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Dataset Information

Effects of diurnal temperature range on first-ever strokes in different seasons: a time-series study in Shenzhen, China.


ABSTRACT:

Objective

Diurnal temperature range (DTR) is an important meteorological indicator of global climate change; high values of DTR may induce stroke morbidity, while the related high-risk periods and sensitive populations are not clear. This study aims to evaluate the effects of DTR on first-ever strokes in different seasons and in relation to sensitive populations.

Methods

We collected data on 142 569 first-ever strokes during 2005-2016 in Shenzhen. We fitted a time-series Poisson model in our study, estimating the associations between DTR and first-ever strokes, with a distributed lag non-linear model. Then, we calculated strokes attributable to high DTR in different genders, age groups, education levels and stroke subtypes.

Results

High DTR had a significant associati

SUBMITTER: Lei L 

PROVIDER: S-EPMC7682471 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature