Title
Urbanization in Peru is inversely associated with double burden of malnutrition: Pooled analysis of 92,841 mother–child pairs
Date Issued
01 August 2021
Access level
open access
Resource Type
journal article
Publisher(s)
John Wiley and Sons Inc
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.
Start page
1363
End page
1374
Volume
29
Issue
8
Language
English
OCDE Knowledge area
Nutrición, Dietética
Scopus EID
2-s2.0-85108215352
PubMed ID
Source
Obesity
ISSN of the container
19307381
Sponsor(s)
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).
Sources of information: Directorio de Producción Científica Scopus