Central obesity is defined as its excessive accumulation of visceral fat around the abdomen. It has become a significant public health concern and a major risk factor for non-communicable diseases (NCDs) in developing countries like Ethiopia. The study fills the knowledge gap and detects central obesity in civil servants in the West Gojjame zone office workers. Objective: To assess the magnitude of central obesity and its associated factors among civil servants in West Gojjam Zonal government office, North West Ethiopia, 2024. Methods: An institutional-based cross-sectional study was conducted among 567 civil servants in the West Gojjam Zone government office from August 7 to September 1, 2024. Study participants were selected using a simple random sampling technique, and data were collected through face-to-face interviews using a pretested structured questionnaire. The collected data were entered into Epi-Data version 3.1 and then exported to Stata version 17 for analysis. Binary logistic regression analysis was performed to identify factors associated with central obesity. Variables with a p-value of ≤ 0.25 in the bivariable binary logistic regression analysis were included in the multivariable binary logistic regression analysis. The odds ratio with a 95% Confidence Interval (CI) was calculated to assess the strength of the association. Results: The prevalence of central obesity among civil servants was 27.8% (95% CI: 24.1, 31.8). Factors positively associated with central obesity included older age (AOR=4.5, 95% CI: 2.3, 8.8), being female (AOR=2.5, 95% CI: 1.5, 4.2), and having an income above the poverty line (AOR=18.4, 95% CI: 7.9, 42.9). In contrast, a borderline food consumption score (AOR=2.2, 95% CI: 1.1, 4.2) and physical inactivity (AOR=2.5, 95% CI: 1.4, 4.5) were negatively associated with central obesity. Conclusion and Recommendations: Central obesity is prevalent in the West Gojjam Zone government office, affecting one in two women and one in five men, with factors like Being a female, older age, richest monthly income, inadequate food consumption score and physical inactivity significantly associated with central obesity among civil servants. Workplace health programs and campaigns targeting women and older adults are crucial, along with government policies promoting physical activity. Office workers should aim for at least 150 minutes of moderate or 75 minutes of vigorous weekly aerobic exercise.
| Published in | European Journal of Preventive Medicine (Volume 14, Issue 4) |
| DOI | 10.11648/j.ejpm.20261404.13 |
| Page(s) | 74-85 |
| 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), 2026. Published by Science Publishing Group |
Magnitude, Central Obesity, Associated Factors, Civil Servants, West, Gojjam Zone
Variable | Category | Frequency | percent |
|---|---|---|---|
Age | Yung Age (18-35) | 191 | 33.7 |
Middle age adults (36–55) | 200 | 35.3 | |
old age adults (≥60) | 176 | 31.0 | |
Sex | Male | 342 | 60.3 |
Female | 225 | 39.7 | |
Marital status | Single | 124 | 21.9 |
Married | 234 | 41.3 | |
Divorced | 118 | 20.8 | |
widowed | 91 | 16.0 | |
Education | Primary (9-12) | 19 | 3.4 |
Diploma | 150 | 26.5 | |
Degree | 293 | 51.7 | |
Masters | 105 | 18.5 | |
Family size | <5 | 355 | 62.6 |
≥5 | 212 | 37.4 | |
Monthly income | below poverty line | 190 | 33.5 |
Above poverty line | 377 | 66.5 |
Variables | Category | Frequency | percent |
|---|---|---|---|
Alcohol consumption | Non-drinker | 391 | 69.0 |
Drinker | 176 | 31.0 | |
dietary consumption score | Acceptable | 167 | 29.5 |
Borderline | 253 | 44.6 | |
Poor | 147 | 25.9 | |
Physical Activity | Active | 294 | 51.9 |
Inactive | 273 | 48.2 | |
Majorly eat | From- home prepared | 372 | 65.6 |
From- hotel/cafeteria | 195 | 34.4 | |
Work experience | <3 | 197 | 34.7 |
≥3 | 370 | 65.3 | |
Additional work | Yes | 260 | 45.9 |
No | 307 | 54.1 |
Variables | Category | Central obesity | COR 95%CI | AOR, 95%CI | |
|---|---|---|---|---|---|
Yes | No | ||||
Age | Yang age (18-35) | 36 | 155 | 1 | 1 |
Middle age (36-55) | 39 | 161 | 1.0 (0.6,1.7) | 0.9 (0.5,1.8) | |
old age (≥65) | 83 | 93 | 3.8 (2.4,6.1) * | 4.5 (2.3,8.8) ** | |
Sex | Male | 59 | 283 | 1 | 1 |
Female | 99 | 126 | 3.8 (2.6,5.5) * | 2.5 (1.5,4.2) ** | |
Family size | <5 | 51 | 304 | 1 | 1 |
≥5 | 107 | 105 | 6.1 (4.1,9.1) * | 12.2 (6.7,22.2) ** | |
Monthly Income | Poverty line | 10 | 180 | 1 | 1 |
above Poverty line | 148 | 229 | 11.6 (6.0,22.7) * | 18.4 (7.9,42.9) ** | |
Additional work | Yes | 26 | 234 | 1 | 1 |
No | 132 | 175 | 2.1 (1.5 3.1) * | 1.7 (1.0,2.9) | |
Dietary diversity | Acceptable | 43 | 129 | 1 | 1 |
Borderline | 87 | 121 | 2.2 (1.4,3.4) * | 2.2 (1.1,4.2) ** | |
Poor | 28 | 159 | 0.5 (0.3,0.9) | 0.5 (0.3,1.1) | |
Majorly eat | From home | 75 | 306 | 1 | 1 |
From hotel/cafeteria | 83 | 103 | 3.3 (2.2,4.8) * | 4.3. (2.4,7.8) ** | |
Physical activity | Active | 39 | 176 | 1 | 1 |
Inactive | 119 | 233 | 2.3 (1.5,3.5) * | 2.5 (1.4,4.5) ** | |
AMA | American Medical Association |
BMI | Body Mass Index |
COR | Crude Odd Ratio |
CVD | Cardiovascular Disease |
DM | Diabetes Mellitus |
EDHS | Ethiopian Demographic Health Survey |
HCWS | Health Care Workers |
HDL | High-Density Lipoprotein |
IDF | International Diabetes Federation |
Kg/m2 | Kilo Gram Per Meter Square |
KG | Kilo Gram |
KM | Kilo Meter |
NCD | Non-Communicable Disease |
NGO | Non-Governmental Organization |
OR | Odds Ratio |
SSR | Simple Random Sampling |
STEPS | Stepwise Approach to Surveillance |
WC | Waist Circumference |
WHO | World Health Organization |
| [1] | Després J-P: Body fat distribution and risk of cardiovascular disease: an update. Circulation 2012, 126(10): 1301-1313. |
| [2] | Popkin BM, Du S, Green WD, Beck MA, Algaith T, Herbst CH, Alsukait RF, Alluhidan M, Alazemi N, Shekar M: Individuals with obesity and COVID‐19: a global perspective on the epidemiology and biological relationships. Obesity reviews 2020, 21(11): e13128. |
| [3] | Després J-P: Abdominal obesity and cardiovascular disease: is inflammation the missing link? Canadian Journal of Cardiology 2012, 28(6): 642-652. |
| [4] | Ashwell M, Gibson S: Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’based on BMI and waist circumference. BMJ open 2016, 6(3): e010159. |
| [5] | Organization WH: WHO health workforce support and safeguards list 2023: World Health Organization; 2023. |
| [6] | Hall KD, Ayuketah A, Brychta R, Cai H, Cassimatis T, Chen KY, Chung ST, Costa E, Courville A, Darcey V: Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell metabolism 2019, 30(1): 67-77. e63. |
| [7] | Church TS, Thomas DM, Tudor-Locke C, Katzmarzyk PT, Earnest CP, Rodarte RQ, Martin CK, Blair SN, Bouchard C: Trends over 5 decades in US occupation-related physical activity and their associations with obesity. PloS one 2011, 6(5): e19657. |
| [8] | Hagiwara N, Kawada-Watanabe E, Koyanagi R, Arashi H, Yamaguchi J, Nakao K, Tobaru T, Tanaka H, Oka T, Endoh Y: Low-density lipoprotein cholesterol targeting with pitavastatin+ ezetimibe for patients with acute coronary syndrome and dyslipidaemia: the HIJ-PROPER study, a prospective, open-label, randomized trial. European Heart Journal 2017, 38(29): 2264-2276. |
| [9] | Benanav A: The origins of informality: the ILO at the limit of the concept of unemployment. Journal of Global History 2019, 14(1): 107-125. |
| [10] | Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A: Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals. The lancet 2015, 386(10005): 1739-1746. |
| [11] | Filipowska J, Tomaszewski KA, Niedźwiedzki Ł, Walocha JA, Niedźwiedzki T: The role of vasculature in bone development, regeneration and proper systemic functioning. Angiogenesis 2017, 20(3): 291-302. |
| [12] | Popkin BM, Corvalan C, Grummer-Strawn LM: Dynamics of the double burden of malnutrition and the changing nutrition reality. The Lancet 2020, 395(10217): 65-74. |
| [13] | Ford ND, Patel SA, Narayan KV: Obesity in low-and middle-income countries: burden, drivers, and emerging challenges. Annual review of public health 2017, 38(1): 145-164. |
| [14] | Alemayehu D, Bachewe F, Genye T, Gilbert R, Haile H, Headey D, Masters W, Herforth A, Tessema M: Ethiopian Public Health Institute Food Science and Nutrition Research Directorate Scientific Newsletter. |
| [15] | Biccard BM, Gopalan PD, Miller M, Michell WL, Thomson D, Ademuyiwa A, Aniteye E, Calligaro G, Chaibou MS, Dhufera HT: Patient care and clinical outcomes for patients with COVID-19 infection admitted to African high-care or intensive care units (ACCCOS): a multicentre, prospective, observational cohort study. The Lancet 2021, 397(10288): 1885-1894. |
| [16] | Eba K, Gerbaba MJ, Abera Y, Tadessse D, Tsegaye S, Abrar M, Mohammed A, Ibrahim A, Shekabdulahi M, Zeleke S: Mobile health service as an alternative modality for hard-to-reach pastoralist communities of Afar and Somali regions in Ethiopia. Pastoralism 2023, 13(1): 17. |
| [17] | Gizaw W, Assegid D: Trend of cereal crops production area and productivity, in Ethiopia. Journal of Cereals and Oilseeds 2021, 12(1): 9-17. |
| [18] | Mekonnen MM, Gerbens-Leenes W: The water footprint of global food production. Water 2020, 12(10): 2696. |
| [19] | Tesfaye BT, Feyissa TM, Workneh AB, Gudina EK, Yizengaw MA: Chronic Liver Disease in Ethiopia With a Particular Focus on the Etiological Spectrums: A Systematic Review and Meta‐Analysis of Observational Studies. Canadian Journal of Gastroenterology and Hepatology 2021, 2021(1): 8740157. |
| [20] | Nazare J-A, Smith JD, Borel A-L, Haffner SM, Balkau B, Ross R, Massien C, Alméras N, Després J-P: Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity. The American journal of clinical nutrition 2012, 96(4): 714-726. |
| [21] | Hoeper MM, Lam CS, Vachiery J-L, Bauersachs J, Gerges C, Lang IM, Bonderman D, Olsson KM, Gibbs JSR, Dorfmuller P: Pulmonary hypertension in heart failure with preserved ejection fraction: a plea for proper phenotyping and further research. European heart journal 2017, 38(38): 2869-2873. |
| [22] | Jellason NP, Conway JS, Baines RN: Understanding impacts and barriers to adoption of climate-smart agriculture (CSA) practices in North-Western Nigerian drylands. The Journal of Agricultural Education and Extension 2021, 27(1): 55-72. |
| [23] | Molla MD, Wolde HF, Atnafu A: Magnitude of central obesity and its associated factors among adults in urban areas of Northwest Ethiopia. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2020, 13: 4169. |
| [24] |
WHO:
https://www.who.int/publications/i/item/9789241501491 WHO 2011. |
| [25] | Petry NM: A comparison of young, middle-aged, and older adult treatment-seeking pathological gamblers. The gerontologist 2002, 42(1): 92-99. |
| [26] | WHO: Physical Activity. WHO 2017. |
| [27] | Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG, Organization WH: AUDIT: the alcohol use disorders identification test: guidelines for use in primary health care. In.: World Health Organization; 2001. |
| [28] | Zewdu S, Hanlon C, Fekadu A, Medhin G, Teferra S: Treatment gap, help-seeking, stigma and magnitude of alcohol use disorder in rural Ethiopia. Substance abuse treatment, prevention, and policy 2019, 14: 1-10. |
| [29] | Ferreira IA, Salvucci V, Tarp F: Poverty, inequality, and growth: trends, policies, and controversies. In: Handbook of Labor, Human Resources and Population Economics. edn.: Springer; 2023: 1-45. |
| [30] | WFP F: Food Consumption Score: Construction of the FCS. 2008. |
| [31] | Lopes MBS: The 2017 World Health Organization classification of tumors of the pituitary gland: a summary. Acta neuropathologica 2017, 134(4): 521-535. |
| [32] | Misganaw A, Mariam DH, Ali A, Araya T: Epidemiology of major non-communicable diseases in Ethiopia: a systematic review. Journal of health, population, and nutrition 2014, 32(1): 1. |
| [33] | Falzon D, Jaramillo E, Schünemann H, Arentz M, Bauer M, Bayona J, Blanc L, Caminero J, Daley C, Duncombe C: WHO guidelines for the programmatic management of drug-resistant tuberculosis: 2011 update. In.: European Respiratory Society; 2011. |
| [34] | Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D, Hawkins C, Ng H, Pfister SM, Reifenberger G: The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro-oncology 2021, 23(8): 1231-1251. |
| [35] | Abebe E, Gugsa G, Ahmed M: Review on major food‐borne zoonotic bacterial pathogens. Journal of tropical medicine 2020, 2020(1): 4674235. |
| [36] | Tesfaye K, Kruseman G, Cairns JE, Zaman-Allah M, Wegary D, Zaidi P, Boote KJ, Erenstein O: Potential benefits of drought and heat tolerance for adapting maize to climate change in tropical environments. Climate risk management 2018, 19: 106-119. |
| [37] | Alemu T, Mengistu A: Impacts of climate change on food security in Ethiopia: adaptation and mitigation options: a review. Climate change-resilient agriculture and agroforestry: Ecosystem services and sustainability 2019: 397-412. |
| [38] | Getachew N, Erkalo B, Garedew MG: Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 2021. BMC Medical Informatics and Decision Making 2022, 22(1): 154. |
| [39] | Darebo T, Mesfin A, Gebremedhin S: Prevalence and factors associated with overweight and obesity among adults in Hawassa city, southern Ethiopia: a community based cross-sectional study. BMC obesity 2019, 6(1): 8. |
| [40] | Leser S: The 2013 FAO report on dietary protein quality evaluation in human nutrition: Recommendations and implications. Nutrition Bulletin 2013, 38(4): 421-428. |
| [41] | Worku E, Fenta DA, Ali MM: Bacterial etiology and risk factors among newborns suspected of sepsis at Hawassa, Ethiopia. Scientific Reports 2022, 12(1): 20187. |
| [42] | Lachat C, Raneri JE, Smith KW, Kolsteren P, Van Damme P, Verzelen K, Penafiel D, Vanhove W, Kennedy G, Hunter D: Dietary species richness as a measure of food biodiversity and nutritional quality of diets. Proceedings of the National Academy of Sciences 2018, 115(1): 127-132. |
| [43] | Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput J-P, Chastin S, Chou R: World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British journal of sports medicine 2020, 54(24): 1451-1462. |
| [44] | Guthold R, Stevens GA, Riley LM, Bull FC: Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. The lancet global health 2018, 6(10): e1077-e1086. |
APA Style
Degu, H., Degu, A., Degu, A. (2026). Magnitude of Central Obesity and Its Associated Factors among Civil Servants in West Gojjam Zone District Government Offices, Northwest Ethiopia. European Journal of Preventive Medicine, 14(4), 74-85. https://doi.org/10.11648/j.ejpm.20261404.13
ACS Style
Degu, H.; Degu, A.; Degu, A. Magnitude of Central Obesity and Its Associated Factors among Civil Servants in West Gojjam Zone District Government Offices, Northwest Ethiopia. Eur. J. Prev. Med. 2026, 14(4), 74-85. doi: 10.11648/j.ejpm.20261404.13
@article{10.11648/j.ejpm.20261404.13,
author = {Haimanot Degu and Abraham Degu and Agumas Degu},
title = {Magnitude of Central Obesity and Its Associated Factors among Civil Servants in West Gojjam Zone District Government Offices, Northwest Ethiopia},
journal = {European Journal of Preventive Medicine},
volume = {14},
number = {4},
pages = {74-85},
doi = {10.11648/j.ejpm.20261404.13},
url = {https://doi.org/10.11648/j.ejpm.20261404.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejpm.20261404.13},
abstract = {Central obesity is defined as its excessive accumulation of visceral fat around the abdomen. It has become a significant public health concern and a major risk factor for non-communicable diseases (NCDs) in developing countries like Ethiopia. The study fills the knowledge gap and detects central obesity in civil servants in the West Gojjame zone office workers. Objective: To assess the magnitude of central obesity and its associated factors among civil servants in West Gojjam Zonal government office, North West Ethiopia, 2024. Methods: An institutional-based cross-sectional study was conducted among 567 civil servants in the West Gojjam Zone government office from August 7 to September 1, 2024. Study participants were selected using a simple random sampling technique, and data were collected through face-to-face interviews using a pretested structured questionnaire. The collected data were entered into Epi-Data version 3.1 and then exported to Stata version 17 for analysis. Binary logistic regression analysis was performed to identify factors associated with central obesity. Variables with a p-value of ≤ 0.25 in the bivariable binary logistic regression analysis were included in the multivariable binary logistic regression analysis. The odds ratio with a 95% Confidence Interval (CI) was calculated to assess the strength of the association. Results: The prevalence of central obesity among civil servants was 27.8% (95% CI: 24.1, 31.8). Factors positively associated with central obesity included older age (AOR=4.5, 95% CI: 2.3, 8.8), being female (AOR=2.5, 95% CI: 1.5, 4.2), and having an income above the poverty line (AOR=18.4, 95% CI: 7.9, 42.9). In contrast, a borderline food consumption score (AOR=2.2, 95% CI: 1.1, 4.2) and physical inactivity (AOR=2.5, 95% CI: 1.4, 4.5) were negatively associated with central obesity. Conclusion and Recommendations: Central obesity is prevalent in the West Gojjam Zone government office, affecting one in two women and one in five men, with factors like Being a female, older age, richest monthly income, inadequate food consumption score and physical inactivity significantly associated with central obesity among civil servants. Workplace health programs and campaigns targeting women and older adults are crucial, along with government policies promoting physical activity. Office workers should aim for at least 150 minutes of moderate or 75 minutes of vigorous weekly aerobic exercise.},
year = {2026}
}
TY - JOUR T1 - Magnitude of Central Obesity and Its Associated Factors among Civil Servants in West Gojjam Zone District Government Offices, Northwest Ethiopia AU - Haimanot Degu AU - Abraham Degu AU - Agumas Degu Y1 - 2026/08/11 PY - 2026 N1 - https://doi.org/10.11648/j.ejpm.20261404.13 DO - 10.11648/j.ejpm.20261404.13 T2 - European Journal of Preventive Medicine JF - European Journal of Preventive Medicine JO - European Journal of Preventive Medicine SP - 74 EP - 85 PB - Science Publishing Group SN - 2330-8230 UR - https://doi.org/10.11648/j.ejpm.20261404.13 AB - Central obesity is defined as its excessive accumulation of visceral fat around the abdomen. It has become a significant public health concern and a major risk factor for non-communicable diseases (NCDs) in developing countries like Ethiopia. The study fills the knowledge gap and detects central obesity in civil servants in the West Gojjame zone office workers. Objective: To assess the magnitude of central obesity and its associated factors among civil servants in West Gojjam Zonal government office, North West Ethiopia, 2024. Methods: An institutional-based cross-sectional study was conducted among 567 civil servants in the West Gojjam Zone government office from August 7 to September 1, 2024. Study participants were selected using a simple random sampling technique, and data were collected through face-to-face interviews using a pretested structured questionnaire. The collected data were entered into Epi-Data version 3.1 and then exported to Stata version 17 for analysis. Binary logistic regression analysis was performed to identify factors associated with central obesity. Variables with a p-value of ≤ 0.25 in the bivariable binary logistic regression analysis were included in the multivariable binary logistic regression analysis. The odds ratio with a 95% Confidence Interval (CI) was calculated to assess the strength of the association. Results: The prevalence of central obesity among civil servants was 27.8% (95% CI: 24.1, 31.8). Factors positively associated with central obesity included older age (AOR=4.5, 95% CI: 2.3, 8.8), being female (AOR=2.5, 95% CI: 1.5, 4.2), and having an income above the poverty line (AOR=18.4, 95% CI: 7.9, 42.9). In contrast, a borderline food consumption score (AOR=2.2, 95% CI: 1.1, 4.2) and physical inactivity (AOR=2.5, 95% CI: 1.4, 4.5) were negatively associated with central obesity. Conclusion and Recommendations: Central obesity is prevalent in the West Gojjam Zone government office, affecting one in two women and one in five men, with factors like Being a female, older age, richest monthly income, inadequate food consumption score and physical inactivity significantly associated with central obesity among civil servants. Workplace health programs and campaigns targeting women and older adults are crucial, along with government policies promoting physical activity. Office workers should aim for at least 150 minutes of moderate or 75 minutes of vigorous weekly aerobic exercise. VL - 14 IS - 4 ER -