METHODS: A total of 300 undergraduate students completed online surveys in 2019, 2020, and 2021. We examined the longitudinal effects of five factors (value-based behavior, goal-oriented and scheduled activities, positive reinforcement, self-compassion, and depressive symptoms) using structural equation modeling based on maximum likelihood estimation using bootstrapping.
RESULTS: The exploratory model was found to be valid and to have a good fit with the data. The results indicate that value-based behaviors increase the frequency of goal-oriented and scheduled activities, which in turn increases the frequency of positive reinforcement in everyday life. Additionally, when self-compassion, value-based behavior, goal-oriented and scheduled activities, and positive reinforcement are considered together, self-compassion may be indirectly related to activation via value-based behavior.
CONCLUSIONS: From the perspective of preventing depressive symptoms, it is important to increase the frequency of value-based activities. Furthermore, adding self-compassion is effective in behavioral activation to increase value-based activities. However, to address the limitations of this study, future studies should investigate the relationship among behavioral characteristics during interventions.
方法:在2019年,2020年和2021年,共有300名本科生完成了在线调查。我们研究了五个因素的纵向影响(基于价值的行为,以目标为导向和预定的活动,正强化,自我同情,和抑郁症状)使用基于最大似然估计的结构方程建模,使用自举。
结果:发现探索性模型是有效的,并且与数据具有良好的拟合。结果表明,基于价值的行为增加了目标导向和计划活动的频率,这反过来又增加了日常生活中积极强化的频率。此外,当自我同情,基于价值的行为,以目标为导向和预定的活动,和正强化一起考虑,自我同情可能与通过基于价值的行为的激活间接相关。
结论:从预防抑郁症状的角度来看,重要的是增加基于价值的活动的频率。此外,增加自我同情在行为激活中有效,以增加基于价值的活动。然而,为了解决这项研究的局限性,未来的研究应该调查干预期间行为特征之间的关系。