Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 14, Issue 3 (Summer 2025)
J Occup Health Epidemiol 2025, 14(3): 162-169 |
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Fitri A E R, Simanjorang C, Hanifah L. Prevalence and Risk Factors of Prediabetes in Indonesian Adults: A Cross-Sectional Study (2023). J Occup Health Epidemiol 2025; 14 (3) :162-169
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1- Public Health Student, Dept. of Public Health, Faculty of Health Sciences, National Development University, “Veteran” Jakarta, Indonesia.
2- Lecturer, Dept. of Public Health, Faculty of Health Sciences, National Development University, “Veteran” Jakarta, Indonesia. ,chandrayanis@upnvj.ac.id
3- Lecturer, Dept. of Public Health, Faculty of Health Sciences, National Development University, “Veteran” Jakarta, Indonesia.
2- Lecturer, Dept. of Public Health, Faculty of Health Sciences, National Development University, “Veteran” Jakarta, Indonesia. ,
3- Lecturer, Dept. of Public Health, Faculty of Health Sciences, National Development University, “Veteran” Jakarta, Indonesia.
Article history
Received: 2025/02/18
Accepted: 2025/05/17
ePublished: 2025/09/28
Accepted: 2025/05/17
ePublished: 2025/09/28
Subject:
Epidemiology
Abstract: (141 Views)
Background: Prediabetes is an intermediate state of hyperglycemia which may elevate the risk of type 2 diabetes mellitus. Prediabetes is also associated with stroke, coronary heart disease, retinopathy, and all-cause mortality. This study aimed to determine the prevalence of prediabetes along with the risk factors among the adult population in Indonesia.
Materials and Methods: The study design was cross-sectional with secondary data from IHS 2023 interviews, measurements, and examinations. The study population consisted of adults (19-59 years). A total sample of 11,465 who had blood glucose test results was analyzed after weighted to the multivariate with Cox Regression.
Results: The prevalence of prediabetes among adults in Indonesia was 47.5% (95% CI 51.2%-53.7%). Multivariate analysis showed that age (aPR=1.191; 95% CI 1.133-1.252), educational level (aPR=1.081; 95% CI 1.030-1.135), physical activity (aPR=1.175; 95% CI 1.078-1.282), BMI (aPR=1.079; 95% CI 1.018- 1.144), central obesity (aPR=1.196; 95% CI 1.127-1.270), hypertension (aPR=1.092; 95% CI 1.029-1.159), LDL level (aPR=1.097; 95% CI 1.042-1.155), and triglyceride level (aPR=1.074; 95% CI 1.022-1.128) had a significant association with prediabetes across the adult population.
Conclusions: Central obesity was the predominant factor. It is recommended to strengthen education and prediabetes screening before adulthood to prevent the development of prediabetes in adults.
Materials and Methods: The study design was cross-sectional with secondary data from IHS 2023 interviews, measurements, and examinations. The study population consisted of adults (19-59 years). A total sample of 11,465 who had blood glucose test results was analyzed after weighted to the multivariate with Cox Regression.
Results: The prevalence of prediabetes among adults in Indonesia was 47.5% (95% CI 51.2%-53.7%). Multivariate analysis showed that age (aPR=1.191; 95% CI 1.133-1.252), educational level (aPR=1.081; 95% CI 1.030-1.135), physical activity (aPR=1.175; 95% CI 1.078-1.282), BMI (aPR=1.079; 95% CI 1.018- 1.144), central obesity (aPR=1.196; 95% CI 1.127-1.270), hypertension (aPR=1.092; 95% CI 1.029-1.159), LDL level (aPR=1.097; 95% CI 1.042-1.155), and triglyceride level (aPR=1.074; 95% CI 1.022-1.128) had a significant association with prediabetes across the adult population.
Conclusions: Central obesity was the predominant factor. It is recommended to strengthen education and prediabetes screening before adulthood to prevent the development of prediabetes in adults.
References
1. Zand A, Ibrahim K, Patham B. Prediabetes: Why Should We Care? Methodist Debakey Cardiovasc J. 2018;14(4):289-97. [DOI] [PMID] [PMCID]
2. Tian Y, Qiu Z, Wang F, Deng S, Wang Y, Wang Z, et al. Associations of Diabetes and Prediabetes With Mortality and Life Expectancy in China: A National Study. Diabetes Care. 2024;47(11):1969-77. [DOI] [PMID]
3. Lizzo JM, Goyal A, Gupta V. Adult Diabetic Ketoacidosis. In: StatPearls [Internet]. Treasure Island, Florida, United States: StatPearls Publishing; 2025 [PMID] [Bookshelf ID]
4. World Health Organization. Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycemia. Geneva, Switzerland: World Health Organization; 2006. [URL]
5. Soelistijo S, Lindarto D, Decroli E, Permana H, Sucipto KW, Kusnadi Y, et al. Pedoman Pengelolaan dan Pencegahan Diabetes Melitus Tipe 2 Dewasa di Indonesia 2021. Fontana, Wisconsin, United States: Global Initiative for Asthma. 2021.
6. American Heart Association. Diabetes Risk Factors. New York, United States: American Heart Association; 2024.
7. Andriani RN, Fitriadi Y, Danawati CW, Koesnanto H, Ikhsan R. Analysis of Prediabetes Risk Factors at Primary Health Care Centers. Rev Prim Care Pract Educ. 2022;5(2):526. [DOI]
8. Bahadoran Z, Mirmiran P, Shabani M, Azizi F. Higher daily physical activity levels may facilitate pre-diabetes regression to normoglycemia: A longitudinal study among an Iranian population. Prev Med Rep. 2023;34:102233. [DOI] [PMID] [PMCID]
9. Liberty IA, Kodim N. Assess Prediabetes Risk, As A Golden Period For Prevention Of Diabetes. Asian J Pharm Clin Res. 2017;10(6):349-53. [DOI]
10. International Diabetes Federation. The Diabetes Atlas. 10th ed. Brussels, Belgium: International Diabetes Federation; 2021.
11. Health Development Policy Agency, Ministry of Health. The 2023 Indonesian Health Survey (IHS) in Numbers. Jakarta, Indonesian: Ministry of Health; 2024.
12. Dany F, Dewi RM, Tjandrarini DH, Pradono J, Delima D, Sariadji K, et al. Urban-rural distinction of potential determinants for prediabetes in Indonesian population aged ≥15 years: a cross-sectional analysis of Indonesian Basic Health Research 2018 among normoglycemic and prediabetic individuals. BMC Public Health. 2020;20(1):1509. [DOI] [PMID] [PMCID]
13. Ministry of Health of the Republic of Indonesia. Adults 19-59 Years. Jakarta, Indonesian: Ministry of Health; 2024.
14. Glechner A, Keuchel L, Affengruber L, Titscher V, Sommer I, Matyas N, et al. Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis. Prim Care Diabetes. 2018;12(5):393-408. [DOI] [PMID]
15. Andes LJ, Cheng YJ, Rolka DB, Gregg EW, Imperatore G. Prevalence of Prediabetes Among Adult population and Young Adults in the United States, 2005-2016. JAMA Pediatr. 2020;174(2):e194498. [DOI] [PMID] [PMCID]
16. Lascar N, Brown J, Pattison H, Barnett AH, Bailey CJ, Bellary S. Type 2 diabetes in adult population and young adults. Lancet Diabetes Endocrinol. 2018;6(1):69-80. [DOI] [PMID]
17. Maghfiroh AA, Simanjorang C, Karima UQ. Factors Associated with the Incidence of Prediabetes in Bogor, Indonesia: A Cohort Study. J Res Health Sci. 2025;25(1):e00635. [DOI] [PMID] [PMCID]
18. Xie J, Wang M, Long Z, Ning H, Li J, Cao Y, et al. Global burden of type 2 diabetes in adult population and young adults, 1990-2019: systematic analysis of the Global Burden of Disease Study 2019. BMJ. 2022;379:e072385. [DOI] [PMID] [PMCID]
19. Alkandari A, Alarouj M, Elkum N, Sharma P, Devarajan S, Abu-Farha M, et al. Adult Diabetes and Prediabetes Prevalence in Kuwait: Data from the Cross-Sectional Kuwait Diabetes Epidemiology Program. J Clin Med. 2020;9(11):3420. [DOI] [PMID] [PMCID]
20. Sun J, Liu Z, Zhang Z, Zeng Z, Kang W. The Correlation of Prediabetes and Type 2 Diabetes with Adiposity in Adults. Front Nutr. 2022;9:818263. [DOI] [PMID] [PMCID]
21. Brož J, Malinovská J, Nunes MA, Kučera K, Rožeková K, Žejglicová K, et al. Prevalence of diabetes and prediabetes and its risk factors in adults aged 25–64 in the Czech Republic: A cross-sectional study. Diabetes Res Clin Pract. 2020;170:108470. [DOI] [PMID]
22. Centers for Disease Control and Prevention. The Surprising Truth About Prediabetes. Atlanta, Georgia, United States: Centers for Disease Control and Prevention; 2024.
23. Abdul Basit K, Fawwad A, Mustafa N, Davey T, Tahir B, Basit A. Changes in the prevalence of diabetes, prediabetes and associated risk factors in rural Baluchistan; a secondary analysis from repeated surveys (2002-2017). PLoS One. 2023;18(4):e0284441. [DOI] [PMID] [PMCID]
24. Aldossari KK, Aldiab A, Al-Zahrani JM, Al-Ghamdi SH, Abdelrazik M, Batais MA, et al. Prevalence of Prediabetes, Diabetes, and Its Associated Risk Factors among Males in Saudi Arabia: A Population-Based Survey. J Diabetes Res. 2018;2018:2194604. [DOI] [PMID] [PMCID]
25. Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ. 2020;369:m997. [DOI] [PMID] [PMCID]
26. Liao YS, Tsai WC, Chiu LT, Kung PT. Educational attainment affects the diagnostic time in type 2 diabetes mellitus and the mortality risk of those enrolled in the diabetes pay-for-performance program. Health Policy. 2023;138:104917. [DOI] [PMID]
27. Park KS, Hwang SY. Lifestyle-related predictors affecting prediabetes and diabetes in 20-30-year-old young Korean adults. Epidemiol Health. 2020;42:e2020014. [DOI] [PMID] [PMCID]
28. Yang W, Wu Y, Chen Y, Chen S, Gao X, Wu S, et al. Different levels of physical activity and risk of developing type 2 diabetes among adults with prediabetes: a population-based cohort study. Nutr J. 2024;23(1):107. [DOI] [PMID] [PMCID]
29. Schweitzer GG, Ditzenberger GL, Hughey CC, Finck BN, Martino MR, Pacak CA, et al. Elevated liver glycogenolysis mediates higher blood glucose during acute exercise in Barth syndrome. PLoS One. 2023;18(8):e0290832. [DOI] [PMID] [PMCID]
30. Gong D, Chen X, Yang L, Zhang Y, Zhong Q, Liu J, et al. From normal population to prediabetes and diabetes: study of influencing factors and prediction models. Front Endocrinol (Lausanne). 2023;14:1225696. [DOI] [PMID] [PMCID]
31. Budiastutik I, Kartasurya MI, Subagio HW, Widjanarko B. High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study. J Obes. 2022;2022:4851044. [DOI] [PMID] [PMCID]
32. Tsimihodimos V, Gonzalez-Villalpando C, Meigs JB, Ferrannini E. Hypertension and Diabetes Mellitus: Coprediction and Time Trajectories. Hypertension. 2018;71(3):422-8. [DOI] [PMID] [PMCID]
33. Kuang M, Peng N, Qiu J, Zhong Y, Zou Y, Sheng G. Association of LDL:HDL ratio with prediabetes risk: a longitudinal observational study based on Chinese adults. Lipids Health Dis. 2022;21(1):44. [DOI] [PMID] [PMCID]
34. Yang T, Liu Y, Li L, Zheng Y, Wang Y, Su J, et al. Correlation between the triglyceride-to-high-density lipoprotein cholesterol ratio and other unconventional lipid parameters with the risk of prediabetes and Type 2 diabetes in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol. 2022;21(1):93. [DOI] [PMID] [PMCID]
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