Summary information

Study title

Measuring and Mapping the Prevalence and Patterning of Multiple Malnutrition in Young Children in West and Central Africa, 2017-2018

Creator

Nandy, S

Study number / PID

854787 (UKDA)

10.5255/UKDA-SN-854787 (DOI)

Data access

Open

Series

Not available

Abstract

This is not a data deposit; it is a description of how interested parties can access the data from the original DHS and MICS repositories. The DHS and MICS are household survey micro-data, made available to researchers, for free, to investigate a range of social, health, and other issues in low and middle-income countries. Surveys are usually run every 3-5 years and can be accessed from the DHS and MICS websites.Between 1990 and 2014, sub-Saharan Africa saw a 23% increase in the number of children experiencing stunting, with around 58 million children under 5 affected. Many of these children also experienced wasting, and the co-occurrence of these anthropometric deficits ("multiple malnutrition", MM) entail heightened morbidity risks. At household and community level, MM can refer to the co-existence of under- and over-nutrition, a pattern observed across many low and middle income countries (LMICs), and which the 2015 and 2016 Global Nutrition Reports have noted to be "the new normal". This project focuses on MM in young children in one of the world's poorest regions, the countries of West and Central Africa (WCA). Utilising data from existing household surveys from the 24 countries of WCA, the project will conduct quantitative analyses on anthropometric and demographic data and variables to explore the prevalence and patterning of MM. It will bring together individual and household level data from the surveys (DHS, MICS), and combine this information with macro-level indicators, of national governance, of public expenditure on health and nutrition, and of food prices, to examine the underlying, intermediate and basic causes of MM, as set out in UNICEF's conceptual framework on (mal)nutrition. Malnutrition is associated with raised mortality risks, particularly in children; analysis of longitudinal survey data has shown that children experiencing multiple anthropometric deficits are 12.3 times more likely to die. Such children are likely to...
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Methodology

Data collection period

31/01/2017 - 01/10/2018

Country

Mauritania, Mali, Senegal, Burkina Faso, Guinea, Sierra Leone, Ivory Coast, Ghana, Togo, Benin, Niger, Nigeria, Chad, Central African Republic, Cameroon, Congo, Democratic Republic of Congo, Gabon

Time dimension

Not available

Analysis unit

Individual
Family: Household family
Household

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

The MICS and DHS are well established national survey platforms, which use stratified cluster samples to survey households around the world.Full details of the DHS methodology are available at:https://dhsprogram.com/methodology/survey-types/DHS-Methodology.cfm Details of UICEF's MICS are available at: https://mics.unicef.org/methodological-work

Funding information

Grant number

ES/P00346X/1

Access

Publisher

UK Data Service

Publication year

2021

Terms of data access

The Data Collection is available from an external repository. Access is available via Related Resources.

Related publications

Not available