The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone

Digital

Autores:
Lopez-Lopez, Jose
Cohen, Daniel Dylan
Ney-Salazar, Daniela
Martinez, Daniel
Otero, Johanna
Gomez-Arbelaez, Diego
Camacho-Lopez, Paul Antony
Sanchez-Vallejo, Gregorio
Arcos, Edgar
Narvaez, Claudia
Garcia, Henry
Perez, Maritza
Molina, Dora I.
Cure, Carlos
Sotomayor, Aristides
Rico, Alvaro
Hernandez-Triana, Eric
Duran Parra, Myriam
Cotes, Fresia
Leong, Darryl P.
Rangarajan, Sumathy
Yusuf, Salim
Lopez-Jaramillo, Patricio
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad de Santander
Repositorio:
Repositorio Universidad de Santander
Idioma:
eng
OAI Identifier:
oai:repositorio.udes.edu.co:001/6040
Acceso en línea:
https://doi.org/10.1186/s12933-021-01256-z
https://repositorio.udes.edu.co/handle/001/6040
Palabra clave:
Rights
openAccess
License
Copyright © 2021, The Author(s)
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dc.title.spa.fl_str_mv The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
spellingShingle The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title_short The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title_full The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title_fullStr The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title_full_unstemmed The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
title_sort The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
dc.creator.fl_str_mv Lopez-Lopez, Jose
Cohen, Daniel Dylan
Ney-Salazar, Daniela
Martinez, Daniel
Otero, Johanna
Gomez-Arbelaez, Diego
Camacho-Lopez, Paul Antony
Sanchez-Vallejo, Gregorio
Arcos, Edgar
Narvaez, Claudia
Garcia, Henry
Perez, Maritza
Molina, Dora I.
Cure, Carlos
Sotomayor, Aristides
Rico, Alvaro
Hernandez-Triana, Eric
Duran Parra, Myriam
Cotes, Fresia
Leong, Darryl P.
Rangarajan, Sumathy
Yusuf, Salim
Lopez-Jaramillo, Patricio
dc.contributor.author.none.fl_str_mv Lopez-Lopez, Jose
Cohen, Daniel Dylan
Ney-Salazar, Daniela
Martinez, Daniel
Otero, Johanna
Gomez-Arbelaez, Diego
Camacho-Lopez, Paul Antony
Sanchez-Vallejo, Gregorio
Arcos, Edgar
Narvaez, Claudia
Garcia, Henry
Perez, Maritza
Molina, Dora I.
Cure, Carlos
Sotomayor, Aristides
Rico, Alvaro
Hernandez-Triana, Eric
Duran Parra, Myriam
Cotes, Fresia
Leong, Darryl P.
Rangarajan, Sumathy
Yusuf, Salim
Lopez-Jaramillo, Patricio
dc.contributor.researchgroup.spa.fl_str_mv Masira
description Digital
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-03-22
dc.date.accessioned.none.fl_str_mv 2022-02-17T21:42:09Z
dc.date.available.none.fl_str_mv 2022-02-17T21:42:09Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1186/s12933-021-01256-z
dc.identifier.uri.none.fl_str_mv https://repositorio.udes.edu.co/handle/001/6040
url https://doi.org/10.1186/s12933-021-01256-z
https://repositorio.udes.edu.co/handle/001/6040
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationvolume.spa.fl_str_mv 20
dc.relation.cites.none.fl_str_mv Lopez-Lopez, J.P., Cohen, D.D., Ney-Salazar, D. et al. The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone. Cardiovasc Diabetol 20, 68 (2021). https://doi.org/10.1186/s12933-021-01256-z
dc.relation.indexed.spa.fl_str_mv Scopus
dc.relation.ispartofjournal.spa.fl_str_mv Cardiovascular Diabetology
dc.rights.spa.fl_str_mv Copyright © 2021, The Author(s)
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.creativecommons.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/
rights_invalid_str_mv Copyright © 2021, The Author(s)
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
https://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 11 p
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Cardiovascular Diabetology
dc.publisher.place.spa.fl_str_mv Reino Unido
dc.source.spa.fl_str_mv https://cardiab.biomedcentral.com/articles/10.1186/s12933-021-01256-z
institution Universidad de Santander
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spelling Lopez-Lopez, Jose1df0fc51-a74a-4efb-ae8d-d8c9f47c5dae-1Cohen, Daniel Dylan59ea2752-7b66-4b0c-a3b4-d284f433ea88-1Ney-Salazar, Daniela83c5f9a8-f88a-4139-ab9e-2a6bbffe4805-1Martinez, Daniel31bd79a7-afe9-483e-86af-e091d5cdd7a2-1Otero, Johannaecebcf69-24a2-4153-97be-4ea9057e3e1f-1Gomez-Arbelaez, Diego0b4f0969-e412-4529-b19d-3d508e468d51-1Camacho-Lopez, Paul Antony0f824834-9592-4ead-86c4-bda42ad88183-1Sanchez-Vallejo, Gregorio2c3d8256-1ff3-4dcf-a85f-3f24fca2942a-1Arcos, Edgar5c460207-ea33-412e-a0a6-063b15b2ca95-1Narvaez, Claudia1d3fe20b-6df8-4332-8fef-699eb714e886-1Garcia, Henry201df3f4-311c-48bd-ac84-f15d8422ec1e-1Perez, Maritza890ec92f-b9e2-436a-9200-ded02f664efe-1Molina, Dora I.225d863d-6d12-4408-a1de-50047831b3c4-1Cure, Carlos4ef0966a-9ecf-4405-817a-773238bcffb5-1Sotomayor, Aristides4e0ae085-310c-4cd4-9101-6824cd1ba35f-1Rico, Alvarob889428e-5bd8-4154-b221-4f08a26fe6ed-1Hernandez-Triana, Ericc7444579-f845-4855-89fd-f21ad3c6a84c-1Duran Parra, Myriam68010965-bb49-4e6b-bfdd-297ddb085f6a-1Cotes, Fresia3e8dda62-0daa-497b-a7db-febdfba5a7e7-1Leong, Darryl P.707b53c2-976c-44c2-a420-3de6a35f35e8-1Rangarajan, Sumathy5466c363-e515-4bd2-8537-eb839320f385-1Yusuf, Salim06a836b5-f5e3-41d9-a516-9cc46e5d7948-1Lopez-Jaramillo, Patricio9a71267b-dcb0-4d31-b37d-2d30be58d4d2-1Masira2022-02-17T21:42:09Z2022-02-17T21:42:09Z2021-03-22DigitalBackground: Adiposity is a major component of the metabolic syndrome (MetS), low muscle strength has also been identifed as a risk factor for MetS and for cardiovascular disease. We describe the prevalence of MetS and evaluate the relationship between muscle strength, anthropometric measures of adiposity, and associations with the cluster of the components of MetS, in a middle-income country. Methods: MetS was defned by the International Diabetes Federation criteria. To assess the association between anthropometric variables (waist circumference (WC), waist-to-hip ratio (W/H), body mass index (BMI)), strength (hand‑grip/kg bodyweight (HGS/BW)) and the cluster of MetS, we created a MetS score. For each alteration (high triglycer‑ides, low HDLc, dysglycemia, or high blood pressure) one point was conferred. To evaluate the association an index of fat:muscle and MetS score, participants were divided into 9 groups based on combinations of sex-specifc tertiles of WC and HGS/BW. Results: The overall prevalence of MetS in the 5,026 participants (64% women; mean age 51.2 years) was 42%. Lower HGS/BW, and higher WC, BMI, and W/H were associated with a higher MetS score. Amongst the 9 HGS/BW:WC groups, participants in the lowest tertile of HGS/BW and the highest tertile of WC had a higher MetS score (OR=4.69 in women and OR=8.25 in men;p<0.01) compared to those in the highest tertile of HGS/BW and in the lowest tertile of WC. Conclusion: WC was the principal risk factor for a high MetS score and an inverse association between HGS/BW and MetS score was found. Combining these anthropometric measures improved the prediction of metabolic alterations over either aloneCiencias Médicas y de la Salud11 papplication/pdfhttps://doi.org/10.1186/s12933-021-01256-zhttps://repositorio.udes.edu.co/handle/001/6040engCardiovascular DiabetologyReino Unido20Lopez-Lopez, J.P., Cohen, D.D., Ney-Salazar, D. et al. The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone. Cardiovasc Diabetol 20, 68 (2021). https://doi.org/10.1186/s12933-021-01256-zScopusCardiovascular DiabetologyCopyright © 2021, The Author(s)info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2https://cardiab.biomedcentral.com/articles/10.1186/s12933-021-01256-zThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either aloneArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Todas las AudienciasPublicationORIGINALThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdfThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdfapplication/pdf242033https://repositorio.udes.edu.co/bitstreams/159bddff-3bec-4cd1-9ff3-032085895732/downloadcbb3dad4499587d30b1a210e7ac7cc04MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-859https://repositorio.udes.edu.co/bitstreams/1dfca8ba-8b6e-4952-940c-e2a9404109a0/download38d94cf55aa1bf2dac1a736ac45c881cMD52TEXTThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdf.txtThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdf.txtExtracted texttext/plain5https://repositorio.udes.edu.co/bitstreams/2db63ed9-70a0-4205-b6f6-dd1948c57b17/download5dbe86c1111d64f45ba435df98fdc825MD53THUMBNAILThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdf.jpgThe prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.pdf.jpgGenerated Thumbnailimage/jpeg12644https://repositorio.udes.edu.co/bitstreams/19a40419-25e2-44d4-8c00-5d57912ecc9e/download2cfcec1bb2d12103f53ddf6c2e39f7f0MD54001/6040oai:repositorio.udes.edu.co:001/60402023-10-09 16:55:23.485https://creativecommons.org/licenses/by-nc/4.0/Copyright © 2021, The Author(s)https://repositorio.udes.edu.coRepositorio Universidad de Santandersoporte@metabiblioteca.comTGljZW5jaWEgZGUgUHVibGljYWNpw7NuIFVERVMKRGlyZWN0cmljZXMgZGUgVVNPIHkgQUNDRVNPCgo=