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Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study

Heart rate (HR) is an important indicator of work intensity during physical activity. Maximum heart rate (MHR) is a physiological measure that is frequently used as a benchmark for maximal exercise intensity. The aim of this study was to establish reference curves for maximum heart rate (MHR) and re...

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Autores principales: Ghouili, Hatem, Farhani, Zouhaier, Amara, Sofiane, Hattabi, Soukaina, Dridi, Amel, Guelmami, Noomen, Bouassida, Anissa, Bragazzi, Nicola, Dergaa, Ismail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450209/
https://www.ncbi.nlm.nih.gov/pubmed/37636027
http://dx.doi.org/10.17179/excli2023-6215
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author Ghouili, Hatem
Farhani, Zouhaier
Amara, Sofiane
Hattabi, Soukaina
Dridi, Amel
Guelmami, Noomen
Bouassida, Anissa
Bragazzi, Nicola
Dergaa, Ismail
author_facet Ghouili, Hatem
Farhani, Zouhaier
Amara, Sofiane
Hattabi, Soukaina
Dridi, Amel
Guelmami, Noomen
Bouassida, Anissa
Bragazzi, Nicola
Dergaa, Ismail
author_sort Ghouili, Hatem
collection PubMed
description Heart rate (HR) is an important indicator of work intensity during physical activity. Maximum heart rate (MHR) is a physiological measure that is frequently used as a benchmark for maximal exercise intensity. The aim of this study was to establish reference curves for maximum heart rate (MHR) and resting heart rate (RHR) and to develop an estimated equation for Tunisian adolescent footballers. The study involved 801 adolescent players, aged 11 to 18, who belonged to five Tunisian first-division soccer teams. The LMS method was used for smoothing the curves and the multivariate linear regression to develop a prediction equation of MHR. Our results showed that MHR and RHR reference curves decrease with age. The values of the median curves of MHR and RHR ranged from 208.64 bpm (11 years) to 196.93 (18 years) and 73.86 (11 years) to 63.64 (18 years), respectively. The prediction equation obtained from the model was MHR= 225.08 - 1.55 X Age (years) (R(2 )= 0.317; P < 0.001; standard error of the estimate (SEE) = 5.22). The comparisons between the estimated values and the measured values have found that our model (- 0.004 ±5.22 bpm) was to be more accurate than two other widely known models. BOX's equation underestimates the measured MHR values by -3.17 ± 5.37 bpm and TANAKA's equation overestimates by + 4.33 ±5.5 bpm. The reference curves can be used by coaches and physical trainers to classify the resting heart rate (RHR) and maximum heart rate (MHR) of each adolescent player, track their evolution over time, and design tailored training programs with specific intensities for Tunisian soccer players.
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spelling pubmed-104502092023-08-26 Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study Ghouili, Hatem Farhani, Zouhaier Amara, Sofiane Hattabi, Soukaina Dridi, Amel Guelmami, Noomen Bouassida, Anissa Bragazzi, Nicola Dergaa, Ismail EXCLI J Original Article Heart rate (HR) is an important indicator of work intensity during physical activity. Maximum heart rate (MHR) is a physiological measure that is frequently used as a benchmark for maximal exercise intensity. The aim of this study was to establish reference curves for maximum heart rate (MHR) and resting heart rate (RHR) and to develop an estimated equation for Tunisian adolescent footballers. The study involved 801 adolescent players, aged 11 to 18, who belonged to five Tunisian first-division soccer teams. The LMS method was used for smoothing the curves and the multivariate linear regression to develop a prediction equation of MHR. Our results showed that MHR and RHR reference curves decrease with age. The values of the median curves of MHR and RHR ranged from 208.64 bpm (11 years) to 196.93 (18 years) and 73.86 (11 years) to 63.64 (18 years), respectively. The prediction equation obtained from the model was MHR= 225.08 - 1.55 X Age (years) (R(2 )= 0.317; P < 0.001; standard error of the estimate (SEE) = 5.22). The comparisons between the estimated values and the measured values have found that our model (- 0.004 ±5.22 bpm) was to be more accurate than two other widely known models. BOX's equation underestimates the measured MHR values by -3.17 ± 5.37 bpm and TANAKA's equation overestimates by + 4.33 ±5.5 bpm. The reference curves can be used by coaches and physical trainers to classify the resting heart rate (RHR) and maximum heart rate (MHR) of each adolescent player, track their evolution over time, and design tailored training programs with specific intensities for Tunisian soccer players. Leibniz Research Centre for Working Environment and Human Factors 2023-07-17 /pmc/articles/PMC10450209/ /pubmed/37636027 http://dx.doi.org/10.17179/excli2023-6215 Text en Copyright © 2023 Ghouili et al. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) You are free to copy, distribute and transmit the work, provided the original author and source are credited.
spellingShingle Original Article
Ghouili, Hatem
Farhani, Zouhaier
Amara, Sofiane
Hattabi, Soukaina
Dridi, Amel
Guelmami, Noomen
Bouassida, Anissa
Bragazzi, Nicola
Dergaa, Ismail
Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title_full Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title_fullStr Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title_full_unstemmed Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title_short Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study
title_sort normative data in resting and maximum heart rates and a prediction equation for young tunisian soccer players: a cross-sectional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450209/
https://www.ncbi.nlm.nih.gov/pubmed/37636027
http://dx.doi.org/10.17179/excli2023-6215
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