Published on in Vol 6, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9471, first published .
Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Journals

  1. Whelan M, Orme M, Kingsnorth A, Sherar L, Denton F, Esliger D. Examining the Use of Glucose and Physical Activity Self-Monitoring Technologies in Individuals at Moderate to High Risk of Developing Type 2 Diabetes: Randomized Trial. JMIR mHealth and uHealth 2019;7(10):e14195 View
  2. McMillan K, Paing A, Kirk A, Hewitt A, MacRury S, Collier A, Chastin S. Measuring group and individual relationship between patterns in sedentary behaviour and glucose in type 2 diabetes adults. Practical Diabetes 2020;37(1):13 View
  3. Liao Y, Schembre S. Acceptability of Continuous Glucose Monitoring in Free-Living Healthy Individuals: Implications for the Use of Wearable Biosensors in Diet and Physical Activity Research. JMIR mHealth and uHealth 2018;6(10):e11181 View
  4. Liao Y, Basen-Engquist K, Urbauer D, Bevers T, Hawk E, Schembre S. Using Continuous Glucose Monitoring to Motivate Physical Activity in Overweight and Obese Adults: A Pilot Study. Cancer Epidemiology Biomarkers & Prevention 2020;29(4):761 View
  5. Kingsnorth A, Whelan M, Orme M, Routen A, Sherar L, Esliger D. Resistance to data loss from the Freestyle Libre: impact on glucose variability indices and recommendations for data analysis. Applied Physiology, Nutrition, and Metabolism 2021;46(2):148 View

Books/Policy Documents

  1. Schembre S, Liao Y, Jospe M. Obesity and Diabetes. View