ArticlePublic health nutrition2024
Trends of risk factors associated with childhood stunting and anaemia in Ghana: evidence from the Demographic Health Survey and Multiple Indicator Cluster Survey (2003-2017).
Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Factors associated with inequalities in malnutrition among children in Ghana using the 2022 GDHS and WHO HEAT framework.BMC public health · 2025Observational
- Nutritional Composition and Acceptability of Egg Powder-Fortified Tom Brown Among School-Aged Children in the Wa Municipality.Food science & nutrition · 2025Article
- Trends and inequalities in stunting and underweight among children aged 0-59 months in Ghana, 1993-2022.International journal for equity in health · 2025Article
- Trends in the Prevalence and Factors Associated with Undernutrition in Tunisian Children Aged 0-23 Months.Nutrients · 2024Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study investigated the trend of effect estimates of the key risk factors of childhood stunting and anaemia between 2003 and 2017.
designA secondary analysis of the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data for the Ghanaian population between 2003 and 2017. Associations of selected socio-demographic (child age and gender; maternal age and education), economic (household wealth), environmental, dietary (minimum dietary diversity and iodine use) and health system (place of delivery and vaccination) factors were explored using the Poisson regression model. Trend analysis was explored using a fitted linear regression line on a time series plot.
settingGhana.
participantsChildren under 5 years.
resultsThe results showed a reduction in the prevalence of stunting and anaemia over the 15-year duration. These health outcomes were found to be negatively associated with a wide array of socio-demographic (child age and gender, maternal age and education, residency), economic (household wealth), dietary (iodised salt use) and health service (place of delivery and vaccination) factors; however, the most consistent statistically significant association was observed between child's age and belonging to the poor wealth quintile.
conclusionIn order to prevent these indicators of child malnutrition, key consideration must be given to the early developmental stages of life. Child health policies must focus on addressing the key contextual factors of child malnutrition.
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