Cargando…

A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis

BACKGROUND: The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at risk. Digital DPPs have the potential to use tec...

Descripción completa

Detalles Bibliográficos
Autores principales: Batten, Ryan, Alwashmi, Meshari F, Mugford, Gerald, Nuccio, Misa, Besner, Angele, Gao, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800085/
https://www.ncbi.nlm.nih.gov/pubmed/35029532
http://dx.doi.org/10.2196/23243
_version_ 1784642187599806464
author Batten, Ryan
Alwashmi, Meshari F
Mugford, Gerald
Nuccio, Misa
Besner, Angele
Gao, Zhiwei
author_facet Batten, Ryan
Alwashmi, Meshari F
Mugford, Gerald
Nuccio, Misa
Besner, Angele
Gao, Zhiwei
author_sort Batten, Ryan
collection PubMed
description BACKGROUND: The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at risk. Digital DPPs have the potential to use technology, in conjunction with behavior change science, to prevent prediabetes on a national and global scale. OBJECTIVE: The aim of this study is to investigate the effects of a digital DPP (Virgin Pulse [VP] Transform for Prediabetes) on weight and physical activity among participants who had completed 12 months of the program. METHODS: This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in VP Transform for Prediabetes for 12 months of the program. The program incorporates interactive mobile computing, remote monitoring, an evidence-based curriculum, behavior tracking tools, health coaching, and online peer support to prevent or delay the onset of type 2 diabetes. RESULTS: The sample (N=1095) was comprised of people with prediabetes who completed at least 9 months of the VP Transform for Prediabetes program. Participants were 67.7% (n=741) female, with a mean age of 53.6 (SD 9.75) years. After 12 months, participants decreased their weight by an average of 10.9 lbs (5.5%; P<.001) and increased their physical activity by 91.2 (P<.001) minutes. CONCLUSIONS: These results suggest that VP Transform for Prediabetes is effective at preventing type 2 diabetes through a significant reduction in body weight and increase of physical activity. Furthermore, these results suggest that the DPP remains effective 12 months after beginning the program. A prospective randomized controlled clinical study is warranted to validate these findings.
format Online
Article
Text
id pubmed-8800085
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-88000852022-02-03 A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis Batten, Ryan Alwashmi, Meshari F Mugford, Gerald Nuccio, Misa Besner, Angele Gao, Zhiwei JMIR Diabetes Original Paper BACKGROUND: The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at risk. Digital DPPs have the potential to use technology, in conjunction with behavior change science, to prevent prediabetes on a national and global scale. OBJECTIVE: The aim of this study is to investigate the effects of a digital DPP (Virgin Pulse [VP] Transform for Prediabetes) on weight and physical activity among participants who had completed 12 months of the program. METHODS: This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in VP Transform for Prediabetes for 12 months of the program. The program incorporates interactive mobile computing, remote monitoring, an evidence-based curriculum, behavior tracking tools, health coaching, and online peer support to prevent or delay the onset of type 2 diabetes. RESULTS: The sample (N=1095) was comprised of people with prediabetes who completed at least 9 months of the VP Transform for Prediabetes program. Participants were 67.7% (n=741) female, with a mean age of 53.6 (SD 9.75) years. After 12 months, participants decreased their weight by an average of 10.9 lbs (5.5%; P<.001) and increased their physical activity by 91.2 (P<.001) minutes. CONCLUSIONS: These results suggest that VP Transform for Prediabetes is effective at preventing type 2 diabetes through a significant reduction in body weight and increase of physical activity. Furthermore, these results suggest that the DPP remains effective 12 months after beginning the program. A prospective randomized controlled clinical study is warranted to validate these findings. JMIR Publications 2022-01-14 /pmc/articles/PMC8800085/ /pubmed/35029532 http://dx.doi.org/10.2196/23243 Text en ©Ryan Batten, Meshari F Alwashmi, Gerald Mugford, Misa Nuccio, Angele Besner, Zhiwei Gao. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 14.01.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on https://diabetes.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Batten, Ryan
Alwashmi, Meshari F
Mugford, Gerald
Nuccio, Misa
Besner, Angele
Gao, Zhiwei
A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title_full A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title_fullStr A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title_full_unstemmed A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title_short A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis
title_sort 12-month follow-up of the effects of a digital diabetes prevention program (vp transform for prediabetes) on weight and physical activity among adults with prediabetes: secondary analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800085/
https://www.ncbi.nlm.nih.gov/pubmed/35029532
http://dx.doi.org/10.2196/23243
work_keys_str_mv AT battenryan a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT alwashmimesharif a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT mugfordgerald a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT nucciomisa a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT besnerangele a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT gaozhiwei a12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT battenryan 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT alwashmimesharif 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT mugfordgerald 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT nucciomisa 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT besnerangele 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis
AT gaozhiwei 12monthfollowupoftheeffectsofadigitaldiabetespreventionprogramvptransformforprediabetesonweightandphysicalactivityamongadultswithprediabetessecondaryanalysis