Suppr超能文献

自我同情多维性的潜在特征预测COVID-19期间青少年的心理调适结果:一项纵向混合回归分析。

Latent profiles of multi-dimensionality of self-compassion predict youth psychological adjustment outcomes during the COVID-19: A longitudinal mixture regression analysis.

作者信息

Chi Xinli, Huang Liuyue, Zhang Junjie, Wang Enna, Ren Yizhen

机构信息

Center for Mental Health, School of Psychology, Shenzhen University, Shenzhen, 518061 China.

Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, 100875 China.

出版信息

Curr Psychol. 2022 Jul 11:1-12. doi: 10.1007/s12144-022-03378-3.

Abstract

The multi-dimensionality of self-compassion and its influence on college students' adjustments have not been widely examined during the COVID-19 pandemic. The current study aims to explore profiles of self-compassion dimensions in Chinese college students and examine the predictive effects of different profiles on students' adjustment outcomes. A longitudinal online survey of college students was conducted in mainland China. In May of 2020, college students (N = 1361) completed Neff's Self-Compassion Scale-Short Form during the home quarantine period. Six months after the baseline assessment, students (N = 717) reported their level of anxiety symptoms, depression symptoms, insomnia symptoms, complex post-traumatic stress (CPTSD) symptoms, post-traumatic growth (PTG), and positive youth development (PYD). A latent profile analysis was adopted to identify profiles of self-compassion dimensions. A longitudinal regression mixture model was used to examine the predictive effects of different self-compassion profiles on college students' adjustment outcomes. Three classes best characterized the self-compassion dimensions of college students: the compassionate group (54.1%), the uncompassionate group (38.6%), and the extremely uncompassionate group (7.3%). College students in the compassionate group scored significantly higher on positive adjustment indicators (PTG and PYD), and significantly lower on negative adjustment indicators (anxiety, depression, insomnia, and CPTSD symptoms) than students in the other two groups. College students in the uncompassionate group scored significantly lower on negative indicators, and higher on PYD scores than students in the extremely uncompassionate group, but did not differ in PTG levels from students in the extremely uncompassionate group. College students in the compassionate group adjusted best across groups. The limitations that using a composite score to represent the relative balance of self-compassion dimensions were highlighted. Intervention programs need to focus on improving the level of positive self-responses in college students.

摘要

在新冠疫情期间,自我同情的多维度性及其对大学生适应的影响尚未得到广泛研究。本研究旨在探索中国大学生自我同情维度的概况,并检验不同概况对学生适应结果的预测作用。在中国大陆对大学生进行了一项纵向在线调查。2020年5月,大学生(N = 1361)在居家隔离期间完成了内夫的自我同情量表简版。在基线评估六个月后,学生(N = 717)报告了他们的焦虑症状、抑郁症状、失眠症状、复杂性创伤后应激障碍(CPTSD)症状、创伤后成长(PTG)和积极青少年发展(PYD)水平。采用潜在剖面分析来识别自我同情维度的概况。使用纵向回归混合模型来检验不同自我同情概况对大学生适应结果的预测作用。三个类别最能表征大学生的自我同情维度:富有同情心组(54.1%)、缺乏同情心组(38.6%)和极度缺乏同情心组(7.3%)。与其他两组学生相比,富有同情心组的大学生在积极适应指标(PTG和PYD)上得分显著更高,在消极适应指标(焦虑、抑郁、失眠和CPTSD症状)上得分显著更低。缺乏同情心组的大学生在消极指标上得分显著低于极度缺乏同情心组的学生,在PYD得分上高于极度缺乏同情心组的学生,但在PTG水平上与极度缺乏同情心组的学生没有差异。富有同情心组的大学生在各组中适应得最好。研究强调了使用综合分数来代表自我同情维度相对平衡的局限性。干预项目需要专注于提高大学生积极自我反应的水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e5/9273687/8139315ce8ad/12144_2022_3378_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验