Prediction of Relevant Training Control Parameters at Individual Anaerobic Threshold without Blood Lactate Measurement.
blood lactate
individual anaerobic threshold
performance diagnostics
training recommendation
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
06 03 2023
06 03 2023
Historique:
received:
30
01
2023
revised:
24
02
2023
accepted:
28
02
2023
entrez:
11
3
2023
pubmed:
12
3
2023
medline:
15
3
2023
Statut:
epublish
Résumé
Active exercise therapy plays an essential role in tackling the global burden of obesity. Optimizing recommendations in individual training therapy requires that the essential parameters heart rate HR(IAT) and work load (W/kg(IAT) at individual anaerobic threshold (IAT) are known. Performance diagnostics with blood lactate is one of the most established methods for these kinds of diagnostics, yet it is also time consuming and expensive. To establish a regression model which allows HR(IAT) and (W/kg(IAT) to be predicted without measuring blood lactate, a total of 1234 performance protocols with blood lactate in cycle ergometry were analyzed. Multiple linear regression analyses were performed to predict the essential parameters (HR(IAT)) (W/kg(IAT)) by using routine parameters for ergometry without blood lactate. HR(IAT) can be predicted with an RMSE of 8.77 bpm ( It is possible to predict essential parameters for training management without measuring blood lactate. This model can easily be used in preventive medicine and results in an inexpensive yet better training management of the general population, which is essential for public health.
Sections du résumé
BACKGROUND
Active exercise therapy plays an essential role in tackling the global burden of obesity. Optimizing recommendations in individual training therapy requires that the essential parameters heart rate HR(IAT) and work load (W/kg(IAT) at individual anaerobic threshold (IAT) are known. Performance diagnostics with blood lactate is one of the most established methods for these kinds of diagnostics, yet it is also time consuming and expensive.
METHODS
To establish a regression model which allows HR(IAT) and (W/kg(IAT) to be predicted without measuring blood lactate, a total of 1234 performance protocols with blood lactate in cycle ergometry were analyzed. Multiple linear regression analyses were performed to predict the essential parameters (HR(IAT)) (W/kg(IAT)) by using routine parameters for ergometry without blood lactate.
RESULTS
HR(IAT) can be predicted with an RMSE of 8.77 bpm (
CONCLUSIONS
It is possible to predict essential parameters for training management without measuring blood lactate. This model can easily be used in preventive medicine and results in an inexpensive yet better training management of the general population, which is essential for public health.
Identifiants
pubmed: 36901647
pii: ijerph20054641
doi: 10.3390/ijerph20054641
pmc: PMC10001845
pii:
doi:
Substances chimiques
Lactic Acid
33X04XA5AT
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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