大学生自我同情、自尊和抑郁症状之间的纵向关系:从稳定的人际差异中析出人内过程。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xuliang Shi, Wangjia Zhang, Xiaoyan Chen, Ya Zhu
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引用次数: 0

摘要

尽管以往的研究表明,自我同情与自尊和抑郁症状有关,但对这些变量的个体内部过程和时间动态却知之甚少。本研究采用纵向设计,在 5785 名大学生(年龄在 17-22 岁之间;平均年龄 = 18.63,平均差异 = 0.88;女性占 48.2%)中探讨了自我同情、自尊和抑郁症状之间的关联。在三年的时间里,每隔六个月对参与者进行六次评估。随机截距交叉滞后面板模型(RI-CLPM)用于将人内过程与稳定的人际差异区分开来。随机截距交叉滞后面板模型(RI-CLPMs)的结果表明,在人内水平上,自怜可以正向预测随后的自尊,负向预测随后的抑郁症状,反之亦然。在人的内部水平上,自尊在自怜对抑郁症状的预测中起着纵向中介作用。这些结果表明,培养大学生的自我同情至关重要,因为这可以增强他们的自尊并减轻抑郁症状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Longitudinal Relations among Self-Compassion, Self-Esteem, and Depressive Symptoms in College Students: Disentangling the Within-Person Process from Stable Between-Person Differences.

Longitudinal Relations among Self-Compassion, Self-Esteem, and Depressive Symptoms in College Students: Disentangling the Within-Person Process from Stable Between-Person Differences.

Although previous studies have shown that self-compassion is associated with self-esteem and depressive symptoms, little is known about the intra-individual processes and the temporal dynamics of these variables. This study used a longitudinal design to explore the association between self-compassion, self-esteem and depressive symptoms among 5785 college students (aged 17-22 years; Mage = 18.63, SD = 0.88; 48.2% females). The participants were assessed six times in a six-month interval over three years. The random intercept cross-lagged panel models (RI-CLPMs) were used to disentangle within-person processes from stable between-person differences. Results of RI-CLPMs indicated that at the within-person level, self-compassion can positively predict subsequent self-esteem and negatively predict subsequent depressive symptoms, and vice versa. Self-esteem played a longitudinal mediating role in the prediction from self-compassion to depressive symptoms at the within-person level. These results indicate that cultivating self-compassion in college students is crucial as it can bolster their self-esteem and alleviate depressive symptoms.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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