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目的:探讨野战部队某部官兵疲劳与睡眠状况的相关性。方法:随机整群抽取野战部队某部官兵250例,采用中文版多维疲劳量表(MFI-20)和匹兹堡睡眠质量指数量表(PSQI)等对其疲劳和睡眠状况进行测评,并分析两者的相关性。结果:野战部队某部官兵MFI-20总分(46.55±13.81)分,以体力疲劳为主;PSQI总分(3.67±2.62)分,主要是睡眠时间不足。Pearson相关分析结果显示,除入睡时间和日间功能障碍两个因子无相关性外,睡眠总分、睡眠质量、睡眠时间、睡眠障碍、催眠药物与野战部队官兵体力疲劳呈显著或非常显著正相关(P<0.05,P<0.01);睡眠时间、催眠药物与活动减少、动力下降、脑力疲劳和疲劳总分呈显著或非常显著正相关(P<0.05,P<0.01);睡眠总分与动力下降、脑力疲劳和疲劳总分呈非常显著正相关(P<0.01);睡眠效率与疲劳各因子和疲劳总分呈非常显著负相关(P<0.01)。Logistic逐步回归分析结果显示,职别、文化程度进入以睡眠总分为因变量的回归方程(P<0.05);性别进入以疲劳总分为因变量的回归方程(P<0.05)。结论:野战部队某部官兵疲劳与睡眠状况显著相关,职别、文化程度和性别是影响官兵疲劳与睡眠状况的独立危险因素。
Objective: To explore the correlation between fatigue and sleep status of officers and soldiers in a certain field unit. Methods: A total of 250 officers and soldiers of a field unit were selected from a random cluster. The fatigue and sleep status were assessed using the Chinese version of Multidimensional Fatigue Scale (MFI-20) and Pittsburgh Sleep Quality Index Scale (PSQI) Relevance. Results: The MFI-20 score of a certain unit of the field unit was 46.55 ± 13.81 points, mainly physical fatigue. The PSQI score was 3.67 ± 2.62 points, mainly due to lack of sleep time. Pearson correlation analysis showed that there was a significant or very significant positive correlation between sleep total score, sleep quality, sleep time, sleep disturbance, hypnotic drugs and physical fatigue of officers and soldiers in field units, except for the correlation between sleep time and daytime dysfunction (P <0.05, P <0.01). There was a significant or significant positive correlation (P <0.05, P <0.01) between sleep hypnosis drugs and activity reduction, motility decline, mental fatigue and total fatigue scores (P <0.01). There was a significant negative correlation between sleep efficiency and fatigue scores and total fatigue scores (P <0.01). Logistic stepwise regression analysis showed that occupational and cultural levels entered the regression equation with the total score of sleep as the dependent variable (P <0.05), and gender entered the regression equation with the total fatigue as the dependent variable (P <0.05). Conclusions: Fatigue of a certain unit of field units is significantly related to sleep state. Occupation, educational level and gender are the independent risk factors that affect the fatigue and sleep status of officers and soldiers.