首页> 中文期刊> 《解放军医学杂志》 >基层军官职业压力、社会支持与职业倦怠的典型相关分析

基层军官职业压力、社会支持与职业倦怠的典型相关分析

         

摘要

目的 研究基层军官的职业压力及社会支持对职业倦怠的影响.方法 以基层军官职业压力量表、社会支持量表、职业倦怠量表为测试工具,以基层单位(营连排)干部为测试对象,共发放量表260份,收回有效问卷226份,采用描述性统计及典型相关分析模块分析各变量的影响.结果 基层军官职业压力、社会支持、职业倦怠量表中,除人际支持和去个性化2个因子外,其余得分均达到中度以上水平.典型分析共获得3组典型相关因素,其中2组达到非常显著水平( P<0.001).进一步剔除社会支持变量后,对职业压力与职业倦怠的典型相关分析显示,第1,2对典型相关系数p分别是0.62和0.36,亦达到非常显著水平(P<0.001).结论 基层军官职业压力各因子水平越高,职业倦怠的低成就感、情绪衰竭、去个性化就越重.而社会支持则通过减少职业发展、工作特点、工资待遇、个人因素的压力作用来减缓基层军官职业倦怠的发生及严重程度.%Objective The present study investigates the influence of professional stress and social support on professional burnout among low-rank army officers. Methods The professional stress. social support, and professional burnout scales among low-rank army officers were used as test tools. Moreover, the officers of established units (battalion, company, and platoon) were chosen as test subjects. Out of the 260 scales sent, 226 effective scales were received. The descriptive statistic and canonical correlation analysis models were used to analyze the influence of each variable. Results The scores of low-rank army officers in the professional stress, social support, and professional burnout scales were more than average, except on two factors, namely, interpersonal support and de-individualization. The canonical analysis identified three groups of canonical correlation factors, of which two were up to a significant level (P<0.001). After further eliminating the social support variable, the canonical correlation analysis of professional stress and burnout showed that the canonical correlation coefficients P corresponding to 1 and 2 were 0. 62 and 0. 36, respectively, and were up to a very significant level (P< 0.001). Conclusion The low-rank army officers experience higher professional stress and burnout levels, showing a lower sease of accomplishment, emotional exhaustion, and more serious depersonalization. However, social support can reduce the onset and seriousness of professional burnout among these officers by lessening pressure factors, such as career development, work features, salary conditions, and other personal factors.

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