{"id":11513,"date":"2025-03-14T13:35:37","date_gmt":"2025-03-14T12:35:37","guid":{"rendered":"https:\/\/blogs.bmj.com\/bjsm\/?p=11513"},"modified":"2025-03-14T13:35:37","modified_gmt":"2025-03-14T12:35:37","slug":"risk-for-heat-illness-person-factors-environment-and-their-combination","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/bjsm\/2025\/03\/14\/risk-for-heat-illness-person-factors-environment-and-their-combination\/","title":{"rendered":"Risk for heat illness &#8211; person-factors, environment, and their combination"},"content":{"rendered":"<h3><span style=\"font-weight: 400\">Why is this study important?<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Exertional heat illness (EHI) is a threat whenever people exercise for long periods of time in the heat. Risks for EHI include intrinsic factors, such as fitness, medical history, and demographics. Extrinsic factors include hot weather conditions.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This study leveraged a large standardized database from US defense administrative records. The study looked at first-year US Army enlistees \u2013 a healthy and relatively homogenous population, who are at elevated risk for EHI. By examining a large sample, the study was able to learn about different types of risks over a prolonged time-period.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">How did the study go about this?<\/span><\/h3>\n<p><span style=\"font-weight: 400\">The study used US defense administrative records from a variety of sources: personnel records, fitness\/body composition records, and electronic health records.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The authors also examined the impact of local weather trends, by using a gridded climate data source [<\/span><span style=\"font-weight: 400\">1,2].<\/span><span style=\"font-weight: 400\">\u00a0This provided daily estimates of heat stress, which were able to be triangulated with soldiers\u2019 geographical locations.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">What did the study find?<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Key findings highlighted the role of sex, obesity, respiratory tract infections, and climate index in developing EHI. Women and overweight\/obese soldiers tended to be at elevated risk. Surprisingly, respiratory tract infections increased risk of EHI by 2-3 fold as well.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Findings also highlighted the role of heat stress indexes in preventing EHI. Traditionally, the wet bulb globe temperature (WBGT) has been used to plan physical activity outdoors and to set activity restrictions when heat stress is too high.<\/span><span style=\"font-weight: 400\">3<\/span><span style=\"font-weight: 400\"> The findings highlighted the potential role for a new index, called the Universal Thermal Climate Index (UTCI) [4].<\/span><\/p>\n<h3><span style=\"font-weight: 400\">What are the key take-home points?<\/span><\/h3>\n<p><span style=\"font-weight: 400\">When planning physical activity in the heat, trainers and providers should keep in mind that women or overweight\/obese individuals may be at elevated risk for EHI. People who are recovering from respiratory tract infections may be at elevated risk too, and therefore should be afforded adequate time to recover.<\/span><\/p>\n<p><span style=\"font-weight: 400\">It is always important to monitor heat stress conditions, ideally using a weather index which accounts for more than just temperature and humidity. Traditionally, the WBGT has filled this role. More observational research into other indexes is warranted to potentially improve on the WBGT&#8217;s predictive accuracy and role in setting activity modifications [<\/span><span style=\"font-weight: 400\">5].<\/span><\/p>\n<p><span style=\"font-weight: 400\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-11514\" src=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-232x300.png\" alt=\"\" width=\"473\" height=\"612\" srcset=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-232x300.png 232w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-768x994.png 768w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-1187x1536.png 1187w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-1583x2048.png 1583w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025-640x828.png 640w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/03\/WHEC_Heat-Illness_Infographic_2025.png 1932w\" sizes=\"auto, (max-width: 473px) 100vw, 473px\" \/>\u00a0<\/span><\/p>\n<h5><span style=\"font-weight: 400\">Article authors and affiliations:<\/span><\/h5>\n<p><span style=\"font-weight: 400\">Josh B Kazman (<\/span><span style=\"font-weight: 400\">1,2,3,4)<\/span><span style=\"font-weight: 400\"> D Alan Nelson (<\/span><span style=\"font-weight: 400\">5),<\/span><span style=\"font-weight: 400\"> Anwar E Ahmed (<\/span><span style=\"font-weight: 400\">4),<\/span><span style=\"font-weight: 400\"> Patricia A Deuster (<\/span><span style=\"font-weight: 400\">1)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Francis G O\u2019Connor,<\/span><span style=\"font-weight: 400\">1<\/span><span style=\"font-weight: 400\"> James D Mancuso,<\/span><span style=\"font-weight: 400\">4<\/span><span style=\"font-weight: 400\"> Stephen A Lewandowski<\/span><span style=\"font-weight: 400\">4<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\">Consortium for Health and Military Performance, Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences F Edward Hebert School of Medicine, Bethesda, Maryland, USA <\/span><\/li>\n<li><span style=\"font-weight: 400\">2. <\/span><span style=\"font-weight: 400\">Henry M Jackson Foundation for the Advancement of Military Medicine Inc, Rockville, Maryland, USA<\/span><\/li>\n<li><span style=\"font-size: 1rem\">Department of Clinical Investigation, Womack Army Medical Center, Fort Liberty, NC, USA<\/span><\/li>\n<li><span style=\"font-size: 1rem\">Department of Preventive Medicine and Biostatistics, F. Edward H\u00e9bert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA<\/span><span style=\"font-size: 1rem\">School of Health Professions, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA<\/span><\/li>\n<\/ol>\n<h5><span style=\"font-weight: 400\">References<\/span><\/h5>\n<ol>\n<li><span style=\"font-weight: 400\">Di Napoli C, Barnard C, Prudhomme C, et al. ERA5\u2010HEAT: A global gridded historical <\/span><span style=\"font-size: 1rem\">dataset of human thermal comfort indices from climate reanalysis. Geosci Data <\/span><span style=\"font-size: 1rem\">2021;8:2\u201310.<\/span><\/li>\n<li><span style=\"font-size: 1rem\">Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Quart J Royal <\/span><span style=\"font-size: 1rem\">Meteoro Soc 2020;146:1999\u20132049.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Budd GM. Wet-bulb globe temperature (WBGT)&#8211;its history and its limitations. J Sci Med Sport 2008;11:20\u201332.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Jendritzky G, de Dear R, Havenith G. UTCI&#8211;why another thermal index? Int J <\/span><span style=\"font-size: 1rem\">Biometeorol 2012;56:421\u20138.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Grundstein A, Vanos J. There is no \u201cSwiss Army Knife\u201d of thermal indices: the <\/span><span style=\"font-size: 1rem\">importance of considering \u201cwhy?\u201d and \u201cfor whom?\u201d when modelling heat stress in <\/span><span style=\"font-size: 1rem\">sport. Br J Sports Med 2021;55:822\u20134.<\/span><\/li>\n<\/ol>\n<p><!--TrendMD v2.4.8--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Why is this study important? Exertional heat illness (EHI) is a threat whenever people exercise for long periods of time in the heat. Risks for EHI include intrinsic factors, such as fitness, medical history, and demographics. Extrinsic factors include hot weather conditions. This study leveraged a large standardized database from US defense administrative records. The [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/blogs.bmj.com\/bjsm\/2025\/03\/14\/risk-for-heat-illness-person-factors-environment-and-their-combination\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":464,"featured_media":11514,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[16379,16068,16380,217],"class_list":["post-11513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-epidemiology","tag-featured","tag-hot-temperature","tag-sports-medicine"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Risk for heat illness - person-factors, environment, and their combination - BJSM blog - social media&#039;s leading SEM voice<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.bmj.com\/bjsm\/2025\/03\/14\/risk-for-heat-illness-person-factors-environment-and-their-combination\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Risk for heat illness - person-factors, environment, and their combination - BJSM blog - social media&#039;s leading SEM voice\" \/>\n<meta property=\"og:description\" content=\"Why is this study important? 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