Cited by 22Mobile Health and mHealth ApplicationsDiabetes Management and EducationDiabetes, Cardiovascular Risks, and Lipoproteins

Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial

Open access
Muralidharan, Shruti, Ranjani, Harish, Anjana, Ranjit Mohan, Gupta, Yashdeep, Ambekar, Samita, Koppikar, Varsha, Jagannathan, N, Jena, Sidhant +3 more·2021·DIGITAL HEALTH

Abstract

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.

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Crossref · 10.1177/20552076211039032

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  • Muralidharan et al and Holmes et al concluded that TM, in addition to TCP, does not have a significant effect on delaying T2DM.

    “For example, Muralidharan et al [51] and Holmes et al [52] concluded that TM, in addition to TCP, does not have a significant effect on delaying T2DM.”

    From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [51]

    The Discussion (page unavailable) reports no change in fasting plasma glucose after 12 weeks of a multimodal mHealth intervention with human coach calls, and the Conclusions say a longer, more intensive intervention appears necessary for diabetes prevention. The paper does not test text messaging added to telephone counseling as a separate comparison or measure whether T2DM onset was delayed, so it does not support that specific conclusion. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

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Authors
Muralidharan, S., Ranjani, H., Anjana, R. M., Gupta, Y., Ambekar, S., Koppikar, V., Jagannathan, N., Jena, S., Tandon, N., Allender, S., & Mohan, V.
Affiliations
  • Deakin University (AU)
  • Madras Diabetes Research Foundation (IN)
  • All India Institute of Medical Sciences (IN)
  • Johnson & Johnson Vision Care (United States) (US)
Corresponding author
Mohan, Viswanathan
Venue
DIGITAL HEALTH
Published
2021-01
Volume
7
Pages
20552076211039032-20552076211039032
ISSN
2055-2076 (ISSN-L)
OpenAlex
W3197151374
Cited by
22
References
19
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 2 · 2022: 3
FWCI
3.09
Type
journal article
Language
en
Open access
Locations
  • Digital Health (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by-nc)
Funders
Government of India under the Biotechnology Industry Partnership Programme of the Department of Biotechnology
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
cardiometabolic risk factors, mobile health, diabetes prevention, type 2 diabetes, mobile application, health coaching, obesity, cardiovascular disease prevention

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