Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone

Samson Abebe; Wondimagegn Paulos; Rea Tschopp

doi:doi:10.11648/j.ijde.20230801.15

| Peer-Reviewed

Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone

Samson Abebe, Wondimagegn Paulos, Rea Tschopp

Published in International Journal of Diabetes and Endocrinology (Volume 8, Issue 1)

Received: 20 December 2022 Accepted: 9 January 2023 Published: 20 April 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The burden of disease caused by NCDs is quickly growing in emerging nations, with substantial social, economic, and health repercussions. However, data on the prevalence of diabetes and related variables among adults aged 25–64 years in Ethiopia, particularly in drought-stricken areas, is limited. The goal of this study is to find out how common diabetes is and what variables contribute to it in the middle-aged population. From January to February 2020, a community-based cross-sectional survey was undertaken among adults aged 25–64 years in Humbo district, southern Ethiopia. 587 people were chosen using a multi-stage sampling process. Weight, height, and fasting blood glucose levels were all measured. To enter data into a computer, Epi Data version 3.1 was utilized, which was subsequently exported to SPSS version 20 for analysis. Descriptive statistics and bivariate and multivariate logistic regression analyses were performed, and statistical significance was determined at a p-value of less than 0.05. Diabetes was found in 5.9% of the research participants (95 percent CI: 3.8–7.8). Age 45–54 (AOR = 4.80, 1.25, 18.32), physical inactivity (AOR = 5.33, 1.37, 20.72), family history of diabetes mellitus (AOR = 6.34, 95 percent CI: 2.43, 16.55), and obesity (AOR = 3.26, 95 percent CI: 1.43, 7.42) were all significantly associated with diabetes, according to multivariable logistic regression. The findings demonstrated the need for implementing educational public policies to encourage population behavior changes in order to prevent and control diabetes.

Published in	International Journal of Diabetes and Endocrinology (Volume 8, Issue 1)
DOI	10.11648/j.ijde.20230801.15
Page(s)	21-27
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), 2024. Published by Science Publishing Group

Keywords

Associated Factors, Diabetes, Prevalence, Fasting Blood Glucose, Ethiopia

References

[1]	World Health Organization. Diabetes Fact Sheet World Health Organization, No312. http://www. who.int/en/news-room/fact-sheets/detail/diabetes. 2013.
[2]	Tabish, S. A., Is diabetes becoming the biggest epidemic of the twenty-first century? International Journal of health sciences, 2007. 1 (2): p. V.
[3]	Cheng, D., Prevalence, predisposition and prevention of type II diabetes. Nutrition & metabolism, 2005. 2 (1): p. 1-12.
[4]	Saeedi, P., et al., Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas. Diabetes research and clinical practice, 2019. 157: p. 107843.
[5]	Federation., I. D., IDF Diabetes Atlas, 9th edn. Brussels, Belgium:. Available at: https://www.diabetesatlas.org, 2021.
[6]	IDF, DIABETES ATLAS international diabetes federation 2017.
[7]	Mensah, G. A., Tackling noncommunicable diseases in Africa: caveat lector. Health Education & Behavior, 2016. 43 (1_suppl): p. 7S-13S.
[8]	Wild, S., et al., Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes care, 2004. 27 (5): p. 1047-1053.
[9]	Assembly, U., Resolution 66/2, Political declaration of the high level meeting of the general assembly on the prevention and control of non-communicable diseases. 2012, A/RES/66/2 In.
[10]	Organization, W. H., Classification of diabetes mellitus. 2019.
[11]	Organization, W. H., Global report on diabetes. 2016: World Health Organization.
[12]	Federation, I. D. and I. Atlas, International Diabetes Federation. IDF diabetes atlas, 6th edn Brussels, Belgium: International Diabetes Federation, 2013.
[13]	Association, A. D., Diagnosis and classification of diabetes mellitus. Diabetes care, 2009. 32 (Supplement_1): p. S62-S67.
[14]	FMOH.. Ethiopia_National Strategic Action Plan (NSAP) for Prevention and Control of Non-Communicable Diseases. 1-265., 2014.
[15]	Gyening, K., et al., Physical inactivity and its associated disease prevalence among civil servants in Accra, Ghana: a retrospective study. Medical Journal of Zambia, 2018. 45 (3): p. 117-122.
[16]	Gatimu, S. M., B. W. Milimo, and M. S. Sebastian, Prevalence and determinants of diabetes among older adults in Ghana. BMC public health, 2016. 16 (1): p. 1-12.
[17]	https://www.:p.statsethiopia.gov.et/wp-content/uploads/2019/11/Projected-Population-of-Ethiopia-20112019.
[18]	Census, Southern Nations, Nationalities, and Peoples' Region Archived November 13, 2012, at the Wayback Machine, Tables 2.1, and 3.4. 2007 Tables.
[19]	Abebe, S. M., et al., Diabetes mellitus in North West Ethiopia: a community based study. BMC public health, 2014. 14 (1): p. 1-8.
[20]	WHO, The WHO STEPwise approach to Surveillance of noncommunicable diseases (STEPS). STEPwise approach to surveillance (STEPS) [webpage on the Internet] Geneva: World Health Organization, 2015.
[21]	Longo-Mbenza, B., et al., Screen detection and the WHO stepwise approach to the prevalence and risk factors of arterial hypertension in Kinshasa. European Journal of Preventive Cardiology, 2008. 15 (5): p. 503-508.
[22]	World Health Organization. STEP wise approach to surveillance (STEPS). Chronic diseases and health promotion. 2012.
[23]	Stevens G, M. M., Mathers C. WHO Brochure»., 2009:. Bulletin of the World Health Organization;. Vol. 87.: p. 646.
[24]	Animaw, W. and Y. Seyoum, Increasing prevalence of diabetes mellitus in a developing country and its related factors. Plos one, 2017. 12 (11): p. e0187670.
[25]	Ethiopian, Diabetes Association. 2014. Available from: http://www.diabetesethiopia.org.et/. Accessed June 12, 2017.
[26]	International, diabetes federation Africa. Diabetes in Ethiopia-2013; 2014. Available from: http://www.idf.org/membership/afr/ethiopia. Accessed June 12, 2017.
[27]	IDF, Diabetes Atlas. 5th ed. 2012 updates.
[28]	Maedler, K., et al., Aging correlates with decreased β-cell proliferative capacity and enhanced sensitivity to apoptosis: a potential role for Fas and pancreatic duodenal homeobox-1. Diabetes, 2006. 55 (9): p. 2455-2462.
[29]	Steyn, NP, Mann J, Bennett PH, Temple N, Zimmet P, et al. (2004) Diet, nutrition and the prevention of type 2 diabetes. Public Health Nutr 7 (1A): 147-165.
[30]	Chiu,, Austin PC, Manuel DG, Shah BR, Tu JV (2011) Deriving ethnicspecific BMI cutoff points for assessing diabetes risk. Diabetes Care 34 (8): 1741-1748.
[31]	Fletcher, B, Gulanick M, Lamendola C. Risk Factors for Type 2 Diabetes Mellitus. J Cardiovasc Nurs 2002; 16: 17-23.
[32]	Deng, Y. and P. E. Scherer, Adipokines as novel biomarkers and regulators of the metabolic syndrome. Annals of the New York Academy of Sciences, 2010. 1212 (1): p. E1-E19.
[33]	Larson-Meyer, D., et al., Intrahepatic and intramyocellular lipids are determinants of insulin resistance in prepubertal children. Diabetologia, 2011. 54 (4): p. 869-875.
[34]	de Mello, A. H., et al., Mitochondrial dysfunction in obesity. Life sciences, 2018. 192: p. 26-32.
[35]	Amsalu Taye Wondemagegn, H. M. B., Dagninet Derebe Abie, and T. Y. T. Getachew Mengistu Ayalneh, Mequanint Taddele Tessema, Undiagnosed diabetes mellitus and related factors in East Gojjam (NW Ethiopia): A community-based study. Journal of Public Health Research 2016. volume 6: 834.
[36]	Danquah, I, Bedu-Addo G, Terpe KJ, Micah F, Amoako YA, Awuku YA, Dietz E, van der Giet M, Spranger J, Mockenhaupt FP: Diabetes mellitus type 2 in urban Ghana: characteristics and associated factors. BMC Public Health. 2012, 12: 210-10.1186/1471-2458-12-210.

Cite This Article

Plain Text BibTeX RIS

APA Style

Samson Abebe, Wondimagegn Paulos, Rea Tschopp. (2023). Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. International Journal of Diabetes and Endocrinology, 8(1), 21-27. https://doi.org/10.11648/j.ijde.20230801.15

Copy | Download

ACS Style

Samson Abebe; Wondimagegn Paulos; Rea Tschopp. Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. Int. J. Diabetes Endocrinol. 2023, 8(1), 21-27. doi: 10.11648/j.ijde.20230801.15

Copy | Download

AMA Style

Samson Abebe, Wondimagegn Paulos, Rea Tschopp. Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. Int J Diabetes Endocrinol. 2023;8(1):21-27. doi: 10.11648/j.ijde.20230801.15

Copy | Download

@article{10.11648/j.ijde.20230801.15,
  author = {Samson Abebe and Wondimagegn Paulos and Rea Tschopp},
  title = {Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone},
  journal = {International Journal of Diabetes and Endocrinology},
  volume = {8},
  number = {1},
  pages = {21-27},
  doi = {10.11648/j.ijde.20230801.15},
  url = {https://doi.org/10.11648/j.ijde.20230801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijde.20230801.15},
  abstract = {The burden of disease caused by NCDs is quickly growing in emerging nations, with substantial social, economic, and health repercussions. However, data on the prevalence of diabetes and related variables among adults aged 25–64 years in Ethiopia, particularly in drought-stricken areas, is limited. The goal of this study is to find out how common diabetes is and what variables contribute to it in the middle-aged population. From January to February 2020, a community-based cross-sectional survey was undertaken among adults aged 25–64 years in Humbo district, southern Ethiopia. 587 people were chosen using a multi-stage sampling process. Weight, height, and fasting blood glucose levels were all measured. To enter data into a computer, Epi Data version 3.1 was utilized, which was subsequently exported to SPSS version 20 for analysis. Descriptive statistics and bivariate and multivariate logistic regression analyses were performed, and statistical significance was determined at a p-value of less than 0.05. Diabetes was found in 5.9% of the research participants (95 percent CI: 3.8–7.8). Age 45–54 (AOR = 4.80, 1.25, 18.32), physical inactivity (AOR = 5.33, 1.37, 20.72), family history of diabetes mellitus (AOR = 6.34, 95 percent CI: 2.43, 16.55), and obesity (AOR = 3.26, 95 percent CI: 1.43, 7.42) were all significantly associated with diabetes, according to multivariable logistic regression. The findings demonstrated the need for implementing educational public policies to encourage population behavior changes in order to prevent and control diabetes.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone
AU  - Samson Abebe
AU  - Wondimagegn Paulos
AU  - Rea Tschopp
Y1  - 2023/04/20
PY  - 2023
N1  - https://doi.org/10.11648/j.ijde.20230801.15
DO  - 10.11648/j.ijde.20230801.15
T2  - International Journal of Diabetes and Endocrinology
JF  - International Journal of Diabetes and Endocrinology
JO  - International Journal of Diabetes and Endocrinology
SP  - 21
EP  - 27
PB  - Science Publishing Group
SN  - 2640-1371
UR  - https://doi.org/10.11648/j.ijde.20230801.15
AB  - The burden of disease caused by NCDs is quickly growing in emerging nations, with substantial social, economic, and health repercussions. However, data on the prevalence of diabetes and related variables among adults aged 25–64 years in Ethiopia, particularly in drought-stricken areas, is limited. The goal of this study is to find out how common diabetes is and what variables contribute to it in the middle-aged population. From January to February 2020, a community-based cross-sectional survey was undertaken among adults aged 25–64 years in Humbo district, southern Ethiopia. 587 people were chosen using a multi-stage sampling process. Weight, height, and fasting blood glucose levels were all measured. To enter data into a computer, Epi Data version 3.1 was utilized, which was subsequently exported to SPSS version 20 for analysis. Descriptive statistics and bivariate and multivariate logistic regression analyses were performed, and statistical significance was determined at a p-value of less than 0.05. Diabetes was found in 5.9% of the research participants (95 percent CI: 3.8–7.8). Age 45–54 (AOR = 4.80, 1.25, 18.32), physical inactivity (AOR = 5.33, 1.37, 20.72), family history of diabetes mellitus (AOR = 6.34, 95 percent CI: 2.43, 16.55), and obesity (AOR = 3.26, 95 percent CI: 1.43, 7.42) were all significantly associated with diabetes, according to multivariable logistic regression. The findings demonstrated the need for implementing educational public policies to encourage population behavior changes in order to prevent and control diabetes.
VL  - 8
IS  - 1
ER  -

Copy | Download

Author Information

Samson Abebe

Armauer Hansen Research Institute, Addis Ababa, Ethiopia
Wondimagegn Paulos

College of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia
Rea Tschopp

Armauer Hansen Research Institute, Addis Ababa, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Samson Abebe, Wondimagegn Paulos, Rea Tschopp. (2023). Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. International Journal of Diabetes and Endocrinology, 8(1), 21-27. https://doi.org/10.11648/j.ijde.20230801.15

Copy | Download

ACS Style

Samson Abebe; Wondimagegn Paulos; Rea Tschopp. Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. Int. J. Diabetes Endocrinol. 2023, 8(1), 21-27. doi: 10.11648/j.ijde.20230801.15

Copy | Download

AMA Style

Samson Abebe, Wondimagegn Paulos, Rea Tschopp. Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone. Int J Diabetes Endocrinol. 2023;8(1):21-27. doi: 10.11648/j.ijde.20230801.15

Copy | Download

@article{10.11648/j.ijde.20230801.15,
  author = {Samson Abebe and Wondimagegn Paulos and Rea Tschopp},
  title = {Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone},
  journal = {International Journal of Diabetes and Endocrinology},
  volume = {8},
  number = {1},
  pages = {21-27},
  doi = {10.11648/j.ijde.20230801.15},
  url = {https://doi.org/10.11648/j.ijde.20230801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijde.20230801.15},
  abstract = {The burden of disease caused by NCDs is quickly growing in emerging nations, with substantial social, economic, and health repercussions. However, data on the prevalence of diabetes and related variables among adults aged 25–64 years in Ethiopia, particularly in drought-stricken areas, is limited. The goal of this study is to find out how common diabetes is and what variables contribute to it in the middle-aged population. From January to February 2020, a community-based cross-sectional survey was undertaken among adults aged 25–64 years in Humbo district, southern Ethiopia. 587 people were chosen using a multi-stage sampling process. Weight, height, and fasting blood glucose levels were all measured. To enter data into a computer, Epi Data version 3.1 was utilized, which was subsequently exported to SPSS version 20 for analysis. Descriptive statistics and bivariate and multivariate logistic regression analyses were performed, and statistical significance was determined at a p-value of less than 0.05. Diabetes was found in 5.9% of the research participants (95 percent CI: 3.8–7.8). Age 45–54 (AOR = 4.80, 1.25, 18.32), physical inactivity (AOR = 5.33, 1.37, 20.72), family history of diabetes mellitus (AOR = 6.34, 95 percent CI: 2.43, 16.55), and obesity (AOR = 3.26, 95 percent CI: 1.43, 7.42) were all significantly associated with diabetes, according to multivariable logistic regression. The findings demonstrated the need for implementing educational public policies to encourage population behavior changes in order to prevent and control diabetes.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Diabetes Prevalence and Associated Factors in the Adult Population Aged 25–64 in the Humbo Districts of Woliata Zone
AU  - Samson Abebe
AU  - Wondimagegn Paulos
AU  - Rea Tschopp
Y1  - 2023/04/20
PY  - 2023
N1  - https://doi.org/10.11648/j.ijde.20230801.15
DO  - 10.11648/j.ijde.20230801.15
T2  - International Journal of Diabetes and Endocrinology
JF  - International Journal of Diabetes and Endocrinology
JO  - International Journal of Diabetes and Endocrinology
SP  - 21
EP  - 27
PB  - Science Publishing Group
SN  - 2640-1371
UR  - https://doi.org/10.11648/j.ijde.20230801.15
AB  - The burden of disease caused by NCDs is quickly growing in emerging nations, with substantial social, economic, and health repercussions. However, data on the prevalence of diabetes and related variables among adults aged 25–64 years in Ethiopia, particularly in drought-stricken areas, is limited. The goal of this study is to find out how common diabetes is and what variables contribute to it in the middle-aged population. From January to February 2020, a community-based cross-sectional survey was undertaken among adults aged 25–64 years in Humbo district, southern Ethiopia. 587 people were chosen using a multi-stage sampling process. Weight, height, and fasting blood glucose levels were all measured. To enter data into a computer, Epi Data version 3.1 was utilized, which was subsequently exported to SPSS version 20 for analysis. Descriptive statistics and bivariate and multivariate logistic regression analyses were performed, and statistical significance was determined at a p-value of less than 0.05. Diabetes was found in 5.9% of the research participants (95 percent CI: 3.8–7.8). Age 45–54 (AOR = 4.80, 1.25, 18.32), physical inactivity (AOR = 5.33, 1.37, 20.72), family history of diabetes mellitus (AOR = 6.34, 95 percent CI: 2.43, 16.55), and obesity (AOR = 3.26, 95 percent CI: 1.43, 7.42) were all significantly associated with diabetes, according to multivariable logistic regression. The findings demonstrated the need for implementing educational public policies to encourage population behavior changes in order to prevent and control diabetes.
VL  - 8
IS  - 1
ER  -

Copy | Download