Temperature and daily mortality in Shanghai: a time-series study / 生物医学与环境科学(英文)
Biomedical and Environmental Sciences
;
(12): 133-139, 2003.
Article
in English
| WPRIM
| ID: wpr-264284
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the association between temperature and daily mortality in Shanghai from June 1, 2000 to December 31, 2001.</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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 degrees C 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.</p><p><b>CONCLUSIONS</b>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.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Temperature
/
Urban Population
/
China
/
Environmental Monitoring
/
Regression Analysis
/
Mortality
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Biomedical and Environmental Sciences
Year:
2003
Type:
Article
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