Feasibility and Reliability of the My Jump 2 Smartphone Application in Measuring Peak Power, Flight Time and Jump Height in Physically Active Subjects during Two Different Jumping Tasks

Main Article Content

Amândio Dias https://orcid.org/0000-0002-6925-1348
Paulo Pires
Leandro Santana
Paulo Marques
Mário Espada
Fernando Santos
Eduardo Jorge Silva
Diogo Teixeira

Keywords

Jumping, Reliability, Testing, Power, Countermovement Jump, Squat Jump

Abstract

Muscle strength and power are often evaluated through jumping tasks. This study investigates the reliability of My Jump 2 (MJ2), a smartphone application (app) used for this assessment. Two commonly used jumps, the countermovement jump (CMJ) and squat jump (SJ), were analyzed. The study aimed to evaluate the reliability of MJ2 for assessing peak power, jump height, and flight time. Materials and Methods: Thirty-eight undergraduate students performed three jumps of each type in a randomized order. All jumps were executed on a contact mat and simultaneously recorded by the smartphone’s slow-motion camera. Two independent researchers analyzed the video data by identifying take-off and landing frames to calculate flight time. The intraclass correlation coefficient (ICC), coefficient of variation (CV), and Lin’s concordance correlation coefficient (CCC) were used for comparison. Results: Excellent reliability (ICC > 0.9) and high agreement were observed for flight time and jump height in both SJ and CMJ. Typical error and CV analysis indicated low variability for SJ, whereas CMJ jump height showed greater variability. However, peak power reliability and agreement were low (ICC < 0.5) for both jumps. Conclusions: The results suggest that MJ2 is a reliable and valid tool for assessing jump height and flight time, irrespective of the device used for data analysis. However, its power measurement capability differs from a contact platform’s, likely due to the indirect methods used to estimate power. Based on these findings, the MJ2 app can be confidently used to measure flight time and jump height but should be used cautiously when assessing power.

Downloads

Download data is not yet available.

Abstract 1080 | PDF Downloads 64

References

1. Bobbert, M.F., van Ingen Schenau, G.J. Coordination in vertical jumping. J Biomech. 1988;21(3):249–262. https://doi.org/10.1016/0021-9290(88)90175-3.
2. Suchomel, T.J., Nimphius, S., Stone, M.H. The Importance of Muscular Strength in Athletic Performance. Sports Med. 2016;46(10):1419–1449. https://doi.org/10.1007/s40279-016-0486-0.
3. Morin, J.B., Jiménez-Reyes, P., Brughelli, M., et al. When Jump Height is not a Good Indicator of Lower Limb Maximal Power Output: Theoretical Demonstration, Experimental Evidence and Practical Solutions. Sports Med. 2019;49(7):999–1006. https://doi.org/10.1007/s40279-019-01073-1.
4. Barbalho, M., Kleiner, A.F.R., Callegari, B., et al. Assessing interlimb jump asymmetry in young soccer players: The my jump 2 app. Int J Sports Physiol Perform. 2021;16(1):19–27. https://doi.org/10.1123/ijspp.2019-0981.
5. Hansen, K.T., Cronin, J.B., Pickering, S.L., et al. Do force-time and power-time measures in a loaded jump squat differentiate between speed performance and playing level in elite and elite junior rugby union players? J Strength Cond Res. 2011;25(9):2382–2391. https://doi.org/10.1519/JSC.0b013e318201bf48.
6. Gabbett, T., Kelly, J., Ralph, S., et al. Physiological and anthropometric characteristics of junior elite and sub-elite rugby league players, with special reference to starters and non-starters. J Sci Med Sport. 2009;12(1):215–222. https://doi.org/10.1016/j.jsams.2007.06.008.
7. Cormie, P., McGuigan, M.R., Newton, R.U. Influence of strength on magnitude and mechanisms of adaptation to power training. Med Sci Sports Exerc. 2010;42(8):1566–1581. https://doi.org/10.1249/MSS.0b013e3181cf818d.
8. Mclellan, C.P., Lovell, D.I., Gass, G.C. The role of rate of force development on vertical jump performance. J Strength Cond Res. 2011;25(2):379–385. https://doi.org/10.1519/JSC.0b013e3181be305c.
9. Sarvestan, J., Cheraghi, M., Sebyani, M., et al. Relationships between force-time curve variables and jump height during countermovement jumps in young elite volleyball players. Acta Gymnica. 2018;48(1):9–14. https://doi.org/10.5507/ag.2018.003.
10. Castagna, C., Ganzetti, M., Ditroilo, M., et al. Concurrent validity of vertical jump performance assessment systems. J Strength Cond Res. 2013;27(3):761–768. https://doi.org/10.1519/JSC.0b013e31825dbcc5.
11. Whitmer, T.D., Fry, A.C., Forsythe, C.M., et al. Accuracy of a vertical jump contact mat for determining jump height and flight time. J Strength Cond Res. 2015;29(4):877–881. https://doi.org/10.1519/JSC.0000000000000542.
12. Bosquet, L., Berryman, N., Dupuy, O. A comparison of 2 optical timing systems designed to measure flight time and contact time during jumping and hopping. J Strength Cond Res. 2009;23(9):2660–2665. https://doi.org/10.1519/JSC.0b013e3181b1f4ff.
13. Bogataj, Š., Pajek, M., Hadžić, V., et al. Validity, reliability, and usefulness of my jump 2 app for measuring vertical jump in primary school children. Int J Environ Res Public Health. 2020;17(10):3078. https://doi.org/10.3390/ijerph17103708.
14. Balsalobre-Fernández, C., Marchante, D., Baz-Valle, E., et al. Analysis of wearable and smartphone-based technologies for the measurement of barbell velocity in different resistance training exercises. Front Physiol. 2017;8:649. https://doi.org/10.3389/fphys.2017.00649.
15. Peart, D.J., Balsalobre-Fernández, C., Shaw, M.P. Use of Mobile Applications to Collect Data in Sport, Health, and Exercise Science: A Narrative Review. J Strength Cond Res. 2019;33(4):1167–1177. https://doi.org/10.1519/JSC.0000000000002344.
16. Halson, S.L., Peake, J.M., Sullivan, J.P. Wearable Technology for Athletes: Information Overload and Pseudoscience? Int J Sports Physiol Perform. 2016;11(6):705–706. https://doi.org/10.1123/IJSPP.2016-0486.
17. Intille, S.S., Lester, J., Sallis, J.F., et al. New Horizons in sensor development. Med Sci Sports Exerc. 2012;44(1 Suppl 1):S24–31. https://doi.org/10.1249/MSS.0b013e3182399c7d.
18. Thompson, W.R. Worldwide Survey of Fitness Trends for 2023. ACSMs Health Fit J. 2023;27(1):9–18. https://doi.org/10.1249/FIT.0000000000000834.
19. Balsalobre-Fernández, C., Glaister, M., Lockey, R.A. The validity and reliability of an iPhone app for measuring vertical jump performance. J Sports Sci. 2015;33(15):1574–1579. https://doi.org/10.1080/02640414.2014.996184.
20. Coswig, V., Costa E Silva, A.D.A., Barbalho, M., et al. Assessing the validity of the MyJUMP2 app for measuring different jumps in professional cerebral palsy football players: An experimental study. JMIR Mhealth Uhealth. 2019;7(1):e11099. https://doi.org/10.2196/11099.
21. Cruvinel-Cabral, R.M., Oliveira-Silva, I., Medeiros, A.R., et al. The validity and reliability of the “my Jump App” for measuring jump height of the elderly. PeerJ. 2018;6:e5804. https://doi.org/10.7717/peerj.5804.
22. Haynes, T., Bishop, C., Antrobus, M., et al. The validity and reliability of the My Jump 2 app for measuring the reactive strength index and drop jump performance. J Sports Med Phys Fitness. 2018;59(2):253–258. https://doi.org/10.23736/S0022-4707.18.08195-1.
23. Bogataj, Š., Pajek, M., Andrašić, S., et al. Concurrent validity and reliability of my jump 2 app for measuring vertical jump height in recreationally active adults. Appl. Sci. 2020;10(11):3805. https://doi.org/10.3390/app10113805.
24. Pueo, B., Hopkins, W.G., Penichet-tomas, A., et al. Accuracy of flight time and countermovement-jump height estimated from videos at different frame rates with MyJump. Biol Sport. 2023;40(2):595–601. https://doi.org/10.5114/biolsport.2023.118023.
25. Gallardo-Fuentes, F., Gallardo-Fuentes, J., Ramírez-Campillo, R., et al. Intersession and intrasession reliability and validity of the my jump app for measuring different jump actions in trained male and female athletes. J Strength Cond Res. 2016;30(7):2049–2056. https://doi.org/10.1519/JSC.0000000000001304.
26. Stanton, R., Wintour, S.A., Kean, C.O. Validity and intra-rater reliability of MyJump app on iPhone 6s in jump performance. J Sci Med Sport. 2017;20(5):518–523. https://doi.org/10.1016/j.jsams.2016.09.016.
27. Yingling, V.R., Castro, D.A., Duong, J.T., et al. The reliability of vertical jump tests between the Vertec and My Jump phone application. PeerJ. 2018;6:e4669. https://doi.org/10.7717/peerj.4669.
28. Sayers, S.P., Harackiewicz, D.V., Harman, E.A., et al. Cross-validation of three jump power equations. Med Sci Sports Exerc. 1999;31(4):572–577. https://doi.org/10.1097/00005768-199904000-00013.
29. Sharp, A.P., Cronin, J., Neville, J. Using Smartphones for Jump Diagnostics: A Brief Review of the Validity and Reliability of the My Jump App. Strength Cond J. 2019;41(5):96–107. https://doi.org/10.1519/SSC.0000000000000472.
30. Donner, A. and Eliasziw, M. Sample size requirements for reliability studies. Stat Med. 1987;6(4):441–448. https://doi.org/10.1002/sim.4780060404.Donner, A., Eliasziw, M. Sample size requirements for reliability studies. Stat Med. 1987;6(4):441–448. https://doi.org/10.1002/sim.4780060404.
31. Harriss, D.J., Jones, C., MacSween, A. Ethical Standards in Sport and Exercise Science Research: 2022 Update. Int J Sports Med. 2022;43(13):1065–1070. https://doi.org/10.1055/a-1957-2356.
32. Jimenez-olmedo, J.M., Pueo, B., Mossi, J.M., et al. Reliability of My Jump 2 Derived from Crouching and Standing Observation Heights. Int J Environ Res Public Health. 2022;19(16):9854. https://doi.org/10.3390/ijerph19169854.
33. Pueo, B., Penichet-Tomas, A., Jimenez-Olmedo, J.M. Reliability and validity of the Chronojump open-source jump mat system. Biol Sport. 2020;37(3):255–259. https://doi.org/10.5114/biolsport.2020.95636.
34. Bishop, C., Jarvis, P., Turner, A., et al. Validity and Reliability of Strategy Metrics to Assess Countermovement Jump Performance using the Newly Developed My Jump Lab Smartphone Application. J Hum Kinet. 2022;83:185–195. https://doi.org/10.2478/hukin-2022-0098.
35. Samozino, P., Morin, J.B., Hintzy, F., et al. A simple method for measuring force, velocity and power output during squat jump. J Biomech. 2008;41(14):2940–2945. https://doi.org/10.1016/j.jbiomech.2008.07.028.
36. Glatthorn, J.F., Gouge, S., Nussbaumer, S., et al. Validity and reliability of Optojump photoelectric cells for estimating vertical jump height. J Strength Cond Res. 2011;25(2):556–560. https://doi.org/10.1519/JSC.0b013e3181ccb18d.
37. Lakens, D. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Front Psychol. 2013;4:863. https://doi.org/10.3389/fpsyg.2013.00863.
38. Hopkins, W.G., Marshall, S.W., Batterham, A.M., et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–13. https://doi.org/10.1249/MSS.0b013e31818cb278.
39. Koo, T.K., Li, M.Y. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155–163. https://doi.org/10.1016/j.jcm.2016.02.012.
40. Hopkins, W.G. Spreadsheets for analysis of validity and reliability. SportsScience. 2015;19:36–42. https://sportsci.org/2015/ValidRely.pdf.
41. Ferasin, L., Marcora, S. Reliability of an incremental exercise test to evaluate acute blood lactate, heart rate and body temperature responses in Labrador retrievers. J Comp Physiol B. 2009;179(7):839–845. https://doi.org/10.1007/s00360-009-0367-z.
42. Hopkins, W.G. Measures of reliability in sports medicine and science. Sports Med. 2000;30(1):1–15. https://doi.org/10.2165/00007256-200030010-00001.
43. Berchtold, A. Test–retest: Agreement or reliability? Methodol. Innov. 2016;9. https://doi.org/10.1177/2059799116672875.
44. Carlos-Vivas, J., Martin-Martinez, J.P., Hernandez-Mocholi, M.A., et al. Validation of the iPhone app using the force platform to estimate vertical jump height. J Sports Med Phys Fitness. 2018;58(3):227–232. https://doi.org/10.23736/S0022-4707.16.06664-0.
45. Fox, E.L., Mathews, D.K. Interval Training; Conditioning for Sports and General Fitness. JOHPER. 1973;44(9):16–17. https://doi.org/10.1080/00221473.1973.10621921.
46. Bort-Roig, J., Gilson, N.D., Puig-Ribera, A., et al. Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Med. 2014;44(5):671–686. https://doi.org/10.1007/s40279-014-0142-5.