A cross-lagged regression analysis between resilience, mental health and psychological stress of recruits during training

Abstract

Objective To explore the resilience and mental health of recruits during training, and to investigate mutual prediction of resilience between mental health and psychological stress to provide the scientific evidence for the mental health training and psychological selection of recruits. Methods Connor-Davidson resilience questionnaire (CD-RISC), symptom checklist(SCL-90), psychological stress self-evaluation test(PSET), satisfaction with life scale(SWLS), positive and negative affect scale(PANAS) were applied to 650 recruits in 2011 before starting training and after two months of training. Results ① Chinese recruits had good resilience, and the CD scores of pre-and post-test were (61.60±14.36) and (61.41±14.55) respectively.②Mental health (SCL-90) of two tests were good in recruits. ③ Correlation analysis showed that the same premise of phase correlation, resilience (pre-test) could significantly predict mental health (post-test) (β=0.070, P 0.05). Resilience (pre-test) could significantly predict psychological stress (post-test) (β=0.075, P 0.05). ④ Compared with high resilience group, low-resilience group of recruits had higher total score of SCL-90 and psychological stress and less positive emotion, more negative emotion and lower life satisfaction. Conclusion The recruits training have good resilience. Resilience of recruits have predictive ability to mental health, psychological stress during training. Key words: Training; Recruits; Resilience; Mental health; Cross-lagged regression analysis