Literature DB >> 21563034

The Dmax is highly related to performance in middle-aged females.

F A Machado1, S M F de Moraes, C S Peserico, P V Mezzaroba, W P Higino.   

Abstract

The present study examined whether the running speed at the lactate threshold estimated by the maximal deviation method (LT (Dmax)) is highly correlated and in agreement with 10-km road race performance (S (10 km)) in middle-aged female runners. Additionally, the LT (Dmax) was compared with the visual detection of the inflection point (LT (Visual)), the fixed lactate level of 4 mmol.L (-1) (LT (4)) and the peak speed (S (peak)) in relation to performance. Sixteen middle-aged, recreational female runners performed a discontinuous, incremental treadmill test. The initial speed was set at 7 km.h (-1), and this speed was increased every 3 min by 1 km.h (-1) with a 30-s rest between the stages used for earlobe capillary blood sample collection. All of the participants took part in the same local 10-km road race, and S (10 km) mean speed was calculated. The speeds (mean ± SD) were 10.5 ± 1.0 (S (10 km)), 10.5 ± 1.0 (LT (Visual)), 10.9 ± 0.9 (LT (Dmax)), 11.4 ± 1.3 (LT (4)) and 13.5 ± 1.1 km.h (-1) (S (peak)). The LT (Dmax) had the narrowest limits of agreement (0.3 ± 0.4 km.h (-1)) and was the most highly correlated with the S (10 km) ( R=0.98), followed by the S (peak) ( R=0.95), LT (4) ( R=0.85) and LT (Visual) ( R=0.81). In conclusion, the LT (Dmax) should be more widely used to estimate long-distance performance and to verify improvements in training. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2011        PMID: 21563034     DOI: 10.1055/s-0031-1275671

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  4 in total

1.  Performance indicators and functional adaptive windows in competitive cyclists: effect of one-year strength and conditioning training programme.

Authors:  Leonardo Cesanelli; Achraf Ammar; Jorge Arede; Julio Calleja-González; Nuno Leite
Journal:  Biol Sport       Date:  2021-04-21       Impact factor: 2.806

2.  Relationship Between Critical Power and Different Lactate Threshold Markers in Recreational Cyclists.

Authors:  Pedro L Valenzuela; Lidia B Alejo; Almudena Montalvo-Pérez; Jaime Gil-Cabrera; Eduardo Talavera; Alejandro Lucia; David Barranco-Gil
Journal:  Front Physiol       Date:  2021-06-09       Impact factor: 4.566

3.  Using lactate threshold to predict 5-km treadmill running performance in veteran athletes.

Authors:  Jacky Forsyth; Dean Burt; Fiona Ridley; Christopher Mann
Journal:  Biol Sport       Date:  2017-02-19       Impact factor: 2.806

4.  Inter-Individual Different Responses to Continuous and Interval Training in Recreational Middle-Aged Women Runners.

Authors:  Jèssica B Bonet; José Magalhães; Ginés Viscor; Teresa Pagès; Josep L Ventura; Joan R Torrella; Casimiro Javierre
Journal:  Front Physiol       Date:  2020-10-22       Impact factor: 4.566

  4 in total

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