King H, Aubert RE, Herman WH. Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998;21(9):1414–31.
Article
CAS
PubMed
Google Scholar
Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94:311–21.
Article
PubMed
Google Scholar
Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137–49.
Article
CAS
PubMed
Google Scholar
Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–53.
Article
PubMed
Google Scholar
Narayan KMV, Chan J, Mohan V. Early identification of type 2 diabetes: policies should be aligned with health systems strengthening. Diabetes Care. 2011;34(1):244–6.
Article
PubMed
PubMed Central
Google Scholar
Yip WCY, Sequeira IR, Plank LD, Poppitt SD. Prevalence of pre-diabetes across ethnicities: a review of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) for classification of Dysglycaemia. Nutrients. 2017;9(11):1273.
Article
PubMed Central
CAS
Google Scholar
Marrero D. The prevention of type 2 diabetes: an overview. J Diabetes Sci Technol. 2009;3:756–60.
Article
PubMed
PubMed Central
Google Scholar
Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, 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(6):393–403.
Article
CAS
PubMed
Google Scholar
Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001;344(18):1343–50.
Article
CAS
PubMed
Google Scholar
Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, 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(4):537–44.
Article
CAS
PubMed
Google Scholar
Ramachandran A, Snehalatha C, Mary S, Mukesh B, et al. The Indian diabetes prevention programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006;49(2):289–97.
Article
CAS
PubMed
Google Scholar
Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the diabetes prevention program outcomes study. Lancet. 2009;374(9702):1677–86.
Article
PubMed Central
Google Scholar
Chen Y, Wang J, An Y, Gong Q, He Y, Zhang B, Li H, Shuai Y, Tang X, Jiang Y, Hong J, Yang W, Hu Y, Li G(1). [Effect of lifestyle interventions on reduction of cardiovascular disease events and its mortality in pre-diabetic patients: long-term follow-up of Da Qing Diabetes Prevention Study]. Zhonghua Nei Ke Za Zhi. 2015;54(1):13–7.
Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, et al. Prevalence of diabetes among men and women in China. N Engl J Med. 2010;362:1090–101.
Article
CAS
PubMed
Google Scholar
Sicree R, Shaw J, Zimmet P. Diabetes and impaired glucose tolerance. In: Gan D, editor. Diabetes Atlas. 3. International Diabetes Federation: Brussels; 2006.
Google Scholar
WHO. Global report on diabetes. Geneva: WHO; 2016.
Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. In: Gan D, editor. Diabetes Atlas. 3. International Diabetes Federation: Brussels; 2006.
Google Scholar
Morton DP, Rankin PM, Kent LM, Dysinger W. The complete health improvement program (CHIP): history, evaluation, and outcomes. Am J Lifestyle Med. 2014;10(1):64–73.
Article
PubMed
PubMed Central
Google Scholar
Rankin P, Morton DP, Diehl H, Gobble J, Morey P, Chang E. Effectiveness of a volunteer-delivered lifestyle modification program for reducing cardiovascular disease risk factors. Am J Cardiol. 2012;109(1):82–6.
Article
PubMed
Google Scholar
Dunkley AJ, Bodicoat DH, Greaves CJ, Russell C, Yates T, Davies MJ, 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(4):922–33.
Article
PubMed
Google Scholar
Aziz Z, Absetz P, Oldroyd J, Pronk NP, Oldenburg B. A systematic review of real-world diabetes prevention programs: learnings from the last 15 years. Implement Sci. 2015;10:172.
Article
PubMed
PubMed Central
Google Scholar
Johnson M, Jones R, Freeman C, Woods HB, Gillett M, Goyder E, Payne N. Can diabetes prevention programmes be translated effectively into real-world settings and still deliver improved outcomes? A synthesis of evidence. Diabet Med. 2013;30:3–15.
Article
CAS
PubMed
Google Scholar
Pronk NP, Remington PL, Community Preventive Services Task Force. Combined diet and physical activity promotion programs for prevention of diabetes: community preventive services task force recommendation statement. Ann Intern Med. 2015;163(6):437-51.
Grumbach K, Bodenheimer T. A primary care home for Americans: putting the house in order. JAMA. 2002;288(7):889–93.
Article
PubMed
Google Scholar
Ackermann RT, Finch EA, Brizendine E, Zhou H, Marrero DG. Translating the diabetes prevention program into the community; the DEPLOY pilot study. Am J Prev Med. 2008;35(4):357–63.
Article
PubMed
PubMed Central
Google Scholar
Diabetes Prevention Program (DPP) Group. Metabolic syndrome components and their response to lifestyle and metformin interventions are associated with differences in diabetes risk in persons with impaired glucose tolerance. Diabetes Obes Metab. 2014;16(4):326–33.
Article
CAS
Google Scholar
Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish diabetes prevention study. Lancet. 2006;368:1673–9.
Article
PubMed
Google Scholar
Modesti P, Galanti G, Cala P, Calabrese M. Lifestyle interventions in preventing new type 2 diabetes in asian populations. Intern Emerg Med. 2016;11(3):375–84.
Article
PubMed
Google Scholar
Rawal LB, Tapp RJ, Williams ED, Chan C, Yasin S, Oldenburg B. Prevention of type 2 diabetes and its complications in developing countries: a review. Int J Behav Med. 2012;19(2):121–33.
Article
PubMed
Google Scholar
Lagisetty PA, Priyadarshini S, Terrell S, et al. Culturally targeted strategies for diabetes prevention in minority populations: a systematic review and framework. Diabetes Educ. 2017;43(1):54–77.
Article
PubMed
PubMed Central
Google Scholar
The World Bank. Country and Lending Groups (data.worldbank.org/ about/ country classifications). Washington, DC: The World Bank; 2014.
Google Scholar
Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014. User guide for RevMan 5.3.3 (last updated: 24 June 2014). (https://community.cochrane.org/help/tools-and-software/revman-5).
Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from https://training.cochrane.org/handbook.
Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ (Clinical research ed). 2008;336(7650):924–6.
Article
Google Scholar
GRADE Working Group, McMaster University. GRADEpro GDT. Version accessed 14 July 2016. Hamilton: GRADE Working Group, McMaster University. p. 2014.
Luo Y, Paul SK, Zhou X, Chang C, Chen W, Guo X, Yang J, Ji L, Wang H. Rationale, design, and baseline characteristics of Beijing prediabetes reversion program: a randomized controlled clinical trial to evaluate the efficacy of lifestyle intervention and/or pioglitazone in reversion to Normal glucose tolerance in prediabetes. J Diabetes Res. 2017;2017:7602408.
PubMed
PubMed Central
Google Scholar
Weber MB, Ranjani H, Meyers GC, Mohan V, Narayan KV. A model of translational research for diabetes prevention in low and middle-income countries: the diabetes community lifestyle improvement program (D-CLIP) trial. Prim Care Diabetes. 2012;6(1):3–9.
Article
PubMed
Google Scholar
Chen MF, Hung SL, Chen SL. Empowerment program for people with prediabetes: a randomized controlled trial. J Nurs Res. 2017;25(2):99–111.
Article
PubMed
Google Scholar
Lin A, Zhang G, Liu Z, Gu J, Chen W, Luo F. Community-based lifestyle intervention for reducing blood pressure and glucose among middle-aged and older adults in China: a pilot study. Int J Environ Res Public Health. 2014;11(11):11645–63.
Article
PubMed
PubMed Central
Google Scholar
Wijesuriya M, Gulliford M, Vasantharajah L, Viberti G, Gnudi L, Karalliedde J. DIABRISK-SL Prevention of cardio-metabolic disease with life style modification in young urban Sri Lankan's-study protocol for a randomized controlled trial. Trials. 2011;12(1):209.
Article
PubMed
PubMed Central
Google Scholar
Liu H, Wang L, Zhang S, Leng J, Li N, Li W, Tian H, Qi L, Tuomilehto J, Yang X, Yu Z. 1 year weight losses in the Tianjin gestational diabetes mellitus prevention program: a randomized trial. Lancet Diabetes Endocrinol. 2016;4:S11.
Article
Google Scholar
Guess N, Wijesuriya M, Vasantharajah L, Gulliford M, Viberti G, Gnudi L, Karalliedde J. The effect of dietary changes on distinct components of the metabolic syndrome in a young sri lankan population at high risk of CVD. Br J Nutr. 2016;116(4):719–27.
Article
CAS
PubMed
Google Scholar
Nanditha A, Snehalathan C, Ram J, et al. Impact of lifestyle intervention in primary prevention of type 2 diabetes did not differ by baseline age and BMI among Asian-Indian people with impaired glucose tolerance. Diabet Med. 2016;33(12):1700–4.
Article
CAS
PubMed
Google Scholar
Aira T, Wang W, Riedel M, Witte SS. Reducing risk behaviors linked to non-communicable diseases in Mongolia: a randomized controlled trial. Am J Public Health. 2013;103(9):1666–74.
Article
PubMed
PubMed Central
Google Scholar
Cheng S, Ge J, Zhao C, et al. Effect of aerobic exercise and diet on liver fat in pre-diabetic patients with non-alcoholic-fatty-liver-disease: a randomized controlled trial. Sci Rep. 2017;7(1):15952.
Article
PubMed
PubMed Central
CAS
Google Scholar
De Azevedo MGB, Pedrosa RS, Aoqui CM, et al. Effectiveness of home pharmaceutical interventions in metabolic syndrome: a randomized controlled trial. Braz J Pharm Sci. 2017;53(2):1–9.
Article
Google Scholar
Dunkley AJ, Davies MJ, Stone MA, Taub NA, Troughton J, Yates T, Khunti K. The reversal intervention for metabolic syndrome (TRIMS) study: rationale, design, and baseline data. Trials. 2011;12:107.
Article
PubMed
PubMed Central
Google Scholar
Xu DF, Sun JQ, Chen M, Chen YQ, Xie H, Sun WJ, et al. Effects of lifestyle intervention and meal replacement on glycaemic and body-weight control in Chinese subjects with impaired glucose regulation: a 1-year randomised controlled trial. Br J Nutr. 2013;109(3):487–92.
Article
CAS
PubMed
Google Scholar
Whittemore R, Rosenberg A, Gilmore L, Withey M, Breault A. Implementation of a diabetes prevention program in public housing communities. Public Health Nurs. 2014;31(4):317–26.
Article
PubMed
Google Scholar
Toobert DJ, Strycker LA, King DK, Barrera M Jr, et al. Long-term outcomes from a multiple-risk-factor diabetes trial for Latinas: viva Bien! Transl Behav Med. 2011;1(3):416–26.
Article
PubMed
PubMed Central
Google Scholar
Stepenka V, Rivas Y, Casal J, Gutierrez R, Ryder E, Florez H. Metabolic benefits of lifestyle intervention in the clinical setting: A pilot study in Latinos with prediabetes from Venezuela, South America. Diabetes. Conference: 70th Scientific Sessions of the American Diabetes Association. Orlando: Conference Publication; 2010.
Google Scholar
Siqueira-Catania A, Cezaretto A, De Barros CR, Salvador EP, Dos Santos TC, Ferreira SR. Cardiometabolic risk reduction through lifestyle intervention programs in the Brazilian public health system. Diabetol Metab Syndr. 2013;5(21).
Li G, Zhang P, Wang J, An Y, Gong Q, Gregg EW, Yang W, Zhang B, Shuai Y, Hong J, Engelgau MM. Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing diabetes prevention study: a 23-year follow-up study. Lancet Diabetes Endocrinol. 2014;2(6):474–80.
Article
PubMed
Google Scholar
Li G, Zhang P, Wang J, Gregg EW, Yang W, Gong Q, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet. 2008;371(9626):1783–9.
Article
PubMed
Google Scholar
Shen X, An Y, Zhang P, Wang J, Gregg E, Zhang B, Li G. Both Fasting and 2-hour post load glycemic progression predicts subsequent cardiovascular events in persons with impaired glucose tolerance: 23-year follow-up of the da Qing diabetes prevention study. Cardiology (Switzerland). 2014;1:11.
Florez H, Stepenka V, Castillo-Florez S, Rivas Y, Casal J, Ryder E, et al. Lifestyle intervention improves global cardiovascular health in latinos with prediabetes in maracaibo, Venezuela. Circulation. 2012;125(supp10):162.
Jahangiry L, Shojaeizadeh D, Abbasalizad Farhangi M, Yaseri M, Mohammad K, Najafi M, Montazeri A. Interactive web-based lifestyle intervention and metabolic syndrome: findings from the red ruby (a randomized controlled trial). Trials. 2015;16:418.
Article
PubMed
PubMed Central
CAS
Google Scholar
Shek NWM, Ngai CSW, Lee CP, Chan JYC, Lao TTH. Lifestyle modifications in the development of diabetes mellitus and metabolic syndrome in Chinese women who had gestational diabetes mellitus: a randomized interventional trial. Arch Gynecol Obstet. 2013;289(2):319–27.
Article
PubMed
Google Scholar
Essien, O., Otu, A., Umoh, V., Enang, O., Hicks, J., & Walley, J. Intensive patient education improves glycaemic control in diabetes compared to conventional education: a randomised controlled trial in a nigerian tertiary care hospital. Plos One. 2017;12(1).
Lu Y-H, Lu J-M, Wang S-Y, Li C-L, Zheng R-P, Tian H, Wang X-L. Outcome of intensive integrated intervention in participants with impaired glucose regulation in China. Adv Ther. 28(6):511–9.
Pichayapinyo P, Lagampan S, Rueangsiriwat N. Effects of a dietary modification on 2h postprandial blood glucose in Thai population at risk of type 2 diabetes: An application of the Stages of Change Model. Int J Nurs Pract. 21(3):278–85.
Wijesuriya M, Fountoulakis N, Guess N, et al. A pragmatic lifestyle modification programme reduces the incidence of predictors of cardio-metabolic disease and dysglycaemia in a young healthy urban South Asian population: a randomised controlled trial. BMC Med. 2017;15(1):146.
Article
PubMed
PubMed Central
Google Scholar
Perichart-Perera O, Balas-Nakash M, Munoz-Manrique C, Legorreta-Legorreta J, Rodriguez-Cano A, Mier-Cabrera J, Aguilera-Perez JR. Structured hypocaloric diet is more effective than behavioral therapy in reducing metabolic syndrome in Mexican postmenopausal women: a randomized controlled trial. Menopause. 2014;21(7):711–20.
Article
PubMed
Google Scholar
Wong Carlos KH, et al. A short message service (SMS) intervention to prevent diabetes in Chinese professional drivers with pre-diabetes: A pilot single-blinded randomized controlled trial. Diabetes Res Clin Pract. 2013;102(Issue 3):158–66.
Article
CAS
PubMed
Google Scholar
Oba N, McCaffrey R, Choonhapran P, Chutug P, Rueangram S. Development of a community participation program for diabetes mellitus prevention in a primary care unit, Thailand. Nurs Health Sci. 2011;13(3):352–9.
PubMed
Google Scholar
Limaye T, Kumaran K, Joglekar C, Bhat D, Kulkarni R, Nanivadekar A, et al. Efficacy of a virtual assistance-based lifestyle intervention in reducing risk factors for type 2 diabetes in young employees in the information technology industry in India: LIMIT, a randomized controlled trial. Diabet Med. 2017;34(4):563–8.
Article
CAS
PubMed
Google Scholar
Ramachandran A, Snehalatha C, Ram J, Selvam S, Simon M, Nanditha A, et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomized controlled trial. Lancet Diabetes Endocrinol. 2013;3:191–8.
Article
Google Scholar
Sathish T, Oldenburg B, Lotfalian M, Thankappan KR. Effectiveness of lifestyle intervention in prevention of type 2 diabetes in India: A cluster randomized controlled trial of the Kerala diabetes prevention program. Diabetes. 2017;66(supplement 1):A458.
Google Scholar
Hu Z, Qin L, Xu H. One-year results of a synthetic intervention model for the primary prevention of T2D among elderly individuals with prediabetes in rural china. Int J Environ Res Public Health. 2017;14(4):417.
Article
PubMed Central
Google Scholar
Pimentel GD, Portero-Mclellan KC, Oliveira EP, Spada AP, Oshiiwa M, Zemdegs JC, et al. Long-term nutrition education reduces several risk factors for type 2 diabetes mellitus in Brazilians with impaired glucose tolerance. Nutr Res. 2010;30(3):186–90.
Article
CAS
PubMed
Google Scholar
Tran VD, Lee AH, Jancey J, James AP, Howat P, Mai LTP. Effectiveness of a community-based physical activity and nutrition BehaviorIntervention on features of the metabolic syndrome: a cluster-randomized controlled trial. Metab Syndr Relat Disord. 2017;15(2):63–71.
Article
CAS
PubMed
Google Scholar
George Kerrison, Richard B. Gillis, Shahwar I. Jiwani, et al., The Effectiveness of Lifestyle Adaptation for the Prevention of Prediabetes in Adults: A Systematic Review, J Diabetes Res, 2017;2017:8493145, 20 pages.
Zhang X, Imperatore G, et al. Effect of lifestyle interventions on glucose regulation among adults without impaired glucose tolerance or diabetes: a systematic review and meta-analysis. Diabetes Res Clin Pract. 2017;123:149–64.
Gong QH, Kang JF, Ying YY, Li H, Zhang XH, Wu YH, Xu GZ. Lifestyle interventions for adults with impaired glucose tolerance: a systematic review and meta-analysis of the effects on glycemic control. Intern Med. 2015;54(3):303–10.
Article
CAS
PubMed
Google Scholar
Baena CP, Olandoski M, Younge JO, Buitrago-Lopez A, Darweesh SK, Campos N, et al. Effects of lifestyle-related interventions on blood pressure in low and middle-income countries: systematic review and meta-analysis. J Hypertens. 2014;32(5):961–73.
Article
CAS
PubMed
Google Scholar