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评估热风险:比较现场湿球黑球温度(WBGT)测量值与智能手机应用程序估算值

Evaluating Heat Risk: Comparing On-Site WBGT Measurements Versus Smartphone Application Estimates.

作者信息

Grundstein A J, Yeargin S W, Cooper E R, Cargile L, Clark J, Lopez R M, Miller K C, Montalvo A M, Scarneo-Miller S, Stearns R L

机构信息

University of Georgia Athens GA USA.

University of South Carolina Columbia SC USA.

出版信息

Geohealth. 2025 Mar 25;9(3):e2025GH001347. doi: 10.1029/2025GH001347. eCollection 2025 Mar.

Abstract

Exertional heat illness poses a significant risk for workers, athletes, and military personnel participating in outdoor activities during hot weather. An important component of heat safety is to monitor environmental conditions through heat stress indices like the wet bulb globe temperature (WBGT) and adjust activity as conditions get progressively hotter. Traditionally, on-site (OS) WBGT measurement devices are used, but phone applications (PAs) offering WBGT estimates have emerged as a potential alternative. However, there is little information on how closely PA-derived WBGTs match OS measurements to guide decision-making. This study compared the PA-derived Zelus WBGT estimates with OS measurements from Kestrel 5400 devices and their impact on activity modification categorization. A 2-month observational study collected 1,056 paired (OS and PA) WBGT measurements from 26 high schools across 11 states in the United States and over diverse surfaces (artificial turf 53%, natural grass 44%, others 3%). WBGT values were categorized using regional activity modification thresholds to account for local acclimatization. Our findings indicated that while exhibiting high correlation ( = 0.89), PA WBGTs were on average about 1°C cooler, with differences of 2-3°C at higher WBGTs. Findings were similar for both grass and artificial turf surfaces. Further, significant discrepancies were observed in WBGT-based activity modification categories, with the PA more frequently indicating lower modification categories compared to OS devices, especially in hotter conditions. In light of these findings, the PA requires further validation prior to its adoption as a replacement for OS measurements.

摘要

在炎热天气下,运动性热疾病对参与户外活动的工人、运动员和军事人员构成重大风险。热安全的一个重要组成部分是通过诸如湿球黑球温度(WBGT)等热应激指数来监测环境状况,并随着天气逐渐变热调整活动。传统上,使用现场(OS)WBGT测量设备,但提供WBGT估计值的手机应用程序(PAs)已成为一种潜在的替代方案。然而,关于基于手机应用程序得出的WBGT与现场测量值的匹配程度以指导决策的信息却很少。本研究比较了基于手机应用程序得出的Zelus WBGT估计值与Kestrel 5400设备的现场测量值及其对活动调整分类的影响。一项为期2个月的观察性研究收集了来自美国11个州26所高中的1056对(现场和手机应用程序)WBGT测量值,测量地点包括多种地面(人造草皮53%、天然草坪44%、其他3%)。使用区域活动调整阈值对WBGT值进行分类,以考虑当地的适应性。我们的研究结果表明,虽然手机应用程序得出的WBGT与现场测量值具有高度相关性(r = 0.89),但前者平均温度约低1°C,在较高WBGT值时差异为2 - 3°C。在天然草坪和人造草皮表面的研究结果相似。此外,在基于WBGT的活动调整分类中观察到显著差异,与现场测量设备相比,手机应用程序更频繁地显示较低的调整分类,尤其是在较热的条件下。鉴于这些发现,在将手机应用程序用作现场测量的替代品之前,需要进一步验证。

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