Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia

Background: Evidence shows an association between grip strength and health; however, grip strength cut-offs for the detection of metabolic syndrome (MetS) in Latin American populations are scarce. The purpose of this study was to determine cut-offs of normalized grip strength (NGS) for the detection...

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Autores: García Hermoso, Antonio, Tordecilla Sanders, Alejandra, Correa Bautista, Jorge Enrique, Peterson, Mark Dean, Izquierdo Redín, Mikel, Quino Ávila, Aura Cristina, Sandoval Cuellar, Carolina, González Ruiz, Katherine, Ramírez Vélez, Robinson
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/34338
Acceso en línea:https://hdl.handle.net/2454/34338
Access Level:acceso abierto
Palabra clave:Cardiometabolic risk
Muscular fitness
Receiver operating characteristic curve
Thresholds
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spelling Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from ColombiaGarcía Hermoso, AntonioTordecilla Sanders, AlejandraCorrea Bautista, Jorge EnriquePeterson, Mark DeanIzquierdo Redín, MikelQuino Ávila, Aura CristinaSandoval Cuellar, CarolinaGonzález Ruiz, KatherineRamírez Vélez, RobinsonCardiometabolic riskMuscular fitnessReceiver operating characteristic curveThresholdsBackground: Evidence shows an association between grip strength and health; however, grip strength cut-offs for the detection of metabolic syndrome (MetS) in Latin American populations are scarce. The purpose of this study was to determine cut-offs of normalized grip strength (NGS) for the detection of MetS in a large nonrepresentative sample of a collegiate student population from Colombia. Methods: A total of 1795 volunteers (61.4% female, age = 20.68 ± 3.10 years, mean ± SD), ranging between 18 and 30 years of age participated in the study. Strength was estimated using a handheld dynamometer and normalized to body mass (handgrip strength (kg)/body mass (kg)). Anthropometrics, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis. MetS was defined as including ≥3 of the 5 metabolic abnormalities according to the International Diabetes Federation definition. A metabolic risk score was computed from the following components: waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure. Results: Receiver operating curve analysis showed significant discriminatory accuracy of NGS in identifying the thresholds and risk categories. Lower strength was associated with increased prevalence of MetS. In males, weak, intermediate, and strong NGS values at these points were <0.466, 0.466–0.615, >0.615, respectively. In females, these cut-off points were <0.332, 0.332–0.437, >0.437, respectively. Conclusion: Our sex-specific cut-offs of NGS could be incorporated into a clinical setting for identifying college students at cardiometabolic disease risk.This study was part of the project entitled Body Adiposity Index and Biomarkers of Endothelial and Cardiovascular Health in Adults, which was funded by the Centre for Studies on Measurement of Physical Activity, School of Medicine and Health Sciences, Universidad del Rosario (Code N. FIUR DN-BG001) and Universidad de Boyacá (Code N. RECT 60).ElsevierCiencias de la SaludOsasun Zientziak2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/34338reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglés© 2018. This is an open access article under the CC BY-NC-ND license.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/343382026-06-17T12:41:47Z
dc.title.none.fl_str_mv Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
title Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
spellingShingle Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
García Hermoso, Antonio
Cardiometabolic risk
Muscular fitness
Receiver operating characteristic curve
Thresholds
title_short Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
title_full Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
title_fullStr Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
title_full_unstemmed Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
title_sort Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia
dc.creator.none.fl_str_mv García Hermoso, Antonio
Tordecilla Sanders, Alejandra
Correa Bautista, Jorge Enrique
Peterson, Mark Dean
Izquierdo Redín, Mikel
Quino Ávila, Aura Cristina
Sandoval Cuellar, Carolina
González Ruiz, Katherine
Ramírez Vélez, Robinson
author García Hermoso, Antonio
author_facet García Hermoso, Antonio
Tordecilla Sanders, Alejandra
Correa Bautista, Jorge Enrique
Peterson, Mark Dean
Izquierdo Redín, Mikel
Quino Ávila, Aura Cristina
Sandoval Cuellar, Carolina
González Ruiz, Katherine
Ramírez Vélez, Robinson
author_role author
author2 Tordecilla Sanders, Alejandra
Correa Bautista, Jorge Enrique
Peterson, Mark Dean
Izquierdo Redín, Mikel
Quino Ávila, Aura Cristina
Sandoval Cuellar, Carolina
González Ruiz, Katherine
Ramírez Vélez, Robinson
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ciencias de la Salud
Osasun Zientziak
dc.subject.none.fl_str_mv Cardiometabolic risk
Muscular fitness
Receiver operating characteristic curve
Thresholds
topic Cardiometabolic risk
Muscular fitness
Receiver operating characteristic curve
Thresholds
description Background: Evidence shows an association between grip strength and health; however, grip strength cut-offs for the detection of metabolic syndrome (MetS) in Latin American populations are scarce. The purpose of this study was to determine cut-offs of normalized grip strength (NGS) for the detection of MetS in a large nonrepresentative sample of a collegiate student population from Colombia. Methods: A total of 1795 volunteers (61.4% female, age = 20.68 ± 3.10 years, mean ± SD), ranging between 18 and 30 years of age participated in the study. Strength was estimated using a handheld dynamometer and normalized to body mass (handgrip strength (kg)/body mass (kg)). Anthropometrics, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis. MetS was defined as including ≥3 of the 5 metabolic abnormalities according to the International Diabetes Federation definition. A metabolic risk score was computed from the following components: waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure. Results: Receiver operating curve analysis showed significant discriminatory accuracy of NGS in identifying the thresholds and risk categories. Lower strength was associated with increased prevalence of MetS. In males, weak, intermediate, and strong NGS values at these points were <0.466, 0.466–0.615, >0.615, respectively. In females, these cut-off points were <0.332, 0.332–0.437, >0.437, respectively. Conclusion: Our sex-specific cut-offs of NGS could be incorporated into a clinical setting for identifying college students at cardiometabolic disease risk.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/34338
url https://hdl.handle.net/2454/34338
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv © 2018. This is an open access article under the CC BY-NC-ND license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2018. This is an open access article under the CC BY-NC-ND license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
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