Estimation of Lower Body Muscle Power from Vertical Jump in Youth

References

• Ammann, P., & Rizzoli, R. (2003). Bone strength and its determinants. Osteoporosis International, 14(Suppl. 3), S13–S18. https://doi.org/10.1007/s00198-002-1345-4
   PubMed Web of Science ®Google Scholar
• Amonette, W. E., Brown, L. E., De Witt, J. K., Dupler, T. L., Tran, T. T., Tufano, J. J., & Spiering, B. A. (2012). Peak vertical jump power estimations in youths and young adults. Journal of Strength and Conditioning Research, 26(7), 1749–1755. https://doi.org/10.1519/JSC.0b013e3182576f1e
   PubMed Web of Science ®Google Scholar
• Baptista, F., Mil-Homens, P., Carita, A. I., Janz, K., & Sardinha, L. B. (2016). Peak vertical jump power as a marker of bone health in children. International Journal of Sports Medicine, 37(8), 653–658. http://dx.doi.org/10.1055/s-0042-105290
   PubMed Web of Science ®Google Scholar
• Baptista, F., Zymbal, V., & Janz, K. F. (2021). Predictive validity of handgrip strength, vertical jump power, and plank time in the identification of pediatric sarcopenia. Measurement in Physical Education and Exercise Science, 1–10. https://doi.org/10.1080/1091367X.2021.1987242
   Google Scholar
• Baumgartner, T. A., Jackson, A. S., Mahar, M. T., & Rowe, D. A. (2016). Measurement for evaluation in kinesiology (9th ed.). Jones & Bartlett.
   Google Scholar
• Boiarskaia, E. A., Boscolo, M. S., Zhu, W., & Mahar, M. T. (2011). Cross-validation of an equating method linking aerobic FITNESSGRAM® field tests. American Journal of Preventive Medicine, 41(4), S124–S130. https://doi.org/10.1016/j.amepre.2011.07.009
   PubMed Web of Science ®Google Scholar
• Bowerman, B. L., & O’Connell, R. T. (1990). Linear statistical models: An applied approach (2nd ed.). PWS-Kent.
   Google Scholar
• Burns, R. D., Hannon, J. C., Brusseau, T. A., Eisenman, P. A., Shultz, B. B., Saint-Maurice, P. F., Welk, G. J., & Mahar, M. T. (2016). Development of an aerobic capacity prediction model from one-mile run/walk performance in adolescents aged 13–16 years. Journal of Sports Sciences, 34(1), 18–26. https://doi.org/10.1080/02640414.2015.1031163
   PubMed Web of Science ®Google Scholar
• Canavan, P. K., & Vescovi, J. D. (2004). Evaluation of power prediction equations: Peak vertical jumping power in women. Medicine and Science in Sports and Exercise, 36(9), 1589–1593. https://doi.org/10.1249/01.mss.0000139802.96395.ac
   PubMed Web of Science ®Google Scholar
• Castro-Pinero, J., Ortega, F. B., Artero, E. G., Girela-Rejon, M. J., Mora, J., Sjostrom, M., & Ruiz, J. R. (2010). Assessing muscular strength in youth: Usefulness of standing long jump as a general index of muscular fitness. Journal of Strength and Conditioning Research, 24(7), 1810–1817. https://doi.org/10.1519/JSC.0b013e3181ddb03d
   PubMed Web of Science ®Google Scholar
• Clark, E. M., Ness, A. R., Bishop, N. J., & Tobias, J. H. (2006). Association between bone mass and fractures in children: A prospective cohort study. Journal of Bone and Mineral Research, 21(9), 1489–1495. https://doi.org/10.1359/jbmr.060601
   PubMed Web of Science ®Google Scholar
• Cureton, K. J., Sloniger, M. A., O’Bannon, J. P., Black, D. M., & McCormack, W. P. (1995). A generalized equation for prediction of &OV0312;O2peak from 1-mile run/walk performance. Medicine and Science in Sports and Exercise, 27(3), 445–451. https://doi.org/10.1249/00005768-199503000-00023
   PubMed Web of Science ®Google Scholar
• Dietzel, R., Felsenberg, D., & Armbrecht, G. (2015). Mechanography performance tests and their association with sarcopenia, falls and impairment in the activities of daily living - a pilot cross-sectional study in 293 older adults. Journal of Musculoskeletal & Neuronal Interactions, 15(3), 249–256. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601237/
   PubMed Web of Science ®Google Scholar
• Dixon, P. M., Saint-Maurice, P. F., Kim, Y., Hibbing, P., Bai, Y., & Welk, G. J. (2018). A primer on the use of equivalence testing for evaluating measurement agreement. Medicine and Science in Sports and Exercise, 50(4), 837–845. https://doi.org/10.1249/MSS.0000000000001481
   PubMed Web of Science ®Google Scholar
• Duncan, M. J., Hankey, J., Lyons, M., James, R. S., & Nevill, A. M. (2013). Peak power prediction in junior basketballers: Comparing linear and allometric models. Journal of Strength and Conditioning Research, 27(3), 597–603. https://doi.org/10.1519/JSC.0b013e31825d97ac
   PubMed Web of Science ®Google Scholar
• Duncan, M. J., Hankey, J., & Nevill, A. M. (2013). Peak power estimation equations in 12- to 16-year-old children. Comparing linear with allometric models. Pediatric Exercise Science, 25(3), 385–393. https://doi.org/10.1123/pes.25.3.385
   PubMed Web of Science ®Google Scholar
• Faigenbaum, A. D., MacDonald, J. P., Stracciolini, A., & Rebullido, T. R. (2020). Making a strong case for prioritizing muscular fitness in youth physical activity guidelines. Current Sports Medicine Reports, 19(12), 530–536. https://doi.org/10.1249/jsr.0000000000000784
   PubMed Web of Science ®Google Scholar
• Flegal, K. M., Ogden, C. L., Yanovski, J. A., Freedman, D. S., Shepherd, J. A., Graubard, B. I., & Borrud, L. G. (2010). High adiposity and high body mass index-for-age in US children and adolescents overall and by race-ethnic group. American Journal of Clinical Nutrition, 91(4), 1020–1026. https://doi.org/10.3945/ajcn.2009.28589
   PubMed Web of Science ®Google Scholar
• Gomez-Bruton, A., Gabel, L., Nettlefold, L., MacDonald, H., Race, D., & McKay, H. (2019). Estimation of peak muscle power from a countermovement vertical jump in children and adolescents. Journal of Strength and Conditioning Research, 33(2), 390–398. https://doi.org/10.1519/JSC.0000000000002002
   PubMed Web of Science ®Google Scholar
• Hardcastle, S. A., Gregson, C. L., Rittweger, J., Crabtree, N., Ward, K., & Tobias, J. H. (2014). Jump power and force have distinct associations with cortical bone parameters: Findings from a population enriched by individuals with high bone mass. Journal of Clinical and Endocrinology Metabolism, 99(1), 266–275. https://doi.org/10.1210/jc.2013-2837
   PubMed Web of Science ®Google Scholar
• Henriques-Neto, D., Magalhaes, J. P., Hetherington-Rauth, M., Santos, D. A., Baptista, F., & Sardinha, L. B. (2020). Physical fitness and bone health in young athletes and nonathletes. Sports Health, 12(5), 441–448. https://doi.org/10.1177/1941738120931755
   PubMedGoogle Scholar
• Institute of Medicine(IOM). (2012). Fitness measures and health outcomes in youth. National Academies Press. https://doi.org/10.17226/13483
   Google Scholar
• Janz, K. F., Baptista, F., Ren, S., Zhu, W., Laurson, K., Mahar, M. T., Pavlovic, A., & Welk, G. J. (2021). Associations among musculoskeletal fitness assessments and health outcomes: The Lisbon study for the development and evaluation of musculoskeletal fitness standards in youth. Measurement for Physical Education and Exercise Science, 1–9. https://doi.org/10.1080/1091367X.2021.2000414
   Google Scholar
• Janz, K. F., Laurson, K. R., Baptista, F., Mahar, M. T., & Welk, G. J. (2021). Vertical jump power is associated with healthy bone outcomes in youth: ROC analyses and diagnostic performance. Measurement in Physical Education and Exercise Science, 1–9. https://doi.org/10.1080/1091367X.2021.2013230
   Google Scholar
• Janz, K. F., Letuchy, E. M., Burns, T. L., Francis, S. L., & Levy, S. M. (2015). Muscle power predicts adolescent bone strength: Iowa bone development study. Medicine and Science in Sports and Exercise, 47(10), 2201–2206. https://doi.org/10.1249/mss.0000000000000648
   PubMed Web of Science ®Google Scholar
• Johnson, D. L., & Bahamonde, R. (1996). Power output estimate in university athletes. Journal of Strength and Conditioning Research, 10(3), 161–166. https://journals.lww.com/nsca-jscr/toc/1996/08000
   Google Scholar
• Lakens, D., Scheel, A. M., & Isager, P. M. (2018). Equivalence testing for psychological research: A tutorial. Advances in Methods and Practices in Psychological Science, 1(2), 259–269. https://doi.org/10.1177/2515245918770963
   Google Scholar
• Lara, A. J., Abian, J., Alegre, L. M., Jimenez, L., & Aguado, X. (2006). Assessment of power output in jump tests for applicants to a sports sciences degree. Journal of Sports Medicine and Physical Fitness, 46(3), 419–424. https://pubmed.ncbi.nlm.nih.gov/16998446/
   PubMed Web of Science ®Google Scholar
• Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49(4), 764–766. https://doi.org/10.1016/j.jesp.2013.03.013
   Web of Science ®Google Scholar
• Macdonald, H., Kontulainen, S., Petit, M., Janssen, P., & McKay, H. (2006). Bone strength and its determinants in pre-and early pubertal boys and girls. Bone, 39(3), 598–608. https://doi.org/10.1016/j.bone.2006.02.057
   PubMed Web of Science ®Google Scholar
• Mahar, M. T., Welk, G. J., & Rowe, D. A. (2018). Estimation of aerobic fitness from PACER performance with and without body mass index. Measurement in Physical Education and Exercise Science, 22(3), 239–249. https://doi.org/10.1080/1091367X.2018.1427590
   Web of Science ®Google Scholar
• Mahar, M. T., Welk, G. J., Rowe, D. A., Crotts, D. J., & McIver, K. L. (2006). Development and validation of a regression model to estimate VO2peak from PACER 20-m shuttle run performance. Journal of Physical Activity & Health, 3(Suppl. 2), S34–S46. https://doi.org/10.1123/jpah.3.s2.s34
   Google Scholar
• Marfell-Jones, M. J., Stewart, A. D., & de Ridder, J. H. (2012). International standards for anthropometric assessment. Wellington, New Zealand: International Society for the Advancement of Kinanthropometry.
   Google Scholar
• Meredith, M. D., & Welk, G. J. (Eds.). (2010). FitnessGram & ActivityGram test administration manual. (4th ed. ed.). Updated Human Kinetics.
   Google Scholar
• Milliken, L. A., Faigenbaum, A. D., Loud, R. L., & Westcott, W. L. (2008). Correlates of upper and lower body muscular strength in children. Journal of Strength and Conditioning Research, 22(4), 1339–1346. https://doi.org/10.1519/jsc.0b013e31817393b1
   PubMed Web of Science ®Google Scholar
• Nikolaidis, P. T. (2014). Age-related differences in countermovement vertical jump in soccer players 8-31 years old: The role of fat-free mass. American Journal of Sports Science and Medicine, 2(2), 60–64. http://dx.doi.org/10.12691/ajssm-2-2-1
   Google Scholar
• O’Brien, M. W. (2021). Implications and recommendations for equivalence testing in measures of movement behaviors: A scoping review. Journal for the Measurement of Physical Behaviour, 4(4), 353–362. https://doi.org/10.1123/jmpb.2021-0021
   Google Scholar
• Pate, R. R., & Daniels, S. (2013). Institute of Medicine report on fitness measures and health outcomes in youth. JAMA Pediatrics, 167(3), 221–222. https://doi.org/10.1001/jamapediatrics.2013.1464
   PubMed Web of Science ®Google Scholar
• Perroni, F., Vetrano, M., Rainoldi, A., Guidetti, L., & Baldari, C. (2014). Relationship among explosive power, body fat, fat free mass and pubertal development in youth soccer players: A preliminary study. Sport Sciences for Health, 10(2), 67–73. https://doi.org/10.1007/s11332-014-0175-z
   Google Scholar
• Plowman, S. A., Sterling, C. L., Corbin, C. B., Meredith, M. D., Welk, G. J., & Morrow, J. R. (2006). The history of FITNESSGRAM®. Journal of Physical Activity & Health, 3(Suppl. 2), S5–S20. https://doi.org/10.1123/jpah.3.s2.s5
   Google Scholar
• Quagliarella, L., Sasanelli, L., Belgiovine, G., Moretti, L., & Moretti, B. (2011). Power output estimation in vertical jump performed by young male soccer players. Journal of Strength and Conditioning Research, 25(6), 1638–1646. https://doi.org/10.1519/jsc.0b013e3181d85a99
   PubMed Web of Science ®Google Scholar
• Rogers, S. A., Hassmen, P., Hunter, A., Alcock, A., Crewe, S. T., Strauts, J. A., Gilleard, W. L., & Weissensteiner, J. R. (2019). The validity and reliability of the MyJump2 application to assess vertical jumps in trained junior athletes. Measurement in Physical Education and Exercise Science, 23(1), 69–77. https://doi.org/10.1080/1091367X.2018.1517088
   Web of Science ®Google Scholar
• Ruiz, J. R., Castro-Pinero, J., Espana-Romero, V., Artero, E. G., Ortega, F. B., Cuenca, M. M., Jimenez-Pavon, D., Chillon, P., Girela-Rejon, M. J., Mora, J., Gutierrez, A., Suni, J., Sjostrom, M., & Castillo, M. J. (2011). Field-based fitness assessment in young people: The ALPHA health-related fitness test battery for children and adolescents. British Journal of Sports Medicine, 45(6), 518–524. http://dx.doi.org/10.1136/bjsm.2010.075341
   PubMed Web of Science ®Google Scholar
• Saint-Maurice, P. F., Anderson, K., Bai, Y., & Welk, G. J. (2016). Agreement between VO 2peak predicted from PACER and One-Mile Run Time-equated laps. Research Quarterly for Exercise and Sport, 87(4), 421–426. https://doi.org/10.1080/02701367.2016.1216067
   PubMed Web of Science ®Google Scholar
• Sayers, S. P., Harackiewicz, D. V., Harman, E. A., Frykman, P. N., & Rosenstein, M. T. (1999). Cross-validation of three jump power equations. Medicine and Science in Sports and Exercise, 31(4), 572–577. https://doi.org/10.1097/00005768-199904000-00013
   PubMed Web of Science ®Google Scholar
• Staudenmayer, J., Zhu, W., & Catellier, D. J. (2012). Statistical considerations in the analysis of accelerometry-based activity monitor data. Medicine and Science in Sports and Exercise, 44(Suppl.), S61–S67. https://doi.org/10.1249/mss.0b013e3182399e0f
   PubMedGoogle Scholar
• Taani, M. H., Kovach, C. R., & Buehring, B. (2017). Muscle mechanography: A novel method to measure muscle function in older adults. Research in Gerontological Nursing, 10(1), 17–24. https://doi.org/10.3928/19404921-20161209-03
   PubMed Web of Science ®Google Scholar
• Van Praagh, E., & Dore, E. (2002). Short-term muscle power during growth and maturation. Sports Medicine, 32(11), 701–728. https://doi.org/10.2165/00007256-200232110-00003
   PubMed Web of Science ®Google Scholar
• Ward, R. C., Janz, K. F., Letuchy, E. M., Peterson, C., & Levy, S. M. (2019). Contribution of high school sport participation to young adult bone strength. Medicine and Science in Sports and Exercise, 51(5), 1064–1072. https://doi.org/10.1249/MSS.0000000000001870
   PubMed Web of Science ®Google Scholar
• Welk, G. J., Janz, K. F., Laurson, K., Mahar, M. T., Zhu, W., & Pavlovik, A. (2022). Development of criterion-referenced standards for musculoskeletal fitness in youth: Considerations and approaches by the fitnessgram scientific advisory board. Measurement in Physical Education and Exercise Science, 1–13. https://doi.org/10.1080/1091367X.2021.2014331
   Google Scholar
• Yildiz, M., & Fidan, U. (2020). The reliability and validity of the Fitjump photoelectric cell system for determining vertical jump height. Measurement in Physical Education and Exercise Science, 24(1), 56–64. https://doi.org/10.1080/1091367X.2019.1673394
   Web of Science ®Google Scholar
• Zengin, A., Pye, S. R., Cook, M. J., Adams, J. E., Rawer, R., Wu, F. C. W., O’Neill, T. W., & Ward, K. A. (2017). Associations of muscle force, power, cross-sectional muscle area and bone geometry in older UK men. Journal of Cachexia, Sarcopenia and Muscle, 8(4), 598–606. https://doi.org/10.1002/jcsm.12198
   PubMed Web of Science ®Google Scholar