ArticleEXCLI journal2023
Normative data in resting and maximum heart rates and a prediction equation for young Tunisian soccer players: a cross-sectional study.
Article in EXCLI journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Predictive Equation for Peak Heart Rate and First Ventilatory Threshold Heart Rate in Patients With Coronary Heart Disease.Cardiology research and practice · 2026Article
- Effects of a Physical Exercise Program on Young People and Adults with Autism Spectrum Disorder-A Study Protocol.Journal of clinical medicine · 2024Article
- Developing normative values and predictive models for the 6-minute walk test across diverse adolescent developmental stages.European journal of sport science · 2024Article
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9 authors.
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Abstract
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
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