This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1449) Ecological Momentary Assessment (EMA) (376) Machine Learning (1934)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41513, first published .
Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder

Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder

Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder

Authors of this article:

Ann-Kathrin Arend1 Author Orcid Image ;   Tim Kaiser2 Author Orcid Image ;   Björn Pannicke1 Author Orcid Image ;   Julia Reichenberger1 Author Orcid Image ;   Silke Naab3 Author Orcid Image ;   Ulrich Voderholzer3, 4, 5 Author Orcid Image ;   Jens Blechert1 Author Orcid Image
Article Authors Cited by (16) Tweetations (10) Metrics

Journals

  1. Peschel S, Fürtjes S, Voss C, Sigrist C, Berwanger J, Ollmann T, Kische H, Rückert F, Koenig J, Beesdo-Baum K. Temporal associations between experiential avoidance and disordered eating behaviors in adolescents and young adults: findings from an epidemiological cohort study with ecological momentary assessment. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2023;28(1) View
  2. Eichin K, Georgii C, Schnepper R, Voderholzer U, Blechert J. Emotional food‐cue‐reactivity in anorexia nervosa and bulimia nervosa: An electroencephalography study. International Journal of Eating Disorders 2023;56(11):2096 View
  3. Schneidergruber T, Blechert J, Arzt S, Pannicke B, Reichenberger J, Arend A, Ginzinger S. Predicting food craving in everyday life through smartphone-derived sensor and usage data. Frontiers in Digital Health 2023;5 View
  4. Schnepper R, Blechert J, Arend A, Yanagida T, Reichenberger J. Emotional eating: elusive or evident? Integrating laboratory, psychometric and daily life measures. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2023;28(1) View
  5. Leenaerts N, Soyster P, Ceccarini J, Sunaert S, Fisher A, Vrieze E. Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder. Psychological Medicine 2024;54(10):2758 View
  6. Arend A, Blechert J, Yanagida T, Voderholzer U, Reichenberger J. Emotional food craving across the eating disorder spectrum: an ecological momentary assessment study. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2024;29(1) View
  7. Billman Miller M, Gioia A, Frietchen R, Grunewald W, Bodell L, Smith A. Meaningful Associations Between Motivation for Treatment and Interpersonal Needs Within a Residential Sample of Women With Eating Disorders. International Journal of Eating Disorders 2024;57(12):2380 View
  8. Colton E, Mahlberg J, Chong T, Verdejo-Garcia A. Food choice motives mediate the relationship between delay discounting and binge eating: A structural equation modelling approach. Appetite 2025;206:107834 View
  9. Kovács D, Vikoler T, Traut-Mattausch E. The crafting for stress management coaching (CSMC) program. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) 2025;56(1):155 View
  10. Hagan K, Leenaerts N, Walsh B, Ranzenhofer L. Applying machine learning to ecological momentary assessment data to identify predictors of loss-of-control eating and overeating severity in adolescents: A preliminary investigation. Appetite 2025;207:107900 View
  11. Kuipers E, Timmerman J, van Det M, Vollenbroek-Hutten M. Feasibility and Links Between Emotions, Physical States, and Eating Behavior in Patients After Metabolic Bariatric Surgery: Experience Sampling Study. JMIR Formative Research 2025;9:e60486 View
  12. Dammas S, Weyde T, Tapper K, Spanakis G, Roefs A, Pothos E. Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Based Study. JMIR Medical Informatics 2025;13:e57530 View
  13. Bryant E, Marks P, Griffiths K, Boulet S, Pehlivan M, Barakat S, Touyz S, Maguire S. Treating the individual: moving towards personalised eating disorder care. Journal of Eating Disorders 2025;13(1) View
  14. Kruger M, Liu J, Graver H, Manasse S, Velkoff E. Ecological momentary interventions for eating disorders: a systematic review of the nascent science and recommendations for future research. Journal of Eating Disorders 2025;13(1) View
  15. McClure Z, Fuller-Tyszkiewicz M, Messer M, Linardon J. Machine-Learning Applications in Eating-Disorder-Outcome Prediction: A Systematic Scoping Review. Clinical Psychological Science 2025 View

Conference Proceedings

  1. Santoso K, Maharani M, Sidharta S. 2024 International Conference on Information Management and Technology (ICIMTech). Identifying Abnormal Eating Behavior Patterns with Machine Learning for Early Detection of Eating Disorders: A Systematic Literature Review View