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Dataset Information

The correlation between daily temperature, diurnal temperature range, and asthma hospital admissions in Lanzhou city, 2013-2020.


ABSTRACT:

Background

With the backdrop of global climate change, the impact of climate change on respiratory diseases like asthma is receiving increasing attention. However, the effects of temperature and diurnal temperature range (DTR) on asthma are complex, and understanding these effects across different seasons, age groups, and sex is of utmost importance.

Methods

This study utilized asthma hospitalization data from Lanzhou, China, and implemented a distributed lag nonlinear model (DLNM) to investigate the relationship between temperature and DTR and asthma hospitalizations. It considered differences in the effects across various seasons and population subgroups.

Results

The study revealed that low temperatures immediately increase the risk of asthma hospitalization (RR = 1

SUBMITTER: Yu J 

PROVIDER: S-EPMC11386359 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature