Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-20T15:26:29.388Z Has data issue: false hasContentIssue false

Economic crisis and malnutrition: socioeconomic determinants of anthropometric status of preschool children and their mothers in an African urban area

Published online by Cambridge University Press:  02 January 2007

F Delpeuch*
Affiliation:
IRD, Institut de Recherche pour le Développement (formerly Orstom), Nutrition Unit, WHO Collaborating Centre for Nutrition, BP 5045, 34032 Montpellier, France
P Traissac
Affiliation:
IRD, Institut de Recherche pour le Développement (formerly Orstom), Nutrition Unit, WHO Collaborating Centre for Nutrition, BP 5045, 34032 Montpellier, France
Y Martin-Prével
Affiliation:
IRD, Institut de Recherche pour le Développement (formerly Orstom), Nutrition Unit, WHO Collaborating Centre for Nutrition, BP 5045, 34032 Montpellier, France
JP Massamba
Affiliation:
DGRST Brazzaville, BP2499Congo
B Maire
Affiliation:
IRD, Institut de Recherche pour le Développement (formerly Orstom), Nutrition Unit, WHO Collaborating Centre for Nutrition, BP 5045, 34032 Montpellier, France
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective

To assess the relative importance of socioeconomic and maternal/prenatal determinants of the nutritional situation of children < 6 years old in an urban African area after several years of economic crisis.

Design

Cross-sectional cluster sample survey.

Setting

Brazzaville, capital city of the Congo.

Subjects

Information on socioeconomic characteristics was gathered from a random sample of 1368 households by house visits and anthropometric measurements were performed using standardized procedures on preschool children (n=2373) and their mothers (n=1512).

Results

The influence of socioeconomic factors on the nutritional status of children, taking into account adjustment variables such as mother's age and child's age and sex was assessed. For stunting, as well as for the mean height-for-age index among children, the main determinants were economic level of the household (P=0.048 and P=0.004, respectively), schooling of the mother (P=0.004 and P < 10−3) and living in the peripheral district (P=0.005 and P < 10−3). The influence of socioeconomic determinants on weight-for-age and wasting was less straightforward. When adjusting, in addition, for maternal and prenatal factors (mother's height and body mass index (BMI) and birth weight), most of the effects of the socioeconomic determinants on the nutritional status of children persisted somewhat, but the effect of the economic level on the stunting became not significant (P=0.11). The mean BMI of mothers appeared to be related to the economic level of the household (P < 10−4), to the marital status (P=0.01) and to the occupation of the mother (P < 10−4).

Conclusions

Among the socioeconomic determinants of malnutrition in children, some, such as economic level of the household or schooling of the mother, seem to act mainly through prenatal factors, whereas others, mainly dwelling district characteristics, seem to influence more directly the children's nutritional status.

Type
Research Article
Copyright
Copyright © CABI Publishing 2000

References

1Thomas, D, Lavy, V, Strauss, J. Public Policy Anthropometric Outcomes in Côte d'Ivoire. Living Standards Measurement Study. Working Paper No. 89. Washington DC: The World Bank, 1992.Google Scholar
2République du Congo, UNICEF. Analyse de la Situation des Enfants et des Femmes au Congo. Brazzaville: Bureau UNICEF, 1992.Google Scholar
3Simondon, F, Delpeuch, F, Cornu, A, et al. Etat nutritionnel des enfants d'âge préscolaire à Brazzaville. In: Salem, G, Jeannée, E, eds. Urbanisation et Santé dans le Tiers Monde. Transition Épidémiologique, Changement Social et Soins de Santé Primaires. Paris: ORSTOM, Collection Colloques et Séminaires, 1989; 115–27.Google Scholar
4Cornu, A, Massamba, JP, Traissac, P, Simondon, F, Villeneuve, P, Delpeuch, F.Nutritional change and economic crisis in an urban Congolese community. Int. J. Epidemiol. 1995; 24: 155–64.CrossRefGoogle Scholar
5République du Congo. Recensement Général de la Population et de l'Habitat, Vol. 1, Résultats Provisoires. Brazzaville: Ministère du Plan, Bureau Central du Recensement, 1985.Google Scholar
6WHO. Physical Status: The Use and Interpretation of Anthropometry. WHO Technical Report Series No. 854. Geneva: World Health Organization, 1995.Google Scholar
7Dean, AD, Dean, JA, Burton, JH, Dicker, RC. Epi Info, Version 5: A Word Processing, Database, and Statistics Program for Epidemiology on Micro-computers. Atlanta, Georgia: Centers for Disease Control, 1990.Google Scholar
8SAS Institute Inc. SAS/STAT User's Guide, Version 6, 4th edn. Vols 1 and 2. Cary, NC: SAS Institute Inc., 1989.Google Scholar
9Traissac, P, Delpeuch, F, Maire, B, Martin-Prével, Y, Cornu, A, Trèche, S.Construction d'un indice synthétique de niveau économique des ménages dans les enquêtes nutritionnelles. Exemples d'application au Congo Rev. Epidemiol. Sante Publique 1997; 45: (Suppl. 1), 114–15.Google Scholar
10Searle, SR, Linear Models for Unbalanced Data. New York: John Wiley, 1987.Google Scholar
11Hosmer, DW, Lemeshow, S. Applied Logistic Regression. New York: John Wiley, 1989.Google Scholar
12Maire, B, Delpeuch, F, Cornu, A, et al. Urbanisation et transition nutritionnelle en Afrique Sub-Saharienne: les exemples du Congo et du Sénégal. Rev. Epidemiol. Sante Publique 1992; 40, 252–8.Google Scholar
13FAO/WHO. Nutrition and Development – A Global Assessment. International Conference on Nutrition. Rome: Food and Agriculture Organization/World Health Organization, 1992.Google Scholar
14Ruel, MT, Habicht, JP, Pinstrup-Andersen, P, Gröhn, y.The mediating effect of maternal nutrition knowledge on the association between maternal schooling and child nutritional status in Lesotho, Am. J. Epidemiol. 1992; 135: 904–14.CrossRefGoogle ScholarPubMed
15Shetty, PS, James, WPT. Body Mass Index: A Measure of Chronic Energy Deficiency in Adults. FAO Food and Nutrition Paper No. 56. Rome: Food and Agriculture Organization, 1994.Google ScholarPubMed
16Kramer, MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull. World Health Organ. 1987; 65: 663737.Google ScholarPubMed
17Sanderson, M, Emanuel, I, Holt, VL. The intergenerational relationship between mother's birth weight, infant birth weight and infant mortality in black and white mothers. Paediatr. Perinat. Epidemiol. 1995; 9: 391405.CrossRefGoogle ScholarPubMed
18Kennedy, E, Haddad, L.Food security and nutrition, 1971–91. Lessons learned and future priorities. SCN News 1997; 8: 89.Google Scholar
19Frongillo, EA, de Onis, M, Hanson, KM. Socio-economic and demographic factors are associated with worldwide patterns of stunting and wasting of children. J. Nutr. 1997; 127, 2302–9.CrossRefGoogle Scholar
20Delpeuch, F, Cornu, A, Massamba, JP, Traissac, P, Maire, B.Is body mass index (BMI) sensitively related to socio-economic status and to economic adjustment? A case study from Congo Eur. J. Clin. Nutr. 1994; 48 (Suppl. 3): S141–7.Google ScholarPubMed
21Garcia, M Women's food intake and nutritional status in Pakistan and the Philippines: effects of incomes and prices. In: Wahlqvist, et al. . Nutrition in a sustainable environment. Proceedings of the XVth International Congress of Nutrition. London: Smith-Gordon, 1994; 167–70.Google Scholar
22Martin-Prével, Y, Coudert, K, Traissac, P, et al. Évolution de la situation nutritionnelle des jeunes enfants à Brazzaville (Congo), après la dévaluation du franc cfa. Rev. Epidemiol. Sante Publique 1997; 45 (Suppl. 1), 110–11.Google Scholar