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Targeted prevention of common mental health disorders in university students:randomised controlled trial of a transdiagnostic trait-focused web-based intervention

机译:针对大学生常见心理健康障碍的有针对性的预防:以转诊特征为基础的网络干预的随机对照试验

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摘要

BackgroundA 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.AimsTo evaluate the efficacy of a transdiagnostic trait-focused web-based intervention aimed at reducing symptoms of common mental disorders in university students.MethodStudents 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.ResultsStudents 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.ConclusionsThis 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.
机译:背景大部分大学生表现出常见的精神障碍症状,例如抑郁,焦虑,药物滥用和饮食失调。目的针对以多种疾病为基础的网络干预,以减少大学生常见精神障碍的症状为基础,以网络诊断为基础,旨在评估以转诊特征为基础的网络干预的有效性。方法研究是在网上招募的(n = 1047,年龄:M = 21.8,SD = 4.2),并根据其人格特征将其分为精神疾病的高风险或低风险。使用计算机化的简单随机分组将参与者分配到以认知行为特征为重点(n = 519)或对照干预(n = 528)上。两种干预都是完全自动化的,并在线提供(试用注册:ISRCTN14342225)。参与者不知情,并且在注册后的基线,第6周和第12周对结果进行自我评估。主要结果是当前的抑郁和焦虑,通过患者健康问卷(PHQ9)和广义焦虑症量表(GAD7)进行评估。次要结局指标集中在饮酒,饮食失调和其他结局上。结果使用人格指标成功识别了高危学生,并报告了他们的心理健康状况较差。共有520名学生完成了为期6周的随访,有401名学生完成了12周的随访。干预组的人员流失率很高,但可与其他基于网络的干预相比。混合效应分析显示,在12周的随访中,以特质为中心的干预措施使抑郁评分降低了3.58(p <.001,95%CI [5.19,1.98]),焦虑评分降低了2.87(p = .018,95%CI [1.31、4.43])处于高风险的学生中。在高危学生中,小组效应的大小分别为0.58(抑郁)和0.42(焦虑)。此外,自尊心得到了改善。结论这项研究表明,针对大学生潜在的人格危险因素的基于网络诊断的大学生转诊可以通过低强度干预来预防常见的精神障碍。

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