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...
- Autores:
- 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)
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oai:repository.urosario.edu.co:10336/24167 |
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|
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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 |
_version_ |
1814167497777086464 |