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一种新方法可分离日间和日内温度变化对死亡率的影响。

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

机构信息

Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.

出版信息

BMC Med Res Methodol. 2023 Apr 15;23(1):92. doi: 10.1186/s12874-023-01914-8.

DOI:10.1186/s12874-023-01914-8
PMID:37061686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10105159/
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.

摘要

背景

温度变异性(TV)与死亡率升高相关。然而,日间和日内 TV 的独立影响尚不清楚。

方法

我们通过代数推导提出了一种将 TV 分解为日间 TV 和日内 TV 的新方法。日内 TV 定义为每日最小温度和最大温度的加权平均标准差(SD)。日间 TV 定义为暴露期间每日平均温度的加权 SD。然后,我们使用 2019-2021 年法国每日死亡率和温度数据进行了说明性分析。

结果

新的日间和日内 TV 指数是现有指标(包括昼夜温差(DTR)和相邻日温度变化(TCN))的良好替代品。在说明性分析中,日间和日内 TV 显示出不同的死亡率风险。与 TV 相关的死亡率负担主要由日内成分解释,占总死亡率的归因分数(AF)为 1.81%(95%CI:0.64%,2.97%),是日间 TV 的 AF(0.86%,95%CI:0.47%,1.24%)的两倍多。

结论

本研究提出了一种识别和隔离温度变异性不同成分的新方法,并提供了一种综合方法来研究它们对健康的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/9627702a7d73/12874_2023_1914_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/95008418bb55/12874_2023_1914_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/5751c1cf6e72/12874_2023_1914_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/9627702a7d73/12874_2023_1914_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/95008418bb55/12874_2023_1914_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/5751c1cf6e72/12874_2023_1914_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e1/10105421/9627702a7d73/12874_2023_1914_Fig3_HTML.jpg

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全球、区域和国家与短期温度变化相关的死亡率负担:2000-19 年的三阶段建模研究。
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