scholarly journals A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis

JMIR Diabetes ◽  
10.2196/13904 ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. e13904 ◽  
Author(s):  
Meshari F Alwashmi ◽  
Gerald Mugford ◽  
Waseem Abu-Ashour ◽  
Misa Nuccio
Keyword(s):  
Prevention Program ◽  
Diabetes Prevention ◽  
Secondary Analysis ◽  
Diabetes Prevention Program

Weight and Physical Activity: a 12-month follow-up of a digital diabetes prevention program (VP Transform for Prediabetes) in adults with prediabetes (Preprint)

2020 ◽  
Author(s):  
Ryan Batten ◽  
Meshari F Alwashmi ◽  
Gerald Mugford ◽  
Misa Muccio ◽  
Angele Besner ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Secondary Analysis ◽  
Diabetes Prevention Program ◽  
Global Scale ◽  
Lifestyle Modifications ◽  
Behavior Tracking

BACKGROUND The prevalence of diabetes increasingly rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications which can prevent or delay the onset of type 2 diabetes among individuals at-risk. Digital DPPs have the potential to utilize technology, in conjunction with behavior change science, to prevent prediabetes on a national and global scale OBJECTIVE The aim of this study was to investigate the effects of a digital DPP (VP Transform for Prediabetes) on weight loss and physical activity among participants who had completed twelve 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. Analysis included data that were collected at baseline and after 12 months of the VP Transform for Prediabetes DPP. RESULTS The sample (N=1,095) comprised people with prediabetes who completed 12 months of the VP Transform for Prediabetes program. Participants included 67.7% female, with a mean age of 53.6 (SD 9.75). On average, participants decreased their weight by 10.9 pounds (5.5%) and increased their physical activity by 91.2 minutes per week. CONCLUSIONS These results suggest that VP Transform for Prediabetes is effective at preventing type 2 diabetes through 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, controlled clinical study is warranted to validate these findings.

scholarly journals Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Megan M MacPherson ◽  
Kohle J Merry ◽  
Sean R Locke ◽  
Mary E Jung
Keyword(s):  
Mobile Health ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Secondary Analysis ◽  
Diabetes Prevention Program ◽  
Exercise Behavior ◽  
Moderate Intensity ◽  
User Engagement ◽  
Self Monitoring ◽  
Exercise Behaviors

BACKGROUND A number of mobile health (mHealth) apps exist that focus specifically on promoting exercise behavior. To increase user engagement, prompts, such as text messages, emails, or push notifications, are often used. To date, little research has been done to understand whether, and for how long, these prompts influence exercise behavior. OBJECTIVE This study aimed to assess the impact of prompts on mHealth self-monitoring and self-reported exercise in the days following a prompt and whether these effects differ based on exercise modality. METHODS Of the possible 99 adults at risk for developing type II diabetes who participated in a diabetes prevention program, 69 were included in this secondary analysis. Participants were randomly assigned to 1 of the following 2 exercise conditions: high-intensity interval training or moderate-intensity continuous training. In the year following a brief, community-based diabetes prevention program involving counseling and supervised exercise sessions, all participants self-monitored their daily exercise behaviors on an mHealth app in which they were sent personalized prompts at varying frequencies. mHealth self-monitoring and self-reported exercise data from the app were averaged over 1, 3, 5, and 7 days preceding and following a prompt and subsequently compared using t tests. RESULTS In the year following the diabetes prevention program, self-monitoring (t68=6.82; P<.001; d=0.46) and self-reported exercise (t68=2.16; P=.03; d=0.38) significantly increased in the 3 days following a prompt compared with the 3 days preceding. Prompts were most effective in the first half of the year, and there were no differences in self-monitoring or self-reported exercise behaviors between exercise modalities (P values >.05). In the first half of the year, self-monitoring was significant in the 3 days following a prompt (t68=8.61; P<.001; d=0.60), and self-reported exercise was significant in the 3 days (t68=3.7; P<.001; d=0.37), 5 days (t67=2.15; P=.04; d=0.14), and 7 days (t68=2.46; P=.02; d=0.15) following a prompt, whereas no significant changes were found in the second half of the year. CONCLUSIONS This study provides preliminary evidence regarding the potential influence of prompts on mHealth self-monitoring and self-reported exercise and the duration for which prompts may be effective as exercise behavior change tools. Future studies should determine the optimal prompting frequency for influencing self-reported exercise behaviors. Optimizing prompt frequency can potentially reduce intervention costs and promote user engagement. Furthermore, it can encourage consumers to self-monitor using mHealth technology while ensuring prompts are sent when necessary and effective. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR2-10.2196/11226

scholarly journals A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis (Preprint)

2019 ◽  
Author(s):  
Meshari F Alwashmi ◽  
Gerald Mugford ◽  
Waseem Abu-Ashour ◽  
Misa Nuccio
Keyword(s):  
Type 2 Diabetes ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Secondary Analysis ◽  
Diabetes Prevention Program ◽  
Global Scale ◽  
Lifestyle Modifications ◽  
Exercise Frequency ◽  
Behavior Tracking

BACKGROUND The prevalence of diabetes is increasing among adults globally. Research has demonstrated that a diabetes prevention program (DPP), which focuses on developing and maintaining health-promoting lifestyle modifications, can prevent or delay the onset of type 2 diabetes among at-risk individuals. The implementation of a digitally adapted DPP has the potential to prevent prediabetes on a national and global scale by using technology and behavior change science. OBJECTIVE This study aimed to investigate the effects of a novel digital therapeutic DPP (Transform) on weight loss, body mass index (BMI), exercise frequency, and work absenteeism. METHODS This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in the Transform DPP from December 2016 to December 2017. 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. The analysis included data that were collected at baseline and after 4 months of the Transform DPP. RESULTS The sample (N=273) comprised people with prediabetes who completed 4 months of the Transform program. Participants included 70.3% women, with a mean age of 54.0 (SD 11.2) years. On average, participants decreased their weight by 13.3 lbs (6.5%) and their BMI by 1.9 kg/m2. On average, participants increased their exercise frequency by 1.7 days per week, and absenteeism was reduced by almost half a day per month. CONCLUSIONS These results suggest that the digital therapeutic DPP (Transform) is effective at preventing type 2 diabetes through a significant reduction in body weight and an increase of physical activity. A prospective, controlled clinical study is warranted to validate these findings.

scholarly journals Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial

10.2196/12956 ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. e12956 ◽  
Author(s):  
Megan M MacPherson ◽  
Kohle J Merry ◽  
Sean R Locke ◽  
Mary E Jung
Keyword(s):  
Mobile Health ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Secondary Analysis ◽  
Diabetes Prevention Program ◽  
Exercise Behavior ◽  
Moderate Intensity ◽  
User Engagement ◽  
Self Monitoring ◽  
Exercise Behaviors

Background A number of mobile health (mHealth) apps exist that focus specifically on promoting exercise behavior. To increase user engagement, prompts, such as text messages, emails, or push notifications, are often used. To date, little research has been done to understand whether, and for how long, these prompts influence exercise behavior. Objective This study aimed to assess the impact of prompts on mHealth self-monitoring and self-reported exercise in the days following a prompt and whether these effects differ based on exercise modality. Methods Of the possible 99 adults at risk for developing type II diabetes who participated in a diabetes prevention program, 69 were included in this secondary analysis. Participants were randomly assigned to 1 of the following 2 exercise conditions: high-intensity interval training or moderate-intensity continuous training. In the year following a brief, community-based diabetes prevention program involving counseling and supervised exercise sessions, all participants self-monitored their daily exercise behaviors on an mHealth app in which they were sent personalized prompts at varying frequencies. mHealth self-monitoring and self-reported exercise data from the app were averaged over 1, 3, 5, and 7 days preceding and following a prompt and subsequently compared using t tests. Results In the year following the diabetes prevention program, self-monitoring (t68=6.82; P<.001; d=0.46) and self-reported exercise (t68=2.16; P=.03; d=0.38) significantly increased in the 3 days following a prompt compared with the 3 days preceding. Prompts were most effective in the first half of the year, and there were no differences in self-monitoring or self-reported exercise behaviors between exercise modalities (P values >.05). In the first half of the year, self-monitoring was significant in the 3 days following a prompt (t68=8.61; P<.001; d=0.60), and self-reported exercise was significant in the 3 days (t68=3.7; P<.001; d=0.37), 5 days (t67=2.15; P=.04; d=0.14), and 7 days (t68=2.46; P=.02; d=0.15) following a prompt, whereas no significant changes were found in the second half of the year. Conclusions This study provides preliminary evidence regarding the potential influence of prompts on mHealth self-monitoring and self-reported exercise and the duration for which prompts may be effective as exercise behavior change tools. Future studies should determine the optimal prompting frequency for influencing self-reported exercise behaviors. Optimizing prompt frequency can potentially reduce intervention costs and promote user engagement. Furthermore, it can encourage consumers to self-monitor using mHealth technology while ensuring prompts are sent when necessary and effective. International Registered Report Identifier (IRRID) DERR2-10.2196/11226

Translating the diabetes prevention program into a hospital-based weight loss program.

2008 ◽  
Vol 27 (1, Suppl) ◽  
pp. S91-S98 ◽  
Author(s):  
Sherry L. Pagoto ◽  
Lyle Kantor ◽  
Jamie S. Bodenlos ◽  
Mitchell Gitkind ◽  
Yunsheng Ma
Keyword(s):  
Weight Loss ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Weight Loss Program

Virtual Diabetes Prevention Program—Effects on Medicare Advantage Health Care Costs and Utilization

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 45-LB
Author(s):  
VINAY CHIGULURI ◽  
DOUGLAS BARTHOLD ◽  
RAJIV GUMPINA ◽  
CYNTHIA CASTRO SWEET ◽  
JASON PIERATT ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Costs ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Medicare Advantage ◽  
Program Effects ◽  
Care Costs

Genetic Markers Explain Differences in HbA1c Levels between African-American (AA) and Non-Hispanic White (NHW) Participants of the Diabetes Prevention Program (DPP)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1704-P
Author(s):  
MARIE-FRANCE HIVERT ◽  
COSTAS A. CHRISTOPHI ◽  
KATHLEEN A. JABLONSKI ◽  
SHARON EDELSTEIN ◽  
STEVEN E. KAHN ◽  
...  
Keyword(s):  
African American ◽  
Genetic Markers ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Hispanic White ◽  
Hba1c Levels

1177-P: Impact of Proactive Strategies by a Large Self-Insured Employer on Engagement in the Diabetes Prevention Program (DPP)

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1177-P
Author(s):  
LAURA N. MCEWEN ◽  
KEVIN JOINER ◽  
RACHEL BERGMANS ◽  
THOMAS E. HURST ◽  
WILLIAM H. HERMAN
Keyword(s):  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program
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