Musiat Peter, Conrod Patricia, Treasure Janet, Tylee Andre, Williams Chris, Schmidt Ulrike
Department of Psychology, King's College London, Institute of Psychiatry, London, United Kingdom.
Centre hospitalier universitaire Sainte-Justine, Université de Montréal, Montréal, Canada.
PLoS One. 2014 Apr 15;9(4):e93621. doi: 10.1371/journal.pone.0093621. eCollection 2014.
A large proportion of university students show symptoms of common mental disorders, such as depression, anxiety, substance use disorders and eating disorders. Novel interventions are required that target underlying factors of multiple disorders.
To evaluate the efficacy of a transdiagnostic trait-focused web-based intervention aimed at reducing symptoms of common mental disorders in university students.
Students were recruited online (n=1047, age: M=21.8, SD=4.2) and categorised into being at high or low risk for mental disorders based on their personality traits. Participants were allocated to a cognitive-behavioural trait-focused (n=519) or a control intervention (n=528) using computerised simple randomisation. Both interventions were fully automated and delivered online (trial registration: ISRCTN14342225). Participants were blinded and outcomes were self-assessed at baseline, at 6 weeks and at 12 weeks after registration. Primary outcomes were current depression and anxiety, assessed on the Patient Health Questionnaire (PHQ9) and Generalised Anxiety Disorder Scale (GAD7). Secondary outcome measures focused on alcohol use, disordered eating, and other outcomes.
Students at high risk were successfully identified using personality indicators and reported poorer mental health. A total of 520 students completed the 6-week follow-up and 401 students completed the 12-week follow-up. Attrition was high across intervention groups, but comparable to other web-based interventions. Mixed effects analyses revealed that at 12-week follow up the trait-focused intervention reduced depression scores by 3.58 (p<.001, 95%CI [5.19, 1.98]) and anxiety scores by 2.87 (p=.018, 95%CI [1.31, 4.43]) in students at high risk. In high-risk students, between group effect sizes were 0.58 (depression) and 0.42 (anxiety). In addition, self-esteem was improved. No changes were observed regarding the use of alcohol or disordered eating.
This study suggests that a transdiagnostic web-based intervention for university students targeting underlying personality risk factors may be a promising way of preventing common mental disorders with a low-intensity intervention.
ControlledTrials.com ISRCTN14342225.
很大一部分大学生表现出常见精神障碍的症状,如抑郁症、焦虑症、物质使用障碍和饮食失调。需要针对多种障碍潜在因素的新型干预措施。
评估一种以跨诊断特质为重点的基于网络的干预措施在减轻大学生常见精神障碍症状方面的疗效。
通过网络招募学生(n = 1047,年龄:M = 21.8,SD = 4.2),并根据他们的人格特质将其分为精神障碍高风险或低风险组。使用计算机化简单随机化将参与者分配到以认知行为特质为重点的干预组(n = 519)或对照组(n = 528)。两种干预措施均完全自动化并在线提供(试验注册号:ISRCTN14342225)。参与者被设盲,在基线、注册后6周和12周进行自我评估。主要结局指标为当前的抑郁和焦虑状况,通过患者健康问卷(PHQ9)和广泛性焦虑症量表(GAD7)进行评估。次要结局指标侧重于酒精使用、饮食失调和其他结局。
利用人格指标成功识别出高风险学生,他们报告的心理健康状况较差。共有520名学生完成了6周随访,401名学生完成了12周随访。各干预组的失访率都很高,但与其他基于网络的干预措施相当。混合效应分析显示,在12周随访时,以特质为重点的干预措施使高风险学生的抑郁得分降低了3.58(p <.001,95%CI [5.19, 1.98]),焦虑得分降低了2.87(p =.018,95%CI [1.31, 4.43])。在高风险学生中,组间效应大小在抑郁方面为0.58,在焦虑方面为0.42。此外,自尊得到了改善。在酒精使用或饮食失调方面未观察到变化。
本研究表明,针对大学生潜在人格风险因素的基于网络的跨诊断干预措施可能是一种通过低强度干预预防常见精神障碍的有前景的方法。
ControlledTrials.com ISRCTN14342225。