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

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          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.

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          Most cited references7

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          The effects of maternal education on child nutritional status depend on socio-environmental conditions.

          Previous studies have shown an inconsistency in the association between maternal education and child nutritional status across socioeconomic levels. This may be because the beneficial effects of education are only significant when resources are sufficient but not abundant. Associations were examined for differences across socioeconomic levels using data collected from 41 rural communities of Benin for 435 children aged 13-36 months. Village level indicators of household wealth were used together with child z-scores to partition the sample into three levels of socio-environment relative to conditions more or less conducive to child growth. Using an interactive linear regression model it was shown that for the population of children of women who had no more than 4 years of formal schooling, the association of maternal education and child weight differed significantly across the socio-environment. The relationship was flat and non-significant in the lowest socio-environment, positive and significant (P < 0.05) in intermediate conditions, and weakly positive under the best socio-environment conditions. Among children of mothers attaining higher levels of education, an unexpected negative association was found. It could be that maternal education had enabled women to participate in activities outside the home without simultaneously ensuring adequate child care.
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            Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo.

            Several years of war have created a humanitarian crisis in the Democratic Republic of Congo (DRC) with extensive disruption of civil society, the economy and provision of basic services including health care. Health policy and planning in the DRC are constrained by a lack of reliable and accessible population data. Thus there is currently a need for primary research to guide programme and policy development for reconstruction and to measure attainment of the Millennium Development Goals (MDGs). This study uses the 2001 Multiple Indicators Cluster Survey to disentangle children's health inequalities by mapping the impact of geographical distribution of childhood morbidity stemming from diarrhoea, acute respiratory infection, and fever. We observe a low prevalence of childhood diarrhoea, acute respiratory infection and fever in the western provinces (Kinshasa, Bas-Congo and Bandundu), and a relatively higher prevalence in the south-eastern provinces (Sud-Kivu and Katanga). However, each disease has a distinct geographical pattern of variation. Among covariate factors, child age had a significant association with disease prevalence. The risk of the three ailments increased in the first 8-10 months after birth, with a gradual improvement thereafter. The effects of socioeconomic factors vary according to the disease. Accounting for the effects of the geographical location, our analysis was able to explain a significant share of the pronounced residual geographical effects. Using large scale household survey data, we have produced for the first time spatial residual maps in the DRC and in so doing we have undertaken a comprehensive analysis of geographical variation at province level of childhood diarrhoea, acute respiratory infection, and fever prevalence. Understanding these complex relationships through disease prevalence maps can facilitate design of targeted intervention programs for reconstruction and achievement of the MDGs.
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              Geo-additive models of childhood undernutrition in three sub-Saharan African countries

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                Author and article information

                Journal
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2011
                25 April 2011
                : 11
                : 261
                Affiliations
                [1 ]University of Warwick, Warwick Medical School, Health Sciences Research Institute, Warwick Evidence, Gibbet Hill, CV4 7AL, Coventry, UK
                [2 ]University of Botswana, Department of Population Studies, Gaborone, Private box 0075, Botswana
                [3 ]Institut National de Statistique, Kinshasa, Republique Democratique du Congo
                [4 ]African Populations and Health Research Center, Shelter Afrique Centre, Longonot Road, P.O.Box 10787, 00100 GP.O. Nairobi - Kenya
                [5 ]Département des Sciences de la Population et du Développement, Faculté des Sciences Economiques, Université de Kinshasa, B.P. 176 Kinshasa XI, Republique Democratique du Congo
                [6 ]University of Warwick, Warwick Medical School, Clinical Sciences Research Institute, Clifford Road Bridge, CV2 2DX, Coventry, UK
                Article
                1471-2458-11-261
                10.1186/1471-2458-11-261
                3111378
                21518428
                2ed892e0-aebd-4c98-a309-08a522c062bf
                Copyright ©2011 Kandala et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 April 2010
                : 25 April 2011
                Categories
                Research Article

                Public health
                Public health

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