Diabetes Prevention AI: Enhancing Prevention Strategies Using Personalized Nutrition and Fitness Coaching for the Next Generation
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- Feasibility and Acceptability: Task completion rate
研究概览
简要总结
This study is testing an artificial intelligence (AI) chatbot designed to help adults at risk for type 2 diabetes adopt healthier lifestyles. The chatbot provides personalized and culturally tailored guidance on nutrition, physical activity, resistance training, and goal setting. About 30 adults aged 18 to 55 years will use the chatbot for 6 weeks and provide feedback through surveys and interviews.
Researchers will evaluate whether the chatbot is easy to use, helpful, and trustworthy, and whether data about changes in health behaviors can be feasibly collected, in order to inform larger future studies to improve diabetes prevention.
详细描述
Type 2 diabetes continues to be a major public health concern, with growing evidence that individuals with normal body weight may also be at increased risk of developing prediabetes and type 2 diabetes. Existing diabetes prevention programs have primarily targeted individuals with overweight or obesity, creating a need for innovative prevention approaches tailored to younger, normal-weight, and culturally diverse populations.
This study will evaluate a novel artificial intelligence (AI)-powered chatbot designed to deliver personalized, culturally tailored diabetes prevention support. The intervention combines evidence-based nutrition and physical activity guidance with conversational AI technology to provide accessible lifestyle coaching focused on diabetes risk reduction. The chatbot incorporates expert-validated educational content and behavioral support strategies intended to promote healthy habits and sustained engagement.
The chatbot was developed using a curated knowledge base of culturally adapted diabetes prevention recommendations. Personalized guidance is generated using participant preferences, context, and validated educational resources to support lifestyle behaviors associated with improved metabolic health. The platform is intended to provide scalable, user-centered support while maintaining alignment with established diabetes prevention principles.
This pilot study will assess the feasibility and acceptability of implementing an AI-enabled diabetes prevention intervention in a real-world setting. Researchers will evaluate user experiences with the chatbot, including engagement, satisfaction, trust, usability, and perceptions of cultural relevance. Findings will inform future development of digital health interventions and support the design of larger studies aimed at evaluating the effectiveness of AI-assisted approaches for diabetes prevention and health equity.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 55 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Have at least one of the following diabetes risk factors:
- •HbA1C of 5.7-6.4%
- •BMI of 18.5 - 24.9 kg/m^2
- •Fasting plasma glucose 100 - 125 mg/dL
- •Family history of type 2 diabetes in first-degree relatives (parents, siblings, or children)
- •History of gestational diabetes
- •Membership in a high-risk ethnic group (African American, Hispanic, Native American, Asian American, Pacific Islander)
- •Access to a smartphone or computer with internet
- •English reading and writing proficiency
- •Be willing to use the chatbot at least 3 times per week
- •Be able to provide informed consent
- •Availability for the 6-week study duration
- •Able to perform resistance training exercises
排除标准
- •Are diagnosed with type 1 or type 2 diabetics
- •Have uncontrolled hypertension (higher than 160/100 mmHg)
- •Have cardiovascular disease
- •Are pregnant or planning to be pregnant
- •Are actively undergoing treatment for cancer
- •Have an eating disorder
- •Have chronic kidney disease
- •Are enrolled in another research study or participating in a structured lifestyle program
研究组 & 干预措施
AI-Powered Diabetes Prevention Chatbot
Participants will receive access to an artificial intelligence (AI)-powered chatbot that provides personalized, culturally tailored diabetes prevention guidance focused on nutrition, resistance training, goal setting, and lifestyle behavior change for a 6-week intervention period.
干预措施: AI-Powered Diabetes Prevention Chatbot (Behavioral)
结局指标
主要结局
Feasibility and Acceptability: Task completion rate
时间窗: Baseline, 6 weeks
The proportion of recommended chatbot activities, goals, or behavioral tasks completed by participants during the 6-week intervention period, as assessed through chatbot analytics. This measure will be used to evaluate participant engagement and adherence to chatbot-delivered recommendations.
Feasibility and Acceptability: Conversation length
时间窗: Baseline, 6 weeks
Average number of messages exchanged between participants and the AI chatbot during each interaction session over the study period. Conversation length will be obtained from chatbot analytics and used as an indicator of participant engagement with the intervention. Longer conversations may reflect greater interaction with chatbot-delivered nutrition, physical activity, and lifestyle coaching content
次要结局
- Feasibility: Body Mass Index (BMI)(Baseline, 6 weeks)
- Feasibility: Physical Activity Behaviors(Baseline, 6 weeks)
- Feasibility: Dietary Behaviors(Baseline, 6 weeks)
- Feasibility: Behavioral Intention for Diabetes Prevention(Baseline, 6 weeks)
- Perceived Trustworthiness of the Chatbot(Baseline, 6 weeks)
- Ease of Use: System Usability Scale (SUS)(Baseline)
- NASA Task Load Index (NASA-TLX)(Baseline)
研究者
Megha Kumudchandra Shah
Associate Professor
Emory University