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Dataset Information

Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study.


ABSTRACT:

Background

Temperature variability (TV) is associated with increased mortality risk. However, it is still unknown whether intra-day or inter-day TV has different effects.

Objectives

We aimed to assess the association of intra-day TV and inter-day TV with all-cause, cardiovascular, and respiratory mortality.

Methods

We collected data on total, cardiovascular, and respiratory mortality and meteorology from 758 locations in 47 countries or regions from 1972 to 2020. We defined inter-day TV as the standard deviation (SD) of daily mean temperatures across the lag interval, and intra-day TV as the average SD of minimum and maximum temperatures on each day. In the first stage, inter-day and intra-day TVs were modelled simultaneously in the quasi-Poisson time-series model for

SUBMITTER: Wen B 

PROVIDER: S-EPMC12317778 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature