Analysis of large data sets
Authors like Ajieroh, Omilola, Agee, and Adekanmbi et al, have analysed large data sets like the NDHS, focusing on the underlying causes of malnutrition (food, health and care), according to the UNICEF conceptual framework.
Analyses of the NDHS 2003 data set included Ajieroh’s (2010) quantitative analysis of determinants of child and maternal nutrition, Agee’s (2010) investigation of the contribution of improved maternal information about access to community services towards the reduction of child under nutrition; and Omilola’s (2010) analysis of patterns and trends of child and maternal nutrition inequalities.
Adekanmbi et al (2011) used the 2008 NDHS data set to quantify predictors of child hood stunting. Akinyele, 2009 provided an overview of background information for these studies and other areas of data collection.
In trying to follow the UNICEF conceptual framework, the analysis focuses mostly at the level of underlying causes (food, health and care).
These variables in the NDHS are captured through household wealth index (proxy for food), initiation of breast feeding, whether the child is given complementary feeding, whether delivered in a health facility and whether the mother attended antenatal care during pregnancy and mothers’ occupational status (care).
For the health environment and sanitation, the variables are: availability of safe water, sanitation, access to health care, environmental safety, and shelter.