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Urbanization in Peru is inversely associated with double burden of malnutrition: Pooled analysis of 92,841 mother–child pairs

  • Daniel Mendoza-Quispe
    ,
  • ,
  • J. Jaime Miranda
    ,
  • Cecilia Anza-Ramirez
    ,
  • Rodrigo M. Carrillo-Larco
    ,
  • Marco Pomati
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 1363-1374 (12 pages)

Journal (Volume, Issue Number)

Obesity (Volume 29, Issue 8)

Publication milestones

  • Published - 08/2021

Publication status

Published - 08/2021

ISSN

1930-7381

Publication IDs

  • Scopus: 85108215352
  • PubMed: 34148299

Abstract

Objective: This study assessed the relationship between urbanization and the double burden of malnutrition (DBM) in Peru. Methods: A cross-sectional analysis of the Demographic and Health Survey (2009 to 2016) was conducted. A DBM “case” comprised a child with undernutrition and a mother with overweight/obesity. For urbanization, three indicators were used: an eight-category variable based on district-level population density (inhabitants/km2), a dichotomous urban/rural variable, and place of residence (countryside, towns, small cities, or capital/large cities). Results: The prevalence of DBM was lower in urban than in rural areas (prevalence ratio [PR] 0.70; 95% CI: 0.65-0.75), and compared with the countryside, DBM was less prevalent in towns (PR 0.75; 95% CI: 0.69-0.82), small cities (PR 0.73; 95% CI: 0.67-0.79), and capital/large cities (PR 0.53; 95% CI: 0.46-0.61). Using population density, the adjusted prevalence of DBM was 9.7% (95% CI: 9.4%-10.1%) in low-density settings (1 to 500 inhabitants/km2), 5.9% (95% CI: 4.9%-6.8%) in mid-urbanized settings (1,001 to 2,500 inhabitants/km2), 5.8% (95% CI: 4.5%-7.1%) in more densely populated settings (7,501 to 10,000 inhabitants/km2), and 5.5% (95% CI: 4.1%-7.0%) in high-density settings (>15,000 inhabitants/km2). Conclusions: The prevalence of DBM is higher in the least-urbanized settings such as rural and peri-urban areas, particularly those under 2,500 inhabitants/km2.

Funding Details

We are grateful to participants for comments made during project workshops held in Lima in January 2020 and to Andrea Gaspar, MD, for the critical review of this manuscript. DHS data and district-level population counts for each year can be freely downloaded from the INEI webpage available at https://www.inei.gob.pe/ (12). Both district-level surface area and altitude are provided by INEI via the webpage of Instituto del Peru from the Universidad San Martin de Porres, available at http://institutodelperu.pe/ (13).
FundersFunding numbers
INEI
-
Universidad de San Martin de Porres
-

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Sustainable Development Goals

  • SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well
  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities