Cited by 50Mobile Health and mHealth ApplicationsDiabetes, Cardiovascular Risks, and LipoproteinsWorkplace Health and Well-being

Efficacy of a virtual assistance‐based lifestyle intervention in reducing risk factors for Type 2 diabetes in young employees in the information technology industry in India: LIMIT, a randomized controlled trial

Limaye, T., Kumaran, K., Joglekar, C., Bhat, D., Kulkarni, R., Nanivadekar, A., Yajnik, C.·2017·Diabetic Medicine

Abstract

Aims To investigate a virtual assistance-based lifestyle intervention to reduce risk factors for Type 2 diabetes in young employees in the information technology industry in India. Methods LIMIT (Lifestyle Modification in Information Technology) was a parallel-group, partially blinded, randomized controlled trial. Employees in the information technology industry with ≥3 risk factors (family history of cardiometabolic disease, overweight/obesity, high blood pressure, impaired fasting glucose, hypertriglyceridaemia, high LDL cholesterol and low HDL cholesterol) from two industries were randomized to a control or an intervention (1:1) group. After initial lifestyle advice, the intervention group additionally received reinforcement through mobile phone messages (three per week) and e-mails (two per week) for 1 year. The primary outcome was change in prevalence of overweight/obesity, analysed by intention to treat. Results Of 437 employees screened (mean age 36.2 ± 9.3 years; 74.8% men), 265 (61.0%) were eligible and randomized into control (n=132) or intervention (n=133) group. After 1 year, the prevalence of overweight/obesity reduced by 6.0% in the intervention group and increased by 6.8% in the control group (risk difference 11.2%; 95% CI 1.2-21.1; P=0.042). There were also significant improvements in lifestyle measurements, waist circumference, and total and LDL cholesterol in the intervention group. The number-needed-to-treat to prevent one case of overweight/obesity in 1 ye…

Integrity signals

Registry

Crossref · 10.1111/dme.13258

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Limaye et al reported PPC health care costs: the incremental cost of the DHI was GBP 35.8 (USD 47.5) per participant compared to GBP 23.3 (USD 30.9) per participant in the control group.

    “The incremental cost of the DHI was GBP 35.8 (USD 47.5) per participant compared to GBP 23.3 (USD 30.9) per participant in the control group [38].”
  • Limaye et al reported the effects of DCP on health care costs with negative results.

    “Limaye et al [38] reported the effects of DCP on health care costs, with negative results.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Limaye, T., Kumaran, K., Joglekar, C., Bhat, D., Kulkarni, R., Nanivadekar, A., & Yajnik, C.
Affiliations
  • King Edward Memorial Hospital Research Centre (IN)
  • MRC Lifecourse Epidemiology Unit (GB)
  • Just for Hearts Healthcare Pvt. Ltd. Pune India
  • Medical Research Consultant Mumbai India
Corresponding author
Yajnik, C.
Venue
Diabetic Medicine
Publisher
Wiley
Published
2016-10-06
Volume
34
Issue
4
Pages
563-568
ISSN
  • 0742-3071 (ISSN-L)
  • 1464-5491
OpenAlex
W2518191713
Cited by
50
References
1
Citations by year
2026: 3 · 2025: 7 · 2024: 3 · 2023: 5 · 2022: 6 · 2021: 9 · 2020: 6 · 2019: 6 · 2018: 3 · 2017: 2
FWCI
6.82
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetic Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
Funders
  • Diabetes Unit, King Edward Memorial Hospital Research Centre, Pune
  • Department of Science and Technology, New Delhi (DST/INSPIRE Fellowship/2010/(92))
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
Keywords
type 2 diabetes prevention, lifestyle intervention, virtual assistance, text messaging, overweight and obesity, young workers, IT industry, cardiometabolic risk factors, waist circumference, LDL cholesterol, cost-effectiveness, treatment acceptability, workplace health promotion
MeSH terms
Information Technology, Adult, Diabetes Mellitus, Type 2, Female, Humans, Hypertension, India, Cholesterol, HDL, Cholesterol, LDL, Male, Obesity, Reinforcement, Psychology, User-Computer Interface, Hypertriglyceridemia, Occupational Health, Glucose Intolerance, Electronic Mail, Risk Reduction Behavior, Cell Phone, Dyslipidemias, Overweight, Text Messaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review