Related Experiment Video
Updated: Oct 26, 2025

06:13
Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
Published on: December 1, 2023
1.4K
Personal Activity Intelligence e-Health Program in People with Type 2 Diabetes: A Pilot Randomized Controlled Trial
Jeff S Coombes1, Shelley E Keating1, Gregore I Mielke1
1Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Queensland, AUSTRALIA.
Medicine and Science in Sports and Exercise
|August 2, 2021
Summary
The PAI e-Health Program is a feasible and acceptable way for people with type 2 diabetes to manage physical activity. This program effectively improved exercise capacity, sleep, and body composition.
Area of Science:
- Cardiology
- Endocrinology
- Digital Health
Background:
- Type 2 diabetes (T2D) management requires effective physical activity (PA) self-management strategies.
- Personal Activity Intelligence (PAI) is a novel metric using heart rate to guide PA for reduced mortality risk.
- The PAI score aims for a weekly target of ≥100 to indicate sufficient PA.
Purpose of the Study:
- To evaluate the feasibility, acceptability, and efficacy of the PAI e-Health Program for individuals with T2D.
- To assess if the PAI e-Health Program helps T2D patients meet PA guidelines and improve health outcomes.
Main Methods:
- A 12-week randomized controlled trial involving 30 participants with T2D not meeting PA guidelines.
- Intervention group received a PAI e-Health Program (heart rate monitor, app, exercise/counseling sessions).
- Control group received PA attention control; outcomes measured included glycemic control, fitness, body composition, and quality of life.
Main Results:
- PAI e-Health Program participants achieved a mean PAI score of 119.7, reaching ≥100 PAI on 56.4% of days.
- 80% of participants intended to continue PAI monitoring post-intervention.
- Significant improvements were observed in exercise capacity, sleep time, and reductions in total and gynoid body fat compared to the control group.
Conclusions:
- The PAI e-Health Program demonstrates feasibility and acceptability in the T2D population.
- The program is efficacious, leading to significant improvements in key health parameters for individuals with T2D.
- PAI monitoring offers a promising digital health tool for T2D self-management and improved health outcomes.
Related Concept Videos
Diabetes Mellitus: Type 2 and Gestational
3.6K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
3.6K
Diabetes: Management and Pharmacotherapy
595
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
595

