Ontology highlight
ABSTRACT: Objective
To examine temperature in relation to stroke mortality in a multicity time series study in China.Methods
We obtained data on daily temperature and mortality from 8 large cities in China. We used quasi-Poisson generalized additive models and distributed lag nonlinear models to estimate the accumulative effects of temperature on stroke mortality across multiple days, adjusting for long-term and seasonal trends, day of the week, air pollution, and relative humidity. We applied the Bayesian hierarchical model to pool city-specific effect estimates.Results
Both cold and hot temperatures were associated with increased risk of stroke mortality. The potential effect of cold temperature might last more than 2 weeks. The pooled relative risks of extreme cold (first
SUBMITTER: Chen R
PROVIDER: S-EPMC3795588 | biostudies-literature | 2013 Sep
REPOSITORIES: biostudies-literature