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Volume 5, Issue 3 (Aug 2017)                   Res Mol Med (RMM) 2017, 5(3): 11-20 | Back to browse issues page


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Vinodhini R, Kebede L, Teka G, Asana B, Abel T. Prevalence of Prediabetes and its Risk Factors among the Employees of Ambo University, Oromia Region, Ethiopia. Res Mol Med (RMM). 2017; 5 (3) :11-20
URL: http://rmm.mazums.ac.ir/article-1-252-en.html
Abstract:   (1178 Views)
Background: Prediabetes is a metabolic condition which is characterized by the presence of higher levels of blood glucose. It can be treated by lowering high blood glucose level and maintaining the healthy lifestyle habits, healthy meal plan and regular exercise. The aim of this study was to evaluate the prevalence of prediabetes and to identify the risk factors involved in its progression.
Materials and Methods: A cross-sectional study design was adapted for the present research work. The targeted participants were adults under the age group of 35-59 years. This research included all voluntary individuals who were screened according to the guidelines of the centers for disease control and prevention (CDC). This study protocol included self-administered questionnaires; anthropometric data and blood biochemistry. A total of 380 respondents arrived at the baseline sample in which 16 subjects who had diabetes were excluded and the remaining 364 samples with normal glucose tolerance (NGT), impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) were included as the study subjects. All statistical analysis was carried out by IBM SPSS statistics 20.0 software. The recorded p values are on the basis of two-sided tests with a statistical significance of p ≤ 0.05.
Results: The present study showed the higher prevalence of prediabetes with normal glucose tolerance, impaired fasting glucose and/or impaired glucose tolerance (IGT) as 79.7%, 8.0%, 6.8% and 5.5% respectively. The total estimated prevalence of prediabetes was 20.3% which includes 12.6% of males and 28.2% of females. As per WHO guidelines 23.0% of pre-obese and 34.4% of obese in the target groups whose BMI ≥ 25 with their risk estimate of 2.28 (0.8-6.5) for males and 2.25 (1.03-4.9) for females are in the prediabetic groups. According to the seventh report of joint national committee (JNC) standards around 20.3% of hypertensive individuals with OR: 0.5 (0.21-1.3) for males and OR: 0.12 (0.1- 0.30) for females were in prediabetes. Sex, age, occupation, income, alcohol drinking, and elevation in modified risk factors including body mass index (BMI), waist to hip ratio (WHR), blood pressure (BP), high-density lipoprotein cholesterol (HDL) and low-density lipoprotein cholesterol (LDL) were significantly associated with prediabetes.
Conclusion: The present study indicated a higher prevalence of prediabetes and the effect of possible risk factors in the target population. Hence self-care should be prioritized in the community to maintain the normal BP, blood glucose, BMI and regular physical exercise.  It is highly recommended to conduct various intervention programs in the form of counseling and health education after the clients are successively screened for prediabetes. This strategy helps in the management of prediabetes and controls a huge number of people from the risk of T2DM.
Full-Text [PDF 672 kb]   (390 Downloads)    
Type of Study: Research | Subject: Family Health
Received: 2017/11/27 | Accepted: 2018/01/10 | Published: 2018/01/10

References
1. 1. Sarah W, Anders G, Sicree R, King H. Global prevalence of diabetes, epidemiology/health services/psychosocial research. Diabetes Care. 2004; 27(5): 1047-53. PMID: 15111519
2. McNeely MJ, Boyko EJ, Leonetti DL, Kahn SE, Fujimoto WY. Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose for prediction of type 2 diabetes risk in Japanese Americans. Diabetes Care. 2003; 26 (3): 758-63. PMID: 12610034. [DOI:10.2337/diacare.26.3.758]
3. Hjellvik V, Sakshaug S, Strom H. Body mass index, triglycerides, glucose, and blood pressure as predictors of Type 2 diabetes in a middle-aged Norwegian cohort of men and women. Clin Epidemiol. 2012; 4: 213-24. PMID: 22936857. [DOI:10.2147/CLEP.S31830]
4. American diabetic association. Classification and diagnosis of diabetes. Diabetes Care. 2015; 38 Suppl: S8-S16. PMID: 25537714. [DOI:10.2337/dc15-S005]
5. American diabetic association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010; 33 Suppl 1: S62-S69. PMID: 20042775. [DOI:10.2337/dc10-S062]
6. Forouhi NG, Luan J, Hennings S, Wareham NJ. Incidence of type-2 diabetes in England and its association with baseline impaired fasting glucose: The early study 1990-2000. Diabetes Med. 2007; 24(2): 200-7. PMID: 17257284. [DOI:10.1111/j.1464-5491.2007.02068.x]
7. Nathan DM, Davidson MB, De - Fronzo RA, Heine RJ, Henry RR, Pratley R, Zinman B. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007; 30 (3): 753-9. PMID: 17327355. [DOI:10.2337/dc07-9920]
8. Oguoma VM, Nwose EU, Ulasi II, Akintunde AA, Chukwukelu EE, Bwititi PT. Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus. BMC Public Health. 2017; 17(1): 36. PMID: 28061844. [DOI:10.1186/s12889-016-3910-3]
9. Nwose EU, Oguoma VM, Bwititi PT, Richards RS. Metabolic syndrome and prediabetes in Ndokwa community of Nigeria: Preliminary study. N Am J Med Sci. 2015; 7 (2): 53-8. PMID: 25789249. [DOI:10.4103/1947-2714.152079]
10. Balde NM, Diallo I, Balde MD, Barry IS, Kaba L, Diallo MM. Diabetes and impaired fasting glucose in rural and urban populations in Futa Jallon (Guinea): Prevalence and associated risk factors. Diabetes Metab. 2007; 33: 114-20. PMID: 17363316. [DOI:10.1016/j.diabet.2006.10.001]
11. Rathmann W, Kowall B, Heier M, Herder C, Holle R, Thorand B. Prediction models for incident Type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study. Diabet Med. 2010; 27: 1116-23. PMID: 20854378. [DOI:10.1111/j.1464-5491.2010.03065.x]
12. Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham offspring study: Arch Intern Med. 2007; 167(10): 1068-74. PMID: 17533210. [DOI:10.1001/archinte.167.10.1068]
13. WHO. Use of glycated haemoglobin (HbA1C) in diagnosis of diabetes mellitus. 2011; Report of a WHO Consultation, Geneva.
14. Ziemer DC, Kolm P, Weintraub WS, Vaccarino V, Rhee MK, Jennifer GT. Glucose-independent, black-white differences in haemoglobin A1C levels: A cross-sectional analysis of 2 studies. Ann Intern Med. 2010; 152 (12): 770 -7. PMID: 20547905. [DOI:10.7326/0003-4819-152-12-201006150-00004]
15. Selvin E, Steffes MW, Ballantyne CM, Hoogeveen RC, Coresh J, Brancati FL. Racial differences in glycaemic markers: a cross-sectional analysis of community based data. Ann Intern Med. 2011; 154 (5): 303-9. PMID: 21357907. [DOI:10.7326/0003-4819-154-5-201103010-00004]
16. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Illane-Parikka P. Finnish diabetes prevention study group. 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. PMID: 11333990. [DOI:10.1056/NEJM200105033441801]
17. 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 (2): 289-97. PMID: 16391903. [DOI:10.1007/s00125-005-0097-z]
18. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM. 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. PMID: 11832527. [DOI:10.1056/NEJMoa012512]
19. Worku D. Patterns of diabetic complications at Jimma University specialized hospital, Southwest Ethiopia. Ethiop J Health Sci. 2010; 20 (1): 33-40.
20. Megersa YC, Gebre MW, Birru SK, Goshu AR, Tesfaye DY. Prevalence of undiagnosed diabetes mellitus and its risk factors in selected institutions at Bishoftu town, East Shoa, Ethiopia. J Diabetes Metab. 2013; S12: 008.
21. Daniel WW. Biostatistics: A foundation for analysis in the health sciences. 7thEdition, New York, John Wiley & Sons, 1999.
22. Carter C. Examination of prediabetes and diabetes perceptions and knowledge using focus groups. Clemson University, ProQuest Dissertations Publishing, 2008. p 530.
23. Campbell Nerissa J. The measurement of physical activity and self-efficacy in adolescents: Prospects, problems, and future directions. 2012; Electronic Thesis and Dissertation Repository. Paper 599.
24. NHLBI, Obesity Education Initiative. The practical guide: Identification, evaluation and treatment of overweight and obesity in adults. National Institutes of Health (NIH) Publication Number 00 – 4084: 2000.
25. WHO. Waist circumference and waist to hip ratio report. Geneva, 2008; 1-39.
26. Ashwell, M Gunn, P and Gibson, S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012; 13(3): 275-86. PMID: 22106927. [DOI:10.1111/j.1467-789X.2011.00952.x]
27. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL. Seventh report of the joint national committee on prevention, detection, evaluation and treatment of high blood pressure. Hypertension. 2003; 42(6): 1206-52. PMID: 14656957. [DOI:10.1161/01.HYP.0000107251.49515.c2]
28. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001; 285(19): 2486-97. PMID: 11368702. [DOI:10.1001/jama.285.19.2486]
29. NHANES. Oral glucose tolerance test procedures manual. CDC. 2007; 1.
30. WHO. International diabetes foundation, definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia. 2006; Report of a WHO/IDF Consultation, Geneva.
31. ECDCD. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003; 26 (Suppl1): S5-S20. DOI: 10.2337/diacare.26.2007.S5. [DOI:10.2337/diacare.26.2007.S5]
32. Mohan V, Shanthirani S, Deepa R, Premalatha G, Sastry NG, Saroja R. Intra urban differences in the prevalence of the metabolic syndrome in Southern India – The Chennai Urban Population Study (CUPS). Diabet Med. 2001; 18(4): 280-7. PMID: 11437858. [DOI:10.1046/j.1464-5491.2001.00421.x]
33. Worede A, Alemu S, Gelaw AY and Abebe M. The prevalence of impaired fasting glucose and undiagnosed diabetes mellitus and associated risk factors among adults living in a rural Koladiba town, Northwest Ethiopia. BMC Res Notes, 2017; 10(1): 251. PMID: 28683811. [DOI:10.1186/s13104-017-2571-3]
34. Workneh MH, Bjune GA, Yimer SA. Prevalence and associated factors of diabetes mellitus among tuberculosis patients in South-Eastern Amhara Region, Ethiopia: A cross-sectional study. PLoS One. 2016; 11(1): e0147621. PMID: 26808967. [DOI:10.1371/journal.pone.0147621]
35. Getachew A, Mekonnen S, Alemu S, Yusuf H. High magnitude of diabetes mellitus among active pulmonary tuberculosis patients in Ethiopia. British J Medicine Medical Res. 2014; 4: 862-72.
36. Hagos AG. Prevalence of in HIV-1 infected adults receiving antiretroviral therapy in Addis Ababa, Ethiopia. Int J Pharma Sci Res. 2015; 6(2): 440-3.
37. Damtew E, Ali I, Meressa D. Prevalence of diabetes mellitus among active pulmonary tuberculosis patients at St. Peter Specialized Hospital. Addis Ababa, Ethiopia. World J Med Sci. 2014; 11: 389-96.
38. Rasaki SO, Kasali FO, Biliaminu SA, Odeigah LO, Sunday AA, Sule AG, et al. Prevalence of diabetes and prediabetes in Oke-Ogun region of Oyo State, Nigeria. Cogent Med. 2017; 4: 1326211. DOI/10.1080/2331205X.2017.1326211.
39. Chiwanga FS, Njelekela MA, Diamond MB, Bajunirwe F, Guwatudde D, Nankya-Mutyoba J, et al. Urban and rural prevalence of diabetes and prediabetes and risk factors associated with diabetes in Tanzania and Uganda. Glob Health Action. 2016; 9: 31440. PMID: 27221531. [DOI:10.3402/gha.v9.31440]
40. Ming Z, Hongbo L, Yanyan Y, Fuyan W, Yang X, Li M, et al. Prevalence of prediabetes and its associated risk factors in rural areas of Ningbo, China. Int J Environ Res Public Health. 2016; 13(8): 808. PMCID: PMC4997494.
41. Sinnott M, Kinsley BT, Jackson AD, Walsh C, O'Grady T, Nolan JJ, et al. Fasting plasma glucose as initial screening for diabetes and prediabetes in Irish adults: The diabetes mellitus and vascular health initiative (DMVhi). PLOS One. 2015; 10(4): e0122704. PMID: 25874867. [DOI:10.1371/journal.pone.0122704]
42. Khambalia A, Phongsavan P, Smith BJ, Keke K, Dan L, Fitzhardinge A, et al. Prevalence and risk factors of diabetes and impaired fasting glucose in Nauru. BMC Public Health. 2011; 11: 719. PMID: 21943388. [DOI:10.1186/1471-2458-11-719]
43. Sharpe PC. Biochemical detection and monitoring of alcohol abuse and abstinence. Ann Clin Biochem. 2001; 38(pt6): 652-4. PMID: 11732647. [DOI:10.1258/0004563011901064]
44. Kim DJ, Noh JH, Cho NH, et al. Serum γ‐glutamyltransferase within its normal concentration range is related to the presence of diabetes and cardiovascular risk factors. Diabet Med. 2005; 22(9): 1134-40. PMID: 16108838. [DOI:10.1111/j.1464-5491.2005.01581.x]
45. Jali MV, Kambar S. Prevalence of diabetes among the family members of known diabetics. Int J Diab Dev Ctries. 2006; 26: 81-5. [DOI:10.4103/0973-3930.28278]
46. Solomon MA, Yemane B, Alemayehu W, Abebayehu A. Diabetes mellitus in North West Ethiopia: A community based study. BMC Public Health. 2014; 14: 97. PMID: 24479725. [DOI:10.1186/1471-2458-14-97]
47. Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, et al. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: Systematic review and meta-analysis. Diabetologia. 2012; 55(11): 2895-905. PMID: 22890825. [DOI:10.1007/s00125-012-2677-z]
48. Agrawal P, Gupta K, Mishra V and Agrawal S. Effects of sedentary lifestyle and dietary habits on body mass index change among adult women in India: Findings from a follow-up study. Ecol Food Nutr. 2013; 52(5): 387-406. PMID: 23927045. [DOI:10.1080/03670244.2012.719346]
49. Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M. Prediabetes: A high-risk state for diabetes development. Lancet. 2012; 379(9833): 2279-90. PMID: 22683128. [DOI:10.1016/S0140-6736(12)60283-9]
50. Mohammed AS, Kamlesh B, Yahya MF, Shirley V, Ahmed M, Samir A, Abdullah M. Prevalence of prediabetes and associated risk factors in an adult Omani population. Int J Diab Dev Ctries. 2011; 31: 166-74. [DOI:10.1007/s13410-011-0038-y]

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