| 摘要: |
| 目的 确定湿热环境下不同作业强度时的平均体温上限,用以保证作业安全。方法 从576名受试者中筛选30名男性志愿者为受试者,年龄18~23岁,经体检和体能测试合格。每次训练前后测量体温度相关指标(包括皮肤5点温度、肛温以及由此计算出的平均体温)。与文献报道对比,确定其符合度。通过多元回归方程分析建立相关模型,并对模型进行点估计。结果 (1)受试者平均体温超过文献报道的例数占受试者的35.83%,符合度较低。(2)平均体温 ＾y与环境的温度X1、湿度X2,以及劳动作业强度X3有关。其回归方程为 ＾y=14.247 68+0.604 67X1-0.018 29X2+0.343 53X3，按照相关点估计的计算后形成查表。(3)使用动态耐热上限指标后,在441例次的温度指标中,平均体温超过动态上限的例数在11例次,占全部的2.49%。结论 湿热环境下人体的平均体温和环境温度、湿度、作业强度均有关,在这一基础上按照点估计计算得到的动态上限值表,具有保证作业安全的意义。 |
| 关键词: 湿热环境 体温 回归方程 点估计 |
| DOI：10.3724/SP.J.1008.2012.00286 |
| 投稿时间：2011-09-18修订日期：2012-02-28 |
| 基金项目:国家新药创新重大专项(2008ZXJ09009-002). |
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| Upper limit of dynamic mean body temperature of young men trained in heat-humid environment |
| ZHANG Lei,ZHANG Fan,BAO Ying-chun* |
(Department of Military Sports,College of Basic Medical Sciences, Second Military Medical University, Shanghai 200433, China
*Corresponding author.) |
| Abstract: |
| Objective To determine the definitive upper limit for training with different intensities in heat-humid environment, so as to provide evidence for safe working in heat-humid environment. Methods Thirty male volunteers aged 18-23 years old who passed both health examination and physical agility test were selected from a total of 576 trainees.The body temperature, including 5-point temperatures on the skin, rectal temperature and mean body temperature calculated, were obtained before and after each training episode; the results were compared with previously reported.Then a regression equation on the mean body temperature was developed and point estimation was done subsequently. Results (1) We found that 35.83% of the subjects had a mean body temperature higher than the upper limit previously reported.(2) If ＾y was the mean body temperature, X1 was the temperature in environment, X2 was the humidity in environment, and X3 was the intensity of work, the regression equations was ＾y=14.247 68+0.604 67X1-0.018 29X2+0.343 53X3; and a table was developed according to related point estimation. (3) There were 11 person/times (2.49%) out of 441 person/times whose mean body temperature surpassed the dynamic upper limit according to the table. Conclusion The mean body temperature is related to the environment temperature, humidity and work intensity in the heat-humid environment.The table developed by point estimation of the regression equation may help to ensure safe working in heat-humid environment. |
| Key words: hot-humid environment body temperature regression equation point estimation |
