Abstract
The lactate concentration significantly increases during exercise destabilizing the cellular acid-base balance. In this study, we examined the relationship between alkaline water usage and muscle fatigue recovery measured as the change in lactate concentration. Thirty healthy subjects were asked to pedal on a cycle ergometer for 25 min at a constant pace. At the end of the physical exercise, each subject was asked to drink, in one hour, either one liter of water with a pH equal to 6.9 (control) or one liter of alkaline water with a pH value ranging between 8.5 and 9.3 (experimental). The two conditions were separated by an interval of 24 h. The concentration of the lactate was measured just after the physical exercise and after the water consumption. In control condition, there was not significant change in lactate concentration (p = 0.097), whereas, in the experimental condition, the lactate concentration measured after the alkaline water consumption was significantly lower than the concentration measured just after the physical exercise (p < 0.000001). The observed results have proven the beneficial effects of the alkaline water on the reduction of the lactate concentration thus accelerating the muscle fatigue recovery process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Krustrup, P., Ferguson, R.A., Kjær, M., Bangsbo, J.: ATP and heat production in human skeletal muscle during dynamic exercise: higher efficiency of anaerobic than aerobic ATP resynthesis. J. Physiol. 549(1), 255–269 (2003)
Bangsbo, J.: Quantification of anaerobic energy production during intense exercise. Med. Sci. Sports Exerc. 30(1), 47–52 (1998)
Katz, A.T., Sahlin, K.: Regulation of lactic acid production during exercise. J. Appl. Physiol. 65(2), 509–518 (1988)
https://www.ibm.com/it-it/analytics/spss-statistics-software
Bevilacqua, V., Trotta, G.F., Loconsole, C., Brunetti, A., Caporusso, N., Bellantuono, G. M., De Feudis, I., Patruno, D., De Marco, D., Venneri, A., Di Vietro, M. Losavio, G., Tatò, S.I.: A RGB-D sensor based tool for assessment and rating of movement disorders. In: International Conference on Applied Human Factors and Ergonomics, pp. 110–118. Springer, Cham, July 2017
Buongiorno, D., Trotta, G. F., Bortone, I., Di Gioia, N., Avitto, F., Losavio, G., Bevilacqua, V.: Assessment and rating of movement impairment in Parkinson’s disease using a low-cost vision-based system. In: International Conference on Intelligent Computing, pp. 777–788. Springer, Cham, August 2018
Manghisi, V.M., Uva, A.E., Fiorentino, M., Bevilacqua, V., Trotta, G.F., Monno, G.: Real time RULA assessment using Kinect v2 sensor. Appl. Ergon. 65, 481–491 (2017)
Buongiorno, D., Barone, F., Berger, D.J., Cesqui, B., Bevilacqua, V., d’Avella, A., Frisoli, A.: Evaluation of a pose-shared synergy-based isometric model for hand force estimation: towards myocontrol. In: Converging Clinical and Engineering Research on Neurorehabilitation II, pp. 953–958. Springer, Cham (2017)
Acknowledgments
This work has been partially funded by the Italian Apulian Region project “RECALL” (Innolabs n. QIRYKE8).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Losavio, G. et al. (2020). On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery. In: Karwowski, W., Goonetilleke, R., Xiong, S., Goossens, R., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1215. Springer, Cham. https://doi.org/10.1007/978-3-030-51549-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-51549-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51548-5
Online ISBN: 978-3-030-51549-2
eBook Packages: EngineeringEngineering (R0)