The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
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...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
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.