Evidence map›Paper›PMID 34567611›Full record

ArticleDigital health

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

Shruti Muralidharan, Harish Ranjani, Ranjit Mohan Anjana, Yashdeep Gupta, Samita Ambekar, Varsha Koppikar, N Jagannathan, Sidhant Jena, Nikhil Tandon, Steven Allender and 1 more

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  7. Evaluating the Impact of mySugrDiabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Shruti MuralidharanGlobal Obesity Center (GLOBE), Centre for Population Health Research and WHO Collaborating Centre for Obesity Prevention, Deakin University, Australia.ORCID https://orcid.org/0000-0003-2254-0262
Harish RanjaniMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India.
Yashdeep GuptaDepartment of Endocrinology, All India Institute of Medical Sciences, India.
Samita AmbekarDepartment of Endocrinology, All India Institute of Medical Sciences, India.
Varsha KoppikarJana Care Solutions Private Limited, India.
N JagannathanMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India.
Sidhant JenaJana Care Solutions Private Limited, India.
Nikhil TandonDepartment of Endocrinology, All India Institute of Medical Sciences, India.
Steven AllenderGlobal Obesity Center (GLOBE), Centre for Population Health Research and WHO Collaborating Centre for Obesity Prevention, Deakin University, Australia.
Viswanathan MohanMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Prevention and Control of Non-Communicable Diseases and International Diabetes Federation Centre of Excellence in Diabetes, India.
Madras Diabetes Research Foundation · INAll India Institute of Medical Sciences · INDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIndia 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.

methodsThe 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.

resultsThe mobile health and diabetes intervention group experienced a small reduction in waist circumference (1.8 cm) compared to the control group (0.5 cm,

conclusionsCardiometabolic 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.

Indexed as

cardiometabolic risk factorsdiabetes preventioneHealthlifestylemHealthmHealth applicationobesity

Identifiers

PMID34567611
PMCPMC8456619
OpenAlexW3197151374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.