Department of Automatics, Biocybernetics and Robotics, Jozef Stefan Institute, Ljubljana, SLOVENIA.
National Research Center in Complementary and Alternative Medicine, Institute of Community Medicine, UiT- The Arctic University of Norway, Tromsø, Norway.
Int J Circumpolar Health. 2023 Dec;82(1):2246666. doi: 10.1080/22423982.2023.2246666.
In October 2022, the Human Factors and Medicine (HFM) panel of the NATO Science and Technology Organization convened a review of progress in military biomedical research for cold weather operations. This paper represents a summary of the research presentations and future directions. The importance of realistic training was an overarching theme. Many reported studies took advantage of cold weather training exercises to monitor soldiers' health and performance; these are valuable data, using winter exercises as a platform to gain further knowledge regarding human performance in the cold and represent an excellent extension of controlled laboratory studies. Topics also included prevention of Cold Weather Injuries (CWI); effects of cold weather stressors on cognitive function; field treatment of freezing cold injuries (FCI); and new consideration to injury and trauma care in the cold. Future work programmes re-emphasise development of cold weather training and establishment of consensus diagnostic criteria and treatments for FCI and non-FCI. CWI prevention should take advantage of biomathematical models that predict risk of CWI and provide guidance regarding optimal clothing and equipment and move from group averages to personalised predictions. The publication of selected presentations from the symposium in this special issue increases attention to military cold weather research.
2022 年 10 月,北约科学与技术组织的人为因素和医学(HFM)小组召开了一次会议,审查了寒冷天气作业中军事生物医学研究的进展。本文代表了研究报告和未来方向的总结。现实训练的重要性是一个贯穿全文的主题。许多报告的研究利用寒冷天气训练来监测士兵的健康和表现;这些都是有价值的数据,利用冬季训练作为平台,进一步了解人类在寒冷环境中的表现,并极好地扩展了实验室的控制研究。议题还包括预防冷天气损伤(CWI);寒冷天气应激源对认知功能的影响;野外治疗冻伤(FCI);以及在寒冷环境中对创伤和外伤护理的新考虑。未来的工作计划再次强调开发寒冷天气训练以及建立 FCI 和非 FCI 的共识诊断标准和治疗方法。CWI 预防应利用预测 CWI 风险的生物数学模型,提供关于最佳服装和设备的指导,并从群体平均值转向个性化预测。本特刊中发表了研讨会的精选报告,提高了对军事寒冷天气研究的关注。