武警新兵集训期间伤病发生情况分析

发布时间：2018-11-01 12:26

【摘要】：目的分析武警新兵集训期间伤病发生的时间、兵源地域和城乡分布特点,为预防和减少各种伤病的发生提供依据。方法采用分层随机整群抽样方法,按照国际ICD-10标准进行疾病分类。采用Epiinfo6.0录入数据,SPSS11.0进行数据分析。结果新兵集训期间,呼吸系统疾病占所有系统疾病的54.06%。就伤病总的时间趋势而言,开训前2周呈上升趋势,以后逐渐下降,第2周、第6周和第10周出现3个高峰,昼夜发病率分别达到12.66‰、8.45‰和7.00‰。上呼吸道感染在第2周和第10周出现2个发病高峰,分别为6.54‰和3.94‰。胃肠炎的昼夜发病率第8周(1.14‰)和第11周(0.83‰)较高。踝关节扭伤的发病率第2周和第6周较高,分别为0.70‰和1.14‰。来自于华东、华北、华中和东北4个地区的新兵发病率有显著差异(χ2=71.217,P0.05)。4个地区间上呼吸道感染发病率不同(χ2=25.771,P0.05),而胃肠炎和踝关节扭伤无显著性差异(P0.05)。城乡新兵总发病率无显著性差异(χ2=0.021,P=0.884)。农村兵踝关节扭伤的发病率显著高于城镇兵(χ2=7.29,P=0.007)。上呼吸道感染和胃肠炎发病率在城乡新兵间无显著性差异。结论预防呼吸系统疾病对集训卫生防病工作意义重大;防病工作在不同训练期间应有所侧重;卫生防病预案的制定需要遵循疾病自身发病特点。
[Abstract]:Objective to analyze the time of injury and injury, the regional and urban distribution of soldiers during the training of armed police recruits, and to provide a basis for preventing and reducing the occurrence of various injuries. Methods stratified random cluster sampling was used to classify diseases according to international ICD-10 standards. Epiinfo6.0 was used to input data and SPSS11.0 was used for data analysis. Results during the training period, respiratory diseases accounted for 54.06% of all systemic diseases. In terms of the total time trend of injury and injury, the first two weeks of training showed an upward trend, and then decreased gradually. At the 2nd week, 6th week and 10th week, there were three peaks, the incidence rate of day and night reached 12.66 鈥，

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