Multivariate statistical assessment of predictors of firefighters' muscular and aerobic work capacity

PloS One
Ann-Sofie LindbergChrister Malm

Abstract

Physical capacity has previously been deemed important for firefighters physical work capacity, and aerobic fitness, muscular strength, and muscular endurance are the most frequently investigated parameters of importance. Traditionally, bivariate and multivariate linear regression statistics have been used to study relationships between physical capacities and work capacities among firefighters. An alternative way to handle datasets consisting of numerous correlated variables is to use multivariate projection analyses, such as Orthogonal Projection to Latent Structures. The first aim of the present study was to evaluate the prediction and predictive power of field and laboratory tests, respectively, on firefighters' physical work capacity on selected work tasks. Also, to study if valid predictions could be achieved without anthropometric data. The second aim was to externally validate selected models. The third aim was to validate selected models on firefighters' and on civilians'. A total of 38 (26 men and 12 women) + 90 (38 men and 52 women) subjects were included in the models and the external validation, respectively. The best prediction (R2) and predictive power (Q2) of Stairs, Pulling, Demolition, Terrain, and Rescue work...Continue Reading

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Citations

Feb 28, 2018·Journal of Occupational and Environmental Medicine·Andrew G SiddallJames L J Bilzon
Apr 15, 2020·Journal of Strength and Conditioning Research·Marcie B Fyock-MartinJoel R Martin
Jul 31, 2020·Journal of Occupational and Environmental Medicine·Jonathan M HouckAnn L Gibson
Jun 17, 2021·Sports Medicine International Open·Robert NilssonChrister Malm

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Methods Mentioned

BETA
PCA

Software Mentioned

Q Plot
OPLS
Statistical Package for the Social Sciences ( SPSS )
SIMCA

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