Literature DB >> 19160625

Estimated mental health and analysis of relative factors for new Chinese recruits.

Jin Yan1, Li-Jie Wang, Qi Cheng, Dan-Min Miao, Li-Yi Zhang, Shui-Ping Yuan, Ting An, Yu Pan.   

Abstract

OBJECTIVE: The primary aim of the present study was to quantitatively assess and analyze influential psychosocial factors in the mental health of new military recruits.
METHODS: A total of 2,734 army recruits were evaluated by using the Symptom Checklist-90 (SCL-90) and Trait Meta-Mood Scale.
RESULTS: In general, the army recruits were found to be in a good state of mental health. The SCL-90 scores of the new recruits were significantly higher than those of the normal civilian population (p < 0.01). The new recruits were similar to the normal army population, with notable exceptions in the following three scales: obsessive-compulsive, depression, and anxiety (p < 0.01 or p < 0.05). Factors that significantly influenced the SCL-90 scores included childhood environment, education level, and parental relationship. Results from the current study also revealed negative associations between the SCL-90 global severity index and the Trait Meta-Mood Scale subscale scores (p < 0.01).
CONCLUSION: The mental health status of army recruits is closely related to their childhood environment, education level, parental relationship, and emotional intelligence. These factors should be considered by mental health workers, to help new army recruits adapt to the new environment.

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Year:  2008        PMID: 19160625     DOI: 10.7205/milmed.173.10.1031

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  2 in total

1.  The temperament and character of korean male conscripts with military maladjustment-a preliminary study.

Authors:  Kyoung-Ho Han; Sung-Bu Lee
Journal:  Psychiatry Investig       Date:  2013-05-30       Impact factor: 2.505

2.  Mental health of Automobile Transportation Troop personnel stationed in the Western Sichuan Plateau of China.

Authors:  Yan Tan; Yunming Li; Juan Wu; Fuqin Chen; Hao Lu; Shijun Lu; Xianjun Yang; Xiao Ma
Journal:  Medicine (Baltimore)       Date:  2018-03       Impact factor: 1.889

  2 in total

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