Dismantling behavioural weight management interventions: component network meta-analysis of randomised controlled trials and real-world services

作者：Nishant Jaiswal, Rebecca Gregg, Neil Hawkins, Sahar Sharif, Alison Avenell, Louisa Ells, Sandra Jayacodi, Ruth M. Mackenzie, Sharon Simpson, Olívia Wu, Jennifer Logue · 发表于：Health Technology Assessment · 年份：2025 · DOI：10.3310/gjjl0630 · 被引用次数：2 · 研究领域：Mental Health Research Topics、Physical Activity and Health、Meta-analysis and systematic reviews

Background: Behavioural weight management interventions are complex interventions having several coexisting components designed to facilitate weight loss. Existing evidence has shown behavioural weight management interventions to be effective; however, the magnitude of weight loss varies among programmes. There is value in understanding whether differences in the intervention components influence the overall effectiveness of the interventions. The current study is the first attempt to explore the effects of individual components of interventions using data from both randomised controlled trials and real-world services based in the United Kingdom. Objective: To deconstruct behavioural weight management interventions into constituent components and identify the effectiveness of individual components for weight loss. Design: A component network meta-analysis of data from randomised controlled trials and real-world services. Setting: Real-world services and randomised controlled trials based in the United Kingdom for weight management in adults. Participants: = 4051). Main outcome measure: Mean change in weight after 12 weeks of active weight loss sessions. Methods: Bayesian two-staged component network meta-analysis using an additive model. Results: In the analysis of randomised controlled trials, significant weight loss was associated with components tailoring (mean difference -5.54 kg; 95% credible interval -7.72 to -3.35), flexibility in attendance (mean difference -3.18 kg; ...