The short-term association between environmental variables and daily pediatric asthma patient visits in Hangzhou, China: A time-series study.

ABSTRACT:

Background

To date, a large number of studies have shown correlations between environmental variables and pediatric asthma in short-term lag time. However, their results are inconsistent. Therefore, we aimed to evaluate the short-term impact of environmental variables on daily pediatric asthma patients' visits (DPAPV) in Hangzhou, China, and find the most important risk factor.

Methods

Generalized additive distribution lag non-linear model (GAM-DLNM) was applied to explore the effect of environmental variables on DPAPV in single- and multi-variable models in Hangzhou, China from 2014 to 2021. Then, risk factors of pediatric asthma were selected (p < 0.05 both in single- and multi-variable models) and used weighted quantile sum (WQS) regression model to evaluate their relativ

SUBMITTER: Feng Y 

PROVIDER: S-EPMC11425122 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature