Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants

Background. 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...

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Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24167
Acceso en línea:
https://doi.org/10.1017/gheg.2018.4
https://repository.urosario.edu.co/handle/10336/24167
Palabra clave:
Adult
Anthropometry
Article
Biotypology
Body mass
Child
Colombia
Colombian
Correlational study
Demography
Disease burden
Educational status
Female
Health survey
Household
Human
Infant
Maternal age
Medical information
Mother
Obesity
Parity
Population density
Preschool child
Priority journal
Stunting
Underweight
Colombia
Latin america
Multilevel models
Nutrition transition
Obesity
Rights
License
Abierto (Texto Completo)
id EDOCUR2_d2de3315daf3dfffbf7a9a9498e9c258
oai_identifier_str oai:repository.urosario.edu.co:10336/24167
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 1194e739-a440-42a0-b15f-d891cc633aaf-1bdcdf261-a4a3-40b0-bb71-3860379fbbcf-1cb1f9fd4-0bff-414e-b154-40ac58d7d0ac-1f08b8f22-24c9-4bf7-ac4d-41467637868a-1f10990c5-cabc-4fe9-b793-96d013e608a6-1eef2e8cf-de2a-44ff-8c10-c30f7032a061-12020-05-26T00:09:38Z2020-05-26T00:09:38Z2018Background. 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.application/pdfhttps://doi.org/10.1017/gheg.2018.4https://repository.urosario.edu.co/handle/10336/24167engCambridge University PressGlobal HealthVol. 3Global Health, Epidemiology and Genomics, Vol.3,(2018)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057985919&doi=10.1017%2fgheg.2018.4&partnerID=40&md5=e804eb84c397cb5afa9a269ebbece384Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAdultAnthropometryArticleBiotypologyBody massChildColombiaColombianCorrelational studyDemographyDisease burdenEducational statusFemaleHealth surveyHouseholdHumanInfantMaternal ageMedical informationMotherObesityParityPopulation densityPreschool childPriority journalStuntingUnderweightColombiaLatin americaMultilevel modelsNutrition transitionObesityMultilevel correlates of household anthropometric typologies in Colombian mothers and their infantsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Parra, D. C.Gomez, L. F.Iannotti, L.Haire-Joshu, D.Kuhlmann, A. K. SebertBrownson, R. C.10336/24167oai:repository.urosario.edu.co:10336/241672022-05-02 07:37:21.55368https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
title Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
spellingShingle Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
Adult
Anthropometry
Article
Biotypology
Body mass
Child
Colombia
Colombian
Correlational study
Demography
Disease burden
Educational status
Female
Health survey
Household
Human
Infant
Maternal age
Medical information
Mother
Obesity
Parity
Population density
Preschool child
Priority journal
Stunting
Underweight
Colombia
Latin america
Multilevel models
Nutrition transition
Obesity
title_short Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
title_full Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
title_fullStr Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
title_full_unstemmed Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
title_sort Multilevel correlates of household anthropometric typologies in Colombian mothers and their infants
dc.subject.keyword.spa.fl_str_mv Adult
Anthropometry
Article
Biotypology
Body mass
Child
Colombia
Colombian
Correlational study
Demography
Disease burden
Educational status
Female
Health survey
Household
Human
Infant
Maternal age
Medical information
Mother
Obesity
Parity
Population density
Preschool child
Priority journal
Stunting
Underweight
Colombia
Latin america
Multilevel models
Nutrition transition
Obesity
topic Adult
Anthropometry
Article
Biotypology
Body mass
Child
Colombia
Colombian
Correlational study
Demography
Disease burden
Educational status
Female
Health survey
Household
Human
Infant
Maternal age
Medical information
Mother
Obesity
Parity
Population density
Preschool child
Priority journal
Stunting
Underweight
Colombia
Latin america
Multilevel models
Nutrition transition
Obesity
description Background. 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.
publishDate 2018
dc.date.created.spa.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:09:38Z
dc.date.available.none.fl_str_mv 2020-05-26T00:09:38Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1017/gheg.2018.4
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/24167
url https://doi.org/10.1017/gheg.2018.4
https://repository.urosario.edu.co/handle/10336/24167
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv Global Health
dc.relation.citationVolume.none.fl_str_mv Vol. 3
dc.relation.ispartof.spa.fl_str_mv Global Health, Epidemiology and Genomics, Vol.3,(2018)
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057985919&doi=10.1017%2fgheg.2018.4&partnerID=40&md5=e804eb84c397cb5afa9a269ebbece384
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Cambridge University Press
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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