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[Distributed lag effects in the relationship between daily mean temperature and mortality in Shanghai]. | LitMetric
Objective : To study the impact of daily mean temperature on mortality in Shanghai.Methods : With data on daily mortality, meteorological and air pollution, we used a distributed lag nonlinear model (DLNM) to assess the effects of daily mean temperature on deaths (caused by non-accidental, cardiovascular and respiratory) adjusted for both secular, seasonal trends and other confounders.Results : A J-shaped relationship was found consistently between daily mean temperature and non-accidental, cardiovascular and respiratory deaths in Shanghai. Cold effects were delayed by 1 day to 4 days and persisted for 14 - 30 days. Hot effects appeared acute and the highest at the first day, but lasted for 2 days and followed by mortality displacement.Conclusion : In Shanghai, both cold and hot temperatures increased the risk of mortality with delayed effects. Cold effects seemed last longer than heat did.
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