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1.400038 重庆,陆军军医大学(第三军医大学):医学心理系军人发展心理学教研室
2.400038 重庆,陆军军医大学(第三军医大学):教学考评中心
[ 冯正直,E-mail:fzz@tmmu.edu.cn FENG Zhengzhi, E-mail:fzz@tmmu.edu.cn
收稿:2020-03-25,
修回:2020-04-28,
纸质出版:2020-08-30
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张晶轩, 王佳, 薛奕童, 等. 高原军人情绪调节方式对焦虑情绪影响的交叉滞后研究[J]. 第三军医大学学报, 2020,42(16):1592-1599.
Jingxuan ZHANG, Jia WANG, Yitong XUE, et al. Effect of different emotional regulation strategies on anxiety in military personnel serving in high-altitude regions: a cross-lagged analysis[J]. Journal of Third Military Medical University, 2020, 42(16): 1592-1599.
张晶轩, 王佳, 薛奕童, 等. 高原军人情绪调节方式对焦虑情绪影响的交叉滞后研究[J]. 第三军医大学学报, 2020,42(16):1592-1599. DOI: 10.16016/j.1000-5404.202003339.
Jingxuan ZHANG, Jia WANG, Yitong XUE, et al. Effect of different emotional regulation strategies on anxiety in military personnel serving in high-altitude regions: a cross-lagged analysis[J]. Journal of Third Military Medical University, 2020, 42(16): 1592-1599. DOI: 10.16016/j.1000-5404.202003339.
目的
2
研究高原军人情绪调节方式对焦虑情绪影响的时间变化特点和影响因素。
方法
2
采用状态特质焦虑问卷、军人情绪调节方式问卷对青藏线某部不同驻地军人在2016年8月和2017年8月进行2次团体测评,第一次纳入军人600人,第二次剩余有效样本584例,同时收集人口学信息和环境因素,采用交叉滞后回归模型对情绪调节方式及4个因子(认知重视、情感求助、自我安慰、行为抑制)影响焦虑情绪的时间变化特点进行分析,并将人口学信息和环境因素纳入模型进行控制,同时考察其在焦虑情绪变化过程中的作用。模型可接受的指数标准为CFI>0.9、TLI>0.9、RMSEA < 0.08。
结果
2
① 纳入协变量后情绪调节方式和4个因子与状态、特质焦虑的模型拟合均分别可以接受(CFI=0.942、0.959、0.961、0.929、0.956,TLI=0.933、0.952、0.955、0.918、0.949,RMSEA=0.059、0.051、0.050、0.064、0.055)。②情绪调节方式对次年状态、特质焦虑有显著负向预测效应(
P
<
0.05),而反之无显著预测效应(
P
>
0.05)。③认知重视对次年状态、特质焦虑有显著正向预测效应(
P
<
0.01),情感求助和自我安慰对次年状态、特质焦虑有显著负向预测效应(
P
<
0.01),行为抑制对次年状态、特质焦虑无显著预测效应(
P
>
0.05),状态、特质焦虑对次年4种情绪调节方式无预测效应(
P
>
0.05)。④状态焦虑随时间呈显著的负向变化(
P
<
0.01),特质焦虑和情绪调节方式随时间变化不显著(
P
>
0.05)。⑤文化程度在情绪调节方式、认知重视、情感求助、行为抑制和自我安慰模型中对状态焦虑均存在显著负向影响(
P
<
0.05,
P
<
0.01),环境适应在五个模型中对状态焦虑(
P
<
0.01)和特质焦虑(
P
<
0.01,
P
<
0.05)均存在显著负向影响。
结论
2
文化程度、环境适应与焦虑水平有关,情绪调节方式对焦虑的变化有显著影响。在心理干预中应鼓励军人更多地使用情感求助、自我安慰的情绪调节方式,而少采用认知重视、行为抑制等方式。
Objective
2
To study the effect of different emotional regulation strategies on anxiety and the factors contributing to anxiety in military personnel serving in high-altitude regions.
Methods
2
Using State-Trait Anxiety Inquiry (STAI) and Armymen Emotional Regulation Types Questionnaire (AERTQ)
we conducted 2 groups assessments of the military personnel serving in high-altitude regions along the Qinghai-Tibet Supply Line in August
2016 (600 subjects) and in August
2017 (584 subjects) and collected the demographic and environmental data from the participants. The temporal variations of the effects of emotional regulation strategies and the 4 factors (strengthened attention
emotional appeal
self-consolation and behavioral inhibition) on anxiety were analyzed using a cross-lagged regression model
which included the demographic data and environmental factors to examine their effects on the changes of anxiety emotion. The acceptable criteria for model fit index were TLI>0.9
CFI>0.9
and RMSEA < 0.08.
Results
2
① After inclusion of the covariates
the model fit indices of emotional regulation and its 4 factors with state anxiety and trait anxiety were acceptable (CFI=0.942
0.959
0.961
0.929
0.956; TLI=0.933
0.952
0.955
0.918
0.949; RMSEA=0.059
0.051
0.050
0.064
0.055). ②Emotional regulation strategies had significant negative predictive effect on state and trait anxiety (
P
<
0.05) in the next year
but not vice versa (
P
>
0.05). ③Strengthened attention had a significant positive predictive effect on state and trait anxiety (
P
<
0.01)
while emotional appeal and self-consolation had significant negative predictive effects (
P
<
0.01); behavioral inhibition had no effect on state and trait anxiety (
P
>
0.05). State and trait anxiety had no predictive effects on the 4 dimensions of emotional regulation (
P
>
0.05). ④State anxiety showed a significant negative growth with time (
P
<
0.01)
and trait anxiety and emotional regulation strategies showed no obvious changes with time (
P
>
0.05). ⑤Educational level had negative effects on state anxiety in models that included emotional regulation
strengthened attention
emotional appeal
self-consolation and behavioral inhibition (
P
<
0.05
P
<
0.01). Environmental adaptation had negative effects on state anxiety (
P
<
0.01) and trait anxiety (
P
<
0.01
P
<
0.05) in the 5 models.
Conclusion
2
Educational level and environmental adaptation are correlated with anxiety in military personnel serving in high-altitude regions. Emotional regulation strategies can significantly affect the growth of anxiety
and during psychological interventions
emotional appeal and self-consolation
but not strengthened attention and behavioral inhibition
should be encouraged for emotional regulation.
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