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Accuracy of the VO(2peak) prediction equation in firefighters
BACKGROUND: A leading contributing factor to firefighter injury and death is lack of fitness. Therefore, the Fire Service Joint Labor Management Wellness-Fitness Initiative (WFI) was established that includes a focus on providing fitness assessments to all fire service personnel. The current fitness...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016782/ https://www.ncbi.nlm.nih.gov/pubmed/24860611 http://dx.doi.org/10.1186/1745-6673-9-17 |
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author | Klaren, Rachel E Horn, Gavin P Fernhall, Bo Motl, Robert W |
author_facet | Klaren, Rachel E Horn, Gavin P Fernhall, Bo Motl, Robert W |
author_sort | Klaren, Rachel E |
collection | PubMed |
description | BACKGROUND: A leading contributing factor to firefighter injury and death is lack of fitness. Therefore, the Fire Service Joint Labor Management Wellness-Fitness Initiative (WFI) was established that includes a focus on providing fitness assessments to all fire service personnel. The current fitness assessment includes a submaximal exercise test protocol and associated prediction equation to predict individual VO(2peak) as a measure of fitness. There is limited information on the accuracy, precision, and sources of error of this prediction equation. This study replicated previous research by validating the accuracy of the WFI VO(2peak) prediction equation for a group of firefighters and further examining potential sources of error for an individual firefighters’ assessment. METHODS: The sample consisted of 22 firefighters who completed a maximal exercise test protocol similar to the WFI submaximal protocol, but the test was terminated when firefighters reached a maximal level of exertion (i.e., measured VO(2peak)). We then calculated the predicted VO(2peak) based on the WFI prediction equation along with individual firefighters’ body mass index (BMI) and 85% of maximum heart rate. The data were analyzed using paired samples t-tests in SPSS v. 21.0. RESULTS: The difference between predicted and measured VO(2peak) was -0.77 ± 8.35 mL•kg(-1)•min(-1). However, there was a weak, statistically non-significant association between measured VO(2peak) and predicted VO(2peak) (R(2) = 0.09, F(1,21) = 2.05, p = 0.17). The intraclass correlation coefficient (ICC = 0.215, p > 0.05) and Pearson (r = 0.31, p = 0.17) and Spearman (ρ = 0.28, p = 0.21) correlation coefficients were small. The standard error of the estimate (SEE) was 8.5 mL•kg(-1)•min(-1). Further, both age and baseline fitness level were associated with increased inaccuracy of the prediction equation. CONCLUSIONS: We provide data on the inaccuracy and sources of error for the WFI VO(2peak) prediction equation for predicting fitness level in individual firefighters, despite apparently accurate predictions for a group of firefighters. These results suggest that the WFI prediction equation may need to be reevaluated as a means of precisely determining fitness for individual firefighters, which may affect employment status, duty assignment, and overall life safety of the firefighter. |
format | Online Article Text |
id | pubmed-4016782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40167822014-05-23 Accuracy of the VO(2peak) prediction equation in firefighters Klaren, Rachel E Horn, Gavin P Fernhall, Bo Motl, Robert W J Occup Med Toxicol Research BACKGROUND: A leading contributing factor to firefighter injury and death is lack of fitness. Therefore, the Fire Service Joint Labor Management Wellness-Fitness Initiative (WFI) was established that includes a focus on providing fitness assessments to all fire service personnel. The current fitness assessment includes a submaximal exercise test protocol and associated prediction equation to predict individual VO(2peak) as a measure of fitness. There is limited information on the accuracy, precision, and sources of error of this prediction equation. This study replicated previous research by validating the accuracy of the WFI VO(2peak) prediction equation for a group of firefighters and further examining potential sources of error for an individual firefighters’ assessment. METHODS: The sample consisted of 22 firefighters who completed a maximal exercise test protocol similar to the WFI submaximal protocol, but the test was terminated when firefighters reached a maximal level of exertion (i.e., measured VO(2peak)). We then calculated the predicted VO(2peak) based on the WFI prediction equation along with individual firefighters’ body mass index (BMI) and 85% of maximum heart rate. The data were analyzed using paired samples t-tests in SPSS v. 21.0. RESULTS: The difference between predicted and measured VO(2peak) was -0.77 ± 8.35 mL•kg(-1)•min(-1). However, there was a weak, statistically non-significant association between measured VO(2peak) and predicted VO(2peak) (R(2) = 0.09, F(1,21) = 2.05, p = 0.17). The intraclass correlation coefficient (ICC = 0.215, p > 0.05) and Pearson (r = 0.31, p = 0.17) and Spearman (ρ = 0.28, p = 0.21) correlation coefficients were small. The standard error of the estimate (SEE) was 8.5 mL•kg(-1)•min(-1). Further, both age and baseline fitness level were associated with increased inaccuracy of the prediction equation. CONCLUSIONS: We provide data on the inaccuracy and sources of error for the WFI VO(2peak) prediction equation for predicting fitness level in individual firefighters, despite apparently accurate predictions for a group of firefighters. These results suggest that the WFI prediction equation may need to be reevaluated as a means of precisely determining fitness for individual firefighters, which may affect employment status, duty assignment, and overall life safety of the firefighter. BioMed Central 2014-04-28 /pmc/articles/PMC4016782/ /pubmed/24860611 http://dx.doi.org/10.1186/1745-6673-9-17 Text en Copyright © 2014 Klaren et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Klaren, Rachel E Horn, Gavin P Fernhall, Bo Motl, Robert W Accuracy of the VO(2peak) prediction equation in firefighters |
title | Accuracy of the VO(2peak) prediction equation in firefighters |
title_full | Accuracy of the VO(2peak) prediction equation in firefighters |
title_fullStr | Accuracy of the VO(2peak) prediction equation in firefighters |
title_full_unstemmed | Accuracy of the VO(2peak) prediction equation in firefighters |
title_short | Accuracy of the VO(2peak) prediction equation in firefighters |
title_sort | accuracy of the vo(2peak) prediction equation in firefighters |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016782/ https://www.ncbi.nlm.nih.gov/pubmed/24860611 http://dx.doi.org/10.1186/1745-6673-9-17 |
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