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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Daily Overview

Session

WR3_1: Abstract presentations: Inclusive Physical Activity: Creating Equitable Opportunities for Active Living
Location: White room 3
Session Chair: Ina Šuklje Erjavec

Presentation 8

12:26pm - 12:36pm

Predicting heart rate at the respiratory compensation point to guide high-intensity exercise prescription in physically active young adults

Gašper Turnšek¹, Simon Iskra¹, Kristina Drole¹, Armin Paravlić^1,2,3

1: Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia; 2: Science and Research Centre, Koper, Institute for Kinesiology Research, Koper, Slovenia; 3: Faculty of Sport Studies, Incubator of Kinanthropology Research, Masaryk University, Brno, Czech Republic

The respiratory compensation point (RCP) marks the transition to high-intensity exercise and represents a threshold for exercise prescription. The aim of this study was to develop a practical equation to estimate heart rate at RCP in physically active young adults and evaluate its accuracy against guideline-based intensity domains. Methods: A cross-sectional study included 51 apparently healthy young adults aged 20 to 30 years (32 men, 19 women) performing maximal CPET. Heart rate at the RCP was predicted using multivariate linear regression with a forward stepwise approach. Candidate predictors included age, sex, body height, body weight, maximal heart rate, and resting heart rate. External validation compared the equation with guideline-based exercise intensity domains using mean absolute percentage error (MAPE), limits of agreement (LoA), and intraclass correlation coefficients (ICC). Results: Maximal heart rate (HRmax) was the sole significant predictor of heart rate at the RCP (R² = 0.73, p < 0.001). The equation was −13.32 + 0.991 × HRmax. External validation demonstrated greater accuracy than guideline-based %HRmax prescription, with lower prediction error (MAPE = 2.25%), narrower LoA (-11.4 to 10.8 bpm), and excellent reliability (ICC = 0.98). In contrast, guideline-based intensity domains exhibited high error (MAPE = 16.24%), wide LoA (17.7 to 39.2 bpm), and poor reliability (ICC = 0.12). Conclusions: Maximal heart rate strongly predicts heart rate at the RCP in physically active young adults. The proposed equation provides a practical tool to estimate heart rate at RCP and guide high-intensity exercise prescription.