A D Flouris1, G S Metsios, Y Koutedakis. 1. Faculty of Applied Health Sciences, Brock University, St Catherines, Ontario, Canada L2S 3AI.
Abstract
OBJECTIVE: Maximal oxygen uptake (Vo(2max)) of 44 ml kg(-1) min(-1) is an accepted criterion (Vo(2CR)) below which health and fitness for young male adults may be compromised. New algorithms validated for Vo(2CR) screening using the 20 m multistage shuttle run test (20mMST) were developed. METHODS: Vo(2max) was assessed in 110 males using a stationary gas analyser in a treadmill test (TT) and in 40 of these subjects using a portable gas analyser in the 20mMST. Vo(2max) predicted from the 20mMST in 70 subjects was used for cross validation. Two equations predicting Vo(2max) during 20mMST (EQ(MST)) and TT (EQ(TT)) were developed. RESULTS: Significant energy cost variance (EC(V)) was detected between TT and 20mMST (p<0.001), correlated significantly with subject height, and was a significant predictor of Vo(2max) differences between TT and 20mMST. The r(2) of EQ(MST) was 0.92 (p<0.001). Predicted Vo(2max) values from EQ(MST) correlated with directly measured 20mMST Vo(2max) at r = 0.96 (p<0.001). ANOVA detected no mean difference (p>0.05) between predicted and measured values. Prevalence of low fitness based on Vo(2CR) was 0.37. McNemar chi(2) indicated significant differences in sensitivity (p<0.001) and specificity (p<0.05) between the original 20mMST equation (EQ(LEG)) and EQ(TT), regarding Vo(2CR) screening. Cohen's kappa demonstrated higher agreement with TT Vo(2max) for EQ(TT) (p<0.001) than EQ(LEG) (p<0.05). TT Vo(2max) correlated with the end result of both EQ(LEG) and EQ(TT) at r = 0.75 (p<0.001). Unlike EQ(TT) (p>0.05), mean predicted Vo(2max) from EQ(LEG) was significantly higher compared to TT Vo(2max) (p<0.001). CONCLUSION: These algorithms increase the efficacy of 20mMST to accurately evaluate aspects of health and fitness.
OBJECTIVE: Maximal oxygen uptake (Vo(2max)) of 44 ml kg(-1) min(-1) is an accepted criterion (Vo(2CR)) below which health and fitness for young male adults may be compromised. New algorithms validated for Vo(2CR) screening using the 20 m multistage shuttle run test (20mMST) were developed. METHODS: Vo(2max) was assessed in 110 males using a stationary gas analyser in a treadmill test (TT) and in 40 of these subjects using a portable gas analyser in the 20mMST. Vo(2max) predicted from the 20mMST in 70 subjects was used for cross validation. Two equations predicting Vo(2max) during 20mMST (EQ(MST)) and TT (EQ(TT)) were developed. RESULTS: Significant energy cost variance (EC(V)) was detected between TT and 20mMST (p<0.001), correlated significantly with subject height, and was a significant predictor of Vo(2max) differences between TT and 20mMST. The r(2) of EQ(MST) was 0.92 (p<0.001). Predicted Vo(2max) values from EQ(MST) correlated with directly measured 20mMST Vo(2max) at r = 0.96 (p<0.001). ANOVA detected no mean difference (p>0.05) between predicted and measured values. Prevalence of low fitness based on Vo(2CR) was 0.37. McNemar chi(2) indicated significant differences in sensitivity (p<0.001) and specificity (p<0.05) between the original 20mMST equation (EQ(LEG)) and EQ(TT), regarding Vo(2CR) screening. Cohen's kappa demonstrated higher agreement with TT Vo(2max) for EQ(TT) (p<0.001) than EQ(LEG) (p<0.05). TT Vo(2max) correlated with the end result of both EQ(LEG) and EQ(TT) at r = 0.75 (p<0.001). Unlike EQ(TT) (p>0.05), mean predicted Vo(2max) from EQ(LEG) was significantly higher compared to TT Vo(2max) (p<0.001). CONCLUSION: These algorithms increase the efficacy of 20mMST to accurately evaluate aspects of health and fitness.
Authors: Guy De Backer; Ettore Ambrosioni; Knut Borch-Johnsen; Carlos Brotons; Renata Cifkova; Jean Dallongeville; Shah Ebrahim; Ole Faergeman; Ian Graham; Giuseppe Mancia; Volkert Manger Cats; Kristina Orth-Gomér; Joep Perk; Kalevi Pyörälä; José L Rodicio; Susana Sans; Vedat Sansoy; Udo Sechtem; Sigmund Silber; Troels Thomsen; David Wood Journal: Eur Heart J Date: 2003-09 Impact factor: 29.983
Authors: Eugene Mutimura; Aimee Stewart; Nigel J Crowther; Kevin E Yarasheski; W Todd Cade Journal: Qual Life Res Date: 2008-03-05 Impact factor: 4.147
Authors: Xavier Melo; Helena Santa-Clara; José Pedro Almeida; Elvis Alvarez Carnero; Luís Bettencourt Sardinha; Paula Marta Bruno; Bo Fernhall Journal: Eur J Appl Physiol Date: 2010-11-10 Impact factor: 3.078
Authors: Eugene Mutimura; Nigel J Crowther; Todd W Cade; Kevin E Yarasheski; Aimee Stewart Journal: AIDS Res Hum Retroviruses Date: 2008-01 Impact factor: 2.205
Authors: Maria Misailidi; Manolis N Tzatzarakis; Mathaios P Kavvalakis; Yiannis Koutedakis; Aristidis M Tsatsakis; Andreas D Flouris Journal: PLoS One Date: 2014-01-21 Impact factor: 3.240