Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age

ABSTRACT: The present study aimed to assess the associations of the stages of Fe deficiency (Fe deficiency without anaemia (ID) and Fe-deficiency anaemia (IDA)) and anaemia with metabolic syndrome (MetS) in Ecuadorian women. A cross-sectional study was conducted in 5894 women aged 20–59 years, based...

Full description

Autores:
Muñoz Ruiz, Melisa Alejandra
González Zapata, Laura Inés
Abril Ulloa, Victoria
Gaitán Charry, Diego Alejandro
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/25370
Acceso en línea:
http://hdl.handle.net/10495/25370
Palabra clave:
Metabolic syndrome
Síndrome Metabólico
Iron deficiency
Deficiencia de Hierro
Anemia
Women
Mujer
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_a8bbc2aec1d5b39687a8aad1cbcd4e8c
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/25370
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
title Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
spellingShingle Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
Metabolic syndrome
Síndrome Metabólico
Iron deficiency
Deficiencia de Hierro
Anemia
Women
Mujer
title_short Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
title_full Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
title_fullStr Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
title_full_unstemmed Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
title_sort Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive age
dc.creator.fl_str_mv Muñoz Ruiz, Melisa Alejandra
González Zapata, Laura Inés
Abril Ulloa, Victoria
Gaitán Charry, Diego Alejandro
dc.contributor.author.none.fl_str_mv Muñoz Ruiz, Melisa Alejandra
González Zapata, Laura Inés
Abril Ulloa, Victoria
Gaitán Charry, Diego Alejandro
dc.subject.decs.none.fl_str_mv Metabolic syndrome
Síndrome Metabólico
Iron deficiency
Deficiencia de Hierro
Anemia
Women
Mujer
topic Metabolic syndrome
Síndrome Metabólico
Iron deficiency
Deficiencia de Hierro
Anemia
Women
Mujer
description ABSTRACT: The present study aimed to assess the associations of the stages of Fe deficiency (Fe deficiency without anaemia (ID) and Fe-deficiency anaemia (IDA)) and anaemia with metabolic syndrome (MetS) in Ecuadorian women. A cross-sectional study was conducted in 5894 women aged 20–59 years, based on data from the 2012 Ecuadorian National Health and Nutrition Survey. The sample was stratified by age. A χ2 test was used to assess the possible associations of ID, IDA and anaemia with MetS. The prevalence ratio (PR) for each stage of Fe deficiency and anaemia was estimated considering women without MetS as a reference. The total prevalence of MetS, ID, IDA and anaemia was 32⋅3%(SE 0⋅6), 6⋅2%(SE 0⋅3), 7⋅1%(SE 0⋅3) and 5⋅0%(SE 0⋅3), respectively. In women aged 20–29, 30–39 and 40–49 years, MetS was associated with a lower prevalence of ID (PR (95 % CI; P-value)): 0⋅17 (0⋅06, 0⋅46; P < 0⋅001), 0⋅69 (0⋅48, 0⋅99; P = 0⋅044) and 0⋅44 (0⋅29, 0⋅67; P < 0⋅001), respectively. In women aged 50–59 years, MetS was associated with IDA and anaemia (PR (95 % CI; P-value)): 0⋅12 (0⋅02, 0⋅96; P = 0⋅026) and 0⋅22 (0⋅07, 0⋅64; P = 0⋅002), respectively. In conclusion, Ecuadorian women of reproductive age with MetS have a lower prevalence of ID compared with those without MetS. Furthermore, the MetS and IDA coexist at the population level. These findings require an analysis from a dietary pattern approach, which could provide key elements for developing public policies that simultaneously address all forms of malnutrition.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2022-01-19T15:25:54Z
dc.date.available.none.fl_str_mv 2022-01-19T15:25:54Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ART
dc.type.local.spa.fl_str_mv Artículo de investigación
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/25370
dc.identifier.doi.none.fl_str_mv 10.1017/jns.2020.55
dc.identifier.eissn.none.fl_str_mv 2048-6790
url http://hdl.handle.net/10495/25370
identifier_str_mv 10.1017/jns.2020.55
2048-6790
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv J. Nutr. Sci.
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.format.extent.spa.fl_str_mv 7
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Cambridge University Press
dc.publisher.group.spa.fl_str_mv Determinantes Sociales y Económicos de la Situación de Salud y Nutrición
dc.publisher.place.spa.fl_str_mv Cambridge, Inglaterra
institution Universidad de Antioquia
bitstream.url.fl_str_mv http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/1/GonzalezLaura_2021_MetabolicSyndrome.pdf
http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/2/license_rdf
http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/3/license.txt
bitstream.checksum.fl_str_mv a1bac8d2e3a352d9ef759a288ae25c6f
1646d1f6b96dbbbc38035efc9239ac9c
8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
repository.mail.fl_str_mv andres.perez@udea.edu.co
_version_ 1812173227743510528
spelling Muñoz Ruiz, Melisa AlejandraGonzález Zapata, Laura InésAbril Ulloa, VictoriaGaitán Charry, Diego Alejandro2022-01-19T15:25:54Z2022-01-19T15:25:54Z2021http://hdl.handle.net/10495/2537010.1017/jns.2020.552048-6790ABSTRACT: The present study aimed to assess the associations of the stages of Fe deficiency (Fe deficiency without anaemia (ID) and Fe-deficiency anaemia (IDA)) and anaemia with metabolic syndrome (MetS) in Ecuadorian women. A cross-sectional study was conducted in 5894 women aged 20–59 years, based on data from the 2012 Ecuadorian National Health and Nutrition Survey. The sample was stratified by age. A χ2 test was used to assess the possible associations of ID, IDA and anaemia with MetS. The prevalence ratio (PR) for each stage of Fe deficiency and anaemia was estimated considering women without MetS as a reference. The total prevalence of MetS, ID, IDA and anaemia was 32⋅3%(SE 0⋅6), 6⋅2%(SE 0⋅3), 7⋅1%(SE 0⋅3) and 5⋅0%(SE 0⋅3), respectively. In women aged 20–29, 30–39 and 40–49 years, MetS was associated with a lower prevalence of ID (PR (95 % CI; P-value)): 0⋅17 (0⋅06, 0⋅46; P < 0⋅001), 0⋅69 (0⋅48, 0⋅99; P = 0⋅044) and 0⋅44 (0⋅29, 0⋅67; P < 0⋅001), respectively. In women aged 50–59 years, MetS was associated with IDA and anaemia (PR (95 % CI; P-value)): 0⋅12 (0⋅02, 0⋅96; P = 0⋅026) and 0⋅22 (0⋅07, 0⋅64; P = 0⋅002), respectively. In conclusion, Ecuadorian women of reproductive age with MetS have a lower prevalence of ID compared with those without MetS. Furthermore, the MetS and IDA coexist at the population level. These findings require an analysis from a dietary pattern approach, which could provide key elements for developing public policies that simultaneously address all forms of malnutrition.COL00656087application/pdfengCambridge University PressDeterminantes Sociales y Económicos de la Situación de Salud y NutriciónCambridge, Inglaterrainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Metabolic syndrome may be associated with a lower prevalence of iron deficiency in Ecuadorian women of reproductive ageMetabolic syndromeSíndrome MetabólicoIron deficiencyDeficiencia de HierroAnemiaWomenMujerJ. Nutr. Sci.Journal of Nutritional Science17104ORIGINALGonzalezLaura_2021_MetabolicSyndrome.pdfGonzalezLaura_2021_MetabolicSyndrome.pdfArtículo de investigaciónapplication/pdf406667http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/1/GonzalezLaura_2021_MetabolicSyndrome.pdfa1bac8d2e3a352d9ef759a288ae25c6fMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/25370/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/25370oai:bibliotecadigital.udea.edu.co:10495/253702022-01-19 10:25:54.494Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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