Division of Arts, Shenzhen University, Shenzhen 518060, China.
School of Education, Research Institute of Macau Education Development, City University of Macau, Macau 999078, China.
Int J Environ Res Public Health. 2022 Jun 23;19(13):7658. doi: 10.3390/ijerph19137658.
As an alternative to traditional verbal counselling, expressive arts therapy has been shown to be an effective method of mental health care, particularly when dealing with stressful public interactions, such as those associated with COVID-19. However, few studies have been conducted to determine the efficacy of expressive arts therapy on the resilience of psychologically exposed university students during COVID-19. Furthermore, since network analysis appears to be a popular approach in psychological research, it has not been used in recent intervention studies for resilience. As a result, the current study utilized a network analysis approach to determine the efficacy of expressive arts therapy on the resilience of university students during the COVID-19 pandemic. A total of 263 students in a comprehensive university in China were selected for the therapy group between March and November 2021. In a pre-post design, students' resilience was assessed using the Resiliency Scale for University Students (RSUS). The extended Bayesian information criteria (EBIC) and graphical LASSO were used to estimate and define paired resilience networks, and the strength, betweenness, and closeness indices were utilized to determine the centrality of the six facets of resilience. Additionally, we verified the stability and accuracy. It was discovered that significant differences appeared between the paired networks before and after expressive arts therapy. Facets of self-efficacy, self-acceptance and problem-solving in resilience were notably improved after the therapy, with the variable of emotional stability sustained at the mean level. Meanwhile, the network analysis has highlighted the central variable of self-efficacy in the pre-intervention and support from friends in the post-intervention. The connectivity among the components of problem solving, support from friends, and support from family was enhanced, with support from friends playing the role of hub nod in the following network. By utilizing a network analytic approach, expressive arts therapy can be more targeted in intervening in resilience mechanisms. As a proxy for efficacious problem-solving, intervention should be calibrated to the cultivation of social support networks, especially in the support from friends.
作为传统口头咨询的替代方法，表达性艺术疗法已被证明是一种有效的心理健康护理方法，特别是在处理与 COVID-19 相关的有压力的公众互动时。然而，很少有研究确定表达性艺术疗法对 COVID-19 期间心理暴露的大学生的韧性的疗效。此外，由于网络分析似乎是心理研究中的一种流行方法，因此它在最近的关于韧性的干预研究中并未被使用。因此，本研究采用网络分析方法来确定表达性艺术疗法对 COVID-19 大流行期间大学生韧性的疗效。2021 年 3 月至 11 月期间，在中国一所综合性大学中选择了 263 名学生参加该疗法组。在预-后设计中，使用大学生韧性量表（RSUS）评估学生的韧性。扩展贝叶斯信息标准（EBIC）和图形 LASSO 用于估计和定义配对的韧性网络，并且使用强度、中间度和接近度指数来确定韧性的六个方面的中心性。此外，我们验证了稳定性和准确性。研究发现，表达性艺术疗法前后的配对网络之间存在显著差异。在治疗后，韧性的自我效能、自我接纳和解决问题方面有显著改善，情绪稳定性变量保持在平均水平。同时，网络分析突出了干预前自我效能的中心变量和干预后朋友的支持。解决问题、朋友支持和家庭支持各组成部分之间的连接性得到了增强，朋友的支持在后续网络中充当了枢纽节点。通过使用网络分析方法，表达性艺术疗法可以更有针对性地干预韧性机制。作为有效的解决问题的代理，干预措施应针对社会支持网络的培养进行调整，特别是在朋友的支持方面。
