Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial
Objective India is experiencing an increasing prevalence of type 2 diabetes and cardiovascular diseases. Mobile health technology may be a strategy to reduce the risk of cardiometabolic disorders. This paper reports on the effect of a mobile health intervention on cardiometabolic risk factors. Metho...
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doaj-2a8e15f4e51141f2b5a34d06290de23c2021-09-20T12:03:23ZengSAGE PublishingDigital Health2055-20762021-09-01710.1177/20552076211039032Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trialShruti Muralidharan0Harish Ranjani1Ranjit Mohan Anjana2Yashdeep Gupta3Samita Ambekar4Varsha Koppikar5N Jagannathan6Sidhant Jena7Nikhil Tandon8Steven Allender9Viswanathan Mohan10 , WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India , WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India , WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India Department of Endocrinology, , India Department of Endocrinology, , India Jana Care Solutions Private Limited, India , WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India Jana Care Solutions Private Limited, India Department of Endocrinology, , India Global Obesity Center (GLOBE), Centre for Population Health Research and WHO Collaborating Centre for Obesity Prevention, , Australia , WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, IndiaObjective India is experiencing an increasing prevalence of type 2 diabetes and cardiovascular diseases. Mobile health technology may be a strategy to reduce the risk of cardiometabolic disorders. This paper reports on the effect of a mobile health intervention on cardiometabolic risk factors. Methods The mobile health and diabetes intervention was a 12-week reality television-based mobile health program application delivered via videos, short message service and infographics through a smartphone application followed-up weekly by health coach calls. mobile health and diabetes was conducted in a randomized control trial mode randomized controlled trial methodology in three Indian cities (Chennai, Bengaluru and New Delhi) with participants recruited via community screening events. This paper looks at the pre–post changes in cardiometabolic risks among the participants and the place of demography in influencing these. Results The mobile health and diabetes intervention group experienced a small reduction in waist circumference (1.8 cm) compared to the control group (0.5 cm, p < 0.05) and a greater decrease in systolic blood pressure (2.7 mmHg) compared to the control group ( p < 0.05). The improvements in cardiometabolic risk factors were more pronounced in individuals with obesity, although overall effects were very modest Conclusions Cardiometabolic risk factors can be reduced with a mobile health application using human coaching, especially in obese individuals, but the improvements are small. To be more effective and clinically meaningful, intensive engagement with the participants is probably required.https://doi.org/10.1177/20552076211039032 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shruti Muralidharan Harish Ranjani Ranjit Mohan Anjana Yashdeep Gupta Samita Ambekar Varsha Koppikar N Jagannathan Sidhant Jena Nikhil Tandon Steven Allender Viswanathan Mohan |
spellingShingle |
Shruti Muralidharan Harish Ranjani Ranjit Mohan Anjana Yashdeep Gupta Samita Ambekar Varsha Koppikar N Jagannathan Sidhant Jena Nikhil Tandon Steven Allender Viswanathan Mohan Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial Digital Health |
author_facet |
Shruti Muralidharan Harish Ranjani Ranjit Mohan Anjana Yashdeep Gupta Samita Ambekar Varsha Koppikar N Jagannathan Sidhant Jena Nikhil Tandon Steven Allender Viswanathan Mohan |
author_sort |
Shruti Muralidharan |
title |
Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial |
title_short |
Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial |
title_full |
Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial |
title_fullStr |
Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial |
title_full_unstemmed |
Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial |
title_sort |
change in cardiometabolic risk factors among asian indian adults recruited in a mhealth-based diabetes prevention trial |
publisher |
SAGE Publishing |
series |
Digital Health |
issn |
2055-2076 |
publishDate |
2021-09-01 |
description |
Objective India is experiencing an increasing prevalence of type 2 diabetes and cardiovascular diseases. Mobile health technology may be a strategy to reduce the risk of cardiometabolic disorders. This paper reports on the effect of a mobile health intervention on cardiometabolic risk factors. Methods The mobile health and diabetes intervention was a 12-week reality television-based mobile health program application delivered via videos, short message service and infographics through a smartphone application followed-up weekly by health coach calls. mobile health and diabetes was conducted in a randomized control trial mode randomized controlled trial methodology in three Indian cities (Chennai, Bengaluru and New Delhi) with participants recruited via community screening events. This paper looks at the pre–post changes in cardiometabolic risks among the participants and the place of demography in influencing these. Results The mobile health and diabetes intervention group experienced a small reduction in waist circumference (1.8 cm) compared to the control group (0.5 cm, p < 0.05) and a greater decrease in systolic blood pressure (2.7 mmHg) compared to the control group ( p < 0.05). The improvements in cardiometabolic risk factors were more pronounced in individuals with obesity, although overall effects were very modest Conclusions Cardiometabolic risk factors can be reduced with a mobile health application using human coaching, especially in obese individuals, but the improvements are small. To be more effective and clinically meaningful, intensive engagement with the participants is probably required. |
url |
https://doi.org/10.1177/20552076211039032 |
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