Shruti Muralidharan1,2, Harish Ranjani2, Ranjit Mohan Anjana2, Sidhant Jena3, Nikhil Tandon4, Yashdeep Gupta4, Samita Ambekar4, Varsha Koppikar3, N Jagannathan2, Steven Allender1, Viswanathan Mohan2. 1. Global Obesity Center (GLOBE), Center for Population Health Research & WHO Collaborating Center for Obesity Prevention, Deakin University, Geelong, Australia. 2. Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Center, WHO Collaborating Center for Prevention and Control of Noncommunicable Diseases & IDF Centre of Excellence in Diabetes Care, Chennai, India. 3. Janacare Solutions Private Limited, Bengaluru, India. 4. Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India.
Abstract
Background: Prevalence of type 2 diabetes (T2D) is increasing worldwide. Identifying and targeting individuals at high risk, is essential for preventing T2D. Several studies point to mobile health initiatives delivered through personal smart devices being a promising approach to diabetes prevention, through weight loss. The aim of the mobile health and diabetes (mDiab) trial was twofold: to achieve 5% weight loss and to look at the association of weight loss with degree of engagement with the mDiab app. Methods: The mDiab randomized control trial was carried out among smartphone users who are at high risk for T2D mellitus in three cities-Chennai, Bengaluru, and New Delhi in India. The intervention was delivered through a mobile phone application along with weekly coach calls for 12 weeks. While individuals in the intervention group individuals received the app, which enabled tracking their weight, physical activity, and diet along with 12 weekly video lessons on T2D prevention and coach calls, the control group received usual care. Results: The intervention group experienced a significant 1 kg weight loss while the control group lost 0.3 kg (P < 0.05). More individuals in the intervention group (n = 139, 15%) met the 5% weight loss target than in the control group (n = 131, 9%). In the intervention group those who viewed the videos experienced greater weight loss (2.4 kg) than those who only attended coach calls (0.9 kg) (P < 0.01). Conclusions: An mHealth intervention helped to achieve moderate weight loss. Future studies should explore the sustainability of this weight loss.
RCT Entities:
Background: Prevalence of type 2 diabetes (T2D) is increasing worldwide. Identifying and targeting individuals at high risk, is essential for preventing T2D. Several studies point to mobile health initiatives delivered through personal smart devices being a promising approach to diabetes prevention, through weight loss. The aim of the mobile health and diabetes (mDiab) trial was twofold: to achieve 5% weight loss and to look at the association of weight loss with degree of engagement with the mDiab app. Methods: The mDiab randomized control trial was carried out among smartphone users who are at high risk for T2D mellitus in three cities-Chennai, Bengaluru, and New Delhi in India. The intervention was delivered through a mobile phone application along with weekly coach calls for 12 weeks. While individuals in the intervention group individuals received the app, which enabled tracking their weight, physical activity, and diet along with 12 weekly video lessons on T2D prevention and coach calls, the control group received usual care. Results: The intervention group experienced a significant 1 kg weight loss while the control group lost 0.3 kg (P < 0.05). More individuals in the intervention group (n = 139, 15%) met the 5% weight loss target than in the control group (n = 131, 9%). In the intervention group those who viewed the videos experienced greater weight loss (2.4 kg) than those who only attended coach calls (0.9 kg) (P < 0.01). Conclusions: An mHealth intervention helped to achieve moderate weight loss. Future studies should explore the sustainability of this weight loss.
Authors: Siew Min Ang; Juliana Chen; Jia Huan Liew; Jolyn Johal; Yock Young Dan; Margaret Allman-Farinelli; Su Lin Lim Journal: J Med Internet Res Date: 2021-11-16 Impact factor: 5.428
Authors: Kimberly R Azelton; Aidan P Crowley; Nicholas Vence; Karin Underwood; Gerald Morris; John Kelly; Matthew J Landry Journal: Front Digit Health Date: 2021-11-25