American Journal of Medical Sciences and Medicine
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American Journal of Medical Sciences and Medicine. 2025, 13(3), 44-52
DOI: 10.12691/ajmsm-13-3-4
Open AccessArticle

Obesity: Epidemiological Profile, Prevalence, and Associated Factors Among Patients Attending Four Health Facilities in N’Djamena, Chad

Hal Souakar Ambera1, , Geudeungbé Zoufané1, Ngounbé Rilengar Léon1, Al-Lamadine Mahamat1, Bakarnga-Via Issakou1, Brahim Boy Otchom2 and Abdelsalam Tidjani1

1Faculty of Human Health Sciences (FSSH), University of N’Djamena, P.O. Box 1117, N’Djamena, Chad

2Department of Biology, Faculty of Exact and Applied Sciences (FSEA), University of N’Djamena, N’Djamena, Chad

Pub. Date: August 28, 2025

Cite this paper:
Hal Souakar Ambera, Geudeungbé Zoufané, Ngounbé Rilengar Léon, Al-Lamadine Mahamat, Bakarnga-Via Issakou, Brahim Boy Otchom and Abdelsalam Tidjani. Obesity: Epidemiological Profile, Prevalence, and Associated Factors Among Patients Attending Four Health Facilities in N’Djamena, Chad. American Journal of Medical Sciences and Medicine. 2025; 13(3):44-52. doi: 10.12691/ajmsm-13-3-4

Abstract

Obesity is an increasing public health concern in sub-Saharan Africa, especially in urban settings undergoing rapid nutritional and lifestyle transitions. This study aimed to estimate the prevalence of obesity and identify its associated risk factors among adults attending four district hospitals in N’Djamena, Chad. A descriptive and analytical cross-sectional study was conducted over a three-month period, involving 1,270 participants aged 25 to 65 years, recruited through systematic random sampling. Data were collected using a structured questionnaire, standardized anthropometric measurements, and biological tests. The overall prevalence of obesity was 11.2%, and 28.4% of participants were overweight. Obesity was significantly more frequent among women (71.1% of obese cases) and increased with age and monthly income. Bivariate analyses revealed significant associations between obesity and sex (p < 0.001), age (p < 0.001), education level (p = 0.010), and income (p = 0.029). Specific dietary behaviours such as high consumption of added sugars (p = 0.003), high salt intake (p < 0.001), and low fruit consumption (p = 0.023) were also significantly associated with obesity. In contrast, no significant association was found with physical activity, tobacco use, or alcohol consumption. Multivariate logistic regression identified female sex, older age, and higher income as independent risk factors for obesity. These results confirm the emergence of obesity as a major health issue in urban Chad, particularly among women with higher incomes, and underscore the need for context-specific and gender-sensitive preventive interventions.

Keywords:
Risk factors Nutritional transition Urban lifestyle Dietary behaviours public health Sub-Saharan Africa

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References:

[1]  World Health Organization. 2021. Obesity and overweight. https:// www.who.int/ news-room/ fact-sheets/ detail/ obesity-and-overweight.
 
[2]  Agyemang C, Meeks K, Beune E. 2016. Obesity and type 2-diabetes in sub-Saharan Africans – Is the burden in today’s Africa similar to African migrants in Europe? The RODAM study. BMC Med 14, 166.
 
[3]  FAO (2019). Double burden of malnutrition in urban Africa: Case studies. Rome: FAO Publications.
 
[4]  Pi-Sunyer FX. 1991. Health implications of obesity. Am. J. Clin. Nutr., 53(6): 1595S–1603S.
 
[5]  Monteiro CA, Moura EC, Conde WL, Popkin BM. 2004. Socioeconomic status and obesity in adult populations of developing countries: a review. Bulletin of the World Health Organization, 82(12), 940–946.
 
[6]  Setia MS. 2016. Methodology series module 3: Cross-sectional studies. Indian Journal of Dermatology, 61(3), 261-264.
 
[7]  Wang X, Cheng Z. 2020. Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations. Chest, 158(1S), S65–S71.
 
[8]  World Health Organization. Regional Office for the Western Pacific. ‎2013‎. Measles-Rubella Bulletin - Vol 07 Issue 02. WHO Regional Office for the Western Pacific.
 
[9]  Popkin BM. 2016. Nutritional patterns and transitions. Population and Development Review, 42(Suppl), 47–71.
 
[10]  Etikan I, Bala K. (2017). Sampling and Sampling Methods. Biometrics & Biostatistics International Journal, 5(6), 215–217.
 
[11]  Lwanga SK, Lemeshow S. 1991. Détermination de la taille d'un échantillon dans les études sanometriques. OMS Genève.
 
[12]  Pourhoseingholi MA, Vahedi M, Rahimzadeh M. Sample size calculation in medical studies. Gastroenterology Hepatol Bed Bench 2013; 6(1), 14–17.
 
[13]  World Medical Association. 2013. World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 310(20), 2191–2194.
 
[14]  Resnik DB. 2018. The Ethics of Research with Human Subjects: Protecting People, Advancing Science, Promoting Trust. Springer.
 
[15]  Brislin RW. 1970. Back-Translation for Cross-Cultural Research. Journal of Cross-Cultural Psychology, 1(3), 185–216.
 
[16]  Thompson FE, Subar AF. 2017. Dietary Assessment Methodology. In A. M. Coulston, C. J. Boushey, & M. G. Ferruzzi (Eds.), Nutrition in the Prevention and Treatment of Disease (4th ed., pp. 5–48). Academic Press.
 
[17]  Williams B, Mancia G, Spiering W, Agabiti RE, Azizi M, Burnier M, .Tsioufis C. 2018. 2018 ESC/ESH Guidelines for the management of arterial hypertension. European Heart Journal, 39(33), 3021–3104.
 
[18]  Nampa IW, Mudita IW, Kaho NPLBR. 2020. The KoBoCollect for Research Data Collection and Management (An experience in Researching the Socio-Economic Impact of Blood Disease in Banana). SOCA:Jurnal Sosial Ekonomi Pertanian, 14(3), 546-557.
 
[19]  Popkin BM. 2006. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr. Aug;84(2):289-98.
 
[20]  Ofori-Asenso R, Agyeman AA. 2016. Overweight and obesity epidemic in Ghana—a systematic review and meta-analysis. BMC Public Health, 16, 1239.
 
[21]  Mchiza, ZJR, Steyn NP, Temple NJ, Abrahams Z, Jacobs P. 2023. Dietary patterns and obesity in South African urban populations: A cross-sectional study. Journal of Nutritional Science, 12, e15.
 
[22]  Simo LP, Boukar F, Oyono JLE, Mbanya JC. 2018. High salt consumption and its association with obesity and hypertension in urban areas of Sub-Saharan Africa: Evidence from a multicenter study. Nutrients, 10(8), 1028.
 
[23]  Fezeu L, Minkoulou EM, Balkau B, Kengne AP, Awah P, Unwin N, Alberti KG, Mbanya JC. 2006. Association between socioeconomic status and adiposity in urban Cameroon. International Journal of Epidemiology, 35(1), 105–111.