Title :
Pattern of active and inactive sequences of diabetes self-monitoring in mobile phone and paper diary users
Author :
Nikhil S. Padhye;Jing Wang
Author_Institution :
The University of Texas Health Science Center at Houston, 77030 USA
Abstract :
In a pilot randomized controlled trial involving overweight or obese participants with type 2 diabetes, we find that smartphone users have sharply higher adherence to self-monitoring of diet, physical activity, blood glucose, and body weight, as compared to paper diary users. By characterizing the pattern of adherence with the probability of continuation of active and inactive sequences of self-monitoring, we find that smartphone users have longer active sequences of self-monitoring of all four behaviors that were being monitored. Smartphone users are also quicker to resume self-monitoring of diet and physical activity after a lapse in self-monitoring, whereas paper diary users have shorter inactive sequences for monitoring blood glucose and body weight. The findings are informative for data collection methodology in this burgeoning area of research.
Keywords :
"Monitoring","Sugar","Blood","Diabetes","Probability distribution","Atmospheric measurements","Particle measurements"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7320159