The Effects of an Intermodal Art Therapy Program on Depression, Anxiety, Stress, and Emotion Regulation Skill Levels in Nursing Students: A Randomized Controlled Study

Nursing students face stress during their education, especially when transitioning to clinical practice; poorly managed stress reduces academic achievement and increases levels of depression and anxiety. Therefore, developing students' emotional awareness and coping skills is important. Art therapy is an effective method that supports individuals in self-expression and the development of emotion regulation skills. Although the literature shows positive effects of art-based interventions on psychological well-being, there are limited randomized controlled studies that address depression, anxiety, stress, and emotion regulation skills together in nursing students. Accordingly, this study aims to determine the effect of an intermodal art therapy program on these variables in nursing students. The research was planned as a two-group, single-blind, observational, randomized controlled interventional study. The population of the study will consist of 1st and 2nd-year nursing students studying at Istanbul Atlas University, and 44 students meeting the inclusion-exclusion criteria will constitute the sample of the study. The intermodal art therapy program will be applied to the intervention group. Data; Data will be collected using an Individual Demographic Form, the Depression, Anxiety, Stress Scale, and the Emotion Regulation Skills Scale. Interventions will be administered in approximately grouped sessions, once a week, for a total of 8 sessions, each lasting 90 minutes, in a structured format. Data analysis will be performed using the SPSS 23.0 software package. Descriptive statistics such as frequency distribution, mean, and standard deviation will be used to define the sample size; pairwise pairs or the Wilcoxon pairwise test will be used for intragroup comparisons according to parametric test assumptions; and the Chi-square test will be used for the analysis of categorical data. A 95% significance level will be used to determine differences in the analyses. This study