Cross sectional analysis of the association between extreme climate events and stroke incidence in middle aged and older Chinese adults.

ABSTRACT: Extreme climate events are increasingly recognized as important environmental determinants of health. However, their associations with stroke incidence remain unclear, particularly among aging populations in developing countries. We conducted a cross-sectional study to examine the associations between four types of extreme climate events-extreme low temperature (LTD), extreme high temperature (HTD), extreme rainfall (ERD), and extreme drought (EDD)-and stroke among Chinese adults aged over 45 years. Climate data were obtained from the Climate Physical Risk Index (CPRI), developed using NOAA meteorological records, while health and demographic data were drawn from the 2015 wave of the China Health and Retirement Longitudinal Study (CHARLS). Multivariable logistic regression models were appl

SUBMITTER: Jiang X 

PROVIDER: S-EPMC12783812 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature