Skip to main content
Top
Published in: BMC Public Health 1/2011

Open Access 01-12-2011 | Research article

Malnutrition among children under the age of five in the Democratic Republic of Congo (DRC): does geographic location matter?

Authors: Ngianga-Bakwin Kandala, Tumwaka P Madungu, Jacques BO Emina, Kikhela PD Nzita, Francesco P Cappuccio

Published in: BMC Public Health | Issue 1/2011

Login to get access

Abstract

Background

Although there are inequalities in child health and survival in the Democratic Republic of Congo (DRC), the influence of distal determinants such as geographic location on children's nutritional status is still unclear. We investigate the impact of geographic location on child nutritional status by mapping the residual net effect of malnutrition while accounting for important risk factors.

Methods

We examine spatial variation in under-five malnutrition with flexible geo-additive semi-parametric mixed model while simultaneously controlling for spatial dependence and possibly nonlinear effects of covariates within a simultaneous, coherent regression framework based on Markov Chain Monte Carlo techniques. Individual data records were constructed for children. Each record represents a child and consists of nutritional status information and a list of covariates. For the 8,992 children born within the last five years before the survey, 3,663 children have information on anthropometric measures.
Our novel empirical approach is able to flexibly determine to what extent the substantial spatial pattern of malnutrition is driven by detectable factors such as socioeconomic factors and can be attributable to unmeasured factors such as conflicts, political, environmental and cultural factors.

Results

Although childhood malnutrition was more pronounced in all provinces of the DRC, after accounting for the location's effects, geographic differences were significant: malnutrition was significantly higher in rural areas compared to urban centres and this difference persisted after multiple adjustments. The findings suggest that models of nutritional intervention must be carefully specified with regard to residential location.

Conclusion

Childhood malnutrition is spatially structured and rates remain very high in the provinces that rely on the mining industry and comparable to the level seen in Eastern provinces under conflicts. Even in provinces such as Bas-Congo that produce foods, childhood malnutrition is higher probably because of the economic decision to sell more than the population consumes. Improving maternal and child nutritional status is a prerequisite for achieving MDG 4, to reduce child mortality rate in the DRC.
Appendix
Available only for authorised users
Literature
2.
go back to reference Black R, Morris S, Jennifer B: Where and Why Are 10 Million Children Dying Every Year?. The Lancet. 2003, 361: 2226-2234. 10.1016/S0140-6736(03)13779-8.CrossRef Black R, Morris S, Jennifer B: Where and Why Are 10 Million Children Dying Every Year?. The Lancet. 2003, 361: 2226-2234. 10.1016/S0140-6736(03)13779-8.CrossRef
3.
go back to reference UNICEF: The state of the world's children 1998. 1998, New York, UNICEF UNICEF: The state of the world's children 1998. 1998, New York, UNICEF
4.
go back to reference Reed BA, Habicht JP, Niameogo C: The effects of maternal Education on child nutritional status depend on socio-environmental conditions. International Journal of Epidemiology. 1996, 25: 585-592. 10.1093/ije/25.3.585.CrossRefPubMed Reed BA, Habicht JP, Niameogo C: The effects of maternal Education on child nutritional status depend on socio-environmental conditions. International Journal of Epidemiology. 1996, 25: 585-592. 10.1093/ije/25.3.585.CrossRefPubMed
5.
go back to reference Madise NJ, Matthews Z, Margetts B: Heterogeneity of child nutritional status between households: a comparison of six sub-saharan African countries. Population Studies. 1999, 53: 331-343.CrossRef Madise NJ, Matthews Z, Margetts B: Heterogeneity of child nutritional status between households: a comparison of six sub-saharan African countries. Population Studies. 1999, 53: 331-343.CrossRef
6.
go back to reference Gwatkin DR, Rustein S, Johnson S, Pande K, Wagstaff A: Socioeconomic differences in Health, Nutrition and population in Cameroon. 2000, HNP/Poverty Thematic Group of World Bank, Washington DC Gwatkin DR, Rustein S, Johnson S, Pande K, Wagstaff A: Socioeconomic differences in Health, Nutrition and population in Cameroon. 2000, HNP/Poverty Thematic Group of World Bank, Washington DC
7.
go back to reference Pongou R, Ezzati M, Salomon JA: Household and Community Socioeconomic and Environmental Determinants of Child Nutritional Status in Cameroon. BMC, Public Heath. 2006, 6.98: 19- Pongou R, Ezzati M, Salomon JA: Household and Community Socioeconomic and Environmental Determinants of Child Nutritional Status in Cameroon. BMC, Public Heath. 2006, 6.98: 19-
8.
go back to reference World Bank: World Development Indicators 2009. 2009, Washington DC: the World BankCrossRef World Bank: World Development Indicators 2009. 2009, Washington DC: the World BankCrossRef
9.
go back to reference UNDP: D.R. Congo Human Development Report. 2007, New York, NY: United Nations Development Programme UNDP: D.R. Congo Human Development Report. 2007, New York, NY: United Nations Development Programme
10.
go back to reference Coghlan B, Brennan RJ, Ngoy P, Dofara D, Otto B, Clements M, Stewart T: Mortality in the Democratic Republic of Congo: a nationwide survey. The Lancet. 2006, 367: 44-51. 10.1016/S0140-6736(06)67923-3.CrossRef Coghlan B, Brennan RJ, Ngoy P, Dofara D, Otto B, Clements M, Stewart T: Mortality in the Democratic Republic of Congo: a nationwide survey. The Lancet. 2006, 367: 44-51. 10.1016/S0140-6736(06)67923-3.CrossRef
12.
go back to reference UNICEF: The state of the world's children 2007. 2007, New York, UNICEF UNICEF: The state of the world's children 2007. 2007, New York, UNICEF
13.
go back to reference République Démocratique du Congo: (RDC), Enquête démographique et de Santé (EDS-RDC 2007). Rapport final. 2008 République Démocratique du Congo: (RDC), Enquête démographique et de Santé (EDS-RDC 2007). Rapport final. 2008
15.
go back to reference Doctor without Borders: Food, nutrition and mortality situation of IDP's in Dubie. Katanga 23-25 March 2006 Doctor without Borders: Food, nutrition and mortality situation of IDP's in Dubie. Katanga 23-25 March 2006
16.
go back to reference Kandala NB, Emina JBO, Nzita DK, Cappuccio FP: Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo. Social Science and Medicine. 2009, 68: 1728-1736. 10.1016/j.socscimed.2009.02.004.CrossRefPubMed Kandala NB, Emina JBO, Nzita DK, Cappuccio FP: Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo. Social Science and Medicine. 2009, 68: 1728-1736. 10.1016/j.socscimed.2009.02.004.CrossRefPubMed
17.
go back to reference World Health Organization (WHO): WHO Technical Report Series No. 854. Physical Status: The Use and Interpretation of Anthropometry. 1995, Geneva: WHO World Health Organization (WHO): WHO Technical Report Series No. 854. Physical Status: The Use and Interpretation of Anthropometry. 1995, Geneva: WHO
18.
go back to reference World Health Organization (WHO): Measuring Change in Nutritional Status. 1983, Geneva World Health Organization (WHO): Measuring Change in Nutritional Status. 1983, Geneva
19.
go back to reference World Health Organization (WHO): Multicentre Growth Reference Study. Acta Paediatrica. 2006, 450 (Suppl): 1-87. World Health Organization (WHO): Multicentre Growth Reference Study. Acta Paediatrica. 2006, 450 (Suppl): 1-87.
20.
go back to reference Mosley W, Chen L: An Analytical Framework for the Study of Child Survival in Developing Countries. Population and Development Review. 1984, 10: 25-45.CrossRef Mosley W, Chen L: An Analytical Framework for the Study of Child Survival in Developing Countries. Population and Development Review. 1984, 10: 25-45.CrossRef
21.
go back to reference Smith L, Haddad L: IFPRI Research Report No. 111. Explaining Child Malnutrition in Developing Countries. 1999, Washington DC: IFPRI Smith L, Haddad L: IFPRI Research Report No. 111. Explaining Child Malnutrition in Developing Countries. 1999, Washington DC: IFPRI
22.
go back to reference Kandala NB, Fahrmeir L, Klasen S, Priebe J: Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries. Population, Space and Place. 2009, 15: 461-473. 10.1002/psp.524.CrossRef Kandala NB, Fahrmeir L, Klasen S, Priebe J: Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries. Population, Space and Place. 2009, 15: 461-473. 10.1002/psp.524.CrossRef
23.
go back to reference Moradi A, Klasen S: SFB 386 Discussion Paper No. 217. The Nutritional Status of Elites in India, Kenya, and Zambia: An Appropriate Guide for Developing International Reference Standards for Undernutrition?. 2000, University of Munich Moradi A, Klasen S: SFB 386 Discussion Paper No. 217. The Nutritional Status of Elites in India, Kenya, and Zambia: An Appropriate Guide for Developing International Reference Standards for Undernutrition?. 2000, University of Munich
24.
go back to reference Caputo A, Roraita R, Klasen S, Pigeot I: Undernutrition in Benin: An. Analysis based on Graphical Models. Social Sciences and Medecine. 2003, 56: 1677-1691. 10.1016/S0277-9536(02)00162-4.CrossRef Caputo A, Roraita R, Klasen S, Pigeot I: Undernutrition in Benin: An. Analysis based on Graphical Models. Social Sciences and Medecine. 2003, 56: 1677-1691. 10.1016/S0277-9536(02)00162-4.CrossRef
25.
go back to reference Kammann EE, Wand MP: Geoadditive Models. Journal of the Royal Statistical Society C. 2003, 52: 1-18.CrossRef Kammann EE, Wand MP: Geoadditive Models. Journal of the Royal Statistical Society C. 2003, 52: 1-18.CrossRef
26.
go back to reference Fahrmeir L, Lang S: Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Applied Statistics (JRSS C). 2001, 50: 201-220. Fahrmeir L, Lang S: Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Applied Statistics (JRSS C). 2001, 50: 201-220.
27.
go back to reference Spiegelhalter D, Best N, Carlin B, Van der Line A: Bayesian measures of models complexity and fit. Journal of the Royal Stat Soc B. 2002, 64: 1-34. 10.1111/1467-9868.02022.CrossRef Spiegelhalter D, Best N, Carlin B, Van der Line A: Bayesian measures of models complexity and fit. Journal of the Royal Stat Soc B. 2002, 64: 1-34. 10.1111/1467-9868.02022.CrossRef
28.
go back to reference Brezger A, Kneib T, Lang S: BayesX: Analysing Bayesian structured additive regression models. Journal of Statistical Software. 2005, 14 (11): Brezger A, Kneib T, Lang S: BayesX: Analysing Bayesian structured additive regression models. Journal of Statistical Software. 2005, 14 (11):
29.
go back to reference Klasen S: Poverty, undernutrition, and child mortality: Some inter-regional puzzles and their implications for research and policy. Journal of Economic Inequality. 2008, 6 (1): 89-115. 10.1007/s10888-007-9056-x.CrossRef Klasen S: Poverty, undernutrition, and child mortality: Some inter-regional puzzles and their implications for research and policy. Journal of Economic Inequality. 2008, 6 (1): 89-115. 10.1007/s10888-007-9056-x.CrossRef
30.
go back to reference United Nations World Food Programme (WFP): Democratic Republic of Congo Comprehensive Food Security and Vulnerability Analysis (CFSVA) / 2007-2008. 2008 United Nations World Food Programme (WFP): Democratic Republic of Congo Comprehensive Food Security and Vulnerability Analysis (CFSVA) / 2007-2008. 2008
Metadata
Title
Malnutrition among children under the age of five in the Democratic Republic of Congo (DRC): does geographic location matter?
Authors
Ngianga-Bakwin Kandala
Tumwaka P Madungu
Jacques BO Emina
Kikhela PD Nzita
Francesco P Cappuccio
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2011
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-11-261

Other articles of this Issue 1/2011

BMC Public Health 1/2011 Go to the issue