The nutritional transition in African urban settings is driving significant changes in dietary habits, exposing populations to a double nutritional burden: persistent micronutrient deficiencies and the rise of metabolic diseases. This study aims to describe the dietary behaviours of the adult population in N’Djamena (Chad) to identify high-risk nutritional trends. A descriptive cross-sectional study was conducted among adults attending four healthcare facilities in N’Djamena. Data were collected using a structured questionnaire covering the frequency of consumption of fruits, vegetables, saturated fats, added sugars, salt, and processed foods. Statistical analysis was performed using SPSS v30.0, with frequency calculations and graphical representations. The results reveal a very high consumption of processed foods (849 individuals reported daily consumption), salt (594), sugars (516), and saturated fats (569). In contrast, fruit consumption was low (only 18 individuals reported daily intake), while vegetable consumption was relatively favourable (716 often, 391 daily). These findings reflect an unbalanced diet dominated by ultra-processed products. This nutritional profile aligns with trends observed in other African capitals undergoing dietary transition. Risky behaviours are influenced by market availability, cultural preferences, and advertising. The inadequate intake of fruits and excessive salt consumption represent major public health threats in urban settings, further exacerbated by weak nutritional regulation. The findings highlight the urgency of a multisectoral response combining nutrition education, improved access to healthy foods, regulation of industrial food products, and promotion of local food systems. They also advocate for promoting healthy eating through community-based, economic, and regulatory interventions, while leveraging healthcare facilities as educational platforms. Further multifactorial, biomedical, longitudinal, and interventional studies are needed to explore the determinants of dietary behaviours and assess the impact of nutrition policies in the urban Chadian context.
| [1] | World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020. Geneva: WHO; 2013. (35). |
| [2] | GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis. Lancet. 2020; 396(10258): 1223–49. |
| [3] | Popkin BM. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr. 2006; 84(2): 289–98. (38).View Article PubMed |
| [4] | Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin BM. Ultra-processed products are becoming dominant in the global food system. Obes Rev. 2013; 14 Suppl 2: 21–8. (33,39).View Article PubMed |
| [5] | FAO. The State of Food Security and Nutrition in the World 2022. Rome: FAO; 2022. |
| [6] | Te Morenga L, Mallard S, Mann J. Dietary sugars and body weight: systematic review and meta-analyses. BMJ. 2013; 346: e7492. (29).View Article PubMed |
| [7] | WHO. Guideline: Sodium intake for adults and children. Geneva: World Health Organization; 2012. (36). |
| [8] | Setia MS. 2016. Methodology series module 3: Cross-sectional studies. Indian Journal of Dermatology, 61(3), 261-264.View Article PubMed |
| [9] | Wang X, Cheng Z. 2020. Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations. Chest, 158(1S), S65–S71.View Article PubMed |
| [10] | World Health Organization. Regional Office for the Western Pacific. 2013. Measles-Rubella Bulletin - Vol 07 Issue 02. WHO Regional Office for the Western Pacific. https:// iris.who.int/ handle/10665/206694. |
| [11] | Popkin BM. 2016. Nutritional patterns and transitions. Population and Development Review, 42(Suppl), 47–71. |
| [12] | Etikan I, Bala K. (2017). Sampling and Sampling Methods. Biometrics & Biostatistics International Journal, 5(6), 215–217.View Article |
| [13] | Lwanga SK, Lemeshow S. 1991. Détermination de la taille d'un échantillon dans les études sanometriques. OMS Genève. |
| [14] | Pourhoseingholi MA, Vahedi M, Rahimzadeh M. 2013. Sample size calculation in medical studies. Gastroenterol Hepatol Bed Bench. Winter; 6(1): 14-7. PMID: 24834239; PMCID: PMC4017493. |
| [15] | World Medical Association. 2013. World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 310(20), 2191–2194.View Article PubMed |
| [16] | Brislin RW. 1970. Back-Translation for Cross-Cultural Research. Journal of Cross-Cultural Psychology, 1(3), 185–216.View Article |
| [17] | 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.View Article |
| [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: Journal Sosial Ekonomi Pertanian, 14(3), 546-557.View Article |
| [19] | Boeing H, Bechthold A, Bub A, et al. Critical review: vegetables and fruit in the prevention of chronic diseases. Eur J Nutr. 2012; 51(6): 637–63.View Article PubMed |
| [20] | FAO. Lutter contre la malnutrition par les systèmes alimentaires durables. Rome: FAO; 2022. (43). |
| [21] | Tine JAD, Diouf A, et al. Habitudes alimentaires des femmes sénégalaises: entre traditions et modernité. Rev Nutr Santé Publique. 2021; 21(3): 187–96. |
| [22] | Coulibaly M, Diallo F, et al. Étude des comportements alimentaires à Ouagadougou. Rev Sahel Sci Santé. 2020; 17(2): 23–33. (22). |
| [23] | Ogunniyi LT, et al. Urban households food consumption pattern in South West Nigeria. J Hum Ecol. 2011; 35(3): 167–71. |
| [24] | Traoré S, et al. Facteurs influençant la consommation des fruits et légumes à Bamako. Cah Agric. 2015; 24(5): 313–9. |
| [25] | Chikafa T, et al. Substitution of traditional fats by trans fats in Southern Africa: health risk perspectives. Public Health Nutr. 2018; 21(6): 1078–85. |
| [26] | Sobngwi E, Mbanya JC, et al. Physical activity and its relationship with obesity, hypertension and diabetes in urban Cameroon. Int J Epidemiol. 2002; 31(3): 716–23.View Article PubMed |
| [27] | Agyemang C, et al. Urbanization and dietary change in Ghana: understanding the transition. BMC Public Health. 2015;15: 1312. |
| [28] | Malik VS, Popkin BM, Bray GA, Després JP, Willett WC, Hu FB. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes. Diabetes Care. 2010; 33(11): 2477–83.View Article PubMed |
| [29] | World Health Organization. Guideline: Sodium intake for adults and children. Geneva: WHO; 2012. |
| [30] | Bouzitou GDN, Hounkpatin WA, Sossa A, et al. Connaissances, attitudes et pratiques liées à l’usage du sel à Cotonou. Nutr Clin Métabol. 2021; 35(1): 23–9. (31). |
| [31] | Koné M, Diarra A, et al. Utilisation des bouillons cubes chez les ménages à Abidjan. Arch Santé Afr. 2020; 13(2): 9–16. (32). |
| [32] | Hawkes C, Harris JL. An analysis of the content of food industry pledges on marketing to children. Public Health Nutr. 2011; 14(8): 1403–14.View Article PubMed |
| [33] | Traoré S, et al. Facteurs influençant la consommation des fruits et légumes à Bamako. Cah Agric. 2015; 24(5): 313–9. |