Incorporating Training Load Monitoring into Fitness Programming: A Review of Practical Tools for Fitness Providers

by Grayson Elmore, MAEd, ATC, LAT
Personal Training Quarterly October 2018
Vol 5, Issue 1

Share:

In recent years, performance and prevention strategies have grown to include monitoring training load (TL) to understand fatigue and the potential effects of fatigue on training adaptation and performance.

Paywall block issue

This article is not configured properly for members or paid content.
isMemberOnly: {{isMemberOnly}} | isPaidContent: {{isPaidContent}}
spc: One or more parts of the product SPC is missing.

Read the full article

View the video

Login to view more


{{discountDesc}} Valid thru {{discountEnds}}

This {{ogType == 'video.other' ? 'video':'article'}} is available with a NSCA membership

This {{ogType == 'video.other' ? 'video':'article'}} can be purchased for {{prices}}
Price includes membership pricing and promotions

Purchase this {{ogType == 'video.other' ? 'video':'article'}}. Price range: {{prices}}
Price range includes membership pricing and promotions

Become a Member Add to Cart Login

This article originally appeared in Personal Training Quarterly (PTQ)—a quarterly publication for NSCA Members designed specifically for the personal trainer. Discover easy-to-read, research-based articles that take your training knowledge further with Nutrition, Programming, and Personal Business Development columns in each quarterly, electronic issue. Read more articles from PTQ »

Related Reading

Share:

References

1. Berntson, GG, Lozano, DL, and Chen, YJ. Filter properties of root mean square successive difference (RMSSD) for heart rate. Psychophysiology 42(2): 246-252, 2005.

2. Carlos-Vivas, J, Martin-Martinez, JP, Hernandez-Mocholi, MA, and Perez-Gomez, J. Validation of the iphone app using the force platform to estimate vertical jump height. Published ahead of print. Journal of Sports Medicine and Physical Fitness, 2016.

3. Dong, J. The role of heart rate variability in sports physiology. Experimental and Therapeutic Medicine 11(5): 1531-1536, 2016.

4. Flatt, AA, and Esco, MR. Validity of the ithlete smartphone application for determining ultra-short-term heart rate variability. Journal of Human Kinetics 39: 85-92, 2013.

5. Gathercole, R, Sporer, B, and Stellingwerff, T. Countermovement jump performance with increases training loads in elite female rugby athletes. International Journal of Sports Medicine 36(9): 722-728, 2015.

6. Halson, SL. Monitoring training load to understand fatigue in athletes. Sports Medicine 44(2): 139-147, 2014.

7. Heathers, JA. Smartphone-enabled pulse rate variability: An alternative methodology for the collection of heart rate variability in psychophysiological research. International Journal of Psychophysiology 89(3): 23-33, 2013.

8. Jones, CM, Griffiths, PC, and Mellalieu, S. Training load and fatigue marker associations with injury and illness: A systematic review of longitudinal studies. Sports Medicine. 47(5): 943-974, 2017.

9. McLellan, CP, and Lovell, DI. Neuromuscular responses to impact and collision during elite rugby league match play. Journal of Strength and Conditioning Research 26(5): 1431-440, 2012.

10. McMahon, JJ, Jones, PA, and Comfort, P. A correction equation for jump height measured using the just jump system. International Journal of Sports Physiology and Performance 11(4): 555-557, 2016.

11. Peng, RC, Zhou, XL, Lin, WH, and Zhang, YT. Extraction of heart rate variability from smartphone photoplethysmograms. Computational and Mathematical Methods in Medicine 1-11, 2015.

12. Routledge, FS, Campbell, TS, McFetridge-Durdle, JA, and Bacon, SL. Improvements in heart rate variability with exercise therapy. The Canadian Journal of Cardiology 26(6): 303-312, 2010.

13. Schmitt, L, Regnard, J, Desmarets, M, Mauny, F, Mourot, L, Fouillot, JP, et al. Fatigue shifts and scatters heart rate variability in elite endurance athletes. PLoS ONE 8(8): e71588, 2013.

14. Selvaraj, N, Jaryal, A, Santhosh, J, Deepak, KK, and Aand, S. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography. Journal of Medical Engineering & Technology 32(6): 479-484, 2008.

15. Slinde, F, Suber, C, Suber, L, Edwen, CE, and Svantesson, U. Test-retest reliability of three difference countermovement jumping tests. Journal of Strength and Conditioning Research 22(2): 640-644, 2008.

About the author

Grayson Elmore, CSCS

Contact Grayson Elmore

Contact Grayson Elmore

Your first name is required.
Your last name is required.
Your email is required.
Your message is required.
Your reCaptcha is required.

Your email was successfully sent to Grayson Elmore

Grayson Elmore is an Assistant Professor of Health and Human Performance at Austin Peay State University. Elmore teaches strength and conditioning and ...

View full biography
#NSCAStrong #NSCAStrong

has been added to your shopping cart!

Continue Shopping Checkout Now