A National Effort to Prevent Type 2 Diabetes: Participant-Level Evaluation of CDC's National Diabetes Prevention Program
Open accessAbstract
OBJECTIVE: To assess participant-level results from the first 4 years of implementation of the National Diabetes Prevention Program (National DPP), a national effort to prevent type 2 diabetes in those at risk through structured lifestyle change programs. RESEARCH DESIGN AND METHODS: Descriptive analysis was performed on data from 14,747 adults enrolled in year-long type 2 diabetes prevention programs during the period February 2012 through January 2016. Data on attendance, weight, and physical activity minutes were summarized and predictors of weight loss were examined using a mixed linear model. All analyses were performed using SAS 9.3. RESULTS: Participants attended a median of 14 sessions over an average of 172 days in the program (median 134 days). Overall, 35.5% achieved the 5% weight loss goal (average weight loss 4.2%, median 3.1%). Participants reported a weekly average of 152 min of physical activity (median 128 min), with 41.8% meeting the physical activity goal of 150 min per week. For every additional session attended and every 30 min of activity reported, participants lost 0.3% of body weight (P < 0.0001). CONCLUSIONS: During the first 4 years, the National DPP has achieved widespread implementation of the lifestyle change program to prevent type 2 diabetes, with promising early results. Greater duration and intensity of session attendance resulted in a higher percent of body weight loss overall and for subgroups. Focusing on retention may reduce disparities and improve overall program results. Further program expansion and investigation is needed to continue lowering the burden of type 2 diabetes nationally.
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Community-based programs report at least 5% weight loss in 13.5% to 35.5% of participants at 12 months.
“While the original DPP reported at least 5% weight loss in 44% of participants at 12 months, community-based programs report this degree of weight loss in 13.5% to 35.5% of participants.44,45”
From An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial (2025) · cites this paper as [44]
The Results (Table 2) report that 35.5% of participants achieved at least 5% weight loss, supporting the upper end of the range. The Methods say weight loss was calculated from the first to last recorded weights, up to 12 months after baseline—not specifically at 12 months. The supplied passages do not establish the 13.5% lower end. (LLM, conf=0.88)
Experimental — accuracy not yet measuredData from the National DPP database show an average engagement in 14 sessions across in-person programs.
“Data from the National DPP database also show an average engagement in 14 sessions across in-person programs, compared with 17 in this study.20”
From Effects of a Digital Diabetes Prevention Program: An RCT (2022) · cites this paper as [20]
The Results report that participants attended a median of 14 sessions. The Population section says virtual programs had no one-year data in the study period, so the analyzed programs were in person. The claim calls 14 an average, but the paper identifies it as a median, not a mean. (LLM, conf=0.90)
Experimental — accuracy not yet measuredRetention in this therapy was high, exceeding persistence among available lifestyle programs and many pharmaceutical therapies.
“Retention in this therapy was high, exceeding persistence among available lifestyle programs [24,25] and many pharmaceutical therapies [26].”
Population reach increased from about 35,000 eligible participants as of 2016 to over 324,000 by early 2019.
“In turn, population reach has been fast increasing from about 35,000 eligible participants served as of 20163 to over 324,000 by early 2019.10”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [3]
Each session attended is associated with 0.3% more weight loss.
“Improving retention appears key overall to ensuring beneficial weight loss outcomes (e.g., each session attended is associated with 0.3% more weight loss).3”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [3]
Reports show a promising 4.2% mean weight loss for in-person NDPP classes and 4.3% weight loss for virtual programs.
“Reports show a promising 4.2% mean weight loss for in-person NDPP classes3 and 4.3% weight loss for virtual programs.31”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [3]
The National DPP database shows an average of 4.2% weight loss.
“the National DPP database shows an average of 4.2% weight loss.20”
From Effects of a Digital Diabetes Prevention Program: An RCT (2022) · cites this paper as [20]
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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 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · see citing works
Lindström, J., Ilanne-Parikka, P., Peltonen, M., Aunola, S., Eriksson, J. G., Hemiö, K., Hämäläinen, H., Härkönen, P., Keinänen-Kiukaanniemi, S., Laakso, M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69701-8 · Cited by 1,799 · see citing works
Standards of Medical Care in Diabetes 2014
(2014) · Majmaah Journal of Health Sciences · doi:10.12816/0004790 · Cited by 1,478 · see citing works
Effect of weight loss with lifestyle intervention on risk of diabetes
Hamman, R. F., Wing, R. R., Edelstein, S. L., Lachin, J. M., Bray, G. A., Delahanty, L., Hoskin, M., Kriska, A. M., Mayer-Davis, E. J., Pi-Sunyer, X., et al. (2006) · Diabetes Care · doi:10.2337/dc06-0560 · Cited by 1,344 · see citing works
McGuire, S. (2014) · Advances in Nutrition · doi:10.3945/an.114.007211 · Cited by 1,122 · see citing works
Physical Activity/Exercise and Type 2 Diabetes
Sigal, R. J., Kenny, G. P., Wasserman, D. H., & Castaneda-Sceppa, C. (2004) · Diabetes Care · doi:10.2337/diacare.27.10.2518 · Cited by 763 · see citing works
Ali, M. K., Echouffo-Tcheugui, J. B., & Williamson, D. F. (2012) · Health Affairs · doi:10.1377/hlthaff.2011.1009 · Cited by 594 · see citing works
Self-citationAchieving Weight and Activity Goals Among Diabetes Prevention Program Lifestyle Participants
The Diabetes Prevention Program Research Group (2004) · Obesity Research · doi:10.1038/oby.2004.179 · Cited by 529 · see citing works
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 · see citing works
Lifestyle Intervention for Prevention of Type 2 Diabetes in Primary Health Care
Saaristo, T., Moilanen, L., Korpi-Hyövälti, E., Vanhala, M., Saltevo, J., Niskanen, L., Jokelainen, J., Peltonen, M., Oksa, H., Tuomilehto, J., et al. (2010) · Diabetes Care · doi:10.2337/dc10-0410 · Cited by 302 · see citing works
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 299 · see citing works
Self-citationThe prevention of type 2 diabetes
F. T. D. P. P. R. G., Crandall, J. P., Knowler, W. C., Kahn, S. E., Marrero, D., Florez, J. C., Bray, G. A., Haffner, S. M., Hoskin, M., & Nathan, D. M. (2008) · Nature Clinical Practice Endocrinology & Metabolism · doi:10.1038/ncpendmet0843 · Cited by 261 · see citing works
Li, R., Qu, S., Zhang, P., Chattopadhyay, S. K., Gregg, E. W., Albright, A. L., Hopkins, D. P., & Pronk, N. P. (2015) · Annals of Internal Medicine · doi:10.7326/m15-0469 · Cited by 152 · see citing works
Self-citationCost-Effectiveness of Screening for Pre-Diabetes Among Overweight and Obese U.S. Adults
Hoerger, T. J., Hicks, K. A., Sorensen, S. W., Herman, W. H., Ratner, R. E., Ackermann, R. T., Zhang, P., & Engelgau, M. M. (2007) · Diabetes Care · doi:10.2337/dc07-0885 · Cited by 111 · see citing works
Zhuo, X., Zhang, P., Gregg, E. W., Barker, L., Hoerger, T. J., Pearson-Clarke, T., & Albright, A. (2012) · Health Affairs · doi:10.1377/hlthaff.2011.1115 · Cited by 82 · see citing works
Self-citationPronk, N. P., Remington, P., & on behalf of the Community Preventive Services Task Force* (2015) · Annals of Internal Medicine · doi:10.7326/m15-1029 · Cited by 61 · see citing works
Catley, D., Puoane, T. R., Goggin, K., Tsolekile, L. P., Resnicow, K., Fleming, K., Smyth, J. M., Hurley, E. A., Schlachter, S., Vitolins, M. Z., et al. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz187 · Cited by 22 · see citing works
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Cited by
Sorted by citations
Lobelo, F., Rohm Young, D., Sallis, R., Garber, M. D., Billinger, S. A., Duperly, J., Hutber, A., Pate, R. R., Thomas, R. J., Widlansky, M. E., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000559 · Cited by 402 · see citing works
Galaviz, K. I., Weber, M. B., Straus, A., Haw, J. S., Narayan, K. M. V., & Ali, M. K. (2018) · Diabetes Care · doi:10.2337/dc17-2222 · Cited by 289 · see citing works
Self-citationEarly Outcomes From the English National Health Service Diabetes Prevention Programme
Valabhji, J., Barron, E., Bradley, D., Bakhai, C., Fagg, J., O’Neill, S., Young, B., Wareham, N., Khunti, K., Jebb, S., et al. (2020) · Diabetes Care · doi:10.2337/dc19-1425 · Cited by 211 · see citing works
The cost of diabetes care-an elephant in the room
Riddle, M. C., & Herman, W. H. (2018) · Diabetes Care · doi:10.2337/dci18-0012 · Cited by 191 · see citing works
Zhou, X., Siegel, K. R., Ng, B. P., Jawanda, S., Proia, K. K., Zhang, X., Albright, A. L., & Zhang, P. (2020) · Diabetes Care · doi:10.2337/dci20-0018 · Cited by 173 · see citing works
Self-citationAmerican Association of Diabetes Educators (2020) · The Diabetes Educator · doi:10.1177/0145721719894903 · Cited by 184 · see citing works
Cannon, M. J., Masalovich, S., Ng, B. P., Soler, R. E., Jabrah, R., Ely, E. K., & Smith, B. D. (2020) · Diabetes Care · doi:10.2337/dc19-2366 · Cited by 150 · see citing works
Self-citationApolzan, J. W., Venditti, E. M., Edelstein, S. L., Knowler, W. C., Dabelea, D., Boyko, E. J., Pi-Sunyer, X., Kalyani, R. R., Franks, P. W., Srikanthan, P., et al. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1605 · Cited by 156 · see citing works
The Next Generation of Diabetes Translation: A Path to Health Equity
Haire-Joshu, D., & Hill-Briggs, F. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-044158 · Cited by 116 · see citing works
Effects of a Digital Diabetes Prevention Program: An RCT
Katula, J. A., Dressler, E. V., Kittel, C. A., Harvin, L. N., Almeida, F. A., Wilson, K. E., Michaud, T. L., Porter, G. C., Brito, F. A., Goessl, C. L., et al. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.10.023 · Cited by 86 · see citing works
“2% weight loss.(20) Other studies testing dDPPs have reported reductions of HbA1c ranging from 0.”
BackgroundResultEvidence and challenges for translation and population impact of the Diabetes Prevention Program.
Ackermann, R. T., & O’Brien, M. J. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-1293-4 · Cited by 62 · see citing works
Ritchie, N. D., Baucom, K. J., & Sauder, K. A. (2020) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s218334 · Cited by 70 · see citing works
Chao, A. M., Tronieri, J. S., Amaro, A., & Wadden, T. A. (2022) · Drug Design, Development and Therapy · doi:10.2147/dddt.s365416 · Cited by 58 · see citing works
Primary Care Providers’ Prediabetes Screening, Testing, and Referral Behaviors
Nhim, K., Khan, T., Gruss, S. M., Wozniak, G., Kirley, K., Schumacher, P., Luman, E. T., & Albright, A. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.04.017 · Cited by 54 · see citing works
Self-citationWeight loss in a digital app-based diabetes prevention program powered by artificial intelligence.
Graham, S. A., Pitter, V., Hori, J. H., Stein, N., & Branch, O. H. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221130619 · Cited by 43 · see citing works
Mathioudakis, N., Lalani, B., Abusamaan, M. S., Alderfer, M., Alver, D., Dobs, A., Kane, B., McGready, J., Riekert, K., Ringham, B., et al. (2025) · JAMA · doi:10.1001/jama.2025.19563 · Cited by 41 · see citing works
Type 2 Diabetes Prevention Focused on Normalization of Glycemia: A Two-Year Pilot Study
McKenzie, A. L., Athinarayanan, S. J., McCue, J. J., Adams, R. N., Keyes, M., McCarter, J. P., Volek, J. S., Phinney, S. D., & Hallberg, S. J. (2021) · Nutrients · doi:10.3390/nu13030749 · Cited by 37 · see citing works
Harrison, C. R., Phimphasone-Brady, P., DiOrio, B., Raghuanath, S. G., Bright, R., Ritchie, N. D., & Sauder, K. A. (2020) · The Diabetes Educator · doi:10.1177/0145721720920252 · Cited by 35 · see citing works
New Medicare Diabetes Prevention Coverage May Limit Beneficiary Access and Widen Health Disparities
Ritchie, N. D., & Gritz, R. M. (2018) · Medical Care · doi:10.1097/mlr.0000000000000981 · Cited by 35 · see citing works
Evaluation of a Digital Diabetes Prevention Program Adapted for Low-Income Patients, 2016–2018
Kim, S. E., Castro Sweet, C. M., Cho, E., Tsai, J., & Cousineau, M. R. (2019) · Preventing Chronic Disease · doi:10.5888/pcd16.190156 · Cited by 34 · see citing works
Alva, M. L., Chakkalakal, R. J., Moin, T., & Galaviz, K. I. (2022) · Health Affairs · doi:10.1377/hlthaff.2022.00259 · Cited by 33 · see citing works
Digital Health–Supported Lifestyle Change Programs to Prevent Type 2 Diabetes
Kirley, K., & Sachdev, N. (2018) · Diabetes Spectrum · doi:10.2337/ds18-0019 · Cited by 29 · see citing works
Chung, H.-W., Tai, C.-J., Chang, P., Su, W.-L., & Chien, L.-Y. (2023) · JMIR mHealth and uHealth · doi:10.2196/41099 · Cited by 29 · see citing works
McKenzie, A. L., Athinarayanan, S. J., Van Tieghem, M. R., Volk, B. M., Roberts, C. G. P., Adams, R. N., Volek, J. S., Phinney, S. D., & Hallberg, S. J. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111898 · Cited by 25 · see citing works
Ely, E. K., Ng, B. P., & Cannon, M. J. (2023) · Journal of Diabetes Research · doi:10.1155/2023/8894593 · Cited by 20 · see citing works
Self-citationKuo, S., Ye, W., Wang, D., McEwen, L. N., Villatoro Santos, C., & Herman, W. H. (2025) · Diabetes Care · doi:10.2337/dc24-1110 · Cited by 19 · see citing works
Chambers, E. C., Gonzalez, J. S., Marquez, M. E., Parsons, A., & Rehm, C. D. (2019) · The Diabetes Educator · doi:10.1177/0145721719880503 · Cited by 14 · see citing works
Is the Current Lifestyle Modification Approach to Diabetes Prevention in the U.S. a Success?
Echouffo-Tcheugui, J. B., Chakkalakal, R. J., & Ali, M. K. (2025) · Diabetes Care · doi:10.2337/dci24-0040 · Cited by 11 · see citing works
Self-citationFitzpatrick, S. L., Mayhew, M., Rawlings, A. M., Smith, N., Nyongesa, D. B., Vollmer, W. M., Stevens, V. J., Grall, S. K., & Fortmann, S. P. (2022) · Clinical Diabetes · doi:10.2337/cd21-0114 · Cited by 5 · see citing works
- Authors
- Ely, E. K., Gruss, S. M., Luman, E. T., Gregg, E. W., Ali, M. K., Nhim, K., Rolka, D. B., & Albright, A. L.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Ely, Elizabeth K.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-05-12
- Volume
- 40
- Issue
- 10
- Pages
- 1331-1341
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC5606310
- OpenAlex
- W2613516574
- Cited by
- 386
- References
- 19
- Citations by year
- 2026: 33 · 2025: 37 · 2024: 40 · 2023: 48 · 2022: 50 · 2021: 52 · 2020: 40 · 2019: 38 · 2018: 36 · 2017: 12
- FWCI
- 27.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK111024)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- type 2 diabetes prevention, National Diabetes Prevention Program, lifestyle intervention, weight loss, physical activity, session attendance, participant retention, prediabetes, program implementation, health disparities
- MeSH terms
- Diet, Healthy, Adolescent, Adult, Aged, Body Weight, Centers for Disease Control and Prevention, U.S., Diabetes Mellitus, Type 2, Female, Health Promotion, Humans, Life Style, Male, Middle Aged, United States, Cohort Studies, Weight Loss, Health Behavior, Exercise, Body Mass Index, Young Adult
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