Social inequality and child malnutrition in four Andean countries.

Rev Panam Salud Publica

Facultad Latinoamericana de Ciencias Sociales - Sede Ecuador, Quito, Ecuador, and Harvard Center for Society and Health, Boston, Massachusetts, USA.

Published: October 2002

Objective: To analyze the effects of socioeconomic, regional, and ethnic conditions on chronic malnutrition in four Andean countries of South America: Bolivia, Colombia, Ecuador, and Peru.

Methods: The study was based on Demographic and Health Surveys (DHS) for Colombia (1995), Peru (1996), and Bolivia (1997), and on a Living Standard Measurement Survey for Ecuador (1998). We developed an index of household socioeconomic status using categorical principal components analysis. We broke down the prevalence of stunting by socioeconomic status (SES), ethnicity, place of residence (large cities, small cities, towns, and countryside), and region (highland region versus other areas of the country). We applied smoothed regression curves and linear functions to analyze SES effects on stunting, with specific models for Bolivia, Ecuador, and Peru.

Results: Bolivia, Ecuador, and Peru have similar characteristics, with high stunting prevalences overall; higher stunting prevalences in their highland areas, particularly among indigenous populations; and strong socioeconomic disparities. Colombia, in contrast, has a lower stunting prevalence and smaller regional disparities. The socioeconomic gradient of stunting is strong in all four countries, with prevalence rates in the poorest deciles at least three times as high as those in the top decile.

Discussion: The sharp contrast between the conditions found in Bolivia, Ecuador, and Peru and those in Colombia may be the result of specific ethnic factors affecting indigenous groups; a particular diet profile in the highland areas, with low protein and micronutrient intake; and differences in the long-term economic and social development paths that the countries have taken. Along with the strong socioeconomic gradient in all the countries, the weight of ethnic and regional factors suggests the need to reduce inequality as well as to comprehensively improve education and housing, better target health and nutrition programs, and implement participatory programs integrated into indigenous cultures.

Download full-text PDF

Source
http://dx.doi.org/10.1590/s1020-49892002000500010DOI Listing

Publication Analysis

Top Keywords

bolivia ecuador
12
malnutrition andean
8
andean countries
8
socioeconomic status
8
ecuador peru
8
stunting prevalences
8
highland areas
8
strong socioeconomic
8
socioeconomic gradient
8
socioeconomic
6

Similar Publications

Aim: To describe the self-reported mental health of nurses from 35 countries who worked during the COVID-19 pandemic.

Background: There is little occupationally specific data about nurses' mental health worldwide. Studies have documented the impact on nurses' mental health of the COVID-19 pandemic, but few have baseline referents.

View Article and Find Full Text PDF

New taxa of butterflies supported by genomic analysis.

Taxon Rep Int Lepid Surv

November 2024

Department of Biophysics, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9050, USA.

Continuing with the genomic analysis of butterflies, we present a taxonomic update. As a result of this work, 3 genera, 6 subgenera, 16 species, and 2 subspecies are described as new. New genera and subgenera are (type species in parenthesis): Grishin, ( W.

View Article and Find Full Text PDF

Genomic analysis reveals hidden species diversity in Fabricius (Lepidoptera: Riodinidae).

Insecta mundi

November 2024

Departments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9050 USA.

Genomic analysis of [Fabricius], 1807 (Lepidoptera: Riodinidae Grote, 1895) reveals species richness higher than anticipated. As a result, one subgenus, 22 species, and one subspecies are proposed as new (type species or type localities in parenthesis): Grishin, ( Prittwitz, 1865), () Grishin, (Peru: Rio Pachitea, Monte Alegre), () Grishin, (Guyana: Cuyuni-Mazaruni), () Grishin, (Brazil: Santa Catarina), () Grishin, (Panama: Darién), () Grishin, (Ecuador: Santo Domingo), () Grishin, (Peru: Cuzco), () Grishin, (Panama: Chiriquí), () Grishin, (Mexico: Tamaulipas), () Grishin, (Mexico: Nuevo León), () Grishin, (Argentina: Salta), () Grishin, (Peru: Piura), () Grishin, (Bolivia: La Paz), () Grishin, (Mexico: Sonora), () Grishin, (Peru: Madre de Dios), () Grishin, (Bolivia: La Paz), () Grishin, (Mexico: Chiapas), () Grishin, (Panama: Darién), () Grishin, (Panama: Darién), () Grishin, (Panama: Darién), () Grishin, (Panama: Panamá), () Grishin, (Peru: Cuzco), () Grishin, (Brazil: São Paulo), and () Grishin, (Brazil: Paraná). The following five taxa are (not subspecies): () Schaus, 1928, (not () (Linnaeus, 1767)), () Stichel, 1910, (not () Westwood, 1851), () Stichel, 1929, (not () Godman and Salvin, 1886), () R.

View Article and Find Full Text PDF

Objectives: To examine prevalence trends in the use of smoked tobacco products in 11 South American (SA) countries (i.e., Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Paraguay, Peru, Suriname, Uruguay, and Venezuela) and their association with country-specific socio-demographic index (SDI) over 30 years.

View Article and Find Full Text PDF

Objective: To determine if the SARC-F tool, used to screen for sarcopenia risk, can also predict mild cognitive impairment (MCI) diagnosed with the Montreal Cognitive Assessment (MoCA) tool.

Methods: This is a sub-analysis of data from a cross-sectional study carried out in postmenopausal women from Latin America (nine countries) in which sociodemographic, clinical, and anthropometric data were collected, and the SARC-F and MoCA tools administered. From the original sample of 1185 women, analysis was performed only among the 772 with natural menopause.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!