Birth registration and child undernutrition in sub-saharan Africa

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Show simple item record Comandini, Ornella Cabras, Stefano Marini, Elisabetta 2021-06-09T08:17:25Z 2021-06-09T08:17:25Z 2016-07
dc.identifier.bibliographicCitation Comandini, O., Cabras, S. & Marini, E. (2015). Birth registration and child undernutrition in sub-Saharan Africa. Public Health Nutrition, 19(10), pp. 1757–1767.
dc.identifier.issn 1368-9800
dc.description.abstract Objective: In many countries of the world millions of people are not registered at birth. However, in order to assess children’s nutritional status it is necessary to have an exact knowledge of their age. In the present paper we discuss the effects of insufficient or imprecise age data on estimates of undernutrition prevalence. Design: Birth registration rates and levels of stunting, underweight and wasting were retrieved from Multiple Indicator Cluster Surveys and Demographic and Health Surveys of thirty-seven sub-Saharan African countries, considering the subdivision in wealth quintiles. The composition of the cross-sectional sample used for nutritional evaluation was analysed using a permutation test. Logistic regression was applied to analyse the relationship between birth registration and undernutrition. The 95 % probability intervals and Student’s t test were used to evaluate the effect of age bias and error. Results: Heterogeneous sampling designs were detected among countries, with different percentages of children selected for anthropometry. Further, registered children were slightly more represented within samples used for nutritional analysis than in the total sample. A negative relationship between birth registration and undernutrition was recognized, with registered children showing a better nutritional status than unregistered ones, even within each wealth quintile. The over- or underestimation of undernutrition in the case of systematic over- or underestimation of age, respectively, the latter being more probable, was quantified up to 28 %. Age imprecision was shown to slightly overestimate undernutrition. Conclusions: Selection bias towards registered children and underestimation of children’s age can lead to an underestimation of the prevalence of undernutrition.
dc.format.extent 11
dc.language.iso eng
dc.publisher Cambridge University Press
dc.rights © The Authors 2015
dc.subject.other Stunting
dc.subject.other Wasting
dc.subject.other Underweight
dc.subject.other Demographic and health surveys
dc.subject.other Multiple indicator cluster surveys
dc.title Birth registration and child undernutrition in sub-saharan Africa
dc.type article
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1757
dc.identifier.publicationissue 10
dc.identifier.publicationlastpage 1767
dc.identifier.publicationtitle Public Health Nutrition
dc.identifier.publicationvolume 19
dc.identifier.uxxi AR/0000017831
dc.affiliation.dpto UC3M. Departamento de Estadística
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