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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
44
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
Dokuz Eylül University Faculty of Nursing
Izmir, İzmir, Turkey (Türkiye)
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
Time frame: 8 weeks
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