The Effect of a ChatGPT-Supported Online Group-Guided Self-Help Program on Uncontrolled and Emotional Eating Behaviors and Body Image in Overweight and Obese Woman Nurses
ChatGPT-Supported Online Group-Guided Self-Help Program
1 other identifier
interventional
44
1 country
1
Brief Summary
Nurses with overweight and female gender characteristics often experience disruptions in their eating behaviors due to stressful working conditions. These disruptions can lead to physical and psychosocial problems (Nicholls et al., 2017). Studies have shown that guided self-help programs, based on cognitive behavioral therapy interventions, are effective in addressing uncontrolled and emotional eating behaviors (Carrard et al., 2011; Cachelin et al., 2015). However, the use of supportive tools to assist the facilitator in group-based interventions of these evidence-based self-help programs and their impact on individual recovery processes remain unexplored. Additionally, no studies have been found investigating the application of these AI-supported guided self-help programs among female nurses, who are frequently exposed to stress and at high risk of obesity. Given the demanding workloads of nurses, cost-effective and easily accessible online programs have been found to promote recovery (Jenkins et al., 2021). Therefore, it is essential to test this AI-supported program in an online group format with overweight and obese woman nurses. The aim of this study is to evaluate the effect of a ChatGPT-supported online group-guided self-help program on uncontrolled and emotional eating behaviors and body image in overweight and obese woman nurses through a randomized controlled trial. Participants will be recruited via an announcement shared on social media platforms (Instagram). Nurses who respond to the announcement will be asked to complete a survey through Google Forms. Those randomly assigned to the intervention group will participate in online group sessions conducted via Google Meets. Pre- and post-test data will be collected using Google Forms.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 18, 2024
CompletedFirst Posted
Study publicly available on registry
October 22, 2024
CompletedStudy Start
First participant enrolled
November 2, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2025
CompletedJanuary 6, 2026
January 1, 2026
5 months
October 18, 2024
January 4, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Dutch Eating Behavior Questionnaire (DEBQ)
The Dutch Eating Behavior Questionnaire (DEBQ) was developed by Van Strien, Frijters, Jan, Bergers, and Defares (1986) to measure emotional, external, and restrained eating behaviors. The questionnaire consists of 33 items divided into three subscales: Restrained Eating (10 items) - Example: "Do you deliberately eat foods that are slimming?" Emotional Eating (13 items) - Example: "Do you have a desire to eat when someone upsets you?" External Eating (10 items) - Example: "Do you feel like eating when you pass by a café or snack bar?" Each item is rated on a 5-point Likert scale (1 = Never, 5 = Very often). The 31st item is reverse-scored. The psychometric properties of the DEBQ were validated in Turkish by Bozan, Baş, and Aşçı (2011), confirming the original three-factor structure. In their study, the Cronbach's alpha coefficients for the subscales were found to be: Emotional Eating: .90 Restrained Eating: .94 External Eating: .96 These reliability values indicate high internal con
8 weeks
Study Arms (2)
ChatGPT supported Online Guided Self-Help Program (GSHP)
EXPERIMENTALThe experimental group will participate in the ChatGPT-supported Online Group Guided Self-Help Program.
Control group
NO INTERVENTIONThe control group will consist of participants placed on a waitlist.
Interventions
Guided Self-Help Program (GSHP) The Guided Self-Help Program (GSHP) was developed by Fairburn and Carter for patients with binge eating disorder and later adapted to address various eating behaviors, forming an intervention protocol. GSHP modules consist of: Starting self-monitoring, Establishing regular eating patterns, Applying the "mindful eating" rule and developing alternatives to emotional eating, Practicing problem-solving exercises, Addressing diet-related issues and body image, and Termination modules. Session Structure: Session 1 focuses on tracking eating patterns and raising self-awareness about eating habits. Individuals are asked to maintain a daily record via a shared Google Forms link. This food diary is later processed through ChatGPT, and personalized feedback is provided. Session 2 provides psychoeducation on developing regular eating patterns. It emphasizes recognizing hunger and satiety cycles and reducing triggers. Participants are asked to log their meals daily
Eligibility Criteria
You may qualify if:
- Hold at least a bachelor's degree in nursing from a nursing school.
- Work as a nurse in an institution.
- Be a woman.
- Have a BMI (Body Mass Index) greater than 24.99.
- Not have a hearing impairment that would prevent them from understanding and completing verbal instructions.
- Have access to a smartphone or computer with a camera.
- Agree to participate in the study.
- Score 50 or higher on the emotional eating and external eating subscales of the Dutch Eating Behavior Questionnaire (DEBQ).
You may not qualify if:
- Refusal to participate in the study.
- Diagnosis of chronic diseases such as diabetes, hyperlipidemia, hypertension, or hyperthyroidism.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Dokuz Eylül University Faculty of Nursing
Izmir, İzmir, Turkey (Türkiye)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Gülsüm Zekiye TUNCER, PhD
Dokuz Eylul University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
October 18, 2024
First Posted
October 22, 2024
Study Start
November 2, 2024
Primary Completion
March 30, 2025
Study Completion
June 30, 2025
Last Updated
January 6, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share
In our ethics approval, it is stated that participant data confidentiality will be ensured. The ethical approval has been obtained in this manner.