dc.creatorParra, D. C.
dc.creatorGomez, L. F.
dc.creatorIannotti, L.
dc.creatorHaire-Joshu, D.
dc.creatorKuhlmann, A. K. Sebert
dc.creatorBrownson, R. C.
dc.date.accessioned2020-05-26T00:09:38Z
dc.date.accessioned2022-09-22T14:04:05Z
dc.date.available2020-05-26T00:09:38Z
dc.date.available2022-09-22T14:04:05Z
dc.date.created2020-05-26T00:09:38Z
dc.identifierhttps://repository.urosario.edu.co/handle/10336/24167
dc.identifierhttps://doi.org/10.1017/gheg.2018.4
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3435518
dc.description.abstractBackground. The aim of this study was to establish the association of maternal, family, and contextual correlates of anthropometric typologies at the household level in Colombia using 2005 Demographic Health Survey (DHS/ENDS) data.Methods. Household-level information from mothers 18-49 years old and their children less than 5 years old was included. Stunting and overweight were assessed for each child. Mothers were classified according to their body mass index. Four anthropometric typologies at the household level were constructed: normal, underweight, overweight, and dual burden. Four three-level [households (n = 8598) nested within municipalities (n = 226), nested within states (n = 32)] hierarchical polytomous logistic models were developed. Household log-odds of belonging to one of the four anthropometric categories, holding 'normal' as the reference group, were obtained.Results. This study found that anthropometric typologies were associated with maternal and family characteristics of maternal age, parity, maternal education, and wealth index. Higher municipal living conditions index was associated with a lower likelihood of underweight typology and a higher likelihood of overweight typology. Higher population density was associated with a lower likelihood of overweight typology.Conclusion. Distal and proximal determinants of the various anthropometric typologies at the household level should be taken into account when framing policies and designing interventions to reduce malnutrition in Colombia. Copyright © The Author(s) 2018.
dc.languageeng
dc.publisherCambridge University Press
dc.relationGlobal Health, Epidemiology and Genomics, Vol.3,(2018)
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057985919&doi=10.1017%2fgheg.2018.4&partnerID=40&md5=e804eb84c397cb5afa9a269ebbece384
dc.relationGlobal Health
dc.relationVol. 3
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.titleMultilevel correlates of household anthropometric typologies in Colombian mothers and their infants
dc.typearticle


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