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1.400038 重庆,陆军军医大学(第三军医大学):研究生院
2.471000 河南 洛阳,中国人民解放军96881部队心理服务中心
3.400038 重庆,陆军军医大学(第三军医大学):医学心理系军人发展与教育心理学教研室
4.400038 重庆,陆军军医大学(第三军医大学):医学心理系军事心理学教研室
5.400038 重庆,陆军军医大学(第三军医大学):医学心理系
[ 冯正直,E-mail: fzz@tmmu.edu.cn FENG Zhengzhi, E-mail: fzz@tmmu.edu.cn
收稿:2019-07-16,
修回:2019-08-27,
纸质出版:2019-12-30
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徐慧敏, 张娜, 元国豪, 等. 新训期新兵负性认知加工偏向与心理健康的关系追踪研究[J]. 第三军医大学学报, 2019,41(24):2450-2455.
Huimin XU, Na ZHANG, Guohao YUAN, et al. Negative cognitive processing bias and mental health in recruits during military training: a longitudinal study[J]. Journal of Third Military Medical University, 2019, 41(24): 2450-2455.
徐慧敏, 张娜, 元国豪, 等. 新训期新兵负性认知加工偏向与心理健康的关系追踪研究[J]. 第三军医大学学报, 2019,41(24):2450-2455. DOI: 10.16016/j.1000-5404.201907127.
Huimin XU, Na ZHANG, Guohao YUAN, et al. Negative cognitive processing bias and mental health in recruits during military training: a longitudinal study[J]. Journal of Third Military Medical University, 2019, 41(24): 2450-2455. DOI: 10.16016/j.1000-5404.201907127.
目的
2
追踪研究新训期新兵负性认知加工偏向与心理健康的发展特点及其关系。
方法
2
采用负性认知加工偏向问卷和军人心理健康量表,于新训早期(10月中旬),中期(11月中旬)和后期(12月中旬)对某部1 776名新兵进行调查,使用SPSS 22.0对调查数据进行重复测量的方差分析、相关分析和交叉滞后分析等统计学分析。
结果
2
① 新训期间,随着新训时间的增加,新兵总体的负性认知加工偏向水平显著下降(
P
<
0.01),心理健康水平显著上升(
P
<
0.01);②男兵在新训中期和后期的心理健康得分显著高于女兵(
P
<
0.01),但两者在负性认知加工偏向得分上差异无统计学意义;独生子女与非独生子女、不同文化程度的新兵在心理健康、负性认知加工偏向的得分上差异均无统计学意义;③新兵的负性认知加工偏向与心理健康呈显著负相关(
r
=-0.30~-0.47
P
<
0.01);④新训前期,新兵的心理健康能有效预测负性认知加工偏向水平(
β
=-0.19
P
<
0.01);新训后期,心理健康和负性认知加工偏向相互预测(
β
=-0.16
P
<
0.01;
β
=-0.04,
P
<
0.05)。
结论
2
新训期新兵整体的负性认知加工偏向水平呈下降趋势,在新训后期可以预测心理健康水平;而新兵整体的心理健康水平呈上升趋势,在整个新训期均能较好地预测负性认知加工偏向水平。
Objective
2
To investigate the development of negative cognitive processing bias (NCPB) and its relationship with mental health status in recruits during military training.
Methods
2
We assessed 1 776 military recruits using Negative Cognitive Processing Bias Questionnaire (NCPBQ) and Military Mental Health Scale in the early phase (mid-October)
middle phase (mid-November) and late phase (mid-December) of military training. Repeated measures analysis of variance
correlation analysis and cross-lagged regression analyses were used for statistical analysis of the data.
Results
2
During military training
the recruits exhibited significantly decreased overall level of negative cognitive processing bias (
P
<
0.01) and significantly improved mental health (
P
<
0.01) over time. The male recruits had significantly higher scores for mental health than the female recruits in the middle and late phases of military training
but their scores for negative cognitive processing bias did not differ significantly. Having siblings or not or the educational level did not significantly affect the scores of mental health or negative cognitive processing bias among the recruits. Negative cognitive processing bias was negatively correlated with mental health scores in the recruits (
r
=-0.30~-0.47
P
<
0.01). Mental health status negatively predicted negative cognitive processing bias in the early phase of military training (
β
=-0.19
P
<
0.01)
and mental health and negative cognitive processing bias mutually predicted each other in the late phase of the training (
β
=-0.16
P
<
0.01;
β
=-0.04
P
<
0.05).
Conclusion
2
The level of negative cognitive processing bias tends to decrease in the recruits during military training and is capable of predicting the level of mental health in the late phase of the training; the recruits show progressive improvement of mental health status
which predicts the level of negative cognitive processing bias throughout the training.
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