Diabetes Miletus (DM) is a common endocrine disorder characterized by hyperglycemia, often manifesting with symptoms and signs of osmotic diuresis such as polyuria, polydipsia, and polyphagia. The prevalence of DM in Ethiopia was 1.9% in 2017. Although the magnitude of DM is raised from time to time in Ethiopia; there are no or little pieces of evidence about the current magnitude and its associated factors in the study setting. This study aimed to assess the prevalence of diabetes Miletus, and associated factors among individuals above the age of 15 years attending health facilities in Bahir Dar Town, Ethiopia, 2019. Facility based cross-sectional study was employed in Bahir Dar town from January 01 to February 30, 2020. Data was collected from selected health facilities by trained health workers using data collector administrator's questionnaire, and physical examination to get the required information. The data was entered and analyzed using SPSS version 23. Descriptive statics were used to summarize the characteristics of the study participants. Bivariate and multivariable logistic regression analyses were used to assess the association between explanatory variables and the outcome variable. Statistical significance was interpreted using an odds OR odds ratio with a 95% confidence interval and p-value <0.05. A total of 1,525 participants were included in the study. The prevalence of DM was found to be 7.3% (112 / 1,525). High waist circumference; AOR= 4.9; 95% CI (2.3 – 10.9), body mass index greater than 25 kg.m-2 AOR = 9.6; 95%CI (4.1 – 22.8), Age 54 years and above; AOR = 5.2; 95% CI (3.2 – 8.4), having family history of Diabetes Miletus; AOR = 7.5; 95% CI (4.0 – 14.62) and didn't eat fruit at all per day; AOR = 9.6; 95% CI (5.0 – 18.0) were significantly associated with DM. Alcohol drinking was a protective factor for diabetes. AOR=0.3; 95% CI (0.2- 0.7) were significantly associated. In this study, a higher prevalence of diabetes mellitus was observed than the International Diabetic Federation Atlas (IDFA) reported a projected estimate of DM for Ethiopia. Both modifiable (low fruit intake, overweight/obese) and non-modifiable (Age 54 years and above, Family History of DM) associated risk factors were identified. Targeting the prevention strategy to modifiable risk factors might reduce the prevalence of diabetes mellitus in the area. For non-modifiable risk factors, frequent screening and creating awareness about the disease for early detection and treatment are essential.
Published in | Biomedical Statistics and Informatics (Volume 7, Issue 3) |
DOI | 10.11648/j.bsi.20220703.12 |
Page(s) | 49-59 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Diabetes Miletus, Prevalence, Factors Associated, Bahir Dar, Ethiopia
[1] | Tizazu G, Anteneh T. Internal Medicine. Produced in collaboration with the Ethiopian Health Training Initiative, The Carter Center, The Ethiopian Ministry of Health, and the Ethiopian Ministry of Education. 2006; |
[2] | Chobanian A V., Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42 (6): 1206–52. |
[3] | Cataloguing WL. Global Report on Diabetes. Isbn [Internet]. 2016; 978: 6–86. Available from: http://www.who.int/about/licensing/ |
[4] | Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S et al. Global, regional, and national comparative risk assessment of 79 behavioral, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis of the Global Burden of Disease Study 2015. Lancet [Internet]. 2016 Oct; 388 (10053): 1659–724. Available from: file:///Users/ximeneacarballo/Downloads/IDF_DA_8e-EN-final.pdf |
[5] | Abebe SM, Berhane Y, Worku A, Assefa A. Diabetes mellitus in North West Ethiopia: A community-based study. BMC Public Health [Internet]. 2014; 14 (1): 1–8. Available from: BMC Public Health. |
[6] | Centers for Disease Control and Prevention UD of H and HS. Centers for Disease Control and Prevention. National Diabetes Fact Sheet, 2011. 2011; |
[7] | Vinay Kumar, Abul K. Abbas JCA. Robbins and Cotran’s Pathological Basis of Disease [Internet]. Vol. 2, Elsevier Health Sciences. 2014. 897–957 p. Available from: https://www.semanticscholar.org/paper/Robbins-and-Cotran-pathologic-basis-of-disease-Kumar/d04446d9754f21f43ebfda30fb3d5702c29e97d2 |
[8] | Uhomoibhi PE, The OF, For R, Degree THE, Masters OF. SCHOOL OF GRADUATE STUDIES PREVALENCE AND DETERMINANTS OF DIABETES MELLITUS AND IMPAIRED FASTING GLUCOSE AMONG WORKERS AT THE SPARE PARTS SHARED SCHOOL OF GRADUATE STUDIES PREVALENCE AND DETERMINANTS OF DIABETES MELLITUS AND IMPAIRED FASTING GLUCOSE AMONG. 2003; 1–104. |
[9] | Annis AM, Caulder MS, Cook ML, Duquette D. Family History Diabetes, and Other Demographic and Risk Factors Among Participants of the National Health and Nutrition Examination Survey 1999 – 2002. 2005; 2 (2): 1–12. |
[10] | Asiimwe D, Mauti GO, Kiconco R. Prevalence and Risk Factors Associated with Type 2 Diabetes in Elderly Patients Aged 45-80 Years at Kanungu District. J Diabetes Res. 2020; 2020. |
[11] | WHO. WHO-CHERG Methods and Data Sources for Country-Level Causes of Death 2000 - 2012. 2014; |
[12] | Radzeviciene L, Ostrauskas R. Smoking habits and type 2 diabetes mellitus in women. Women Heal. 2018; 58 (8): 884–97. |
[13] | Aynalem SB, Zeleke AJ. Prevalence of Diabetes Mellitus and Its Risk Factors among Individuals Aged 15 Years and above in Mizan-Aman Town, Southwest Ethiopia, 2016: A Cross-Sectional Study. Int J Endocrinol. 2018; 2018. |
[14] | Harcourt P, Harcourt P. Risk Factors for Diabetes Mellitus among adult Residents of a Rural District in Southern Nigeria: Implications for Prevention and Control. 2018; |
[15] | Bantie GM, Wondaye AA, Arike EB, Melaku MT, Ejigu, ST, Lule A, et al. Prevalence of undiagnosed diabetes mellitus and associated factors among adult residents of Bahir Dar city, northwest Ethiopia: a community-based cross-sectional study. BMJ Open. 2019; 9 (10): 1–7. |
[16] | Wang R, Zhang P, Li Z, Lv X, Cai H, Gao C, et al. The prevalence of prediabetes and diabetes and their associated factors in Northeast China: a cross-sectional study. Sci Rep. 2019; 9 (1): 1–8. |
[17] | Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Pal A, et al. Prevalence and risk factors of diabetes in a large community-based study in North India: results from a STEPS survey in Punjab, India. Diabetol Metab Syndr. 2017; 9 (1): 1–8. |
[18] | Agbogli HK, Annan R. Archives of Clinical and Biomedical Research Prevalence and Risk Factors of Diabetes Mellitus Among the Inhabitants of Kumasi Metropolis. 2017; 1 (4): 224–34. |
[19] | Town B, Shoa E, Institutions S, Shoa E. Prevalence of Undiagnosed Diabetes Mellitus and Its Risk Factors in Selected Diabetes & Metabolism Prevalence of Undiagnosed Diabetes Mellitus and its Risk Factors in. 2013; (May 2014). |
[20] | Ahmed SM, Mansour M Al. A study on the prevalence of risk factors for diabetes and hypertension among school children in Majmaah, Kingdom of Saudi Arabia, on commercial use. 2017; 6: 14–9. |
[21] | Chen G, Xu X, Fan J. Prevalence of and Risk Factors for Type 2 Diabetes Mellitus in Hyperlipidemia in China. 2015; 2476–84. |
[22] | Acharya AS, Singh A, Dhiman B. Assessment of Diabetes Risk in an Adult Population Using Indian Diabetes Risk Score in an Urban Resettlement Colony of Delhi. 2017; 65 (March): 46–51. |
[23] | Tesfaye T, Shakur B, Shimels T, Firdu N. Prevalence and factors associated with diabetes mellitus and impaired fasting glucose levels among members of the federal police commission residing in Addis Ababa, Ethiopia. BMC Endocr Disord [Internet]. 2016; 16 (1): 1–9. Available from: http://dx.doi.org/10.1186/s12902-016-0150-6 |
[24] | Zekewos A, Loha E, Egeno T, Wubshet K, Merga Z. Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community-Based Study. Ethiop J Health Sci. 2018; 28 (4): 451–60. |
[25] | Wondemagegn AT, Bizuayehu HM, Abie DD, Ayalneh GM, Tiruye TY, Tessema MT. Undiagnosed diabetes mellitus and related factors in East Gojjam (NW Ethiopia) in 2016: A community-based study. J Public health Res. 2017; 6 (1): 18–23. |
[26] | Prevalence and risk factors for diabetes mellitus and impaired fasting glucose among adults aged 15-64 years in Gilgel Gibe Field Research Center, southwest Ethiopia, 2013 : through a step-wise approach. 2015; 2 (4): 4–11. |
[27] | Ambachew Y, Kahsay S, Tesfay R, Tesfahun L, Amare H, Mehari A. Prevalence of diabetes mellitus among patients visiting medical outpatient department of Ayder referral hospital, Mekelle, Ethiopia : Three years pooled. Int J Pharma Sci Res. 2015; 6 (02): 435–9. |
[28] | Arya R, Antonisamy B. Sample Size Estimation in Prevalence Studies. 2012; (May 2014). |
[29] | WHO_NCD_NCS_99.2.pdf. |
[30] | Hing E, Hall MJ, Xu J. National Hospital Ambulatory Medical Care Survey: 2006 outpatient department summary. Natl Health Stat Report. 2008; (4). |
[31] | WHO. DISTRIBUTION : GENERAL Summary Surveillance of risk factors for noncommunicable diseases, The WHO STEPwise approach, Noncommunicable Diseases, and Mental Health. World Heal Organ. 2001; |
[32] | Consultation WHOE. Waist Circumference and Waist-Hip Ratio Report of a WHO Expert Consultation. 2008; (December): 8–11. |
[33] | Slavin JU M, Lloyd Beate PNG. Health Benefits Of Cassava Karrapendalam. www.yadtek.com › Heal › Diet Nutr [Internet]. 2012; 3 (4): 506–16. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649719/ |
[34] | World Health Organization. WHO STEPS Instrument (Core and Expanded) STEPS Instrument Overview. 2012; 18. Available from: www.who.int/CHP/steps |
[35] | Abas AH. Prevalence and associated risk factors for type 2 diabetes mellitus among adults (> = 40 years of age) in jigjiga City, Somali region, Eastern Ethiopia. 2019; (April). |
[36] | Internation Diabetes Federation. IDF Diabetes Atlas Ninth [Internet]. Dunia : IDF. 2019. 168 p. Available from: https://diabetesatlas.org/en/sections/worldwide-toll-of-diabetes.html |
[37] | Hu M, Wan Y, Yu L, Yuan J, Ma Y, Hou B, et al. Prevalence, Awareness and Associated Risk Factors of Diabetes among Adults in Xi ' an China. Sci Rep [Internet]. 2017; (August): 1–9. Available from: http://dx.doi.org/10.1038/s41598-017-10797-x |
[38] | Mohamed SF, Mwangi M, Mutua MK, Kibachio J, Hussein A, Ndegwa Z, et al. Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya : results from a national survey. 2018; 18 (Suppl 3). |
[39] | Ruhembe CC, Mosha TCE, Nyaruhucha CNM. Prevalence and awareness of type 2 diabetes mellitus among adult population in Mwanza city, Tanzania. 2014; 16 (2): 1–11. |
[40] | Ahmad J, Masoodi M. Ahmad, J Masoodi,. Al Ameen J. [Internet]. 2011; 4: 38–44. Available from: http://ajms.alameenmedical.org/ArticlePDFs/AJMS4.1.38-44.pdf |
[41] | Risk M. The Prevalence of Metabolic Syndrome and Determination of the Optimal Waist in South African Community. 2011; 34 (October 2010). |
[42] | Ruan Y, Mo M, Joss-Moore L, Li YY, Yang Q Di, Shi L, et al. Increased waist circumference and prevalence of type 2 diabetes and hypertension in Chinese adults : two surveys in Shanghai, China. 2013; |
[43] | Asmelash D. Prevalence of Diabetes Mellitus, Prediabetes and Its Associated Factors in Dessie Town, Northeast Ethiopia : A Community-Based Study. 2019; |
[44] | Health N. Prevalence of Diabetes and Impaired Fasting Glucose in Adults in the U. S. 2006; 29 (6). |
[45] | Africa S. SILENCE OF DIABETES LITUS AND IMPAIRED GLUCOSE TOLERANCE IN FACTORY WORKERS FROM. 2001; |
[46] | State U. National Diabetes Fact Sheet, 2011; 1–10. |
APA Style
Mengistu Biru, Tewdros Getinet, Mikias Alayu, Neamine Tesfaye, Adamu Tayachew. (2022). Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study. Biomedical Statistics and Informatics, 7(3), 49-59. https://doi.org/10.11648/j.bsi.20220703.12
ACS Style
Mengistu Biru; Tewdros Getinet; Mikias Alayu; Neamine Tesfaye; Adamu Tayachew. Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study. Biomed. Stat. Inform. 2022, 7(3), 49-59. doi: 10.11648/j.bsi.20220703.12
AMA Style
Mengistu Biru, Tewdros Getinet, Mikias Alayu, Neamine Tesfaye, Adamu Tayachew. Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study. Biomed Stat Inform. 2022;7(3):49-59. doi: 10.11648/j.bsi.20220703.12
@article{10.11648/j.bsi.20220703.12, author = {Mengistu Biru and Tewdros Getinet and Mikias Alayu and Neamine Tesfaye and Adamu Tayachew}, title = {Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study}, journal = {Biomedical Statistics and Informatics}, volume = {7}, number = {3}, pages = {49-59}, doi = {10.11648/j.bsi.20220703.12}, url = {https://doi.org/10.11648/j.bsi.20220703.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20220703.12}, abstract = {Diabetes Miletus (DM) is a common endocrine disorder characterized by hyperglycemia, often manifesting with symptoms and signs of osmotic diuresis such as polyuria, polydipsia, and polyphagia. The prevalence of DM in Ethiopia was 1.9% in 2017. Although the magnitude of DM is raised from time to time in Ethiopia; there are no or little pieces of evidence about the current magnitude and its associated factors in the study setting. This study aimed to assess the prevalence of diabetes Miletus, and associated factors among individuals above the age of 15 years attending health facilities in Bahir Dar Town, Ethiopia, 2019. Facility based cross-sectional study was employed in Bahir Dar town from January 01 to February 30, 2020. Data was collected from selected health facilities by trained health workers using data collector administrator's questionnaire, and physical examination to get the required information. The data was entered and analyzed using SPSS version 23. Descriptive statics were used to summarize the characteristics of the study participants. Bivariate and multivariable logistic regression analyses were used to assess the association between explanatory variables and the outcome variable. Statistical significance was interpreted using an odds OR odds ratio with a 95% confidence interval and p-value -2 AOR = 9.6; 95%CI (4.1 – 22.8), Age 54 years and above; AOR = 5.2; 95% CI (3.2 – 8.4), having family history of Diabetes Miletus; AOR = 7.5; 95% CI (4.0 – 14.62) and didn't eat fruit at all per day; AOR = 9.6; 95% CI (5.0 – 18.0) were significantly associated with DM. Alcohol drinking was a protective factor for diabetes. AOR=0.3; 95% CI (0.2- 0.7) were significantly associated. In this study, a higher prevalence of diabetes mellitus was observed than the International Diabetic Federation Atlas (IDFA) reported a projected estimate of DM for Ethiopia. Both modifiable (low fruit intake, overweight/obese) and non-modifiable (Age 54 years and above, Family History of DM) associated risk factors were identified. Targeting the prevention strategy to modifiable risk factors might reduce the prevalence of diabetes mellitus in the area. For non-modifiable risk factors, frequent screening and creating awareness about the disease for early detection and treatment are essential.}, year = {2022} }
TY - JOUR T1 - Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study AU - Mengistu Biru AU - Tewdros Getinet AU - Mikias Alayu AU - Neamine Tesfaye AU - Adamu Tayachew Y1 - 2022/08/17 PY - 2022 N1 - https://doi.org/10.11648/j.bsi.20220703.12 DO - 10.11648/j.bsi.20220703.12 T2 - Biomedical Statistics and Informatics JF - Biomedical Statistics and Informatics JO - Biomedical Statistics and Informatics SP - 49 EP - 59 PB - Science Publishing Group SN - 2578-8728 UR - https://doi.org/10.11648/j.bsi.20220703.12 AB - Diabetes Miletus (DM) is a common endocrine disorder characterized by hyperglycemia, often manifesting with symptoms and signs of osmotic diuresis such as polyuria, polydipsia, and polyphagia. The prevalence of DM in Ethiopia was 1.9% in 2017. Although the magnitude of DM is raised from time to time in Ethiopia; there are no or little pieces of evidence about the current magnitude and its associated factors in the study setting. This study aimed to assess the prevalence of diabetes Miletus, and associated factors among individuals above the age of 15 years attending health facilities in Bahir Dar Town, Ethiopia, 2019. Facility based cross-sectional study was employed in Bahir Dar town from January 01 to February 30, 2020. Data was collected from selected health facilities by trained health workers using data collector administrator's questionnaire, and physical examination to get the required information. The data was entered and analyzed using SPSS version 23. Descriptive statics were used to summarize the characteristics of the study participants. Bivariate and multivariable logistic regression analyses were used to assess the association between explanatory variables and the outcome variable. Statistical significance was interpreted using an odds OR odds ratio with a 95% confidence interval and p-value -2 AOR = 9.6; 95%CI (4.1 – 22.8), Age 54 years and above; AOR = 5.2; 95% CI (3.2 – 8.4), having family history of Diabetes Miletus; AOR = 7.5; 95% CI (4.0 – 14.62) and didn't eat fruit at all per day; AOR = 9.6; 95% CI (5.0 – 18.0) were significantly associated with DM. Alcohol drinking was a protective factor for diabetes. AOR=0.3; 95% CI (0.2- 0.7) were significantly associated. In this study, a higher prevalence of diabetes mellitus was observed than the International Diabetic Federation Atlas (IDFA) reported a projected estimate of DM for Ethiopia. Both modifiable (low fruit intake, overweight/obese) and non-modifiable (Age 54 years and above, Family History of DM) associated risk factors were identified. Targeting the prevention strategy to modifiable risk factors might reduce the prevalence of diabetes mellitus in the area. For non-modifiable risk factors, frequent screening and creating awareness about the disease for early detection and treatment are essential. VL - 7 IS - 3 ER -