County-level modeled extreme heat risk and premature all-cause mortality related to cardio-kidney-metabolic syndrome in the United States: A cross-sectional analysis.

ABSTRACT:

Background

The aim of this study was to evaluate the association between extreme heat waves and age adjusted cardio-kidney-metabolic (CKM) all-cause mortality rate in the US.

Methods

In this cross-sectional study, the county level age adjusted CKM premature (age < 65 years) all-cause mortality rate (CKM aaMR) was collected from the Center for Diseases Control (CDC) WONDER (Wide-ranging Online Data for Epidemiologic Research) (2010-2019). The primary exposure was the 2023 US Federal Emergency Management Agency heat wave risk index (HWRI), a marker of extreme heat event frequency. Counties were grouped by the quartile (Q) of their HWRI. Generalized linear models with a Poisson rate regression were fitted to evaluate the association between CKM aaMR and HWRI quartiles adjusting

SUBMITTER: Cayton K 

PROVIDER: S-EPMC12391823 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature