scholarly journals Third‐wave cognitive behaviour therapies for weight management: A systematic review and network meta‐analysis

2020 ◽  
Vol 21 (7) ◽  
Author(s):  
Emma R. Lawlor ◽  
Nazrul Islam ◽  
Sarah Bates ◽  
Simon J. Griffin ◽  
Andrew J. Hill ◽  
...  
BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e023425 ◽  
Author(s):  
Emma R Lawlor ◽  
Nazrul Islam ◽  
Simon J Griffin ◽  
Andrew J Hill ◽  
Carly A Hughes ◽  
...  

IntroductionBehavioural and cognitive behavioural programmes are commonly used to assist with weight management, but there is considerable scope to improve their effectiveness, particularly in the longer term. Third-wave cognitive behaviour therapies (CBTs) have this potential and are increasingly used. This systematic review will assess the effect of third-wave CBTs for weight management on weight, psychological and physical health outcomes in adults with overweight or obesity.Methods and analysisThe systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidance. We will include studies of any third-wave CBTs focusing on weight loss or weight maintenance for adults with a body mass index (BMI) ≥25kg/m2. Eligible study designs will be randomised control trials, non-randomised trials, prospective cohort and case series. Outcomes of interest will be body weight/BMI, psychological and physical health, and adherence. We will search the following databases from inception to 16 January 2018: MEDLINE, CINAHL, Embase, Cochrane database (CENTRAL), PsycINFO, AMED, ASSIA and Web of Science. The search strategy will be based on the concepts: (1) third-wave CBTs and (2) overweight, obesity or weight management. No restrictions will be applied. We will search reference lists of relevant reviews and included articles. Two independent reviewers will screen articles for eligibility using a two-stage process. Two independent reviewers will extract data, assess risk of bias using Risk of Bias 2.0, Risk of Bias in Non-randomised studies of Interventions or Risk of Bias in Non-randomised Studies of Exposures checklist and assess quality using the Grading of Recommendations Assessment, Development and Evaluation tool. A random-effects network meta-analysis of outcomes, and sub-group analyses and meta-regression will be conducted, where data permit. If not appropriate, a narrative synthesis will be undertaken.Ethics and disseminationEthical approval is not required as no primary data will be collected. The completed systematic review will be disseminated in a peer-reviewed journal, presented at conferences and used to inform the development of a weight management programme.PROSPERO registration numberCRD42018088255.


Author(s):  
Parisa Amiri ◽  
Mohammad Masih Mansouri-Tehrani ◽  
Ahmad Khalili-Chelik ◽  
Mehrdad Karimi ◽  
Sara Jalali-Farahani ◽  
...  

2016 ◽  
Vol 44 (6) ◽  
pp. 673-690 ◽  
Author(s):  
Philip Andersen ◽  
Paul Toner ◽  
Martin Bland ◽  
Dean McMillan

Background: Transdiagnostic Cognitive Behaviour Therapy (CBT) seeks to identify core cognitive-behavioural processes hypothesized to be important across a range of disorders and to develop a treatment that targets these. This contrasts with standard CBT approaches that are disorder-specific. Proponents of transdiagnostic CBT suggest that it may offer advantages over disorder-specific CBT, but little is known about the effectiveness of this approach. Aims: The review aimed to summarize trial-based clinical and cost-effectiveness data on transdiagnostic CBT for anxiety and depression. Method: A systematic review of electronic databases, including peer-reviewed and grey literature sources, was conducted (n = 1167 unique citations). Results: Eight trials were eligible for inclusion in the review. There was evidence of an effect for transdiagnostic CBT when compared to a control condition. There were no differences between transdiagnostic CBT and active treatments in two studies. We found no evidence of cost-effectiveness data. Conclusions: Quality assessment of the primary studies indicated a number of methodological concerns that may serve to inflate the observed effects of transdiagnostic approaches. Although there are positive signs of the value of transdiagnostic CBT, there is as yet insufficient evidence to recommend its use in place of disorder-specific CBT.


2021 ◽  
Author(s):  
Siew Min Ang ◽  
Juliana Chen ◽  
Jolyn Johal ◽  
Jia Huan Liew ◽  
Yock Young Dan ◽  
...  

BACKGROUND Smartphone applications (apps) have shown potential in enhancing weight management in the Western population in the short to medium term. With a rapidly growing obesity burden in the Asian populations, researchers are turning to apps as a service delivery platform to reach a greater target audience to efficiently tackle the problem. OBJECTIVE This systematic review and meta-analysis aimed to determine the efficacy of interventions incorporating apps in facilitating weight loss and health behavior change in the Asian population. METHODS Six databases were searched in June 2020. Eligible studies were controlled trials utilizing an app in the intervention in participants aged 18 years or above and from an Asian ethnicity. A meta-analysis to test intervention efficacy, subgroup analyses and post-hoc analyses were conducted to determine the effects of adding app to usual care and study duration. The primary outcome was absolute or percentage weight change while secondary outcomes were changes to lifestyle behaviors. RESULTS A total of 21 studies were included in this review and 17 were selected for the meta-analysis. The pooled effect size across 14 randomized controlled trials for weight change was small to moderate (Hedges’ g = -0.28, 95% CI = -0.44 to -0.12) however, this was not representative of long-term studies (more than a year). Stand-alone app interventions were inefficacious for weight loss but supplementing multi-component usual care with an app led to statistically significant weight change (Hedges’ g = -0.25 95% CI = -0.43 to -0.07). Asian apps were largely culturally adapted and multi-functional, with the most common app features being communication with health professionals and self-monitoring of behaviors and outcomes. CONCLUSIONS More evidence is required to determine the efficacy of apps in the long term and address app non-usage to maximize the potential of the intervention. Future research should determine the efficacy of each component of the multi-component intervention to facilitate study designs that are most effective and cost-efficient for weight management. CLINICALTRIAL PROSPERO REGISTRATION: CRD42020165240.


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