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Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups

Salunkhe, Vishal A. LU ; Sinha, Neha ; Ahlqvist, Emma LU ; Prasad, Rashmi B. LU ; Johansson, Svetlana LU ; Abrahamsson, Birgitta LU and Rosengren, Anders H. LU (2023) In npj Digital Medicine 6(1).
Abstract

To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n = 331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4 mmol/mol compared with matched controls; P = 0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. The findings open a new avenue for scalable lifestyle management with sustained efficacy and highlight a... (More)

To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n = 331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4 mmol/mol compared with matched controls; P = 0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. The findings open a new avenue for scalable lifestyle management with sustained efficacy and highlight a previously unrecognized opportunity for digital precision treatment based on genetics and individual pathophysiology. ClinicalTrials.gov NCT04624321.

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type
Contribution to journal
publication status
published
subject
in
npj Digital Medicine
volume
6
issue
1
article number
199
publisher
Nature Publishing Group
external identifiers
  • scopus:85175065961
ISSN
2398-6352
DOI
10.1038/s41746-023-00946-0
language
English
LU publication?
yes
additional info
Funding Information: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement TRANSLATIONAL, 866510). The study was also supported by the Swedish Research Council (2022-01301), the Knut and Alice Wallenberg Foundation, and Sydvästra Skånes Diabetesförening. We thank Louise Qvist, Maria Fälemark, Helene Ferm, and Jessica Hedin for managing study visits, as well as Jasmina Kravic, Johan Hultman, Leif Groop, and the ANDIS steering committee for support on ANDIS-related data. We also thank the patients and colleagues who participated in the development and evaluation of the tool. Publisher Copyright: © 2023, The Author(s).
id
c42beaab-2ca6-4aa8-a145-662b4dd5a6f0
date added to LUP
2023-11-15 10:33:16
date last changed
2024-04-13 00:22:36
@article{c42beaab-2ca6-4aa8-a145-662b4dd5a6f0,
  abstract     = {{<p>To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n = 331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4 mmol/mol compared with matched controls; P = 0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. The findings open a new avenue for scalable lifestyle management with sustained efficacy and highlight a previously unrecognized opportunity for digital precision treatment based on genetics and individual pathophysiology. ClinicalTrials.gov NCT04624321.</p>}},
  author       = {{Salunkhe, Vishal A. and Sinha, Neha and Ahlqvist, Emma and Prasad, Rashmi B. and Johansson, Svetlana and Abrahamsson, Birgitta and Rosengren, Anders H.}},
  issn         = {{2398-6352}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{npj Digital Medicine}},
  title        = {{Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups}},
  url          = {{http://dx.doi.org/10.1038/s41746-023-00946-0}},
  doi          = {{10.1038/s41746-023-00946-0}},
  volume       = {{6}},
  year         = {{2023}},
}