Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents

Objective: To determine the ability of 8 different maximal oxygen uptake (VO 2max ) equations to discriminate between low and high cardiometabolic risk, and to determine cardiorespiratory fitness (CRF) cutoffs associated with a more favorable cardiometabolic risk profile in Colombian children and ad...

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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:10336/22426
Acceso en línea:
https://doi.org/10.1016/j.jpeds.2017.11.007
https://repository.urosario.edu.co/handle/10336/22426
Palabra clave:
Glucose
High density lipoprotein cholesterol
Triacylglycerol
Oxygen
Adolescent
Article
Body fat
Cardiometabolic risk
Cardiorespiratory fitness
Child
Colombian
Comparative study
Cross-sectional study
Diastolic blood pressure
Different maximal oxygen uptake\\\
Female
Glucose blood level
Groups by age
High density lipoprotein cholesterol level
High risk population
Human
Low risk population
Major clinical study
Male
Oxygen consumption
Priority journal
Receiver operating characteristic
School child
Sensitivity and specificity
Sex difference
Systolic blood pressure
Triacylglycerol blood level
Waist circumference
Colombia
Differential diagnosis
Exercise test
Metabolic syndrome x
Metabolism
Oxygen consumption
Physiology
Procedures
Risk assessment
Risk factor
Adolescent
Cardiorespiratory fitness
Child
Colombia
Cross-sectional studies
Exercise test
Female
Humans
Male
Metabolic syndrome
Oxygen
Oxygen consumption
Risk assessment
Risk factors
Sensitivity and specificity
Cardiorespiratory fitness
Exercise field test
Metabolic risk
Shuttle run
differential
Diagnosis
Rights
License
Abierto (Texto Completo)
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network_name_str Repositorio EdocUR - U. Rosario
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spelling dd720aeb-5f85-44cd-bc7d-58877ddc8b55-14d347195-d4a2-4a45-9c5a-3b85e9e8a2f5-1825b2f82-a17a-4fa4-9c94-d53dd6c7441f-172183d6d-f5a0-4ed5-9972-6e4a85dc37a9-12020-05-25T23:56:27Z2020-05-25T23:56:27Z2018Objective: To determine the ability of 8 different maximal oxygen uptake (VO 2max ) equations to discriminate between low and high cardiometabolic risk, and to determine cardiorespiratory fitness (CRF) cutoffs associated with a more favorable cardiometabolic risk profile in Colombian children and adolescents. Study design: In a cross-sectional study, CRF was estimated using the 20-m shuttle run test in 2870 schoolchildren (54.5% girls) from Bogota, Colombia. We computed a metabolic syndrome score (MetScore) as the sum of the age- and sex-standardized scores of waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure. Results: Linear regression analyses showed that the Barnett et al (b) and Mahar equations were negatively associated with MetScore, showing the highest discriminatory accuracy for identifying the low/high cardiometabolic risk in both sexes and both age groups (9-12 years and 13-17 years). Conclusions: We propose that the Barnett et al (b) equation for boys and girls, VO 2max = 25.8 × (6.6 × G × 0.2 × (body mass + 3.2 × (final speed))), where G is gender (male = 0; female = 1), be used to classify youths at metabolic risk. The CRF cutoffs can serve as a quantitative marker of a healthier cardiovascular profile in Colombian children and adolescents. © 2017 Elsevier Inc.application/pdfhttps://doi.org/10.1016/j.jpeds.2017.11.0070022347610976833https://repository.urosario.edu.co/handle/10336/22426engMosby Inc.157.e1 152Journal of PediatricsVol. 194Journal of Pediatrics, ISSN:00223476, 10976833, Vol.194,(2018); pp. 152-157.e1https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039862104&doi=10.1016%2fj.jpeds.2017.11.007&partnerID=40&md5=5814799ebff329ab743a2e413b189ad1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURGlucoseHigh density lipoprotein cholesterolTriacylglycerolOxygenAdolescentArticleBody fatCardiometabolic riskCardiorespiratory fitnessChildColombianComparative studyCross-sectional studyDiastolic blood pressureDifferent maximal oxygen uptake\\\FemaleGlucose blood levelGroups by ageHigh density lipoprotein cholesterol levelHigh risk populationHumanLow risk populationMajor clinical studyMaleOxygen consumptionPriority journalReceiver operating characteristicSchool childSensitivity and specificitySex differenceSystolic blood pressureTriacylglycerol blood levelWaist circumferenceColombiaDifferential diagnosisExercise testMetabolic syndrome xMetabolismOxygen consumptionPhysiologyProceduresRisk assessmentRisk factorAdolescentCardiorespiratory fitnessChildColombiaCross-sectional studiesExercise testFemaleHumansMaleMetabolic syndromeOxygenOxygen consumptionRisk assessmentRisk factorsSensitivity and specificityCardiorespiratory fitnessExercise field testMetabolic riskShuttle rundifferentialDiagnosisComparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and AdolescentsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ramírez-Vélez R.Correa-Bautista J.E.Mota J.Garcia-Hermoso A.10336/22426oai:repository.urosario.edu.co:10336/224262022-05-02 07:37:14.162105https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
title Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
spellingShingle Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
Glucose
High density lipoprotein cholesterol
Triacylglycerol
Oxygen
Adolescent
Article
Body fat
Cardiometabolic risk
Cardiorespiratory fitness
Child
Colombian
Comparative study
Cross-sectional study
Diastolic blood pressure
Different maximal oxygen uptake\\\
Female
Glucose blood level
Groups by age
High density lipoprotein cholesterol level
High risk population
Human
Low risk population
Major clinical study
Male
Oxygen consumption
Priority journal
Receiver operating characteristic
School child
Sensitivity and specificity
Sex difference
Systolic blood pressure
Triacylglycerol blood level
Waist circumference
Colombia
Differential diagnosis
Exercise test
Metabolic syndrome x
Metabolism
Oxygen consumption
Physiology
Procedures
Risk assessment
Risk factor
Adolescent
Cardiorespiratory fitness
Child
Colombia
Cross-sectional studies
Exercise test
Female
Humans
Male
Metabolic syndrome
Oxygen
Oxygen consumption
Risk assessment
Risk factors
Sensitivity and specificity
Cardiorespiratory fitness
Exercise field test
Metabolic risk
Shuttle run
differential
Diagnosis
title_short Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
title_full Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
title_fullStr Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
title_full_unstemmed Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
title_sort Comparison of Different Maximal Oxygen Uptake Equations to Discriminate the Cardiometabolic Risk in Children and Adolescents
dc.subject.keyword.spa.fl_str_mv Glucose
High density lipoprotein cholesterol
Triacylglycerol
Oxygen
Adolescent
Article
Body fat
Cardiometabolic risk
Cardiorespiratory fitness
Child
Colombian
Comparative study
Cross-sectional study
Diastolic blood pressure
Different maximal oxygen uptake\\\
Female
Glucose blood level
Groups by age
High density lipoprotein cholesterol level
High risk population
Human
Low risk population
Major clinical study
Male
Oxygen consumption
Priority journal
Receiver operating characteristic
School child
Sensitivity and specificity
Sex difference
Systolic blood pressure
Triacylglycerol blood level
Waist circumference
Colombia
Differential diagnosis
Exercise test
Metabolic syndrome x
Metabolism
Oxygen consumption
Physiology
Procedures
Risk assessment
Risk factor
Adolescent
Cardiorespiratory fitness
Child
Colombia
Cross-sectional studies
Exercise test
Female
Humans
Male
Metabolic syndrome
Oxygen
Oxygen consumption
Risk assessment
Risk factors
Sensitivity and specificity
Cardiorespiratory fitness
Exercise field test
Metabolic risk
Shuttle run
topic Glucose
High density lipoprotein cholesterol
Triacylglycerol
Oxygen
Adolescent
Article
Body fat
Cardiometabolic risk
Cardiorespiratory fitness
Child
Colombian
Comparative study
Cross-sectional study
Diastolic blood pressure
Different maximal oxygen uptake\\\
Female
Glucose blood level
Groups by age
High density lipoprotein cholesterol level
High risk population
Human
Low risk population
Major clinical study
Male
Oxygen consumption
Priority journal
Receiver operating characteristic
School child
Sensitivity and specificity
Sex difference
Systolic blood pressure
Triacylglycerol blood level
Waist circumference
Colombia
Differential diagnosis
Exercise test
Metabolic syndrome x
Metabolism
Oxygen consumption
Physiology
Procedures
Risk assessment
Risk factor
Adolescent
Cardiorespiratory fitness
Child
Colombia
Cross-sectional studies
Exercise test
Female
Humans
Male
Metabolic syndrome
Oxygen
Oxygen consumption
Risk assessment
Risk factors
Sensitivity and specificity
Cardiorespiratory fitness
Exercise field test
Metabolic risk
Shuttle run
differential
Diagnosis
dc.subject.keyword.eng.fl_str_mv differential
Diagnosis
description Objective: To determine the ability of 8 different maximal oxygen uptake (VO 2max ) equations to discriminate between low and high cardiometabolic risk, and to determine cardiorespiratory fitness (CRF) cutoffs associated with a more favorable cardiometabolic risk profile in Colombian children and adolescents. Study design: In a cross-sectional study, CRF was estimated using the 20-m shuttle run test in 2870 schoolchildren (54.5% girls) from Bogota, Colombia. We computed a metabolic syndrome score (MetScore) as the sum of the age- and sex-standardized scores of waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure. Results: Linear regression analyses showed that the Barnett et al (b) and Mahar equations were negatively associated with MetScore, showing the highest discriminatory accuracy for identifying the low/high cardiometabolic risk in both sexes and both age groups (9-12 years and 13-17 years). Conclusions: We propose that the Barnett et al (b) equation for boys and girls, VO 2max = 25.8 × (6.6 × G × 0.2 × (body mass + 3.2 × (final speed))), where G is gender (male = 0; female = 1), be used to classify youths at metabolic risk. The CRF cutoffs can serve as a quantitative marker of a healthier cardiovascular profile in Colombian children and adolescents. © 2017 Elsevier Inc.
publishDate 2018
dc.date.created.spa.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:56:27Z
dc.date.available.none.fl_str_mv 2020-05-25T23:56:27Z
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/10.1016/j.jpeds.2017.11.007
dc.identifier.issn.none.fl_str_mv 00223476
10976833
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22426
url https://doi.org/10.1016/j.jpeds.2017.11.007
https://repository.urosario.edu.co/handle/10336/22426
identifier_str_mv 00223476
10976833
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 157.e1
dc.relation.citationStartPage.none.fl_str_mv 152
dc.relation.citationTitle.none.fl_str_mv Journal of Pediatrics
dc.relation.citationVolume.none.fl_str_mv Vol. 194
dc.relation.ispartof.spa.fl_str_mv Journal of Pediatrics, ISSN:00223476, 10976833, Vol.194,(2018); pp. 152-157.e1
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039862104&doi=10.1016%2fj.jpeds.2017.11.007&partnerID=40&md5=5814799ebff329ab743a2e413b189ad1
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 Mosby Inc.
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
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