多
To study the relationship between ambient air pollution and daily mortality of SARS in Beijing. Methods The approach of time-series Poisson regression was used to assess the relationship between daily SARS mort...To study the relationship between ambient air pollution and daily mortality of SARS in Beijing. Methods The approach of time-series Poisson regression was used to assess the relationship between daily SARS mortality, ambient air pollution, and other factors from April 25 to May 31, 2003 in Beijing. Results An increase of each 10 μg/m3 over a 5-day moving average of PM10, SO2 and NO2 corresponded to 1.06 (1.00-1.12), 0.74 (0.48-1.13) and 1.22 (1.01-1.48) relative risks (RRs) of daily SARS mortality, respectively. The relative risks (RRs) values depended largely on the selection of lag days. Conclusion The daily mortality of SARS might be associated with certain air pollutants in Beijing.展开更多
文摘To investigate the association between temperature and daily mortality in Shanghai from June 1, 2000 to December 31, 2001. Methods Time-series approach was used to estimate the effect of temperature on daily total and cause-specific mortality. We fitted generalized additive Poisson regression using non-parametric smooth functions to control for long-term time trend, season and other variables. We also controlled for day of the week. Results A gently sloping V-like relationship between total mortality and temperature was found, with an optimum temperature (e.g. temperature with lowest mortality risk) value of 26.7癈 in Shanghai. For temperatures above the optimum value, total mortality increased by 0.73% for each degree Celsius increase; while for temperature below the optimum value, total mortality decreased by 1.21% for each degree Celsius increase. Conclusions Our findings indicate that temperature has an effect on daily mortality in Shanghai, and the time-series approach is a useful tool for studying the temperature-mortality association.
基金The current work was co-funded by Energy Foundation through grant G-0212-06632 and Shanghai Municipal Committee of Science and Technology through grants 03DZ05052 and 03ZR14009.
文摘Objective To obtain the exposure-response functions that could be used in health-based risk assessment of particulate air pollution in China. Methods Meta analysis was conducted on the literatures on air particulate matter and its adverse health outcomes in China and worldwide. Results For each health outcome from morbidity to mortality changes, the relative risks were estimated when the concentration of air particulate matter increased to some certain units. Conclusion The exposure-response functions recommended here can be further applied to health risk assessment of air particulate matter in China.
基金The current work was funded by Shanghai Municipal Committee of Science and Technology through grants 03DZ19612 and03DZ05052.
文摘To study the relationship between ambient air pollution and daily mortality of SARS in Beijing. Methods The approach of time-series Poisson regression was used to assess the relationship between daily SARS mortality, ambient air pollution, and other factors from April 25 to May 31, 2003 in Beijing. Results An increase of each 10 μg/m3 over a 5-day moving average of PM10, SO2 and NO2 corresponded to 1.06 (1.00-1.12), 0.74 (0.48-1.13) and 1.22 (1.01-1.48) relative risks (RRs) of daily SARS mortality, respectively. The relative risks (RRs) values depended largely on the selection of lag days. Conclusion The daily mortality of SARS might be associated with certain air pollutants in Beijing.
