Measuring cardiorespiratory fitness without exercise testing: The development and validation of a new tool for spanish adults

Schröder, Helmut, 1958-; Subirana Cachinero, Isaac; Elosua Llanos, Roberto; Camps-Vilaró, Anna; Tizón-Marcos, Helena; Fitó Colomer, Montserrat; Gómez, Santiago Felipe; Dégano, Irene R.; Marrugat, Jaume, 1954-

doi:http://dx.doi.org/10.3390/jcm13082210

Measuring cardiorespiratory fitness without exercise testing: The development and validation of a new tool for spanish adults

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Schröder H, Subirana I, Elosua R, Camps-Vilaró A, Tizón-Marcos H, Fitó M, et al. Measuring cardiorespiratory fitness without exercise testing: The development and validation of a new tool for spanish adults. J Clin Med. 2024 Apr 11;13(8):2210. DOI: 10.3390/jcm13082210

Abstract

Background: Cardiorespiratory fitness (CRF) is an important component of overall physical fitness and is associated with numerous health benefits, including a reduced risk of heart disease, diabetes, and obesity. However, direct measurement of CRF is time-consuming and therefore not feasible for screening purposes. Methods: A maximal treadmill exercise test with the Bruce protocol was performed to estimate VO2max in 1047 Spanish men and women aged 17 to 62 years. Weight, height, and heart rate were measured. Leisure-time physical activity (LTPA) was recorded using the Minnesota Leisure Time Physical Activity Questionnaire. A multiple linear regression model was developed to predict exercise-based VO2max. The validity of the model was examined by correlation, concordance, Bland-Altman analysis, cross-validation, and construct validity analysis. Results: There was no significant difference between VO2max obtained by the Bruce protocol (43.56 mL/kg/min) or predicted by the equation (43.59 mL/kg/min), with R2 of 0.57, and a standard error of the estimate of 7.59 mL/kg/min. Pearson's product-moment correlation and Lin's concordance correlation between measured and predicted CRF values were 0.75 and 0.72, respectively. Bland-Altman analysis revealed a significant proportional bias of non-exercise eCRF, overestimating unfit and underestimating highly fit individuals. However, 64.3% of participants were correctly classified into CRF tertile categories, with an important 69.9% in the unfit category. Conclusions: The eCRF equation was associated with several cardiovascular risk factors in the anticipated directions, indicating good construct validity. In conclusion, the non-exercise eCRF showed a reasonable validity to estimate true VO2max, and it may be a useful tool for screening CRF.