Edge Daniel, Watkins Edward R, Limond Jenny, Mugadza Jane
Mood Disorders Centre, School of Psychology, University of Exeter, United Kingdom.
Mood Disorders Centre, School of Psychology, University of Exeter, United Kingdom.
Behav Res Ther. 2023 May;164:104292. doi: 10.1016/j.brat.2023.104292. Epub 2023 Mar 22.
Anxiety and depression are highly prevalent mental disorders which are associated with a considerable personal and economic burden. As treatment alone has a minimal impact on prevalence, there is now a growing focus on interventions which may help prevent anxiety and depression. Internet and mobile based interventions have been identified as a useful avenue for the delivery of preventative programmes due to their scalability and accessibility. The efficacy of interventions that do not require additional support from a trained professional (self-guided) in this capacity is yet to be explored.
A systematic search was conducted on the Cochrane Library, PubMed, PsycARTICLES, PsycINFO, OVID, MEDline, PsycEXTRA and SCOPUS databases. Studies were selected according to defined inclusion and exclusion criteria. The primary outcome was evaluating the effect of self-guided internet and mobile based interventions on incidence of anxiety and depression. The secondary outcome was effect on symptom severity.
After identifying and removing duplicates, 3211 studies were screened, 32 of which were eligible for inclusion in the final analysis. Nine studies also reported incidence data (depression = 7, anxiety = 2). The overall Risk Ratios for incidence of anxiety and depression were 0.86 (95% CI [0.28, 2.66], p = .79) and 0.67 (95% CI [0.48, 0.93], p = .02) respectively. Analysis for 27 studies reporting severity of depressive symptoms revealed a significant posttreatment standardised mean difference of -0.27 (95% CI [ -0.37, -0.17], p < .001) for self-guided intervention groups relative to controls. A similar result was observed for 29 studies reporting severity of anxiety symptoms with a standardised mean difference of -0.21 (95% CI [-0.31, -0.10], p < .001).
Self-guided internet and mobile based interventions appear to be effective at preventing incidence of depression, though further examination of the data suggests that generalisability of this finding may be limited. While self-guided interventions also appear effective in reducing symptoms of anxiety and depression, their ability to prevent incidence of anxiety is less clear. A heavy reliance on symptom measures in the data analysed suggests future research could benefit from prioritising the use of standardised diagnostic measuring tools to assess incidence. Future systematic reviews should aim to include more data from grey literature and reduce the impact of study heterogeneity.
焦虑症和抑郁症是非常普遍的精神障碍,会带来相当大的个人和经济负担。由于仅靠治疗对患病率的影响微乎其微,现在人们越来越关注可能有助于预防焦虑症和抑郁症的干预措施。基于互联网和移动设备的干预措施因其可扩展性和可及性,已被视为实施预防计划的有效途径。这类无需专业人员额外支持(自我引导式)的干预措施的效果尚待研究。
在考克兰图书馆、PubMed、PsycARTICLES、PsycINFO、OVID、MEDline、PsycEXTRA和SCOPUS数据库中进行了系统检索。根据既定的纳入和排除标准选择研究。主要结果是评估自我引导式基于互联网和移动设备的干预措施对焦虑症和抑郁症发病率的影响。次要结果是对症状严重程度的影响。
在识别并去除重复项后,筛选了3211项研究,其中32项符合纳入最终分析的条件。9项研究还报告了发病率数据(抑郁症 = 7项,焦虑症 = 2项)。焦虑症和抑郁症发病率的总体风险比分别为0.86(95%可信区间[0.28, 2.66],p = 0.79)和0.67(95%可信区间[0.48, 0.93],p = 0.02)。对27项报告抑郁症状严重程度的研究进行分析发现,自我引导式干预组相对于对照组,治疗后标准化平均差为 -0.27(95%可信区间[-0.37, -0.17],p < 0.001)。对29项报告焦虑症状严重程度的研究也观察到了类似结果,标准化平均差为 -0.21(95%可信区间[-0.31, -0.10],p < 0.001)。
自我引导式基于互联网和移动设备的干预措施似乎在预防抑郁症发病率方面有效,不过对数据的进一步分析表明这一发现的普遍性可能有限。虽然自我引导式干预措施在减轻焦虑症和抑郁症症状方面似乎也有效,但其预防焦虑症发病率的能力尚不清楚。所分析数据中对症状测量的严重依赖表明,未来研究优先使用标准化诊断测量工具来评估发病率可能会有所助益。未来的系统评价应旨在纳入更多来自灰色文献的数据,并减少研究异质性的影响。