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Effect of individual characteristics and aerobic training on the %HRR-% V̇ O 2 R relationship.

Carlo Ferri MariniDavide SistiJames S SkinnerMark A SarzynskiClaude BouchardStefano AmatoriMarco Bruno Luigi RocchiGiovanni PiccoliVilberto StocchiArio FedericiFrancesco Lucertini
Published in: European journal of sport science (2022)
This study aimed to assess if, during incremental exercise, considering individual characteristics can make the relationship between the percentages of heart rate (HRR) and oxygen uptake ( V̇ O 2 R) reserve either 1:1 or more accurate. Cycle ergometer data of the maximal incremental exercise tests performed by 450 healthy and sedentary participants (17-66 years) of the HERITAGE Family Study, grouped for sex, ethnicity, age, body fat, resting HR, and V̇ O 2max , were used to calculate the individual linear regressions between %HRR and % V̇ O 2 R. The mean slope and intercept of the individual linear regressions of each subgroup were compared with 1 and 0 (identity line), respectively, using Hotelling tests followed by post-hoc one-sample t -tests. Two multiple linear regressions were also performed, using either the slopes or intercepts of the individual linear regressions as dependent variables and sex, age, resting HR, and V̇ O 2max as independent variables. The mean %HRR-% V̇ O 2 R relationships of all subgroups differed from the identity line. Moreover, individual linear regression intercepts (8.9 ± 16.0) and slopes (0.971 ± 0.190) changed ( p  < 0.001) after 20 weeks of aerobic training (13.1 ± 11.1 and 0.891 ± 0.122). The multiple linear regressions could explain only 3.8% and 1.3% of the variance in the intercepts and slopes, whose variability remained high (standard error of estimate of 15.8 and 0.189). In conclusion, the %HRR-% V̇ O 2 R relationship differs from the identity line regardless of individual characteristics and their difference increased after aerobic training. Moreover, due to the high interindividual variability, using a single equation for the whole population seems not suitable for representing the %HRR-% V̇ O 2 R relationship of a given subject, even when several individual characteristics are considered. HighlightsThe association between %HRR and % V̇ O 2 R is not 1:1 even when individuals are grouped by age, sex, ethnicity, body composition, HR rest , and V̇ O 2max .Using several subject characteristics to identify the individual's %HRR-% V̇ O 2 R relationship does not meaningfully increase its prediction accuracy or reduce the interindividual variability of %HRR-% V̇ O 2 R relationshipsUsing a single equation for the whole population is not suitable for representing the relationship of a given subject; hence, individual relationships should be preferred when prescribing the intensity of aerobic exercise.The individual %HRR-% V̇ O 2 R relationship should be periodically assessed due to the potential training induced changes in the relationship.
Keyphrases
  • heart rate
  • body composition
  • high intensity
  • heart rate variability
  • resistance training
  • blood pressure
  • clinical trial
  • primary care
  • deep learning
  • high resolution
  • phase iii
  • finite element