The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index.
Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update
Open accessAbstract
Objective: Translations of the Diabetes Prevention Program (DPP) have proliferated in recent years, with increasing expansion to digital formats. Although these DPP translations have consistently shown favorable clinical outcomes, long-term data for digital formats are limited. This study’s objective was to examine clinical outcomes up to 3 years post-baseline and the relationship between program engagement and clinical outcomes in a digital DPP. Research design and methods: In a single-arm, non-randomized trial, 220 patients previously diagnosed with prediabetes were enrolled in the Omada Health Program, a commercially available, 16-week DPP-based weight loss intervention followed by an ongoing weight maintenance intervention. Changes in body weight and A1c were assessed annually. Relationships between program engagement during the first year and clinical outcomes across 3 years were examined. Results: Participants were socioeconomically diverse (62% women, 50.2% non-Hispanic white, 51.7% college educated or higher). From baseline to 3 years, those participants who completed four or more lessons and nine or more lessons achieved significant sustained weight loss (–3.0% and –2.9%, respectively) and an absolute reduction in A1c (–0.31 and –0.33, respectively) with an average remission from the prediabetes range to the normal glycemic range. Factor analysis of engagement metrics during the first year revealed two underlying dimensions, one comprising lesson completion and health behavior tracking consistency, and the other comprising website logins and group participation. When these two factors were used to predict weight loss, only the logins and group participation factor was a significant predictor of weight loss at 16 weeks and 1 year. Conclusions: This study demonstrates significant long-term reductions in body weight and A1c in a digital DPP and identifies patterns of program engagement that predict weight loss.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Omada Health’s outcomes are more centered on diabetes prevention, focusing on weight reduction and lowering the risk of developing T2D (30).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [30]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The DT technology offers a unique and comprehensive approach to diabetes management, setting itself apart from other digital tools such as Livongo (29), Omada Health (30), One Drop (31), and mySugr (32).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [30]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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 · cited 4×
“The program consisted of (1) one year of a behavior change curriculum(35) approved by the CDC DPRP; (2) technology-enabled tools to track nutritional intake, physical activity, and body weight; (3) personalized health coaching; and (4) small group support.”
InfluentialA First Course in Factor Analysis
Comrey, A. L., & Lee, H. B. (2013) · doi:10.4324/9781315827506 · Cited by 4,546
Diabetes Prevention Program Research Group (2009) · The Lancet · doi:10.1016/s0140-6736(09)61457-4 · Cited by 3,020
The Diabetes Prevention Program (DPP)
The Diabetes Prevention Program (DPP) Research Group (2002) · Diabetes Care · doi:10.2337/diacare.25.12.2165 · Cited by 1,938
Ramachandran, A., Snehalatha, C., Mary, S., Mukesh, B., Bhaskar, A. D., Vijay, V., & Indian Diabetes Prevention Programme (IDPP) (2006) · Diabetologia · doi:10.1007/s00125-005-0097-z · Cited by 1,881
The Finnish Diabetes Prevention Study (DPS)
Lindström, J., Louheranta, A., Mannelin, M., Rastas, M., Salminen, V., Eriksson, J., Uusitupa, M., Tuomilehto, J., & for the Finnish Diabetes Prevention Study Group (2003) · Diabetes Care · doi:10.2337/diacare.26.12.3230 · Cited by 1,848
(2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00291-0 · Cited by 1,029
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
Wu, T., Gao, X., Chen, M., & Van Dam, R. M. (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00547.x · Cited by 515
Meta-analysis: The Effect of Dietary Counseling for Weight Loss
Dansinger, M. L., Tatsioni, A., Wong, J. B., Chung, M., & Balk, E. M. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-1-200707030-00007 · Cited by 467
Tate, D. F., Jackvony, E. H., & Wing, R. R. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.15.1620 · Cited by 427
Food safety knowledge, attitudes and practices of institutional food-handlers in Ghana
Akabanda, F., Hlortsi, E. H., & Owusu-Kwarteng, J. (2017) · BMC Public Health · doi:10.1186/s12889-016-3986-9 · Cited by 375
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
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
Cotter, A. P., Durant, N., Agne, A. A., & Cherrington, A. L. (2014) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2013.07.003 · Cited by 239
Sepah, S. C., Jiang, L., & Peters, A. L. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4052 · Cited by 206
Self-citationA Novel Diabetes Prevention Intervention Using a Mobile App
Fukuoka, Y., Gay, C. L., Joiner, K. L., & Vittinghoff, E. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.01.003 · Cited by 204
Ockene, I. S., Tellez, T. L., Rosal, M. C., Reed, G. W., Mordes, J., Merriam, P. A., Olendzki, B. C., Handelman, G., Nicolosi, R., & Ma, Y. (2012) · American Journal of Public Health · doi:10.2105/ajph.2011.300357 · Cited by 201
Fisher, E. B., Boothroyd, R. I., Elstad, E. A., Hays, L., Henes, A., Maslow, G. R., & Velicer, C. (2017) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-017-0042-3 · Cited by 196
A systematic review of peer-supported interventions for health promotion and disease prevention
Ramchand, R., Ahluwalia, S. C., Xenakis, L., Apaydin, E., Raaen, L., & Grimm, G. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.06.008 · Cited by 183
A systematic review of the translational research on the Diabetes Prevention Program
Whittemore, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0062-y · Cited by 173
Baker, M. K., Simpson, K. A., Lloyd, B. D., Bauman, A. E., & Singh, M. A. F. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.06.030 · Cited by 161
Translating the Diabetes Prevention Program Into American Indian and Alaska Native Communities
Jiang, L., Manson, S. M., Beals, J., Henderson, W. G., Huang, H., Acton, K. J., Roubideaux, Y. D., & the Special Diabetes Program for Indians Diabetes Prevention Demonstration Project (2012) · Diabetes Care · doi:10.2337/dc12-1250 · Cited by 155
Self-citationMudaliar, U., Zabetian, A., Goodman, M., Echouffo-Tcheugui, J. B., Albright, A. L., Gregg, E. W., & Ali, M. K. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002095 · Cited by 146
Chin, S. O., Keum, C., Woo, J., Park, J., Choi, H. J., Woo, J., & Rhee, S. Y. (2016) · Scientific Reports · doi:10.1038/srep34563 · Cited by 143
Sepah, S. C., Jiang, L., & Peters, A. L. (2014) · The Diabetes Educator · doi:10.1177/0145721714531339 · Cited by 139
Self-citationCastro Sweet, C. M., Chiguluri, V., Gumpina, R., Abbott, P., Madero, E. N., Payne, M., Happe, L., Matanich, R., Renda, A., & Prewitt, T. (2018) · Journal of Aging and Health · doi:10.1177/0898264316688791 · Cited by 130
Sakane, N., Sato, J., Tsushita, K., Tsujii, S., Kotani, K., Tsuzaki, K., Tominaga, M., Kawazu, S., Sato, Y., Usui, T., et al. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-40 · Cited by 128
Michaelides, A., Raby, C., Wood, M., Farr, K., & Toro-Ramos, T. (2016) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2016-000264 · Cited by 128
Leahey, T. M., & Wing, R. R. (2012) · Obesity · doi:10.1002/oby.20271 · Cited by 111
The effect of technology-mediated diabetes prevention interventions on weight: a meta-analysis
Bian, R. R., Piatt, G. A., Sen, A., Plegue, M. A., De Michele, M. L., Hafez, D., Czuhajewski, C. M., Buis, L. R., Kaufman, N., & Richardson, C. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.4709 · Cited by 99
Weight Loss Success in Metabolic Syndrome by Telephone Interventions: Results from the SHINE Study
Weinstock, R. S., Trief, P. M., Cibula, D. A., Morin, P. C., & Delahanty, L. M. (2013) · Journal of General Internal Medicine · doi:10.1007/s11606-013-2529-7 · Cited by 75
Gilis‐Januszewska, A., Lindström, J., Tuomilehto, J. O., Piwońska‐Solska, B., Topór‐Mądry, R., Szybiński, Z., Peltonen, M., Schwarz, P. E. H., Windak, A., & Hubalewska–Dydejczyk, A. (2017) · BMC Public Health · doi:10.1186/s12889-017-4104-3 · Cited by 72
The Effectiveness of Two Community-Based Weight Loss Strategies among Obese, Low-Income US Latinos
Rosas, L. G., Thiyagarajan, S., Goldstein, B. A., Drieling, R. L., Romero, P. P., Ma, J., Yank, V. A., & Stafford, R. S. (2015) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.10.020 · Cited by 67
Efficacy of the Type 2 Diabetes Prevention Using LifeStyle Education Program RCT
Aguiar, E. J., Morgan, P. J., Collins, C. E., Plotnikoff, R. C., Young, M. D., & Callister, R. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.08.020 · Cited by 66
Azar, K. M. J., Aurora, M., Wang, E. J., Muzaffar, A., Pressman, A., & Palaniappan, L. P. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0296-6 · Cited by 59
Kim, H., Faw, M. H., & Michaelides, A. P. (2017) · Journal of Health Communication · doi:10.1080/10810730.2017.1296510 · Cited by 57
Moncrieft, A. E., Llabre, M. M., McCalla, J. R., Gutt, M., Mendez, A. J., Gellman, M. D., Goldberg, R. B., & Schneiderman, N. (2016) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000348 · Cited by 50
Adherence as a predictor of weight loss in a commonly used smartphone application
Jacobs, S., Radnitz, C. L., & Hildebrandt, T. (2016) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2016.05.001 · Cited by 47
Leahey, T. M., Fava, J. L., Seiden, A., Fernandes, D. R., Doyle, C. Y., Kent, K., Rue, M. L., Mitchell, M., & Wing, R. R. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.04.013 · Cited by 44
Su, W., Chen, F., Dall, T. M., Iacobucci, W., & Perreault, L. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.150357 · Cited by 35
Painter, S. L., Ditsch, G., Ahmed, R., Hanson, N. B., Kachin, K., & Berger, J. E. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5873 · Cited by 17
Sherifali, D., Hess, R., McTigue, K. M., Brozic, A., Ng, K., & Gerstein, H. C. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0278 · Cited by 12
Research works printed but not linked: 1
- Institute for Clinical and Economic Review. Diabetes prevention programs: effectiveness and value (final evidence report and meeting summary). 2016 https://icer-review.org/material/final-report-dpp/.
Cited by
Sorted by citations
Results From a Trial of an Online Diabetes Prevention Program Intervention
Moin, T., Damschroder, L. J., AuYoung, M., Maciejewski, M. L., Havens, K. L., Ertl, K., Vasti, E. C., Weinreb, J. E., Steinle, N., Billington, C. J., et al. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.06.028 · Cited by 111
Reviewing U.S. connected diabetes care: the newest member of the team
Levine, B. J., Close, K. L., & Gabbay, R. A. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0273 · Cited by 66
Digital coaching strategies to facilitate behavioral change in type 2 diabetes: a systematic review
Gershkowitz, B. D., Hillert, C. J., & Crotty, B. H. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa850 · Cited by 67
The emerging world of digital therapeutics
Makin, S. J. (2019) · Nature · doi:10.1038/d41586-019-02873-1 · Cited by 67
Jiang, L., Johnson, A., Pratte, K., Beals, J., Bullock, A. K., Manson, S. M., & Program, T. S. D. P. F. I. D. P. (2018) · Diabetes Care · doi:10.2337/dc17-2685 · Cited by 69
Self-citation
Metadata
- Authors
- Sepah, S. C., Jiang, L., Ellis, R. J., McDermott, K., & Peters, A. L.
- Affiliations
- University of California, San Francisco (US)
- University of California, Irvine (US)
- Medical Affairs, Omada Health, San Francisco, California, USA
- Dominican University of California (US)
- University of Southern California (US)
- Corresponding author
- Sepah, S Cameron
- Venue
- BMJ Open Diabetes Research & Care
- Publisher
- BMJ
- Published
- 2017-09
- Volume
- 5
- Issue
- 1
- Pages
- e000422
- ISSN
- 2052-4897 (ISSN-L)
- PMC
- PMC5595194
- OpenAlex
- W2752742138
- Cited by
- 122
- References
- 47
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 23 · 2023: 14 · 2022: 17 · 2021: 22 · 2020: 10 · 2019: 12 · 2018: 6
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open Diabetes Research & Care (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Dominican Scholar (Dominican University of California) (submittedVersion, cc-by-nc)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Center for Complementary and Integrative Health (T32AT003997)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- Diabetes Prevention Program, digital health interventions, prediabetes, weight loss, weight maintenance, glycemic control, HbA1c, program engagement, long-term outcomes, group participation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
