An evaluation of the association between anthropometric measurements and cardiorespiratory fitness using the forest service step and the Ruffier-Dickson Test

González-García, Ivan and McCarthy, H.D. (2022) An evaluation of the association between anthropometric measurements and cardiorespiratory fitness using the forest service step and the Ruffier-Dickson Test. Medicina dello Sport, 75 (3). pp. 391-403. ISSN 1827-1863 (In Press)

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Abstract / Description

BACKGROUND: Cardiorespiratory fitness (CRF) is an important component of general fitness and is quantified in terms of maximum oxygen consumption (VO2max). The aims of this study were to determine the association between anthropometric measurements and VO2max using the Forest Service Step (FSS) test and the Ruffier-Dickson test and to develop a model to assess the VO2max from the FSS test.
METHODS: A cross-sectional correlation study in which the participants performed both the FSS and the Ruffier-Dickson Test was conducted using data previously collected. The sample was composed of 67 healthy participants aged between 19 and 39 years.
RESULTS: The VO2max values for these participants ranged between 35.15 and 67.32 mL∙min-1∙kg-1. Linear regression analysis showed a correlation (P<0.01) between measured VO2max (L∙min-1) and height (m), weight (kg), waist (cm) and BMI (kg/m²). The multiple linear regression analysis generated the following equation to predict VO2max (L∙min-1) from the FSS Test: 3.937 + 0.045(Weight) – 0.103(HR Post FSS) – 0.406(Sex). The adjusted R² for the model was 0.845 with an excellent agreement between the model and the classification of CRF according to the American Heart Association (ICC=0.958).
CONCLUSIONS: The FSS test can be used to estimate the CRF reliably and economically.

Item Type: Article
Uncontrolled Keywords: Cardiorespiratory fitness; Exercise test; Physical examination
Subjects: 600 Technology > 610 Medicine & health
Department: School of Human Sciences
Depositing User: Huw David Mccarthy
Date Deposited: 02 Dec 2022 09:15
Last Modified: 02 Dec 2022 09:15
URI: https://repository.londonmet.ac.uk/id/eprint/8023

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