@Article{信息:doi 10.2196 / / jmir。4351，作者=“H{\o}if{\o}dt, Ragnhild S{\o}rensen和Mittner, Matthias和Lillevoll, Kjersti和Katla, Susanne Kvam和Kolstrup, Nils和Eisemann, Martin和Friborg, Oddgeir和Waterloo, Knut”，标题=“基于web的认知行为治疗与高强度面对面治疗师指导抑郁症的反应预测因素:贝叶斯分析”，期刊=“J Med Internet Res”，年=“2015”，月=“Sep”，日=“02”，量=“17”，数=“9”，页=“e197”，关键词=“治疗结果;计算机辅助治疗;认知行为疗法;抑郁症;初级保健;背景:一些研究已经证明了基于互联网的认知行为疗法(ICBT)对抑郁症的影响。然而，ICBT并不适用于所有抑郁症患者，而且有相当程度的无反应。对ICBT预后的预测因子和调节因子的研究尚无定论。目的:本论文探讨了在有轻度至中度抑郁症状的初级保健患者样本中，结合基于网络的项目MoodGYM和面对面治疗师指导的干预反应的预测因素。 Methods: Participants (N=106) aged between 18 and 65 years were recruited from primary care and randomly allocated to a treatment condition or to a delayed treatment condition. The intervention included the Norwegian version of the MoodGYM program, face-to-face guidance from a psychologist, and reminder emails. In this paper, data from the treatment phase of the 2 groups was merged to increase the sample size (n=82). Outcome was improvement in depressive symptoms during treatment as assessed with the Beck Depression Inventory-II (BDI-II). Predictors included demographic variables, severity variables (eg, number of depressive episodes and pretreatment depression and anxiety severity), cognitive variables (eg, dysfunctional thinking), module completion, and treatment expectancy and motivation. Using Bayesian analysis, predictors of response were explored with a latent-class approach and by analyzing whether predictors affected the slope of response. Results: A 2-class model distinguished well between responders (74{\%}, 61/82) and nonresponders (26{\%}, 21/82). Our results indicate that having had more depressive episodes, being married or cohabiting, and scoring higher on a measure of life satisfaction had high odds for positively affecting the probability of response. Higher levels of dysfunctional thinking had high odds for a negative effect on the probability of responding. Prediction of the slope of response yielded largely similar results. Bayes factors indicated substantial evidence that being married or cohabiting predicted a more positive treatment response. The effects of life satisfaction and number of depressive episodes were more uncertain. There was substantial evidence that several variables were unrelated to treatment response, including gender, age, and pretreatment symptoms of depression and anxiety. Conclusions: Treatment response to ICBT with face-to-face guidance may be comparable across varying levels of depressive severity and irrespective of the presence and severity of comorbid anxiety. Being married or cohabiting, reporting higher life satisfaction, and having had more depressive episodes may predict a more favorable response, whereas higher levels of dysfunctional thinking may be a predictor of poorer response. More studies exploring predictors and moderators of Internet-based treatments are needed to inform for whom this treatment is most effective. Trial Registration: Australian New Zealand Clinical Trials Registry number: ACTRN12610000257066; https://www.anzctr.org.au/trial{\_}view.aspx?id=335255 (Archived by WebCite at http://www.webcitation.org/6GR48iZH4). ", issn="1438-8871", doi="10.2196/jmir.4351", url="//www.mybigtv.com/2015/9/e197/", url="https://doi.org/10.2196/jmir.4351", url="http://www.ncbi.nlm.nih.gov/pubmed/26333818" }