Construction and validation of a risk prediction model for soldiers with frostbite in northeast China: a cross-sectional study

作者：Sitong Wang, Xueyu Li, Yuli Fang, Qin Shu, Ruihang Ma, Di Wu · 发表于：BMC Public Health · 年份：2024 · DOI：10.1186/s12889-024-19959-9 · 被引用次数：1 · 研究领域：Burn Injury Management and Outcomes、Vitamin C and Antioxidants Research、Exercise and Physiological Responses

One of the challenges of physical training in extreme condition is frostbite, especially in Northeast China. In this study, we aimed to construct a risk prediction model for frostbite among soldiers in Northeast China, and verify its effect. 698 participants were selected via convenience sampling from Northeast China from December 2021 to January 2022 (winter). They were randomly divided into a training set ( N = 479) and a testing set ( N = 202) in a ratio of 7:3. All participants completed a researcher-made questionnaire on frostbite. The prediction model was constructed through the use of Logistic regression analysis, which was used to predict the independent risk factors for frostbite formation and screen significant indicators. The model’s performance was assessed using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA) to evaluate the prediction efficiency and goodness of fit. The incidence of frostbite in the training set was 19.83% (95 people), all of which were first-degree frostbite. Among them, frostbite in multiple parts was the most common (58.95%), followed by singular body parts like hands (24.21%), ears (11.58%) and feet (5.26%). Single factor logistic regression analyses showed that ambient temperature, ambient wind speed, outdoor stationary time, stationary status, and history of frostbite are independent risk factors that affect the occurrence of frostbite. Furthermore, we constructed the frostbite risk prediction model for ...