This paper is in the following e-collection/theme issue:

Fitness Trackers and Smart Pedometers/Accelerometers (541) mHealth for Wellness, Behavior Change and Prevention (2743) Wearable Devices and Sensors (818)

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

Authors of this article:

Andrew P Kingsnorth1 Author Orcid Image ;   Maxine E Whelan1 Author Orcid Image ;   James P Sanders1, 2 Author Orcid Image ;   Lauren B Sherar1, 2 Author Orcid Image ;   Dale W Esliger1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (19) Metrics

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
  6. Yoshimura E, Hamada Y, Hatanaka M, Nanri H, Nakagata T, Matsumoto N, Shimoda S, Tanaka S, Miyachi M, Hatamoto Y. Relationship between intra-individual variability in nutrition-related lifestyle behaviors and blood glucose outcomes under free-living conditions in adults without type 2 diabetes. Diabetes Research and Clinical Practice 2023;196:110231 View
  7. El Fatouhi D, Héritier H, Allémann C, Malisoux L, Laouali N, Riveline J, Salathé M, Fagherazzi G. Associations Between Device-Measured Physical Activity and Glycemic Control and Variability Indices Under Free-Living Conditions. Diabetes Technology & Therapeutics 2022;24(3):167 View
  8. Lares-Villaseñor E, Salazar-García S, Cossío-Torres P, Medina-Jasso D, Aradillas-García C, Portales-Pérez D, Vargas-Morales J. Glycemia and associated factors in a pediatric population in Mexico. Frontiers in Pediatrics 2023;11 View

Books/Policy Documents

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