Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Binge Eating Disorders01:23

Binge Eating Disorders

173
Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...
173
Bulimia Nervosa01:30

Bulimia Nervosa

195
Bulimia nervosa is a complex and severe eating disorder characterized by a cyclical pattern of binge-and-purge eating pattern. It generally involves an episode of binge eating, followed by compensatory behaviors such as vomiting, excessive exercise, laxative use, or fasting, to prevent weight gain. Despite often maintaining a normal weight, individuals with bulimia are intensely preoccupied with their body image and harbor an overwhelming fear of gaining weight. This can contribute to the...
195
Regulation of Food Intake01:30

Regulation of Food Intake

472
Short-term regulation of food intake primarily involves neural signals from the gastrointestinal (GI) tract, blood nutrient levels, and GI tract hormones. Communication between the gut and brain via vagal nerve fibers plays a significant role in evaluating the contents of the gut. Clinical studies have shown that protein ingestion produces a more prolonged response in these nerve fibers compared to an equivalent amount of glucose. Additionally, the activation of stretch receptors caused by GI...
472
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

162
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
162

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Feasibility, Acceptability, and Impact of the Couples Crisis Response Plan (CCRP) to Reduce Post-Discharge Suicide Risk: A Randomized Controlled Trial.

Suicide & life-threatening behavior·2026
Same author

Protocol for Nuestro Sueño: A randomized trial of a couples-based intervention to improve PAP adherence and sleep health among Hispanic patients beginning positive airway pressure (PAP) and their partners.

Sleep medicine·2026
Same author

Are there perils of partialing marital conflict behaviors? Comparisons of interpersonal correlates.

Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43)·2026
Same author

Testing the Daily Bidirectional Relationships Between Stress and Sleep Using Bivariate Multilevel Autoregressive Modeling.

Biopsychosocial science and medicine·2025
Same author

Feasibility and preliminary efficacy results for WePAP: A transdiagnostic, couples-based intervention to promote positive airway pressure adherence and patient and partner sleep health.

Sleep health·2025
Same author

Brief Cognitive Behavioral Therapy for Suicidal Military Personnel and Veterans: The Military Suicide Prevention Intervention Research (MSPIRE) Randomized Clinical Trial.

JAMA psychiatry·2025
Same journal

Unique Challenges of Multidisciplinary Clinical Science: Perspectives from a Multidisciplinary Team.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same journal

Applying Artificial Intelligence to Expand the Measurement Tool Kit in Clinical-Psychological Science: Moving Beyond Self-Reports.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same journal

Revisiting 'environmental effects': Directions for multidisciplinary investigations of air quality and psychopathology.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same journal

Do Internalizing Syndromes have Incremental Validity for External Criteria Above and Beyond Each Other?

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same journal

Multimodal assessments of therapist characteristics are largely unrelated to patient outcomes: A preregistered analysis.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same journal

Emotion-Processing Biases and Neural Connectivity in Remitted Major Depressive Disorder among Adolescents.

Clinical psychological science : a journal of the Association for Psychological Science·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

Author Spotlight: Accessible M&M-Based Mouse Model for Investigating Binge Eating Disorder - Insights into Eating Behaviors, Anxiety, and Neural Mechanisms
05:15

Author Spotlight: Accessible M&M-Based Mouse Model for Investigating Binge Eating Disorder - Insights into Eating Behaviors, Anxiety, and Neural Mechanisms

Published on: January 10, 2025

1.1K

Relationship Between Intensive Passive Data Signals and Patterns of Binge-Eating Behaviors: From a Dynamical-System

Qinxin Shi1,2, Laura M Thornton3, Robyn Kilshaw1

  • 1Department of Psychology, University of Utah.

Clinical Psychological Science : a Journal of the Association for Psychological Science
|August 1, 2025
PubMed
Summary
This summary is machine-generated.

Passive data from wearables can help detect binge-eating episodes in bulimia nervosa (BN) and binge-eating disorder (BED). Stability in step patterns, not averages, may indicate an approaching binge.

Keywords:
binge-eating disorder (BED)bulimia nervosa (BN)dynamic-system modeljust-in-time adaptive interventions (JITAIs)passive sensing data

More Related Videos

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

5.8K
Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.1K

Related Experiment Videos

Last Updated: Sep 13, 2025

Author Spotlight: Accessible M&M-Based Mouse Model for Investigating Binge Eating Disorder - Insights into Eating Behaviors, Anxiety, and Neural Mechanisms
05:15

Author Spotlight: Accessible M&M-Based Mouse Model for Investigating Binge Eating Disorder - Insights into Eating Behaviors, Anxiety, and Neural Mechanisms

Published on: January 10, 2025

1.1K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

5.8K
Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.1K

Area of Science:

  • Digital Health
  • Eating Disorders Research
  • Behavioral Science

Background:

  • Binge-type eating disorders, including bulimia nervosa (BN) and binge-eating disorder (BED), pose significant health challenges.
  • Current methods for monitoring binge-eating episodes often rely on self-reporting, which can be inaccurate.
  • Integrating technology into healthcare offers new avenues for objective data collection.

Purpose of the Study:

  • To investigate the utility of passive data (heart rate, actigraphy) for identifying binge-eating episodes.
  • To explore the application of dynamical-system theory to passive health data in individuals with BN or BED.
  • To determine if passive data patterns can serve as early indicators of binge events.

Main Methods:

  • Utilized dynamical-system theory and technology-based health monitoring.
  • Collected real-time eating behavior data via the Recovery Record app.
  • Gathered passive data, including heart rate and actigraphy, using Apple Watches from 1,019 participants over 30 days.

Main Results:

  • No significant differences were found in average heart rate or step counts 2 hours before a binge compared to control periods.
  • Significant differences in momentum and stability were observed in the dynamics leading up to a binge event.
  • Step pattern stability, rather than average step count, emerged as a potential detectable indicator of impending binge episodes.

Conclusions:

  • Passive actigraphy data, specifically step pattern stability, shows promise as a non-invasive indicator for detecting approaching binge-eating episodes.
  • Dynamical-system analysis of wearable data may enhance early detection and intervention for BN and BED.
  • Future research should focus on refining these passive data metrics for clinical application in eating disorder management.