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

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

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Key information

Conditions

Adolescent Health Behavior Dyssomnias Health Promotion Mental Disorders Motor Activity Nervous System Diseases Nutrition Behavior Physical Activity Sleep Disorders, Intrinsic Sleep Initiation and Maintenance Disorders Sleep Quality Sleep Wake Disorders

Age range

14 year–18 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Gumushane University

Gümüşhane, Merkez, 29000, Turkey (Türkiye)

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

10th grade high school student
Aged 14-18 years
Owns a smartphone
Willing to participate voluntarily
Parent/guardian signed informed consent form

Exclusion criteria

Treatment and study plan

Smart Nurse Mobile Application

Behavioral

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.

Primary outcomes

Nutrition-Exercise Behavior Scale (NEBS) Subscale Scores

Time frame: Baseline and 12 weeks

Change in four subscale scores of the Nutrition-Exercise Behavior Scale (NEBS): healthy nutrition-exercise behavior, unhealthy nutrition-exercise behavior, psychological/dependent eating behavior, and meal regularity. Higher scores on healthy nutrition-exercise and meal regularity subscales indicate better behaviors. Higher scores on unhealthy nutrition-exercise and psychological eating subscales indicate worse behaviors.

Sponsors and collaborators

Lead sponsor

Gümüşhane Universıty

Other

Registry information

Acronym: SN-ADOL-RCT

Important dates

Study start: 2025
Primary completion: 2025
Study completion: 2026
First posted: Apr 13, 2026
Registry last updated: Apr 13, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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