Proposed Analytical Method for Assessing Individual Benefit: a Case Study

John Hart DC MHSc^1,

¹Hart Chiropractic, Greenville, South Carolina

Cite this paper:
John Hart DC MHSc. Proposed Analytical Method for Assessing Individual Benefit: a Case Study. Journal of Physical Activity Research. 2023; 8(1):52-55. doi: 10.12691/jpar-8-1-9

Abstract

Exercise often improves health status as evidenced by improvements in physiological measures such as heart rate variability. With modern technology, such as heart rate apps for smartphones, an individual can track his or her own data on a daily basis. They may also go a step further and enter their data into a spreadsheet for further analysis. In this way they can study their own data, e.g., when a change in training occurs, to see if there is a benefit following the change. The present case study provides an example of how the approach can be used.

Keywords:
Exercise heart rate variability self-measurement health

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Vesterinen V, Häkkinen K, Hynynen E, Mikkola J, Hokka L, Nummela A. Heart rate variability in prediction of individual adaptation to endurance training in recreational endurance runners. Scandinavian Journal of Medicine & Science in Sports 2013; 23(2):171-80. Available at: PubMed.
[2]	Zulfiqar U., et al. Relation of high heart rate variability to healthy longevity. American Journal of Cardiology 105.8 (2010): 1181- 1185. Available at: PubMed.
[3]	Autonomic nervous system. Cleveland Clinic (2022). Available at: ANS.
[4]	Carrasco-Poyatos M, González-Quílez A, Altini M, Granero-Gallegos A. Heart rate variability-guided training in professional runners: Effects on performance and vagal modulation. Physiology & Behavior 2022; 244:113654. Available at: PubMed.
[5]	Urbank D., et al. Heart rate variability – clinical significance. Family Medicine and Primary Care Review 20.1 (2018): 87-90. Available at: SemanticScholar.
[6]	Altini M. Heart rate variability using the phone’s camera. Available at: Camera HRV.
[7]	Plews DJ., et al. Comparison of heart rate variability recording with smart phone photoplethysmographic Polar H7 chest strap and electrocardiogram methods. International Journal of Sports Physiology and Performance 12.10 (2017): 1-17. Available at: PubMed.
[8]	Chan PH, Wong CK, Poh YC, Pun L, Leung WW, Wong YF, Wong MM, Poh MZ, Chu DW, Siu CW. Diagnostic Performance of a Smartphone-Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting. Journal of the American Heart Association 2016 Jul 21;5(7):e003428. Available at: PubMed.
[9]	GraphPad InStat version 3.00 for Windows 95, GraphPad Software, San Diego California USA. Available at: GraphPad.
[10]	Acock A. A gentle introduction to Stata. Stata Press. 2010. Available at: Stata.
[11]	Hart J. Resting pulse rate analysis for an individual undergoing different types of exercise: A case study in methodology. Biology of Exercise 2018; 14(1):75-86. Free full text PDF available at: ResearchGate.