Key result
Heart-rate-based models explain ~65% of VLT variance, performing comparably to directly measured thresholds.
Why the study?
Previous studies of velocity lactate threshold focused mostly on well-trained athletes, leaving a need for valid, simple, and economical prediction methods for general adults.
Can heart-rate-based prediction models accurately estimate velocity at lactate threshold in ordinary Chinese adults?
Cross-Sectional (n=84)
Can heart-rate-based prediction models accurately estimate velocity at lactate threshold in ordinary Chinese adults?
Effect estimate: 47%-65% of variance explained
Heart-rate-based prediction models can validly and economically estimate velocity at lactate threshold in the general adult population, facilitating easier exercise intensity assessment.
Models may enable noninvasive VLT estimation in Chinese adults; leaves open external validation before routine clinical use.
BACKGROUND: Velocity lactate threshold (VLT) is commonly used as a standard for exercise intensity, although previous studies of VLT have focused mostly on well-trained athletes. Heart rate (HR) is an important physiological index which is easy to measure, the heart rate-workload relationship curve is the reported coincidence with lactate threshold (LT). This study aimed to develop valid, simple and economical velocity at lactate threshold prediction methods for general Chinese adults. METHODS: Eighty-four Chinese adults (49 males and 35 females aged 27.1 ± 8.3 years) were recruited to perform a graded exercise test on a treadmill. A 20-s rest time for the blood sample collection was set between each 3-min successive stage. Blood lactate concentration and heart rate (HR) were determined using a blood lactate analyser and HR monitors. Multiple linear regressions were applied to develop VLT prediction models using velocity at different HR levels, genders, BMI and ages as dependent variables. RESULTS: Eight VLT prediction models were established, in which 47%-65% of variance of VLT could be explained. The results of the paired t-tests showed no significant difference can be observed between estimated and measured VLTs. CONCLUSION: In conclusion, simple and convenient VLT prediction models were established, and the models are valid in predicting VLT for general population.
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Shen et al. (2019) conducted a cross-sectional in Ordinary adults (n=84). Heart rate, gender, BMI, and age was evaluated on Velocity at lactate threshold (VLT) (47%-65% of variance explained). Heart-rate-based prediction models explained 47%-65% of the variance in velocity at lactate threshold among general Chinese adults, with no significant difference from measured VLTs.
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