Dublin Core
Title
Identifying factors associated with child malnutrition in Ghana: a cross-sectional study using Bayesian multilevel ordinal logistic regression approach
Creator
Wahab Abdul Iddrisu, Opoku Gyabaah
Description
Objective
In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below 5 years in Ghana.
Design
The study used a secondary data source, specifically the Ghanaian Multiple Indicator Cluster Survey Six (MICS 6), which was conducted by the Ghana Statistical Service in 2017–2018. The MICS data are hierarchical, as children are categorised within households, and households are further grouped within a higher cluster, violating the independence assumption that must be addressed in the analyses. This study used a Bayesian multilevel ordinal logistic regression to model, identify and analyse the factors linked to child malnutrition in Ghana.
Setting
The setting of the study was the household level across the previous 10 administrative regions in Ghana.
Participants
Data for 8875 children …
In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below 5 years in Ghana.
Design
The study used a secondary data source, specifically the Ghanaian Multiple Indicator Cluster Survey Six (MICS 6), which was conducted by the Ghana Statistical Service in 2017–2018. The MICS data are hierarchical, as children are categorised within households, and households are further grouped within a higher cluster, violating the independence assumption that must be addressed in the analyses. This study used a Bayesian multilevel ordinal logistic regression to model, identify and analyse the factors linked to child malnutrition in Ghana.
Setting
The setting of the study was the household level across the previous 10 administrative regions in Ghana.
Participants
Data for 8875 children …
Publisher
British Medical Journal Publishing Group
Date
2023
Source
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:9yKSN-GCB0IC
Language
English