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...
- 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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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 |
_version_ |
1818106992803184640 |