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临床试验/NCT07376655
NCT07376655
尚未招募
不适用

Effect of the Thrive AI Health App on Lifestyle Behaviors and Quality of Life

Yale University0 个研究点目标入组 20 人开始时间: 2026年1月1日最近更新:
干预措施App

概览

阶段
不适用
状态
尚未招募
入组人数
20
主要终点
Physical activity

概览

简要总结

The goals of this randomized trial is to learn:

  1. If the Thrive AI Health app will help adults improve their everyday habits (diet, exercise, and sleep).
  2. How often participants will use the Thrive AI Health app to which they will have free access

The Thrive AI Health app uses artificial intelligence (AI) to give personalized advice. It is designed to help people eat better, exercise more, manage stress, and sleep well.

Researchers will compare changes in diet, exercise and sleep in participants using the app to those participants not using the app.

Participants will complete study questionnaires and an in-person visit at the beginning and end of the study.

详细描述

After consenting to participate in the study, adults who are overweight, have obesity, prediabetes, or type II diabetes will complete online questionnaires and attend an in-person visit.

The questionnaires measure:

Diet; Physical activity; Sleep quality; Quality of life

During the visit, the following will be measured or performed:

Height; Weight; Blood pressure; Blood sample collection; 6-minute walk test

Participants will then be randomly assigned to one of two groups:

  1. Thrive AI Health app intervention group. The Thrive AI Health app uses artificial intelligence (AI) to give personalized advice. It is designed to help people eat better, exercise more, manage stress, and sleep well.
  2. Wait-list control group

Those in the intervention group will be give a Fitbit which will by synched with the app.

After 12 weeks, participants will complete the questionnaires and clinic visit assessments again.

Following the 12-week assessments, those in the wait-list group will gain access to the Thrive AI Health app for 12 weeks and will complete online questionnaires at the 24-week mark.

When participants in the wait-list group gain access to the app, they will also start wearing a Fitbit, which will be linked to the app.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
None

入排标准

年龄范围
40 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Be at high risk for chronic disease defined as:
  • Body mass index (BMI)\>25
  • BMI\<=25 who are prediabetic or have type 2 diabetes
  • Aged 40 years or older

排除标准

  • Unable to walk

研究组 & 干预措施

Thrive AI Health app

Experimental

Access to the Thrive AI Health app

干预措施: App (Behavioral)

Wait list control

No Intervention

结局指标

主要结局

Physical activity

时间窗: Baseline to 12 weeks

Self-reported minutes per week of moderate-vigorous-intensity physical activity will be estimated using the Modifiable Physical Activity Questionnaire. A higher number of minutes of moderate-vigorous-intensity physical activity per week means a better outcome.

次要结局

  • Healthy Eating Index(Baseline to 12 weeks)
  • Sleep quality(Baseline to 12 weeks)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Melinda Irwin

Professor

Yale University

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