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

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.

Conditions

• Overweight (BMI > 25)
• Obesity and Overweight
• Emotional Eating
• Binge Eating

Interventions

BEHAVIORAL

ChatGPT supported Online Guided Self-Help Program (GSHP)

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

Sponsors & Collaborators

• Dokuz Eylul University

  lead OTHER

Principal Investigators

• Gülsüm Zekiye TUNCER, PhD · Dokuz Eylul University

Study Design

Allocation

RANDOMIZED

Purpose

SUPPORTIVE_CARE

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

20 Years

Max Age

65 Years

Sex

FEMALE

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2024-11-02

Primary Completion

2025-03-30

Completion

2025-06-30

Countries

• Turkey (Türkiye)

Study Locations