生理热负荷评估指标 - 第 1 部分:系统回顾。

Q1 Biochemistry, Genetics and Molecular Biology
Temperature Pub Date : 2022-07-31 eCollection Date: 2022-01-01 DOI:10.1080/23328940.2022.2037376
Leonidas G Ioannou, Konstantinos Mantzios, Lydia Tsoutsoubi, Sean R Notley, Petros C Dinas, Matt Brearley, Yoram Epstein, George Havenith, Michael N Sawka, Peter Bröde, Igor B Mekjavic, Glen P Kenny, Thomas E Bernard, Lars Nybo, Andreas D Flouris
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引用次数: 0

摘要

在本期刊发表的三篇系列论文中,我们确定并验证了现有的热应力指标(TSIs)。在该系列的第一篇论文中,我们进行了一项系统性综述(注册号:INPLASY202090088),以确定所有 TSIs 并提供有关其使用的可靠信息(由欧盟地平线 2020;HEAT-SHIELD 资助)。从数据库建立到 2020 年 4 月 15 日,共检索了八个数据库(PubMed、农业与环境科学文库、科学网、Scopus、Embase、俄罗斯科学引文索引、MEDLINE 和谷歌学术)。对语言或研究设计没有任何限制。在确定的 879 篇出版物中,有 232 条记录被考虑用于进一步分析。此次检索发现了公元前 200 年至公元 2019 年期间开发的 340 种工具和指标。其中,153 种是名义图、工具和/或需要详细的非气象信息,而 187 种则可以仅利用气象数据进行数学计算。在这些基于气象学的 TSI 中,有 127 种是为身体活跃的人群开发的,其中 61 种可用于职业环境。本文提供了有关方程、工作范围、解释类别、所需输入数据的信息,以及计算所有 187 个基于气象的 TSI 的免费软件。有兴趣为气候服务进行现场监测和/或大数据分析的人士应采纳本系统综述中提供的信息,以确保适当使用基于气象的 TSIs。本系列配套文件中的研究二和研究三介绍了这些TSI的应用和验证指南,以指导这些指标的最终用户更有效地使用这些指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Indicators to assess physiological heat strain - Part 1: Systematic review.

Indicators to assess physiological heat strain - Part 1: Systematic review.

Indicators to assess physiological heat strain - Part 1: Systematic review.

Indicators to assess physiological heat strain - Part 1: Systematic review.

In a series of three companion papers published in this Journal, we identify and validate the available thermal stress indicators (TSIs). In this first paper of the series, we conducted a systematic review (registration: INPLASY202090088) to identify all TSIs and provide reliable information regarding their use (funded by EU Horizon 2020; HEAT-SHIELD). Eight databases (PubMed, Agricultural and Environmental Science Collection, Web of Science, Scopus, Embase, Russian Science Citation Index, MEDLINE, and Google Scholar) were searched from database inception to 15 April 2020. No restrictions on language or study design were applied. Of the 879 publications identified, 232 records were considered for further analysis. This search identified 340 instruments and indicators developed between 200 BC and 2019 AD. Of these, 153 are nomograms, instruments, and/or require detailed non-meteorological information, while 187 can be mathematically calculated utilizing only meteorological data. Of these meteorology-based TSIs, 127 were developed for people who are physically active, and 61 of those are eligible for use in occupational settings. Information regarding the equation, operating range, interpretation categories, required input data, as well as a free software to calculate all 187 meteorology-based TSIs is provided. The information presented in this systematic review should be adopted by those interested in performing on-site monitoring and/or big data analytics for climate services to ensure appropriate use of the meteorology-based TSIs. Studies two and three in this series of companion papers present guidance on the application and validation of these TSIs, to guide end users of these indicators for more effective use.

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来源期刊
Temperature
Temperature Medicine-Physiology (medical)
CiteScore
10.40
自引率
0.00%
发文量
37
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