Narita Target Heart Rate Equation Underestimates the Predicted Adequate Exercise Level in Sedentary Young Boys

Abstract

Purpose: Optimal training intensity and the adequate exercise level for physical fitness is one of the most important interests of coaches and sports physiologists. The aim of this study was to investigate the validity of the Narita et al target heart rate equation for the adequate exercise training level in sedentary young boys.Methods: Forty two sedentary young boys (19.07±1.16 years) undertook a blood lactate transition threshold maximal treadmill test to volitional exhaustion with continuous respiratory gas measurements according to the Craig method. The anaerobic threshold (AT) of the participants then was calculated using the Narita target heart rate equation.Results: Hopkin's spreadsheet to obtain confidence limit and the chance of the true difference between gas measurements and Narita target heart rate equation revealed that the Narita equation most likely underestimates the measured anaerobic threshold in sedentary young boys (168.76±15 vs. 130.08±14.36) (Difference ±90% confidence limit: 38.1±18). Intraclass correlation coefficient (ICC) showed a poor agreement between the criterion method and Narita equation (ICC= 0.03). Conclusion:According to the results, the Narita equation underestimates the measured AT. It seems that the Narita equation is a good predictor of aerobic not AT which can be investigated in the future studies.

Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers

“…All statistical analyses were performed with a customized excel spreadsheet specifically developed to monitor individual changes and trends in a rigorous quantitative way (Hopkins, 2017). Recently, this excel spreadsheet has been adopted to assess individual changes in team sports (Siahkouhian and Khodadadi, 2013; Loturco et al, 2017; Colyer et al, 2018; Hurst et al, 2018) and specifically in basketball (Pliauga et al, 2018). This statistics approach could be used as a possible alternative to previously used methodologies such as the ANOVA factor (Yu et al, 2008) or the Jonckheere–Terpstra test (Leite and Sampaio, 2012).…”

Aplicaciones de Monitoreo de Frecuencia Cardiaca sobre plataformas Open Source: Una revisión sistemática

“…La FC en el sueño puede alcanzar valores inferiores a 60 latidos por minuto. En actividades físicas exigentes es muy variable y depende del sexo de la persona y pude determinarse a través de la siguiente ecuación: [11], [12].…”

“…Por lo tanto, para hombres, S, toma el valor de 0 y para mujeres toma el valor de 1. Esta ecuación fue tomada de [11].…”