Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2023;402:203–34. https://doi.org/10.1016/S0140-6736(23)01301-6.
International Diabetes Federation. IDF Diabetes Atlas 10th edition. Brussels, Belgium, 2021. www.diabetesatlas.org.
Tabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: A high-risk state for diabetes development. Lancet. 2012;379:2279–90. https://doi.org/10.1016/S0140-6736(12)60283-9.
Article PubMed PubMed Central Google Scholar
Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. New England Journal Medicine. 2001;344:1343–50. https://doi.org/10.1056/NEJM200105033441801.
Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. Obstet Gynecol Surv. 2003;58:182–3.
Lindström J, Lindström L, Louheranta A, Eriksson J, Uusitupa M, Tuomilehto J. The Finnish Diabetes Prevention Study (DPS) Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003;26:3230–6. https://doi.org/10.2337/diacare.26.12.3230.
Pan X, Li G, Wang J, Yang W, Xiao J, Cao H, 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. https://doi.org/10.2337/diacare.20.4.537.
Article CAS PubMed Google Scholar
Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V. 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;49:289–97.
Thankappan KR, Sathish T, Tapp RJ, Shaw JE, Lotfaliany M, Wolfe R, et al. A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. PLoS Med. 2018;15:e1002575. https://doi.org/10.1371/journal.pmed.1002575.
Article PubMed PubMed Central Google Scholar
Mathews E, Sathish T, Joseph A, Kodapally B, Thulaseedharan JV, Narayan KMV, et al. Effectiveness and implementation of a lifestyle modification intervention for women with isolated impaired fasting glucose: Study protocol for a hybrid type 2 study in Kerala, India. Wellcome Open Res. 2022;7:62. https://doi.org/10.12688/wellcomeopenres.17631.1.
Article CAS PubMed PubMed Central Google Scholar
American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37:S81–S90.
World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO/IDF consultation. 2006. https://Definition.and.diagnosis.of.diabetes.mellitus.and.intermediate.hyperglycaemia.
Hostalek U. Global epidemiology of prediabetes - present and future perspectives. Clin Diabetes Endocrinol. 2019;5. https://doi.org/10.1186/s40842-019-0080-0.
Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2:231–7. https://doi.org/10.1242/dmm.001180.
Article CAS PubMed PubMed Central Google Scholar
Shen J, Kondal D, Rubinstein A, Irazola V, Gutierrez L, Miranda JJ, et al. A multiethnic study of pre-diabetes and diabetes in LMIC. Glob Heart. 2016;11:61–70. https://doi.org/10.1016/j.gheart.2015.12.015.
Aikaeli F, Njim T, Gissing S, Moyo F, Alam U, Mfinanga SG, et al. Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis. PLOS Global Public Health. 2022;2:e0000599. https://doi.org/10.1371/journal.pgph.0000599.
Article PubMed PubMed Central Google Scholar
Ford ND, Patel SA, Narayan KMV. Obesity in low-and middle-income countries: burden, drivers, and emerging challenges. Annu Rev Public Health. 2017;38:145–64. https://doi.org/10.1146/annurev-publhealth-031816-044604.
Miranda JJ, Barrientos-Gutierrez T, Corvalan C, Hyder AA, Lazo-Porras M, Oni T, et al. Understanding the rise of cardiometabolic diseases in low-and middle-income countries. Nat Med. 2019;25:1667–79. https://doi.org/10.1038/s41591-019-0644-7.
Article CAS PubMed Google Scholar
Echouffo-Tcheugui JB, Selvin E. Prediabetes and what it means: the epidemiological evidence. Annu Rev Public Health. 2021;42:59–77. https://doi.org/10.1146/annurev-publhealth-090419-102644.
Article PubMed PubMed Central Google Scholar
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Revista Espanola de Nutricion Humana y Dietetica. 2016;20:148–60. https://doi.org/10.1136/bmj.g7647.
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus*. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care. 2003;26:3160–7.
Bigna JJ, Nansseu JR, Katte JC, Noubiap JJ. Prevalence of prediabetes and diabetes mellitus among adults residing in Cameroon: A systematic review and meta-analysis. Diabetes Res Clin Pract. 2018;137:109–18. https://doi.org/10.1016/j.diabres.2017.12.005.
Al-Rifai RH, Majeed M, Qambar MA, Ibrahim A, Alyammahi KM, Aziz F. Type 2 diabetes and pre-diabetes mellitus: A systematic review and meta-Analysis of prevalence studies in women of childbearing age in the Middle East and North Africa, 2000-2018. Syst Rev. 2019;8:268. https://doi.org/10.1186/s13643-019-1187-1.
Article PubMed PubMed Central Google Scholar
Cheema A, Adeloye D, Sidhu S, Sridhar D, Chan KY. Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis. J Glob Health. 2014;4:10404 https://doi.org/10.7189/jogh.04.010404.
Shrestha N, Mishra SR, Ghimire S, Gyawali B, Mehata S. Burden of diabetes and prediabetes in Nepal: a systematic review and meta-analysis. Diabetes Ther. 2020;11:1935–46. https://doi.org/10.1007/s13300-020-00884-0.
Article PubMed PubMed Central Google Scholar
Atre S, Deshmukh S, Kulkarni M. Prevalence of type 2 diabetes mellitus (T2DM) in India: A systematic review (1994-2018). Diabetes Metab Syndr. 2020;14:897–906. https://doi.org/10.1016/j.dsx.2020.05.040.
Akhtar S, Nasir JA, Sarwar A, Nasr N, Javed A, Majeed R, et al. Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis. BMJ Open. 2020;10:e036086. https://doi.org/10.1136/bmjopen-2019-036086.
Article PubMed PubMed Central Google Scholar
Siddiqui S, Zainal H, Harun SN, Sheikh Ghadzi SM, Ghafoor S. Gender differences in the modifiable risk factors associated with the presence of prediabetes: A systematic review. Diab Metabolic Syndrome: Clin Res Rev. 2020;14:1243–52. https://doi.org/10.1016/j.dsx.2020.06.069.
Akhtar S, Nasir JA, Ali A, Asghar M, Majeed R, Sarwar A. Prevalence of type-2 diabetes and prediabetes in Malaysia: A systematic review and meta-analysis. PLoS One. 2022;17:e0263139. https://doi.org/10.1371/journal.pone.0263139.
Article CAS PubMed PubMed Central Google Scholar
Asmelash D, Mesfin Bambo G, Sahile S, Asmelash Y. Prevalence and associated factors of prediabetes in adult East African population: A systematic review and meta-analysis. Heliyon. 2023;9:e21286. https://doi.org/10.1016/j.heliyon.2023.e21286.
Sosibo AM, Mzimela NC, Ngubane PS, Khathi A. Prevalence and correlates of pre-diabetes in adults of mixed ethnicities in the South African population: A systematic review and meta-analysis. PLoS One. 2022;17:e0278347. https://doi.org/10.1371/journal.pone.0278347.
Article CAS PubMed PubMed Central Google Scholar
World Bank. Low & middle income. 2023. https://data.worldbank.org/country/XO.
World Bank. World bank regions. 2023. https://datatopics.worldbank.org/world-development-indicators/images/figures-png/world-by-region-map.pdf.
The National Heart, Lung, and Blood Institute (NHLBI). Study Quality Assessment Tools. Available In: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools.
StataCorp. Stata Statistical Software: Release 17. College Station, TX: StataCorp LLC. 2021.
King H, Keuky L, Seng S, Khun T, Roglic G, Pinget M. Diabetes and associated disorders in Cambodia: two epidemiological surveys. Lancet. 2005;366:1633–9. https://doi.org/10.1016/S0140-6736(05)67662-3.
Liang K, Sun Y, Li WJ, Zhang XP, Li CQ, Yang WF, et al. Diagnostic efficiency of hemoglobin A1c for newly diagnosed diabetes and prediabetes in community-based chinese adults aged 40 years or older. Diabetes Technol Ther. 2014;16:853–7. https://doi.org/10.1089/dia.2014.0157.
Article CAS PubMed PubMed Central Google Scholar
Yan Q, Sun D, Li X, Chen G, Zheng Q, Li L, et al. Association of blood glucose level and hypertension in Elderly Chinese Subjects: a community based study. BMC Endocr Disord. 2016;16:40. https://doi.org/10.1186/s12902-016-0119-5.
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