Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study

[Objectives]: To determine whether handgrip strength (HG) and/or standing long jump (SLJ) are capable of detecting risk of metabolic syndrome (MetS) in European adolescents, and to identify age- and sex-specific cut points for these tests. [Design]: Cross-sectional study. [Methods]: Participants inc...

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Autores: Castro-Piñero, José, Laurson, Kelly R., Artero, Enrique G., Ortega, Francisco B., Labayen, Idoia, Rupérez, Azahara I., Zaqout, Mahmoud, Manios, Yannis, Vanhelst, Jeremy, Marcos, Ascensión, Polito, Angela, González-Gross, Marcela, Widhalm, Kurt, Moreno, Luis A., Gutiérrez, Ángel, Ruiz, Jonatan R.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/203787
Acceso en línea:http://hdl.handle.net/10261/203787
Access Level:acceso abierto
Palabra clave:Muscle fitness
Cardiometabolic risk
Adolescents
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spelling Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA studyCastro-Piñero, JoséLaurson, Kelly R.Artero, Enrique G.Ortega, Francisco B.Labayen, IdoiaRupérez, Azahara I.Zaqout, MahmoudManios, YannisVanhelst, JeremyMarcos, AscensiónPolito, AngelaGonzález-Gross, MarcelaWidhalm, KurtMoreno, Luis A.Gutiérrez, ÁngelRuiz, Jonatan R.Muscle fitnessCardiometabolic riskAdolescents[Objectives]: To determine whether handgrip strength (HG) and/or standing long jump (SLJ) are capable of detecting risk of metabolic syndrome (MetS) in European adolescents, and to identify age- and sex-specific cut points for these tests. [Design]: Cross-sectional study. [Methods]: Participants included 969 (aged 12.5–17.5 years old) adolescents from 9 European countries (n = 520 girls). Absolute and relative HG and SLJ tests were used to assess upper and lower muscle strength, respectively. MetS status was determined using the age- and sex-specific cut points proposed by Jolliffe and Janssen's, Additionally, we computed a continuous cardiometabolic risk index with the average z-score of four cardiometabolic risk factors: Wait circumference, mean arterial pressure, triglycerides/high-density lipoprotein cholesterol, and fasting insulin. [Results]: The prevalence of MetS was 3.1% in European adolescents. Relative HG and absolute SLJ were the best tests for detecting the presence of MetS (Area under the receiver operating characteristic (AUC) = 0.799, 95%CI:0.773–0.824; and AUC = 0.695 95%CI:0.665–0.724), respectively) and elevated cardiometabolic risk index (AUC = 0.873, 95%CI:0.838–0.902; and AUC = 0.728 95%CI:0.698–0.756), respectively) and, regardless of cardiorespiratory fitness. We provide age- and sex-specific cut points of upper and lower muscle strength for European adolescents to identify the presence of MetS and elevated cardiometabolic risk index. [Conclusions]: The proposed health-related cut points could be used as a starting point to define health-related levels of upper and lower muscle strength in adolescents. Likewise, the diagnostic statistics provided herein can be used to offer feedback to adolescents, parents, and education and health professionals about what it means to meet or fail test standards.The HELENA project was supported by the European Community Sixth RTD Framework Programme (contract FOOD-CT-2005-007034). The data for this study was gathered under the aegis of the HELENA project, and further analysis was additionally supported by the Spanish Ministry of Economy and Competitiveness (grants RYC-201416390), the Spanish Ministry of Health: Maternal, Child Health and Development Network (grant RD16/0022), the Fondo Europeo de Desarrollo Regional (MICINN-FEDER) and by the University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Unit of Excellence on Exercise and Health (UCEES) and Plan Propio de Investigación 2018 - Programa Contratos-Puente, and the Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades (FEDER, ref. SOMM17/6107/UGR).ElsevierMinisterio de Educación (España)Ministerio de Ciencia e Innovación (España)Universidad de GranadaEuropean CommissionJunta de AndalucíaMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/203787reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.jsams.2019.04.008Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2037872026-05-22T06:33:51Z
dc.title.none.fl_str_mv Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
title Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
spellingShingle Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
Castro-Piñero, José
Muscle fitness
Cardiometabolic risk
Adolescents
title_short Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
title_full Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
title_fullStr Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
title_full_unstemmed Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
title_sort Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study
dc.creator.none.fl_str_mv Castro-Piñero, José
Laurson, Kelly R.
Artero, Enrique G.
Ortega, Francisco B.
Labayen, Idoia
Rupérez, Azahara I.
Zaqout, Mahmoud
Manios, Yannis
Vanhelst, Jeremy
Marcos, Ascensión
Polito, Angela
González-Gross, Marcela
Widhalm, Kurt
Moreno, Luis A.
Gutiérrez, Ángel
Ruiz, Jonatan R.
author Castro-Piñero, José
author_facet Castro-Piñero, José
Laurson, Kelly R.
Artero, Enrique G.
Ortega, Francisco B.
Labayen, Idoia
Rupérez, Azahara I.
Zaqout, Mahmoud
Manios, Yannis
Vanhelst, Jeremy
Marcos, Ascensión
Polito, Angela
González-Gross, Marcela
Widhalm, Kurt
Moreno, Luis A.
Gutiérrez, Ángel
Ruiz, Jonatan R.
author_role author
author2 Laurson, Kelly R.
Artero, Enrique G.
Ortega, Francisco B.
Labayen, Idoia
Rupérez, Azahara I.
Zaqout, Mahmoud
Manios, Yannis
Vanhelst, Jeremy
Marcos, Ascensión
Polito, Angela
González-Gross, Marcela
Widhalm, Kurt
Moreno, Luis A.
Gutiérrez, Ángel
Ruiz, Jonatan R.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Educación (España)
Ministerio de Ciencia e Innovación (España)
Universidad de Granada
European Commission
Junta de Andalucía
Ministerio de Economía y Competitividad (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Muscle fitness
Cardiometabolic risk
Adolescents
topic Muscle fitness
Cardiometabolic risk
Adolescents
description [Objectives]: To determine whether handgrip strength (HG) and/or standing long jump (SLJ) are capable of detecting risk of metabolic syndrome (MetS) in European adolescents, and to identify age- and sex-specific cut points for these tests. [Design]: Cross-sectional study. [Methods]: Participants included 969 (aged 12.5–17.5 years old) adolescents from 9 European countries (n = 520 girls). Absolute and relative HG and SLJ tests were used to assess upper and lower muscle strength, respectively. MetS status was determined using the age- and sex-specific cut points proposed by Jolliffe and Janssen's, Additionally, we computed a continuous cardiometabolic risk index with the average z-score of four cardiometabolic risk factors: Wait circumference, mean arterial pressure, triglycerides/high-density lipoprotein cholesterol, and fasting insulin. [Results]: The prevalence of MetS was 3.1% in European adolescents. Relative HG and absolute SLJ were the best tests for detecting the presence of MetS (Area under the receiver operating characteristic (AUC) = 0.799, 95%CI:0.773–0.824; and AUC = 0.695 95%CI:0.665–0.724), respectively) and elevated cardiometabolic risk index (AUC = 0.873, 95%CI:0.838–0.902; and AUC = 0.728 95%CI:0.698–0.756), respectively) and, regardless of cardiorespiratory fitness. We provide age- and sex-specific cut points of upper and lower muscle strength for European adolescents to identify the presence of MetS and elevated cardiometabolic risk index. [Conclusions]: The proposed health-related cut points could be used as a starting point to define health-related levels of upper and lower muscle strength in adolescents. Likewise, the diagnostic statistics provided herein can be used to offer feedback to adolescents, parents, and education and health professionals about what it means to meet or fail test standards.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/203787
url http://hdl.handle.net/10261/203787
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.jsams.2019.04.008
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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