The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

Bian, Rachel R.; Piatt, Gretchen; Sen, Ananda; Plegue, Melissa; Michele, Mariana L De; Hafez, Dina; Czuhajewski, Christina; Buis, Lorraine R; Kaufman, Neal; Richardson, Caroline R.

doi:10.2196/jmir.4709

Cited by 86 publications

(68 citation statements)

References 36 publications

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“…While there has been extensive research on eHealth approaches to diabetes prevention [ 13 , 20 - 24 ], to our knowledge this study is the first fully mobile (mHealth) translation of the DPP with more than 1-year follow-up. This study shows that a fully mobile DPP is similar in producing desired weight loss outcomes in comparison with Web-based or telehealth programs.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the assumption that virtual DPP programs can be just as, or more, effective than in-person DPP programs is supported by virtual DPP research beyond this pilot. A similar single-arm trial resulted in participants losing 7.5% of body weight [ 14 ] while meta-analyses have also shown promising evidence of the efficacy of virtual DPP programs [ 13 , 20 ].…”

Section: Discussionmentioning

confidence: 99%

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Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Michaelides¹,

Major²,

Pienkosz³

et al. 2018

JMIR Mhealth Uhealth

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BackgroundIt is widely recognized that the prevalence of obesity and comorbidities including prediabetes and type 2 diabetes continue to increase worldwide. Results from a 24-week Diabetes Prevention Program (DPP) fully mobile pilot intervention were previously published showing promising evidence of the usefulness of DPP-based eHealth interventions on weight loss.ObjectiveThis pilot study extends previous findings to evaluate weight loss results of core (up to week 16) and maintenance (postcore weeks) DPP interventions at 65 weeks from baseline.MethodsOriginally, 140 participants were invited and 43 overweight or obese adult participants with a diagnosis of prediabetes signed up to receive a 24-week virtual DPP with human coaching through a mobile platform. At 65 weeks, this pilot study evaluates weight loss and engagement in maintenance participants by means of repeated measures analysis of variances and backward multiple linear regression to examine predictors of weight loss. Last observation carried forward was used for endpoint measurements.ResultsAt 65 weeks, mean weight loss was 6.15% in starters who read 1 or more lessons per week on 4 or more core weeks, 7.36% in completers who read 9 or more lessons per week on core weeks, and 8.98% in maintenance completers who did any action in postcore weeks (all P<.001). Participants were highly engaged, with 80% (47/59) of the sample completing 9 lessons or more and 69% (32/47) of those completing the maintenance phase. In-app actions related to self-monitoring significantly predicted weight loss.ConclusionsIn comparison to eHealth programs, this pilot study shows that a fully mobile DPP can produce transformative weight loss. A fully mobile DPP intervention resulted in significant weight loss and high engagement during the maintenance phase, providing evidence for long-term potential as an alternative to in-person DPP by removing many of the barriers associated with in-person and other forms of virtual DPP.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Michaelides¹,

Major²,

Pienkosz³

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Information technology platforms may effectively deliver the core components of the DPP (24-26), lowering weight, reducing risk for diabetes and cardiovascular disease, and achieving cost savings (27,28). Recent studies support content delivery through virtual small groups (29), Internet-driven social networks (30,31), cell phones, and other mobile devices.…”

Section: Technology Assistance To Deliver Lifestyle Interventionsmentioning

confidence: 99%

5. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes—2018

2017

Diabetes Care

151

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The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

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“…Technology may help overcome many of these disparities which prevent the NDPP from reaching its full potential. A meta-analysis of 15 published studies measuring 18 technological interventions between 2002 and 2016 analyzed the role of using technology in diabetes prevention for 2774 individuals [ 15 ]. Program lengths ranged from 12 weeks to 2 years.…”

Section: Discussionmentioning

confidence: 99%

Overcoming the Challenges in Implementing Type 2 Diabetes Mellitus Prevention Programs Can Decrease the Burden on Healthcare Costs in the United States

Subramanian

Midha

Chellapilla

2017

Journal of Diabetes Research

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Theoretically, identifying prediabetics would reduce the diabetic burden on the American healthcare system. As we expect the prevalence rate of prediabetes to continue increasing, we wonder if there is a better way of managing prediabetics and reducing the economic cost on the healthcare system. To do so, understanding the demographics and behavioral factors of known prediabetics was important. For this purpose, responses of prediabetic/borderline diabetes patients from the most recent publicly available 2015 Behavioral Risk Factor Surveillance System (BRFSS) survey were analyzed. The findings showed that there was a correlation between household income, geographic residence in the US, and risk for developing diabetes mellitus type 2, aside from the accepted risk factors such as high BMI. In conclusion, implementation of the National Diabetes Prevention Program is a rational way of reducing the burden of DM on the healthcare system both economically and by prevalence. However, difficulties arise in ensuring patient compliance to the program and providing access to all regions and communities of the United States. Technology incorporation in the NDPP program would maintain a low-cost implementation by the healthcare system, be affordable and accessible for all participants, and decrease economic burden attributed to diabetes mellitus.

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The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

Cited by 86 publications

References 36 publications

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

5. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes—2018

Overcoming the Challenges in Implementing Type 2 Diabetes Mellitus Prevention Programs Can Decrease the Burden on Healthcare Costs in the United States

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