武警新兵集訓(xùn)期間傷病發(fā)生情況分析
發(fā)布時(shí)間:2018-11-01 12:26
【摘要】:目的分析武警新兵集訓(xùn)期間傷病發(fā)生的時(shí)間、兵源地域和城鄉(xiāng)分布特點(diǎn),為預(yù)防和減少各種傷病的發(fā)生提供依據(jù)。方法采用分層隨機(jī)整群抽樣方法,按照國(guó)際ICD-10標(biāo)準(zhǔn)進(jìn)行疾病分類。采用Epiinfo6.0錄入數(shù)據(jù),SPSS11.0進(jìn)行數(shù)據(jù)分析。結(jié)果新兵集訓(xùn)期間,呼吸系統(tǒng)疾病占所有系統(tǒng)疾病的54.06%。就傷病總的時(shí)間趨勢(shì)而言,開訓(xùn)前2周呈上升趨勢(shì),以后逐漸下降,第2周、第6周和第10周出現(xiàn)3個(gè)高峰,晝夜發(fā)病率分別達(dá)到12.66‰、8.45‰和7.00‰。上呼吸道感染在第2周和第10周出現(xiàn)2個(gè)發(fā)病高峰,分別為6.54‰和3.94‰。胃腸炎的晝夜發(fā)病率第8周(1.14‰)和第11周(0.83‰)較高。踝關(guān)節(jié)扭傷的發(fā)病率第2周和第6周較高,分別為0.70‰和1.14‰。來(lái)自于華東、華北、華中和東北4個(gè)地區(qū)的新兵發(fā)病率有顯著差異(χ2=71.217,P0.05)。4個(gè)地區(qū)間上呼吸道感染發(fā)病率不同(χ2=25.771,P0.05),而胃腸炎和踝關(guān)節(jié)扭傷無(wú)顯著性差異(P0.05)。城鄉(xiāng)新兵總發(fā)病率無(wú)顯著性差異(χ2=0.021,P=0.884)。農(nóng)村兵踝關(guān)節(jié)扭傷的發(fā)病率顯著高于城鎮(zhèn)兵(χ2=7.29,P=0.007)。上呼吸道感染和胃腸炎發(fā)病率在城鄉(xiāng)新兵間無(wú)顯著性差異。結(jié)論預(yù)防呼吸系統(tǒng)疾病對(duì)集訓(xùn)衛(wèi)生防病工作意義重大;防病工作在不同訓(xùn)練期間應(yīng)有所側(cè)重;衛(wèi)生防病預(yù)案的制定需要遵循疾病自身發(fā)病特點(diǎn)。
[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,
本文編號(hào):2303921
[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,
本文編號(hào):2303921
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