Int J Sports Med 2014; 35(03): 203-208
DOI: 10.1055/s-0033-1345172
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Ventilatory Thresholds Determined from HRV: Comparison of 2 Methods in Obese Adolescents

S. Quinart
1  EA3920, Prognostic Marker and Regulatory Factor of CardioVascular Disease, University of Franche-Comte, Besançon, France
3  Pediatric Obesity Prevention and Rehabilitation Department, CHRU, Besançon, France
,
L. Mourot
2  EA 4660 Culture Sport Health Society and Exercise Performance, Health, Innovation Platform, University of Franche-Comté, Besançon, France
,
V. Nègre
3  Pediatric Obesity Prevention and Rehabilitation Department, CHRU, Besançon, France
,
M.-L. Simon-Rigaud
4  Physiology Functional Explorations, CHRU, Besançon, France
,
M. Nicolet-Guénat
5  SSR La Beline, Childhood Obesity Rehabilitation Centre, Salins-les-Bains, France
,
A.-M. Bertrand
3  Pediatric Obesity Prevention and Rehabilitation Department, CHRU, Besançon, France
,
N. Meneveau
1  EA3920, Prognostic Marker and Regulatory Factor of CardioVascular Disease, University of Franche-Comte, Besançon, France
,
F. Mougin
1  EA3920, Prognostic Marker and Regulatory Factor of CardioVascular Disease, University of Franche-Comte, Besançon, France
› Author Affiliations
Further Information

Publication History



accepted after revision 15 April 2013

Publication Date:
14 August 2013 (eFirst)

Abstract

The development of personalised training programmes is crucial in the management of obesity. We evaluated the ability of 2 heart rate variability analyses to determine ventilatory thresholds (VT) in obese adolescents. 20 adolescents (mean age 14.3±1.6 years and body mass index z-score 4.2±0.1) performed an incremental test to exhaustion before and after a 9-month multidisciplinary management programme. The first (VT1) and second (VT2) ventilatory thresholds were identified by the reference method (gas exchanges). We recorded RR intervals to estimate VT1 and VT2 from heart rate variability using time-domain analysis and time-varying spectral-domain analysis. The coefficient correlations between thresholds were higher with spectral-domain analysis compared to time-domain analysis: Heart rate at VT1: r=0.91 vs. =0.66 and VT2: r=0.91 vs. =0.66; power at VT1: r=0.91 vs. =0.74 and VT2: r=0.93 vs. =0.78; spectral-domain vs. time-domain analysis respectively). No systematic bias in heart rate at VT1 and VT2 with standard deviations <6 bpm were found, confirming that spectral-domain analysis could replace the reference method for the detection of ventilatory thresholds. Furthermore, this technique is sensitive to rehabilitation and re-training, which underlines its utility in clinical practice. This inexpensive and non-invasive tool is promising for prescribing physical activity programs in obese adolescents.