scholarly journals Symptom-specific effects of cognitive therapy and behavior therapy for insomnia: A network intervention analysis.

Author(s):  
Tessa F. Blanken ◽  
Markus Jansson-Fröjmark ◽  
Rikard Sunnhed ◽  
Jaap Lancee
2022 ◽  
pp. 1-13
Author(s):  
Mengfei Ye ◽  
Mengna Shou ◽  
Jian Zhang ◽  
Baiqi Hu ◽  
Chunyan Liu ◽  
...  

Abstract Background T long-term effects of cognitive therapy and behavior therapy (CTBT) for menopausal symptoms are unknown, and whether the effects are different between natural menopause and treatment-induced menopause are currently unclear. Therefore, we sought to conduct an accurate estimate of the efficacy of CTBT for menopausal symptoms. Methods We conducted searches of Cochrane Library, EMBASE, PsycINFO, PubMed, and Web of Science databases for studies from 1 January 1977 to 1 November 2021. Randomized controlled trials (RCTs) comparing intervention groups to control groups for menopausal symptoms were included. Hedge's g was used as the standardized between-group effect size with a random-effects model. Results We included 14 RCTs comprising 1618 patients with a mean sample size of 116. CTBT significantly outperformed control groups in terms of reducing hot flushes [g = 0.39, 95% confidence interval (CI) 0.23–0.55, I2 = 45], night sweats, depression (g = 0.50, 95% CI 0.34–0.66, I2 = 51), anxiety (g = 0.38, 95% CI 0.23–0.54, I2 = 49), fatigue, and quality of life. Egger's test indicated no publication bias. Conclusions CTBT is an effective psychological treatment for menopausal symptoms, with predominantly small to moderate effects. The efficacy is sustained long-term, although it declines somewhat over time. The efficacy was stronger for natural menopause symptoms, such as vasomotor symptoms, than for treatment-induced menopause symptoms. These findings provide support for treatment guidelines recommending CTBT as a treatment option for menopausal symptoms.


SLEEP ◽  
2019 ◽  
Vol 43 (2) ◽  
Author(s):  
Rikard Sunnhed ◽  
Hugo Hesser ◽  
Gerhard Andersson ◽  
Per Carlbring ◽  
Charles M Morin ◽  
...  

Abstract Study Objectives Our aim was to compare the effects of Internet-delivered cognitive therapy (CT) and behavior therapy (BT) against a waitlist (WL) condition to better understand their unique contribution in the treatment of insomnia. Methods Two hundred and nineteen participants with insomnia disorder were randomized to CT (n = 72), BT (n = 73), or WL (n = 74). The treatment arms consisted of 10 weekly internet-delivered modules with 15 min of telephone support per week. At pre, post, and follow-up, participants completed measures of insomnia severity, sleep diaries, functional impairment, anxiety, depression, quality of life, adverse events, satisfaction and perception of content, workload, and activity in treatment. Measures of completed exercises, modules, therapist support, and platform logins were also measured at posttreatment. Results Moderate to large effect sizes for both CT and BT outperformed the WL on the majority of outcomes, with significant differences in favor of both therapy groups. Both treatment groups had significantly larger proportion of treatment remitters (CT: 35.8%, BT: 40%, WL: 2.7%) and responders (CT: 74.6%, BT 58.6%, WL: 10.8%) compared to the WL at posttreatment. There were no significant differences between the two therapy groups in terms of outcomes, except for sleep onset latency in favor of BT (6 min difference at posttreatment) and adverse events in favor of CT (CT 14.1% vs BT 43.2%). Conclusions This study indicates that both Internet-delivered CT and BT are effective as stand-alone therapies for insomnia disorder. Results highlight the need for examining which therapy and subcomponents that are necessary for change. ClinicalTrials.gov Identifier NCT02984670


Pain ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
John W. Burns ◽  
Mark P. Jensen ◽  
Beverly E. Thorn ◽  
Teresa A. Lillis ◽  
James Carmody ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Tim Kaiser ◽  
Lynn Boschloo ◽  
Thomas Berger ◽  
Björn Meyer ◽  
Christina Späth-Nellissen ◽  
...  

Background: Depression is a highly prevalent mental disorder, but only a fraction of those affected receive evidence-based treatments. Recently, Internet-based interventions were introduced as an efficacious and cost-effective approach. However, even though depression is a heterogenous construct, effects of treatments have mostly been determined using aggregated symptom scores. This carries the risk of concealing important effects and working mechanisms of those treatments.Methods: In this study, we analyze outcome and long-term follow-up data from the EVIDENT study, a large (N = 1,013) randomized-controlled trial comparing an Internet intervention for depression (Deprexis) with care as usual. We use Network Intervention Analysis to examine the symptom-specific effects of the intervention. Using data from intermediary and long-term assessments that have been conducted over 36 months, we intend to reveal how the treatment effects unfold sequentially and are maintained.Results: Item-level analysis showed that scale-level effects can be explained by small item-level effects on most depressive symptoms at all points of assessment. Higher scores on these items at baseline predicted overall symptom reduction throughout the whole assessment period. Network intervention analysis offered insights into potential working mechanisms: while deprexis directly affected certain symptoms of depression (e.g., worthlessness and fatigue) and certain aspects of the quality of life (e.g., overall impairment through emotional problems), other domains were affected indirectly (e.g., depressed mood and concentration as well as activity level). The configuration of direct and indirect effects replicates previous findings from another study examining the same intervention.Conclusions: Internet interventions for depression are not only effective in the short term, but also exert long-term effects. Their effects are likely to affect only a small subset of problems. Patients reporting these problems are likely to benefit more from the intervention. Future studies on online interventions should examine symptom-specific effects as they potentially reveal the potential of treatment tailoring.Clinical Trial Registration:ClinicalTrials.gov, Identifier: NCT02178631.


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