PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 9, 2017Asian Journal of Sports Medicine20 citationsOpen Access

Determination of Lactate Thresholds in Maximal Running Test by Heart Rate Variability Data Set

View Full Paper
ENEduardo Marcel Fernandes NascimentoMKMaria Augusta Pedutti Dal Molin KissTSTony Meireles Santos

Key Result

Heart rate variability reliably estimated the first (11.6 vs 11.9 km/h) and second (14.2 vs 14.2 km/h) lactate thresholds during a maximal running test, with no differences from blood lactate methods.

Study Design

Type

Observational (n=19)

Structured PICO

Does heart rate variability accurately estimate first and second lactate thresholds compared to blood lactate concentrations during a maximal running test in male runners?

P
Population
19 male runners, mean age 30.4 years
I
Intervention
Heart rate variability (HRV) threshold determination during progressive maximal treadmill test
C
Comparator
Blood lactate concentration thresholds (fixed at 2.0 and 3.5 mmol.L-1, and Dmax method)
O
Outcome
First and second physiological thresholds (LT1 and LT2) measured in km.h-1surrogate

Heart rate variability provides a reliable and practical non-invasive estimation of first and second lactate thresholds during maximal running tests.

Abstract

Background: Heart rate variability (HRV) data set has been used to identify HRV thresholds during exercise. However, the relationship between HRV thresholds and the first (LT1) and second lactate threshold (LT2), has been poorly investigated during maximal running test. In this regard, HRV may act as a useful, less expensive and time consuming method to estimate physiological thresholds. Objectives: The aim of the present study was to verify the validity and reproducibility of the heart rate variability (HRV) method to determine first and second lactate thresholds during a maximal running test. Methods: Nineteen male runners (30.4 ± 4.1 years; body mass of 74.3 ± 8.5 kg; height of 176 ± 6.4 cm and body fat of 13.8 ± 4.6 %) performed two progressive maximal tests on a treadmill, with initial speed at 5 km.h-1 and 1 km.h-1 increments every 3 minutes, until exhaustion. Measures of HRV and blood lactate concentrations were obtained during the tests and physiological thresholds were identified as lactate thresholds by using fixed concentrations (2.0 and 3.5 mmol.L-1) and Dmax method, as well as HRV thresholds. Results: There were no differences between the first physiological thresholds identified as lactate (2.0 mmol.L-1 = 11.9 ± 2.9 km.h-1 and Dmax = 12.3 ± 1.5 km.h-1) or HRV threshold (11.6 ± 1.6 km.h-1). Accordingly, there were no differences between the second physiological thresholds identified as lactate threshold (3.5 mmol.L-1 = 14.2 ± 2.6 km.h-1) or HRV threshold (14.2 ± 2.0 km.h-1). Furthermore, HRV thresholds showed good agreement between test and retest. Conclusions: Physiological thresholds identified by using HVR data set provided reliable and practical estimation of LT1 and LT2 during a maximal running test.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nascimento et al. (2017) conducted an observational in Healthy male runners (n=19). Heart rate variability (HRV) thresholds vs. Blood lactate thresholds was evaluated on First and second physiological thresholds (LT1 and LT2). Heart rate variability reliably estimated the first (11.6 vs 11.9 km/h) and second (14.2 vs 14.2 km/h) lactate thresholds during a maximal running test, with no differences from blood lactate methods.

synapsesocial.com/papers/6a17513295fbca339c8d8889https://doi.org/10.5812/asjsm.58480
Ask AI
Helpful
Bookmark
Share
View Full Paper