Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners than Laboratory Test
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Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners than Laboratory TestAutor(es)
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2019-11-05Cita bibliográfica
Alvero-Cruz JR, Carnero EA, Giráldez García MA, Alacid F, Rosemann T, Nikolaidis PT and Knechtle B (2019) Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners Than Laboratory Tests. Front. Physiol. 10:1349. doi: 10.3389/fphys.2019.01349
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Resumo
[Abstract]: This study compared the ability to predict performance in half-marathon races through physiological variables obtained in a laboratory test and performance variables obtained in the Cooper field test. Twenty-three participants (age: 41.6 7.6 years, weight:
70.4 8.1 kg, and height: 172.5 6.3 cm) underwent body composition assessment
and performed a maximum incremental graded exercise laboratory test to evaluate
maximum aerobic power and associated cardiorespiratory and metabolic variables.
Cooper’s original protocol was performed on an athletic track and the variables recorded
were covered distance, rating of perceived exertion, and maximum heart rate. The
week following the Cooper test, all participants completed a half-marathon race at
the maximum possible speed. The associations between the laboratory and field tests
and the final time of the test were used to select the predictive variables included in
a stepwise multiple regression analysis, which used the race time in the half marathon
as the dependent variable and the laboratory variables or field tests as independent
variables. Subsequently, a concordance analysis was carried out between the estimated
and actual times through the Bland-Altman procedure. Significant correlations were
found between the time in the half marathon and the distance in the Cooper test
(r = -0.93; p < 0.001), body weight (r = 0.40; p < 0.04), velocity at ventilatory
threshold 1, (r = -0.72; p < 0.0001), speed reached at maximum oxygen consumption
(vVO2max), (r = -0.84; p < 0.0001), oxygen consumption at ventilatory threshold 2
(VO2VT2) (r = -0.79; p < 0.0001), and VO2max (r = -0.64; p < 0.05). The distance
covered in the Cooper test was the best predictor of time in the half-marathon, and
might predicted by the equation: Race time (min) = 201.26 – 0.03433 (Cooper test
in m) (R2 = 0.873, SEE: 3.78 min). In the laboratory model, vVO2max, and body
weight presented an R2 = 0.77, SEE 5.28 min. predicted by equation: Race time
(min) = 156.7177 – 4.7194 (vVO2max) – 0.3435 (Weight). Concordance analysis showed
no differences between the times predicted in the models the and actual times. The data indicated a high predictive power of half marathon race time both from the distance in
the Cooper test and vVO2max in the laboratory. However, the variable associated with
the Cooper test had better predictive ability than the treadmill test variables. Finally, it is
important to note that these data may only be extrapolated to recreational male runners.
Palabras chave
Prediction equations
Comparison performance methods
Long-distance runners
Field test
Laboratory test
Ecuaciones de predicción
Métodos de comparación de rendimiento
Corredores de larga distancia
Prueba de campo
Prueba de laboratorio
Comparison performance methods
Long-distance runners
Field test
Laboratory test
Ecuaciones de predicción
Métodos de comparación de rendimiento
Corredores de larga distancia
Prueba de campo
Prueba de laboratorio
Versión do editor
Dereitos
Atribución 3.0 España
ISSN
1664042X