Department of Psychology, University of Michigan.
J Consult Clin Psychol. 2023 Dec;91(12):708-716. doi: 10.1037/ccp0000844. Epub 2023 Sep 21.
Graduate students are at greater risk of developing mental health concerns than other adults in their age group. Despite the need for care within this population, there is a lack of literature on accessible interventions designed specifically to meet the needs of graduate students. The present study examines the efficacy of a novel intervention: Mood Lifters for Graduate Students (ML-GS).
This study is a clinical trial with randomization. The sample size consisted of 131 participants. The average age was 25.95 years, and the sample was 88.5% women, 61.8% White, and 65.6% straight or heterosexual. Participants completed the same survey before and after participating in ML-GS, as well as 1-month after completing ML-GS. Three measures from those surveys were examined in this study: Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Perceived Stress Scale. Two-way mixed-design analyses of variance (ANOVAs) and repeated measures ANOVAs were used to analyze these data.
Results indicated that participants enrolled in ML-GS experienced significant, clinically meaningful reductions in depression, anxiety, and stress, when compared to their waitlist counterparts. The changes made during the ML-GS program were also maintained at the 1-month follow-up.
These findings suggest that ML-GS is effective in reducing depression, anxiety, and stress among graduate students. It may be a good solution for the large demand for mental health support in that population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
与同年龄段的其他成年人相比，研究生群体出现心理健康问题的风险更大。尽管该人群需要得到关怀，但针对研究生需求而专门设计的可及性干预措施相关文献却十分匮乏。本研究旨在检验一种新型干预措施——研究生情绪提升计划（ML-GS）的疗效。
本研究采用随机分组的临床试验设计。样本量由 131 名参与者组成。参与者的平均年龄为 25.95 岁，其中 88.5%为女性，61.8%为白人，65.6%为异性恋或直人。参与者在参加 ML-GS 前后以及完成 ML-GS 后 1 个月完成了相同的调查。本研究分析了这些调查中的 3 项指标：患者健康问卷-9 项量表、广泛性焦虑障碍-7 项量表和感知压力量表。采用双向混合设计方差分析（ANOVA）和重复测量方差分析对这些数据进行分析。
结果表明，与候补组相比，参加 ML-GS 的参与者的抑郁、焦虑和压力显著降低，且具有临床意义。在 ML-GS 项目期间做出的改变在 1 个月的随访中也得到了维持。
这些发现表明，ML-GS 可有效降低研究生的抑郁、焦虑和压力。对于该人群对心理健康支持的巨大需求而言，它可能是一种很好的解决方案。
