NCT07524582

The Effect of an Artificial Intelligence-Supported Health Promotion Application on the Nutrition, Exercise and Sleep Habits of Adolescents

• Status: Active Not Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 146 (actual)
• Sponsor: Gümüşhane Universıty · Academic / Other
• Sex: All
• Age: 14 Years – 18 Years
• Healthy volunteers: Accepted

Summary

The goal of this clinical trial is to learn if the "Smart Nurse" artificial intelligence-supported mobile application improves nutrition, exercise, and sleep behaviors in high school students aged 14-18 years. The main questions it aimed to answer are: * Did the "Smart Nurse" app improve healthy nutrition and exercise behaviors in adolescents? * Did the "Smart Nurse" app improve sleep quality in adolescents? * Did the "Smart Nurse" app lower body mass index (BMI) and waist circumference in adolescents? Researchers compared participants who used the "Smart Nurse" app to participants who did not use the app to see if the app improved health behaviors. Participants: * Used the "Smart Nurse" mobile app every day for 12 weeks * Recorded their daily meals, physical activity, and sleep time in the app * Received personalized health messages based on their data * Completed health surveys and body measurements at the beginning and end of the study

Detailed description

Adolescence is a critical period during which nutrition, physical activity, and sleep habits are shaped. These habits directly affect health in adulthood. This study examined the effect of the "Smart Nurse" artificial intelligence-supported mobile application based on the PRECEDE-PROCEED model on these three health behaviors. The "Smart Nurse" application allowed students to record their daily nutritional intake, physical activity, and sleep duration. The artificial intelligence module analyzed the entered data according to international health guidelines and generated personalized nursing guidance messages. The study was conducted as a school-based randomized controlled trial in Gumushane, Turkey. Two high schools with similar demographic characteristics were selected. One school was randomly assigned as the intervention group (Gumushane Anatolian High School, n=72) and the other as the control group (Ali Fuat Kadirbeyoglu Anatolian High School, n=74). Participants were 10th grade students aged 14-18 years. The intervention lasted 12 weeks (September - December 2025). Primary outcomes included scores on the four subscales of the Nutrition-Exercise Behavior Scale (NEBS): healthy nutrition-exercise behavior, unhealthy nutrition-exercise behavior, psychological/dependent eating behavior, and meal regularity. Secondary outcomes included Pittsburgh Sleep Quality Index (PSQI) total score, body mass index (BMI), waist circumference, and waist-to-height ratio. Collected data will be analyzed using appropriate statistical methods.

Conditions

• Adolescent Health
• Nutrition Behavior
• Physical Activity
• Sleep Quality
• Health Promotion

Interventions

Type	Name	Description
BEHAVIORAL	Smart Nurse Mobile Application	An artificial intelligence-supported mobile health application designed for adolescents. Participants recorded their daily nutritional intake, physical activity steps, and sleep duration in the application every day for 12 weeks. The AI module analyzed the entered data according to international health guidelines (WHO Physical Activity Guidelines 2020, Turkey Nutrition Guidelines, National Sleep Foundation recommendations) and generated personalized nursing guidance messages. The application included four modules: nutrition tracking, exercise tracking, sleep tracking, and AI-based feedback.

Timeline

• Start date: 2025-09-08
• Primary completion: 2025-12-26
• Completion: 2026-05-01
• First posted: 2026-04-13
• Last updated: 2026-04-13

Locations

1 site across 1 country: Turkey (Türkiye)