Maternal and familial correlates of anthropometric typologies in the nutrition transition of Colombia, 2000–2010
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2018-06-01Autore/i aziendale
Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Medicina Preventiva y Social. Grupo de investigación de Medicina Preventiva y Social
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Artículo de revista
ISSN
1368-9800 / 1475-2727 (Electrónico)
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Objective: We aimed to assess the maternal and family determinants of four
anthropometric typologies at the household level in Colombia for the years 2000,
2005 and 2010.
Design: We classified children <5 years old according to height-for-age Z-score
(<−2) and BMI-for-age Z-score (>2) to assess stunting and overweight/obesity,
respectively; mothers were categorized according to BMI to assess underweight
(<18·5 kg/m2
) and overweight/obesity (≥25·0 kg/m2
). At the household level, we
established four final anthropometric typologies: normal, underweight, overweight and dual-burden households. Separate polytomous logistic regression
models for each of the surveyed years were developed to examine several
maternal and familial determinants of the different anthropometric typologies.
Setting: National and sub-regional (urban and rural) representative samples from
Colombia, South America.
Subjects: Drawing on data from three waves of Colombia’s Demographic and
Health Survey/Encuesta Nacional de Salud (DHS/ENDS), we examined individual
and household information from mothers (18–49 years) and their children (birth–
5 years).
Results: Higher parity was associated with an increased likelihood of overweight
and dual burden. Higher levels of maternal education were correlated with lower
prevalence of overweight, underweight and dual burden of malnutrition in all data
collection waves. In 2010, participation in nutrition programmes for children
<5 years, being an indigenous household, food purchase decisions by the mother
and food security classification were also associated with the four anthropometric
typologies.
Conclusions: Results suggest that maternal and family correlates of certain
anthropometric typologies at the household level may be used to better frame
policies aimed at improving social conditions and nutrition outcomes.
Copertura spaziale
ColombiaEditoriale
Public Health Nutrition; Volumen 21 Número 14 , Páginas 2584 - 2594 (2018)
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