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Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018

  • Paraskevi Seferidi(corresponding author)
    ,
  • Thomas Hone
    ,
  • Ana Clara Duran
    ,
  • ,
  • Christopher Millett
*Corresponding author for this work
  • Imperial College London
    ,
  • University of Campinas
    ,
  • Universidad Peruana Cayetano Heredia
    ,
  • NOVA University
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages e482-e490

Journal (Volume, Issue Number)

The Lancet Global Health (Volume 10, Issue 4)

Publication milestones

  • Published - 04/2022

Publication status

Published - 04/2022

ISSN

2572-116X

Publication IDs

  • Scopus: 85126327377
  • PubMed: 35148831

Abstract

Background: Low-income and middle-income countries (LMICs) face a double burden of malnutrition (DBM), whereby overnutrition and undernutrition coexist within the same individual, household, or population. This analysis investigates global inequalities in household-level DBM, expressed as a stunted child with an overweight mother, and its association with economic, social, and political globalisation across country income and household wealth. Methods: We pooled anthropometric and demographic data for 1 132 069 children (aged <5 years) and their mothers (aged 15–49 years) from 189 Demographic and Health Surveys in 55 LMICs between 1992 and 2018. These data were combined with country-level data on economic, social, and political globalisation from the Konjunkturforschungsstelle Globalisation Index and gross national income (GNI) from the World Bank. Multivariate associations between DBM and household wealth, GNI, and globalisation and their interactions were tested using multilevel logistic regression models with country and year fixed-effects and robust standard errors clustered by country. Findings: The probability of DBM was higher among richer households in poorer LMICs and poorer households in richer LMICs. Economic globalisation was associated with higher odds of DBM among the poorest households (odds ratio 1·49, 95% CI 1·20–1·86) compared with the richest households. These associations attenuated as GNI increased. Social globalisation was associated with higher odds of DBM (1·39, 95% CI 1·16–1·65), independently of household wealth or country income. No associations were identified between political globalisation and DBM. Interpretation: Increases in economic and social globalisation were associated with higher DBM, although the impacts of economic globalisation were mostly realised by the world's poorest. The economic patterning of DBM observed in this study calls for subpopulation-specific double-duty actions, which should further aim to mitigate the potential negative and unequal impacts of globalisation. Funding: UK Biotechnology and Biological Sciences Research Council. Translations: For the Spanish and Portuguese translations of the abstract see Supplementary Materials section.

Funding Details

PS, AB-O, and CM are supported by the Biotechnology and Biological Sciences Research Council (grant reference BB/T009004/1).
FundersFunding numbers
BBSRC
BB/T009004/1

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Sustainable Development Goals

  • SDG 2 - Zero Hunger
    SDG 2 Zero Hunger