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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

D

Dokuz Eylül University (DEU)

Status

Completed

Conditions

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

Treatments

Behavioral: ChatGPT supported Online Guided Self-Help Program (GSHP)

Study type

Interventional

Funder types

Other

Identifiers

NCT06653673
9128-GOA

Details and patient eligibility

About

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.

Enrollment

44 patients

Sex

Female

Ages

20 to 65 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • 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).

Exclusion criteria

  • Refusal to participate in the study.
  • Diagnosis of chronic diseases such as diabetes, hyperlipidemia, hypertension, or hyperthyroidism.

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

44 participants in 2 patient groups

ChatGPT supported Online Guided Self-Help Program (GSHP)
Experimental group
Description:
The experimental group will participate in the ChatGPT-supported Online Group Guided Self-Help Program.
Treatment:
Behavioral: ChatGPT supported Online Guided Self-Help Program (GSHP)
Control group
No Intervention group
Description:
The control group will consist of participants placed on a waitlist.

Trial contacts and locations

1

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Central trial contact

Gülsüm Z TUNCER, PhD

Data sourced from clinicaltrials.gov

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