A new method to separate the impacts of interday and intraday temperature variability on mortality

Bo Wen, Yao Wu, Yuming Guo, Shanshan Li

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

BACKGROUND: Temperature variability (TV) is associated with increased mortality risks. However, the independent impacts of interday and intraday are still unknown. METHODS: We proposed a new method to decompose TV into interday TV and intraday TV through algebra derivation. Intraday TV was defined as the weighted average standard deviation (SD) of minimum temperature and maximum temperature on each day. Interday TV was defined as the weighted SD of daily mean temperatures during the exposure period. We then performed an illustrative analysis using data on daily mortality and temperature in France in 2019-2021. RESULTS: The novel interday and intraday TV indices were good proxies for existing indicators, inlcluding diurnal temperature range (DTR) and temperature change between neighbouring days (TCN). In the illustrative analyses, interday and intraday TVs showed differentiated mortality risks. Mortality burden related to TV was mainly explained by the intraday component, accounting for an attributable fraction (AF) of 1.81% (95% CI: 0.64%, 2.97%) of total mortality, more than twice the AF of interday TV (0.86%, 95% CI: 0.47%, 1.24%). CONCLUSIONS: This study proposed a novel method for identifying and isolating the different components of temperature variability and offered a comprehensive way to investigate their health impacts.

Original languageEnglish
Article number92
Number of pages10
JournalBMC Medical Research Methodology
Volume23
Issue number1
DOIs
Publication statusPublished - 15 Apr 2023

Keywords

  • Interday
  • Intraday
  • Mortality
  • Temperature variability

Cite this