Prediction Equations for Maximal Aerobic Capacity on Cycle Ergometer for the Spanish Adult Population
Arch Bronconeumol (Engl Ed). 2020 Oct 10:S0300-2896(20)30375-6.
doi: 10.1016/j.arbres.2020.09.014.
Online ahead of print.
[Article in
English,
Spanish]
Authors
Luis Puente-Maestú
1
, Francisco Ortega
2
, Julia Garcia de Pedro
3
, María Jesús Rodríguez-Nieto
4
, Julio Gómez-Seco
5
, Batxi Gáldiz
6
, Iñigo Ojanguren
7
, Xavier Muñoz
8
, Isabel Blanco
9
, Felip Burgos
10
, Diego A Rodríguez-Chiaradía
11
, Joaquim Gea
11
, Francisco García-Rio
12
Affiliations
- 1 Servicio de Neumología Hospital General Universitario Gregorio Marañón-Facultad de Medicina: Universidad Complutense de Madrid (UCM), Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain. Electronic address: lpuente@separ.es.
- 2 Unidad Médico-Quirúrgica de Enfermedades Respiratorias, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/Universidad de Sevilla, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.
- 3 Servicio de Neumología Hospital General Universitario Gregorio Marañón-Facultad de Medicina: Universidad Complutense de Madrid (UCM), Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
- 4 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Department of Pulmonary Medicine, IIS-Fundación Jiménez Diaz, Autónoma University Madrid, Madrid, Spain.
- 5 King's College Hospital London-Dubai, Spain.
- 6 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Department of Pulmonary Medicine, Cruces Universitary Hospital, Barakaldo, Vizcaya, Spain; Biocruces Bizkaia Health Research Institute, Barakaldo, Vizcaya, Spain.
- 7 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Neumología, Departamento de Medicina, Hospital Universitario Vall d'Hebron, Universidad Autónoma de Barcelona, Cataluña, Spain.
- 8 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Neumología, Departamento de Medicina, Hospital Universitario Vall d'Hebron, Universidad Autónoma de Barcelona, Cataluña, Spain; Servicio Neumologia Hospital Vall d'Hebron, Barcelona, Spain; Ciber de Enfermedades respiratorias CIBERes, Barcelona, Spain; Departamento de Biología Celular, Fisiología e Inmunología Univertsidad Autónoma de Barcelona, Cataluña, Spain.
- 9 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Department of Pulmonary Medicine, Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
- 10 University of Barcelona Respiratory Diagnostic Center Hospital Clínic, Barcelona, Spain.
- 11 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Neumología, Hospital del Mar-Universitat Pompeu Fabra (UPF), Barcelona, Spain; Institut Hospital del Mar d'Investigacions Mediques (IMIM), CIBERES (ISCIII), Barcelona, Spain.
- 12 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), (Biomedical Research Networking Center on Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Servicio de Neumología, Hospital Universitario La Paz-IdiPAZ-Departamento de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
Abstract
Background:
Frequently used reference values for clinical exercise testing have been derived from non-random samples and some with poorly defined maximal criteria. Our objective was to obtain population based reference values for peak oxygen uptake (V˙O2) and work rate (WR) for cardiopulmonary exercise testing in a representative sample of Caucasian Spanish men and women.
Methods:
182 men and women, 20-85 years old, were included and exercised on cycle-ergometer to exhaustion. (V˙O2) and WR were measured. The equations obtained from this sample were validated in an independent cohort of 69 individuals, randomly sampled form the same population. Then a final equation merging the two cohorts (=251) was produced.
Results:
Height, sex and age resulted predictive of both V˙O2 peak and WR. Weight and physical activity added very little to the accuracy to the equations. The formulas V˙O2peak=0.017⋅height(cm)-0.023⋅age(years)+0.864⋅sex(female=0/male=1)±179lmin-1, and peak WR=1.345 · height (cm) - 2.074 · age (years)+76.54 · sex (female=0/male=1)±21.2W were the best compromise between accuracy and parsimony.
Conclusions:
This study provides new and accurate V˙O2 peak and WR rate reference values for individuals of European Spanish descent.
Keywords:
Aptitud física; Bicycle ergometry test; Cardiopulmonary exercise test; Carga de trabajo máxima; Cicloergómetro; Consumo máximo de oxígeno; Cycle-ergometer; Maximal WR; Maximal oxygen consumption; Physical fitness; Prueba de ergometría en bicicleta; Pruebas de ejercicio cardiopulmonar.
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