Comparison of a Mathematical Model to Predict 10-km Performance From the Conconi Test and Ventilatory Threshold Measurements

Abstract

The purpose of this study was to validate a mathematical model (MM) that evaluates the Conconi test and predicts 10-km race time. In addition, the relationship between ventilatory threshold (Tvent) determined from a laboratory test and heart rate deflection (HRd) from the Conconi test were examined. Seventeen trained runners performed the Conconi test, and performance times were predicted using a MM based on a logistics function. A correlational analysis indicated a highly significant relationship (r = .98, p < .01) between MM predicted time and actual time. Significant relationships were found between velocity at Tvent and HRd (r = .95, p < .01), and predicted times from each method (r = .96, p < .01). Heart rates from Tvent and HRd were also related (r = .79, p < .01). These results suggest that a MM of the Conconi test is a valid method of predicting 10-km performance and is closely related to traditional laboratory measures.

Identification of a JOURNAL/jscr/04.03/00124278-200807000-00013/OV0312_4/v/2021-02-09T093601Z/r/image-png o2 Deflection Point Coinciding With the Heart Rate Deflection Point and Ventilatory Threshold in Cycling

“…An analogous association of _ Vo 2 def and lactate threshold was demonstrated by Bickham et al (5) in runners. Several studies have established that HRdef is also associated with the activation of the anaerobic mechanisms (8,9,13,14,23,38). Only in the study by Carey (12) was this association not demonstrated.…”

Independência temporal das respostas do esforço percebido e da freqüência cardíaca em relação à velocidade de corrida na simulação de uma prova de 10km

“…The increase of the maximum HR and the maximum cardiac debt itself identified in exercise under hyperoxia, and the inverse response, under laboratory induced-hyperoxia, is an evidence for this hypothesis. On the other hand, the increase of the HR during physical exercise has been commonly attributed to the increase of the metabolic demand imposed by the task's intensity (6)(7) . However, during the 10 km, the HR had its first significant increase only from the seventh lap (approximately 12 minutes) and remained high until the end of the test, while the highest υ _ was detected in the beginning of the run, followed by an expressive reduction in the simulation According to Achten and Jeukendrup (5) , the HR response during the physical exercise can also be influenced by various extrinsic factors, among them, the environmental temperature and the hydration of the individuals.…”

“…Moreover, it is believed that independently of the aptitude level of the individuals, the heart rate (HR) is the main responsible for the increase of the cardiac debt in the intensities between 60% and 70% of the maximum oxygen consumption (4) . Therefore, the results of some studies pointed to the possibility of the use of the monitoring of the HR to represent the physiological demand in tasks predominantly aerobic (5)(6)(7) . Besides the HR, the scale of perceived exertion (PE) presented by Borg (8) has also been widely used in the control (9)(10) and in the indirect determination of fulfillment of continuous cycle tasks (11) and intermittent (12) with aerobic predominance.…”

Caracterização da curva da frequência cardíaca durante teste incremental máximo em esteira. DOI: 10.5007/1980-0037.2011v13n4p285

“…Foi identificado um aumento não linear da relação FC/CTC, com a presença de um ponto de deflexão da FC (PDFC), posteriormente, associado ao segundo limiar de lactato 5 . Por apresentar um baixo custo e não requerer técnicas invasivas 6,7 , o PDFC, frequentemente identificado de forma visual, passou a ser amplamente utilizado por técnicos e treinadores para estimativa do segundo limiar de transição metabólica 8 . Evidências também foram descritas quando analisada a porção inferior da curva FC/CTC 9,10 .…”