摘要: |
目的 探究军人心理控制源、心理弹性和疲劳间的关系。方法 选择553名官兵作为调查对象,采用内控性、有势力的他人及机遇(IPC)量表调查心理控制源,Conner-Davidson心理弹性量表(CD-RISC)调查心理弹性,疲劳量表14(FS-14)调查疲劳情况,构建结构方程模型分析变量间的关系。结果 回收有效问卷532份,有效回收率为96.2%。军人心理控制源在是否独生子女、入伍前户籍是农村还是城市、原生家庭结构完整与否上的差异均无统计学意义(P均>0.05),但在性别和受教育程度(高中及以下vs大学及以上)上的差异有统计学意义(P均<0.05)。军人疲劳在性别上差异有统计学意义(P<0.01),在其余人口学维度上差异均无统计学意义(P均>0.05)。低内控性(高外控性)军人疲劳程度明显高于高内控性(低外控性)军人(P<0.01);除内控性与躯体疲劳的相关性无统计学意义外,心理控制源3个维度、心理弹性3个维度和疲劳2个维度之间均两两相关(P均<0.01)。心理控制源和心理弹性可解释官兵疲劳变异的22.8%;中介效应模型和Bootstrap检验结果显示,心理控制源通过心理弹性间接影响疲劳(χ2/df=4.888,拟合优度指数=0.983,调整拟合优度指数=0.940,规范拟合指数=0.983,相对拟合指数=0.957,增值拟合指数=0.986,Tucker-Lewis系数=0.966,比较拟合指数=0.986,近似均方根误差=0.086)。心理弹性总的中介效应为22.58%。结论 心理弹性在军人心理控制源与疲劳间起部分中介作用。应重点关注偏外控性官兵的疲劳程度,提高心理弹性能力,降低疲劳水平,提高作业效能。 |
关键词: 心理控制源 心理弹性 疲劳 军事人员 |
DOI:10.16781/j.0258-879x.2021.11.1308 |
投稿时间:2020-02-08修订日期:2020-04-16 |
基金项目:全军"十三五"规划重点项目(BWS16J012). |
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Relationship between locus of control and fatigue among military personnel: mediating role of mental resilience |
HOU Tian-ya1,JING Min2,CAI Wen-peng1,DONG Wei1,DENG Wen-xi1,DENG Guang-hui1* |
(1. Department of Naval Aviation & Operational Psychology, Faculty of Psychology, Naval Medical University (Second Military Medical University), Shanghai 200433, China; 2. The 7th Department of Outpatient, General Hospital of PLA Eastern Theater Command, Nanjing 210000, Jiangsu, China *Corresponding author) |
Abstract: |
Objective To investigate the relationship between locus of control, mental resilience and fatigue among military personnel. Methods Internality, powerful others, and chance (IPC) scale, Conner-Davidson resilience scale (CD-RISC) and fatigue scale 14 (FS-14) were used to investigate locus of control, mental resilience and fatigue among 553 soldiers, respectively. Structural equation model was built to analyze the relationship between variables. Results There were 532 valid questionnaires and the effective response rate was 96.2%. There were no significant differences in locus of control between soldiers with different demographic factors including only-child or not, residence before entering army or complete structure of natal family (all P>0.05), but significant differences were found in gender and education level (senior high school or below vs university or above) (both P<0.05). For fatigue, there was significant difference in gender (P<0.01), but no significant difference in other demographic variables (all P>0.05); soldiers with low internal control (high external control) scored higher in fatigue than those with high internal control (low external control). The 3 dimensions of locus of control, 3 dimensions of mental resilience and 2 dimensions of fatigue were all correlated with each other significantly (all P<0.01), except correlation between internality and physical fatigue. Locus of control and mental resilience were able to explain 22.8% of the total variation of fatigue. The results of mediation model and Bootstrap test presented that mental resilience mediated the relationship between locus of control and fatigue among military personnel (χ2/df=4.888, goodness of fit index=0.983, adjusted goodness of fit index=0.940, normed fit index=0.983, relative fit index=0.957, incremental fit index=0.986, Tucker-Lewis index=0.966, comparative fit index=0.986, root mean square error of approximation=0.086). The total mediation effect of mental resilience was 22.58%. Conclusion Mental resilience partially mediates the association between locus of control and fatigue. We should pay more attention to fatigue of soldiers who tend to be externally controlled, help them improve mental resilience, reduce their fatigue, and enhance their work efficiency. |
Key words: locus of control mental resilience fatigue military personnel |