scholarly journals Genetic Predictors of Weight Loss and Weight Regain After Intensive Lifestyle Modification, Metformin Treatment, or Standard Care in the Diabetes Prevention Program

Diabetes Care ◽  
2011 ◽  
Vol 35 (2) ◽  
pp. 363-366 ◽  
Author(s):  
L. M. Delahanty ◽  
Q. Pan ◽  
K. A. Jablonski ◽  
K. E. Watson ◽  
J. M. McCaffery ◽  
...  
PLoS Genetics ◽  
2012 ◽  
Vol 8 (8) ◽  
pp. e1002895 ◽  
Author(s):  
Toni I. Pollin ◽  
Tamara Isakova ◽  
Kathleen A. Jablonski ◽  
Paul I. W. de Bakker ◽  
Andrew Taylor ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
pp. e001132 ◽  
Author(s):  
Stefanie L Painter ◽  
Wei Lu ◽  
Jennifer Schneider ◽  
Roberta James ◽  
Bimal Shah

IntroductionTo investigate the impact of the digital Livongo Diabetes Prevention Program (DPP) on weight at 12 months, understand participants’ self-monitoring behaviors associated with greater weight loss, and evaluate the impact of coaching interactions on more frequent self-monitoring behaviors.Research design and methodsA retrospective analysis was performed using data from 2037 participants enrolled in the Livongo DPP who completed lesson 1 and recorded a starting weight during 2016–2017. Self-monitoring behaviors, including weigh-ins, food logging, activity, and coach–participant interactions, were analyzed at 6 and 12 months. Subgroup analysis was conducted based on those who were highly engaged versus those minimally engaged. Multiple regression analysis was performed using demographic, self-monitoring, and lesson attendance data to determine predictors of weight loss at 12 months and coaching impact on self-monitoring.ResultsParticipants had a mean age of 50 years (SD ±12), with a starting weight of 94 kg (SD ±21), were college-educated (78%), and were female (74%). Overall, participants lost on average 5.1% of their starting weight. Highly engaged participants lost 6.6% of starting body weight, with 25% losing ≥10% at 12 months. Logistic regression analysis showed each submitted food log was associated with 0.23 kg (p<0.05) weight loss, each lesson completed was associated with 0.14 kg (p<0.05) weight loss, and a week of 150 active minutes was associated with 0.1 kg (p<0.01) weight loss. One additional coach–participant message each week was associated with 1.4 more food logs per week, 1.6% increase in weeks with four or more weigh-ins, and a 2.7% increase in weeks with 150 min of activity.ConclusionsFood logging had the largest impact on weight loss, followed by lesson engagement and physical activity. Future studies should examine further opportunities to deliver nutrition-based content to increase and sustain weight loss for DPP.


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

2012 ◽  
Vol 10 (3) ◽  
pp. 143-143
Author(s):  
S. Fuller ◽  
E. Ludman ◽  
A. Mohelnitzky ◽  
G. Gundersen ◽  
R. Wellman ◽  
...  

2017 ◽  
Vol 4 (3) ◽  
pp. 165-166
Author(s):  
Gabriela Vazquez-Benitez ◽  
Jay Desai ◽  
Gretchen Taylor ◽  
Sara Vine ◽  
Julie Anderson ◽  
...  

2018 ◽  
Vol 53 ◽  
pp. 32-37 ◽  
Author(s):  
Carol A. Janney ◽  
Jared M. Greenberg ◽  
Tannaz Moin ◽  
Hyungjin Myra Kim ◽  
Robert G. Holleman ◽  
...  

2020 ◽  
pp. 155982761989725
Author(s):  
Ryan R. Bailey ◽  
Jennifer L. Stevenson ◽  
Simon Driver ◽  
Evan McShan

Objective. History of stroke increases risk for recurrent stroke, which is a significant issue faced by survivors. The Diabetes Prevention Program–Group Lifestyle Balance (DPP-GLB) program is an effective lifestyle modification intervention for ameliorating cardiovascular risk factors but has not been adapted to account for common stroke-related deficits. The purpose of this study was to determine appropriate adaptations to the DPP-GLB for adults with stroke. Design and Methods. In this phenomenological qualitative study, a total of 15 community-dwelling adults with stroke and 10 care-partners participated in 4 focus groups to review DPP-GLB curriculum materials and provide recommendations for adaptation. Focus groups were recorded and transcribed. Inductive content analysis was used to identify key themes. Results. Three themes were identified. First, physical, cognitive, sensory, and psychosocial stroke-related deficits could affect DPP-GLB participation. Second, existing DPP-GLB characteristics could facilitate participation by adults with stroke. Third, stroke-specific adaptations were recommended, including modified session content and format, adapted physical activity and dietary recommendations, and inclusion of care-partners. Conclusion. Current DPP-GLB content and structure may be insufficient to meet the unique needs of adults with stroke. The suggested adaptations should be incorporated into a stroke-specific curriculum and tested for preliminary efficacy for reducing recurrent stroke risk.


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