成人行为情绪调节评估及其与心理健康的关系:BERQ日文版。

IF 2.7
Yoshiko Kato, Takahiro Yamane, Yasunori Murata
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引用次数: 0

摘要

目的:本研究旨在检验日本版行为情绪调节问卷(BERQ)的心理测量特征,并探讨BERQ与心理健康(抑郁、焦虑和幸福感)的关系。方法:首先,对489名成年被试(男246人,女243人,平均年龄45.8±13.5岁)的心理测量特征及其与心理健康的相关性进行分析。其次,在375名日本参与者(189名男性和186名女性,平均年龄46.9±13.2岁)中采用两波、三周的面板设计,采用结构方程模型来检验BERQ评分亚量表与心理健康之间的交叉滞后关联。结果:验证性因子分析支持条目分配到子量表,所有量表的Cronbach's alpha系数都很高。更多地使用各种因素,如寻求分心、积极接近和寻求社会支持,与更大的幸福感相关。相反,更多的戒断与更高的抑郁和焦虑水平有关,但幸福感较低。然而,有趣的是,潜在交叉滞后面板分析的结果表明,戒断对抑郁有积极影响,对幸福感有消极影响,但对焦虑没有显著影响。而焦虑对戒断反应有积极作用。结论:本研究结果强调BERQ日文版是评估行为情绪调节策略的有效工具。此外,心理过程的一个方面已经提出,表明焦虑可能在放大退缩中起关键作用,并可能导致抑郁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessment of behavioral emotion regulation and relationship with mental health in adults: BERQ Japanese version.

Assessment of behavioral emotion regulation and relationship with mental health in adults: BERQ Japanese version.

Assessment of behavioral emotion regulation and relationship with mental health in adults: BERQ Japanese version.

Assessment of behavioral emotion regulation and relationship with mental health in adults: BERQ Japanese version.

Objective: This study aimed to examine the psychometric properties of the Japanese version of the Behavioral Emotion Regulation Questionnaire (BERQ) and explore the relation between the BERQ and mental health (depression, anxiety, and well-being).

Methods: First, with a sample of 489 adult participants (246 males and 243 females; mean age 45.8 ± 13.5 years), the psychometric properties of the BERQ and its correlation with mental health were examined. Second, with a two-wave, three-week panel design among 375 Japanese participants (189 males and 186 females; mean age 46.9 ± 13.2 years), structural equation modeling was employed to examine the cross-lagged associations between the subscales of BERQ score and mental health.

Results: Confirmatory factor analysis supported the allocation of the items to the subscales, with high Cronbach's alpha coefficients for all the scales. Greater use of various factors, such as Seeking Distraction, Actively Approaching, and Seeking Social Support, was correlated with greater well-being. Conversely, greater use of Withdrawal was related to higher depression and anxiety levels but lower well-being. However, interestingly, the results of latent cross-lagged panel analysis indicated Withdrawal had a positive effect on depression, a negative effect on well-being, however, no significant effect on anxiety. Whereas anxiety had a positive effect on Withdrawal.

Conclusion: The results of this study highlight BERQ Japanese version is useful tool to assess the behavioral emotion regulation strategies. Moreover, an aspect of psychological process has been suggested, indicating that anxiety may play a key role in amplifying withdrawal, and may lead depression.

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