Unpacking weight management interventions measuring eating disorder risk in adults: coding of components of interventions in a systematic review

INTRODUCTION: Adult weight management interventions are complex; better understanding of the intervention components that may impact eating disorder (ED) risk is required. METHODS: Weight management randomized controlled trials (RCTs) for adults with overweight/obesity that measured ED risk were systematically searched in four databases and two trial registries. A project-specific codebook was used to code 84 delivery features and 89 intervention strategies of trials. Individual strategies were grouped into 20 clusters which were further grouped into five broad categories. Trial investigators verified coding and narrative synthesis using descriptive statistics of findings was reported. RESULTS: Of 14,880 identified, 58 eligible trials were coded, of which 26 trials with 64 intervention arms were verified and therefore included. Intervention arms included a mean (SD) of 24 (11) intervention strategies. Commonly used intervention strategy clusters were nutrition education (91%), dietary behavior change strategies (84%), physical activity education (81%), and dietary self-monitoring (80%). Few interventions used strategies in the category of psychological components (13-41%). The median (range) intervention duration was 27 (4-104) weeks, and contacts with participants typically included a staged approach of weekly to monthly contact. CONCLUSION: Adult weight management interventions are multifactorial with varying delivery features and intervention strategies. Despite this, psychological (e.g. weight stigma) and sleep-health related strategies are either rarely used or are underreported. Breaking down intervention components using our framework can help identify which strategies influence outcomes, including eating disorder risk, and inform the design and reporting of future interventions. Some adults seeking weight management for obesity may have an eating disorder or disordered eating behaviors. Research shows most people who take part in behavioral weight management programs have an improvement in eating disorder symptoms, however a small number may experience worsening symptoms. In this study, we break down behavioral weight management programs that measure eating disorder risk to better understand the features they use. We found that these programs vary widely in the number and type of strategies they use, as well as in how they are delivered, such as the length of the program. Strategies that focus on psychological factors (for example, addressing weight stigma) and sleep health were rarely used or reported. These findings are useful in guiding the design and reporting of future behavioral weight management programs. They can also be used in future research to determine which specific program features improve or worsen outcomes such as eating disorder risk.

Authors

Institutions

Publication Details

Journal
Journal of Eating Disorders
Published
2026-06-17
DOI
https://doi.org/10.1186/s40337-026-01667-x
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking weight management interventions measuring eating disorder risk in adults: coding of components of interventions in a systematic review

Rachel D. Barnes, Kristine Beaulieu, Natalie B. Lister, Rabia Khalid et al.
Journal of Eating Disorders
Eating Disorders and Behaviors
article

Unpacking weight management interventions measuring eating disorder risk in adults: coding of components of interventions in a systematic review

Rachel D. Barnes, Kristine Beaulieu, Natalie B. Lister, Rabia Khalid, Denise E. Wilfley, Elizabeth Rieger, Fiona Quigley, Molly Robbins, Theodore K. Kyle, Hoi Lun Cheng, Kelly Cooper, Vera De Salvo, Alicia Grunseit, Brittany J. Johnson, Hannah Melville, Nancy E. Sherwood, Kerri N. Boutelle, Victoria Whitelock, Isabelle R. Jardine, Faith Anne N. Heeren, Katrijn Houben, Dawn M. Eichen, Kristin M. von Ranson, Hiba Jebeile, Genevieve Dammery, Aviva H. Ariel-Donges, Evelyn Smith, Kelly M. Carpenter, D. P. Nicholls, Jayanthi Raman, Marcelo Demarzo, Samantha Pryde, Susan J. Paxton, Kylie E. Hunter, Anna L. Seidler, Krista A. Varady, Riccardo Dalle Grave, Hollie A. Raynor, Amy L. Ahern, Rebecca A. Jones, Sharon A. Simpson, Corby K. Martin, Janell L. Mensinger, Erin L. Glynn, Louise A. Baur, Eric Robinson, Sarah P. Garnett, Caroline Braet, Sarah Maguire, Amanda Sainsbury, Milan K. Piya, Simona Calugi, Andrew J. Hill, Rachael W. Taylor, Katharine Steinbeck
article en

Abstract

INTRODUCTION: Adult weight management interventions are complex; better understanding of the intervention components that may impact eating disorder (ED) risk is required. METHODS: Weight management randomized controlled trials (RCTs) for adults with overweight/obesity that measured ED risk were systematically searched in four databases and two trial registries. A project-specific codebook was used to code 84 delivery features and 89 intervention strategies of trials. Individual strategies were grouped into 20 clusters which were further grouped into five broad categories. Trial investigators verified coding and narrative synthesis using descriptive statistics of findings was reported. RESULTS: Of 14,880 identified, 58 eligible trials were coded, of which 26 trials with 64 intervention arms were verified and therefore included. Intervention arms included a mean (SD) of 24 (11) intervention strategies. Commonly used intervention strategy clusters were nutrition education (91%), dietary behavior change strategies (84%), physical activity education (81%), and dietary self-monitoring (80%). Few interventions used strategies in the category of psychological components (13-41%). The median (range) intervention duration was 27 (4-104) weeks, and contacts with participants typically included a staged approach of weekly to monthly contact. CONCLUSION: Adult weight management interventions are multifactorial with varying delivery features and intervention strategies. Despite this, psychological (e.g. weight stigma) and sleep-health related strategies are either rarely used or are underreported. Breaking down intervention components using our framework can help identify which strategies influence outcomes, including eating disorder risk, and inform the design and reporting of future interventions. Some adults seeking weight management for obesity may have an eating disorder or disordered eating behaviors. Research shows most people who take part in behavioral weight management programs have an improvement in eating disorder symptoms, however a small number may experience worsening symptoms. In this study, we break down behavioral weight management programs that measure eating disorder risk to better understand the features they use. We found that these programs vary widely in the number and type of strategies they use, as well as in how they are delivered, such as the length of the program. Strategies that focus on psychological factors (for example, addressing weight stigma) and sleep health were rarely used or reported. These findings are useful in guiding the design and reporting of future behavioral weight management programs. They can also be used in future research to determine which specific program features improve or worsen outcomes such as eating disorder risk.

Journal of Eating Disorders
Pennington Biomedical Research Center (US), Australian National University (AU), Camden and Campbelltown Hospitals (AU), The University of Sydney (AU), University of Minnesota (US), University of Leeds (GB), Steno Diabetes Centers (DK), University of Ulster (GB), University of Liverpool (GB), University of Calgary (CA), Flinders University (AU), The University of Western Australia (AU), La Trobe University (AU), Nova Southeastern University (US), Washington University in St. Louis (US), Wilmington University (US), University of Cambridge (GB), Cancer Research UK (GB), Children's Hospital at Westmead (AU), Copenhagen University Hospital (DK), Ghent University (BE), National Institute for Health and Care Excellence (GB), Maastricht University (NL), National Institute for Health and Care Research (GB), University of California San Diego (US), University of Illinois Chicago (US), Chief Scientist Office (GB), Casa di Cura Villa Garda (IT), WellSpan Health (US), Haines Lundberg and Waehler (US), Utah Department of Health (US), Issues Research (US), University of Minnesota Medical Center (US), Coatings Research Institute (BE), MRC Epidemiology Unit (GB), National Health and Medical Research Council (AU), University of Rostock (DE), Wake Forest University (US), Imperial College London (GB), Western Sydney University (AU), University of Tennessee at Knoxville (US), University of Newcastle Australia (AU), University of Otago (NZ), Universidade Federal de São Paulo (BR)
National Health and Medical Research Council
Zero hunger
Openalex Percentile: Top 5%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.