The DOI matches its Crossref record, with a small difference in title or year; 18 of the 18 references it cites were found in a registry or an index.
Translating the Diabetes Prevention Program into an Online Social Network: Validation against CDC Standards
Open accessAbstract
Purpose: The purpose of this study was to evaluate the efficacy of Prevent, an online social network-based translation of the Diabetes Prevention Program (DPP) lifestyle intervention, against the Centers for Disease Control and Prevention (CDC) Diabetes Prevention and Recognition Program (DPRP) outcome standards and weight loss outcomes of other DPP translations. Methods: Two hundred twenty participants previously diagnosed with prediabetes were recruited online and enrolled in Prevent, a DPP-based group lifestyle intervention that integrates a private online social network, weekly lessons, health coaching, and a wireless scale and pedometer. Participants underwent a core 16-week intensive lifestyle change intervention and were then offered to continue with a post-core lifestyle change maintenance intervention, with the entire intervention (core plus post-core) totaling 12 months. Results: One hundred eighty-seven participants met inclusion criteria for the core program and achieved an average of 5.0% and 4.8% weight loss at 16 weeks and 12 months, respectively. They also had a 0.37% reduction in their A1C level at final measurement. One hundred forty-four of these same participants also met inclusion criteria for the post-core program and achieved an average of 5.4% and 5.2% weight loss at 16 weeks and 12 months, respectively, and a 0.40% reduction in A1C at final measurement. Conclusion: Results indicate that Prevent meets CDC DPRP outcome standards for diabetes prevention programs and performs favorably to other DPP translations. Considering national initiatives to address the obesity and diabetes epidemics, online delivery platforms like Prevent offer an effective and scalable solution.
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“Among the general adult population with either prediabetes or CVD risk factors, this IBC reduced average body weight approximately 4–6% (depending on level of program participation and demographics of the participants) and reduced average hemoglobin A1c levels approximately 0.4% [13,15].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [15]
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“Previous work has found that IBC intervention, including NDPP, among overweight and obese adults with prediabetes and CVD risk factors can improve clinical measures, prevent or delay disease onset, reduce medical expenditures, and increase productivity (in the form of higher labor force participation and lower work absenteeism) [1–6,13–15,19].”
From Clinical and Economic Impact of a Digital, Remotely-Delivered Intensive Behavioral Counseling Program on Medicare Beneficiaries at Risk for Diabetes and Cardiovascular Disease (2016) · cites this paper as [15]
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“A digital, remotely-delivered IBC program that is an enhanced version of the original NDPP demonstrated clinical efficacy [13–16].”
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“Some programs aim to treat prediabetes and prevent progression to diabetes, often following the model of the Diabetes Prevention Program (264,265).”
From 7. Diabetes Technology: Standards of Care in Diabetes—2025 (2025) · cites this paper as [264]
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Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Diabetes Prevention Program Research Group (2009) · The Lancet · doi:10.1016/s0140-6736(09)61457-4 · Cited by 3,020
Tate, D. F., Jackvony, E. H., & Wing, R. R. (2003) · JAMA · doi:10.1001/jama.289.14.1833 · Cited by 666
Ali, M. K., Echouffo-Tcheugui, J. B., & Williamson, D. F. (2012) · Health Affairs · doi:10.1377/hlthaff.2011.1009 · Cited by 594
Gerstein, H. C., Santaguida, P., Raina, P., Morrison, K. M., Balion, C., Hunt, D., Yazdi, H., & Booker, L. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.05.004 · Cited by 575
Dunkley, A. J., Bodicoat, D. H., Greaves, C. J., Russell, C., Yates, T., Davies, M. J., & Khunti, K. (2014) · Diabetes Care · doi:10.2337/dc13-2195 · Cited by 542
Cost-Effectiveness of Interventions to Prevent and Control Diabetes Mellitus: A Systematic Review
Li, R., Zhang, P., Barker, L. E., Chowdhury, F. M., & Zhang, X. (2010) · Diabetes Care · doi:10.2337/dc10-0843 · Cited by 491
The 10-Year Cost-Effectiveness of Lifestyle Intervention or Metformin for Diabetes Prevention
The Diabetes Prevention Program Research Group (2012) · Diabetes Care · doi:10.2337/dc11-1468 · Cited by 436
Translating the Diabetes Prevention Program Lifestyle Intervention for Weight Loss Into Primary Care
Ma, J., Yank, V. A., Xiao, L., Lavori, P. W., Wilson, S. R., Rosas, L. G., & Stafford, R. S. (2012) · JAMA Internal Medicine · doi:10.1001/2013.jamainternmed.987 · Cited by 316
Preventing Type 2 Diabetes in Communities Across the U.S.
Albright, A. L., & Gregg, E. W. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.12.009 · Cited by 315
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- 10.2337/dc11-1468 · DOI · Paper page
- Herman WH, 2013, Am J Manag Care, 19, 194
- Weinstock RS, Paper presented at: The American Diabetes Association’s 72nd Scientific Sessions
- Vanderwood KK, Paper presented at: The American Diabetes Association’s 73rd Scientific Sessions;
Cited by
Sorted by citations
Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report
Evert, A. B., Dennison, M., Gardner, C. D., Garvey, W. T., Lau, K. H. K., MacLeod, J., Mitri, J., Pereira, R. F., Rawlings, K., Robinson, S., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0014 · Cited by 1,496
Balk, E. M., Earley, A., Raman, G., Avendano, E. A., Pittas, A. G., & Remington, P. L. (2015) · Annals of Internal Medicine · doi:10.7326/m15-0452 · Cited by 371
7. Diabetes Technology: Standards of Medical Care in Diabetes—2022
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s007 · Cited by 358
7. Diabetes Technology: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., Ekhlaspour, L., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s007 · Cited by 348
A systematic review of real-world diabetes prevention programs: learnings from the last 15 years
Aziz, Z., Absetz, P., Oldroyd, J. C., Pronk, N. P., & Oldenburg, B. F. (2015) · Implementation Science · doi:10.1186/s13012-015-0354-6 · Cited by 318
Metadata
- Authors
- Sepah, S. C., Jiang, L., & Peters, A. L.
- Affiliations
- University of Southern California (US)
- Venue
- The Diabetes Educator
- Publisher
- SAGE Publications
- Published
- 2014-04-10
- Volume
- 40
- Issue
- 4
- Pages
- 435-443
- ISSN
- 0145-7217 (ISSN-L)
- 1554-6063
- OpenAlex
- W2051112888
- Cited by
- 139
- References
- 18
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 14 · 2023: 11 · 2022: 20 · 2021: 11 · 2020: 11 · 2019: 9 · 2018: 13 · 2017: 24 · 2016: 14 · 2015: 7
- FWCI
- 12.06
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- The Science of Diabetes Self-Management and Care (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- Diabetes Prevention Program, prediabetes, lifestyle intervention, weight loss, HbA1c reduction, health coaching, pedometers, diabetes prevention
- MeSH terms
- Adult, Behavior Therapy, Centers for Disease Control and Prevention, U.S., Diabetes Mellitus, Type 2, Female, Health Promotion, Glycated Hemoglobin, Humans, Life Style, Male, Middle Aged, Prediabetic State, Risk Factors, Social Support, Translations, United States, Program Evaluation, Weight Loss, Telemedicine, Risk Reduction Behavior, Non-Randomized Controlled Trials as Topic
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