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Research ArticleOriginal Research

DPPFit: Developing and Testing a Technology-Based Adaptation of the Diabetes Prevention Program (DPP) to Address Prediabetes in a Primary Care Setting

Jessica L. Stewart, Christos Hatzigeorgiou, Catherine L. Davis and Christy J. W. Ledford
The Journal of the American Board of Family Medicine May 2022, 35 (3) 548-558; DOI: https://doi.org/10.3122/jabfm.2022.03.210415
Jessica L. Stewart
From the Division of Epidemiology, Department of Population Health Sciences, Augusta University, Augusta, GA (JLS); General Internal Medicine, Department of Medicine, Medical College of Georgia, Augusta University (CH); Georgia Prevention Institute, Medical College of Georgia, Augusta University (CLD); Department of Family Medicine, Medical College of Georgia at Augusta University (CWL).
PhD, MPH
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Christos Hatzigeorgiou
From the Division of Epidemiology, Department of Population Health Sciences, Augusta University, Augusta, GA (JLS); General Internal Medicine, Department of Medicine, Medical College of Georgia, Augusta University (CH); Georgia Prevention Institute, Medical College of Georgia, Augusta University (CLD); Department of Family Medicine, Medical College of Georgia at Augusta University (CWL).
DO
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Catherine L. Davis
From the Division of Epidemiology, Department of Population Health Sciences, Augusta University, Augusta, GA (JLS); General Internal Medicine, Department of Medicine, Medical College of Georgia, Augusta University (CH); Georgia Prevention Institute, Medical College of Georgia, Augusta University (CLD); Department of Family Medicine, Medical College of Georgia at Augusta University (CWL).
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Christy J. W. Ledford
From the Division of Epidemiology, Department of Population Health Sciences, Augusta University, Augusta, GA (JLS); General Internal Medicine, Department of Medicine, Medical College of Georgia, Augusta University (CH); Georgia Prevention Institute, Medical College of Georgia, Augusta University (CLD); Department of Family Medicine, Medical College of Georgia at Augusta University (CWL).
PhD
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References

  1. 1.↵
    International Diabetes Federation. IDF Diabetes Atlas, 9th Ed. Brussels, Belgium; In I. Edition (Ed.). 2019.
  2. 2.↵
    1. Saeedi P,
    2. Petersohn I,
    3. Salpea P,
    4. et al
    ; IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas. Diabetes Res Clin Pract 2019;157:107843.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Pan X-R,
    2. Li G-W,
    3. Hu Y-H,
    4. Wang J-X,
    5. et al
    . Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study. Diabetes Care 1997;20:537–44.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    1. Tuomilehto J,
    2. Lindström J,
    3. Eriksson JG,
    4. et al
    . Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;344:1343–50.
    OpenUrlCrossRefPubMedWeb of Science
  5. 5.↵
    1. Knowler WC,
    2. Barrett-Connor E,
    3. Fowler SE,
    4. et al
    ; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393–403.
    OpenUrlCrossRefPubMedWeb of Science
  6. 6.↵
    1. Hamman RF,
    2. Wing RR,
    3. Edelstein SL,
    4. et al
    ; for the Diabetes Prevention Program Research Group. Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care 2006;29:2102–7.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    Centers for Disease Control and Prevention. About the National DPP. Available at https://www.cdc.gov/diabetes/prevention/about.htm. Accessed December 21, 2021.
  8. 8.↵
    Centers for Disease Control and Prevention. 2021. Diabetes Prevention Recognition Program standards and operating procedures. Available at https://www.cdc.gov/diabetes/prevention/pdf/dprp-standards.pdf. Accessed January 5, 2022.
  9. 9.↵
    1. Whittemore R
    . A systematic review of the translational research on the Diabetes Prevention Program. Transl Behav Med 2011;1:480–91.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Aziz Z,
    2. Absetz P,
    3. Oldroyd J,
    4. Pronk NP,
    5. Oldenburg B
    . A systematic review of real-world diabetes prevention programs: learnings from the last 15 years. Implement Sci 2015;10:172.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Ali MK,
    2. Echouffo-Tcheugui JB,
    3. Williamson DF
    . How effective were lifestyle interventions in real-world settings that were modeled on the Diabetes Prevention Program? Health Aff (Millwood) 2012;31:67–75.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Bandura A
    . Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev 1977;84:191–215.
    OpenUrlCrossRefPubMedWeb of Science
  13. 13.↵
    1. Rosenstock IM,
    2. Strecher VJ,
    3. Becker MH
    . Social learning theory and the Health Belief Model. Health Education Q 1988;15:175–83.
    OpenUrlCrossRefPubMedWeb of Science
  14. 14.↵
    1. Cadmus-Bertram LA,
    2. Marcus BH,
    3. Patterson RE,
    4. Parker BA,
    5. Morey BL
    . Randomized trial of a Fitbit-based physical activity intervention for women. Am J Prev Med 2015;49:414–8.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Coughlin SS,
    2. Stewart J
    . Department of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA,. Use of consumer wearable devices to promote physical activity: a review of health intervention studies. JEHS 2016;2:1–6.
    OpenUrl
  16. 16.↵
    1. Wang JB,
    2. Cataldo JK,
    3. Ayala GX,
    4. et al
    . Mobile and wearable device features that matter in promoting physical activity. J Mob Technol Med 2016;5:2–11.
    OpenUrl
  17. 17.↵
    1. Yingling LR,
    2. Brooks AT,
    3. Wallen GR,
    4. et al
    . Community engagement to optimize the use of web-based and wearable technology in a cardiovascular health and needs assessment study: a mixed methods approach. JMIR mHealth uHealth 2016;4:e38.
    OpenUrl
  18. 18.↵
    1. Shan R,
    2. Sarkar S,
    3. Martin SS
    . Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62:877–87.
    OpenUrlPubMed
  19. 19.↵
    1. Allet L,
    2. Knols RH,
    3. Shirato K,
    4. de Bruin ED
    . Wearable systems for monitoring mobility-related activities in chronic disease: a systematic review. Sensors (Basel) 2010;10:9026–52.
    OpenUrl
  20. 20.↵
    American Diabetes Association. Standards of Med Care in Diabetes–2019. Diabetes Care 2019: 42 (Supplement 1).
  21. 21.↵
    1. Craig CL,
    2. Marshall AL,
    3. Sjöström M,
    4. et al
    . International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95.
    OpenUrlCrossRefPubMedWeb of Science
  22. 22.↵
    1. Lindström J,
    2. Tuomilehto J
    . The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003;26:725–31.
    OpenUrlAbstract/FREE Full Text
  23. 23.↵
    1. Saaristo T,
    2. Peltonen M,
    3. Lindström J,
    4. et al
    . Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res 2005;2:67–72.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Nilsen V,
    2. Bakke PS,
    3. Rohde G,
    4. Gallefoss F
    . Predictors of health-related quality of life changes after lifestyle intervention in persons at risk of type 2 diabetes mellitus. Qual Life Res 2014;23:2585–93.
    OpenUrl
  25. 25.↵
    1. Cardona-Morrell M,
    2. Rychetnik L,
    3. Morrell SL,
    4. Espinel PT,
    5. Bauman A
    . Reduction of diabetes risk in routine clinical practice: are physical activity and nutrition interventions feasible and are the outcomes from reference trials replicable? A systematic review and meta-analysis. BMC Public Health 2010;10:653.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Dunkley AJ,
    2. Bodicoat DH,
    3. Greaves CJ,
    4. et al
    . Diabetes prevention in the real world: effectiveness of pragmatic lifestyle interventions for the prevention of type 2 diabetes and of the impact of adherence to guideline recommendations: a systematic review and meta-analysis. Diabetes Care 2014;37:922–33.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Baker MK,
    2. Simpson K,
    3. Lloyd B,
    4. Bauman AE,
    5. Singh MA
    . Behavioral strategies in diabetes prevention programs: a systematic review of randomized controlled trials. Diabetes Res Clin Pract 2011;91:1–12.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Edwardson CL,
    2. Gorely T,
    3. Davies MJ,
    4. et al
    . Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS one 2012;7:e34916.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Helmerhorst HJ,
    2. Wijndaele K,
    3. Brage S,
    4. Wareham NJ,
    5. Ekelund U
    . Objectively measured sedentary time may predict insulin resistance independent of moderate-and vigorous-intensity physical activity. Diabetes 2009;58:1776–9.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Rockette-Wagner B,
    2. Edelstein S,
    3. Venditti EM,
    4. et al
    ; Diabetes Prevention Program Research Group. The impact of lifestyle intervention on sedentary time in individuals at high risk of diabetes. Diabetologia 2015;58:1198–202.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Howe DC,
    2. Chauhan RS,
    3. Soderberg AT,
    4. Buckley MR
    . Paradigm shifts caused by the COVID-19 pandemic. Organ Dyn 2021;50:100804.
    OpenUrl
  32. 32.↵
    1. DeVoe JE,
    2. Bazemore A
    . Primary care in the COVID-19 pandemic: essential, and inspiring. J Am Board Fam Med 2021;34:S1–6.
    OpenUrlFREE Full Text
  33. 33.↵
    1. Silver SL,
    2. Lewis MN,
    3. Ledford CJ
    . A stepwise transition to telemedicine in response to COVID-19. J Am Board Fam Med 2021;34:S152–61.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    Centers for Disease Control and Prevention. Diabetes prevention impact toolkit. Available at https://nccd.cdc.gov/toolkit/diabetesimpact. Accessed January 5, 2022.
  35. 35.↵
    1. Coughlin SS,
    2. Stewart JL
    . Toward research-tested mobile health interventions to prevent diabetes and cardiovascular disease among persons with pre-diabetes. J Hosp Manag Health Policy 2017;1:7.
    OpenUrl
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The Journal of the American Board of Family Medicine: 35 (3)
The Journal of the American Board of Family Medicine
Vol. 35, Issue 3
May/June 2022
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DPPFit: Developing and Testing a Technology-Based Adaptation of the Diabetes Prevention Program (DPP) to Address Prediabetes in a Primary Care Setting
Jessica L. Stewart, Christos Hatzigeorgiou, Catherine L. Davis, Christy J. W. Ledford
The Journal of the American Board of Family Medicine May 2022, 35 (3) 548-558; DOI: 10.3122/jabfm.2022.03.210415

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DPPFit: Developing and Testing a Technology-Based Adaptation of the Diabetes Prevention Program (DPP) to Address Prediabetes in a Primary Care Setting
Jessica L. Stewart, Christos Hatzigeorgiou, Catherine L. Davis, Christy J. W. Ledford
The Journal of the American Board of Family Medicine May 2022, 35 (3) 548-558; DOI: 10.3122/jabfm.2022.03.210415
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Keywords

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