Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity.

ABSTRACT:

Background

The impact of weather on human health has been proven, but the impact of extreme weather events on cardiometabolic multimorbidity (CMM) needs to be urgently explored.

Objectives

Investigating the impact of extreme temperature, relative humidity (RH), and laboratory testing parameters at admission on adverse events in CMM hospitalizations.

Designs

Time-stratified case-crossover design.

Methods

A distributional lag nonlinear model with a time-stratified case-crossover design was used to explore the nonlinear lagged association between environmental factors and CMM. Subsequently, unbalanced data were processed by 1:2 propensity score matching (PSM) and conditional logistic regression was employed to analyze the association between laboratory indicators

SUBMITTER: Wu D 

PROVIDER: S-EPMC11331640 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature