Different decade-feature of military personnel' mental maladjustment and its influencing factors
10.3760/cma.j.issn.1674-6554.2011.11.025
- VernacularTitle:不同年代军人适应不良特征及其影响因素研究
- Author:
Liyi ZHANG
;
Guisen MEI
;
Zhongwen REN
;
Zhibin ZHANG
;
Huagen ZOU
;
Xiaohui LIU
;
Jijun CHEN
;
Lingming KONG
;
Chunxia CHEN
;
Gaofeng YAO
- Publication Type:Journal Article
- Keywords:
Adjustment disorders;
Military personnel;
Correlated factors;
Decade feature
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2011;20(11):1037-1039
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the decade-feature of military personnel' mental maladjustment and its influenced factors.MethodsBy random cluster sampling,a total of 10883 military personnel( including army,navy and air-force) were tested by military mental maladjustment scale (MMMS) in three decades (80s' 90s',2000),then employing SPSS 17.0 for data analysis by using ANOVA,LSD multiple-comparison,and stepwise regression analysis.ResultsThe single scores for behavioral disorders( (2.79 ±2.96),(3.42 ± 2.98 ) vs (2.85± 2.93 ) ),affective disorders ( ( 1.50 ± 1.47 ),( 1.76 ± 1.50 ) vs ( 1.51 ± 1.47 ) ),interpersonal relationship( ( 1.78 ± 1.93 ),( 2.44 ± 2.14) vs (2.30 ± 2.18 ) ),environmental adjustment( (0.63 ± 0.94 ),( 0.89 ± 1.02 )vs ( 1.02 ± 1.18) ),and total score ( ( 6.71 ± 6.01 ),( 8.50 ± 6.20) vs ( 7.69 ± 6.89 ) ) had significant differences in the three decades (P ＜ 0.01 ).The changing disposition of behavior,emotion,interpersonal relationship and total mental maladjustment seemed as reversed V in three decades,but environmental adjustment revealed linear increase; stepwise regression analysis revealed that total scores of mental maladjustment had significant decadeeffect after introducing other four independent variables( t =5.96,P =0.000 ) ; the educational level,urban-rural also had significant influence on military mental maladjustment( t =- 3.15,- 9.02,P =0.002 ～ 0.000 ).ConclusionThe mental maladjustment of military personnel reveale a decreasing disposition from 80s',90s' of last century to the year of 2000 ; the influencing factors are decade,educational level and rural-urban.
