Skip to main content
Log in

Estimating VO2max in children aged 5–6 years through the preschool-adapted 20-m shuttle-run test (PREFIT)

  • Original Article
  • Published:
European Journal of Applied Physiology Aims and scope Submit manuscript

Abstract

Purpose

(1) To examine the comparability, i.e., discriminatory power, in a preschooler test (PREFIT 20-m shuttle-run test) and the 20mSRT-Original in 5–6-year-olds; (2) to provide an equation to estimate VO2max from the 20mSRT-PREFIT.

Methods

138 participants aged 5–6 years performed the 20mSRT-PREFIT and the 20mSRT-Original in a counterbalanced order. Total test duration, completed stages, maximum speed and maximum heart rate were registered.

Results

Participants finished stages from 2–10 in the 20mSRT-PREFIT, whereas stages 1–5 were completed in the 20mSRT-Original and a null was registered, showing the original version a lower discriminatory power. We also observed that the higher the cardiorespiratory fitness level the more comparable were the tests, i.e., − 0.04 km h−1 difference between tests in the fittest participants (i.e., maximum speed ≥ 9.5 km h−1). Using the original equation proposed by Leger and colleagues in 1988 and based on the estimation regression of maximum speed in the 20mSRT-Original from the PREFIT version, we computed a new equation to estimate VO2max from the 20mSRT-PREFIT: Y = 44.657 + 1.795X 1  2.601X 2  + 0.0852X 1 X 2 (r = 0.77; r 2 = 0.59; SEE = 1.25 ml kg−1 min−1 or 2.59% of estimated mean VO2max = 48.38 ml kg−1 min−1), where X 1 is the 20mSRT-PREFIT maximum speed (km h−1) and X 2 is the age of participants. The 20mSRT-PREFIT resulted in a significantly higher maximum heart rate than the 20mSRT-Original.

Conclusions

The 20mSRT-PREFIT has higher discriminatory power than the 20mSRT-Original. Our study provides for the first time an opportunity to estimate VO2max in preschoolers and children based on the 20mSRT-PREFIT maximum speed and the age of participants.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

ANOVA:

Analysis of variance

CRF:

Cardiorespiratory fitness

maxHR:

Maximum heart rate

Q:

Quartile

SEE:

Standard error of estimate

SPSS:

Statistical package for the social sciences

VO2max:

Maximal oxygen uptake

VO2peak:

Peak oxygen uptake

20mSRT-PREFIT:

20-meter shuttle-run test PREFIT

20mSRT-Original:

20-meter shuttle-run test-Original

References

  • American College of Sports Medicine., Thompson WR, Gordon NF, Pescatello LS (2010) ACSM’s guidelines for exercise testing and prescription. Lippincott Williams & Wilkins, Philadelphia

    Google Scholar 

  • Anderson SJ, Hughson RL, Sherrill DL, Swanson GD (1986) Determination of the “anaerobic threshold”. J Appl Physiol 60(6):2135–2137. http://www.ncbi.nlm.nih.gov/pubmed/3722077. Accessed 27 Jan 2017

  • Artero EG, España-Romero V, Castro-Piñero J, Ortega FB, Suni J, Castillo-Garzon MJ, Ruiz JR (2012) Reliability of field-based fitness tests in youth. Int J Sports Med 32(3):159–169

    Article  Google Scholar 

  • Ayán C, Cancela JM, Romero S, Alonso S (2015) Reliability of two field-based tests for measuring cardiorespiratory fitness in preschool children. J Strength Cond Res 29(10):2874–2880

    Article  PubMed  Google Scholar 

  • Barnes KR, Kilding AE (2015) Running economy: measurement, norms, and determining factors. Sport Med Open 1(1):8

    Article  Google Scholar 

  • Barnett LM, Morgan PJ, van Beurden E, Beard JR (2008a) Perceived sports competence mediates the relationship between childhood motor skill proficiency and adolescent physical activity and fitness: a longitudinal assessment. Int J Behav Nutr Phys Act 5:40

    Article  PubMed  PubMed Central  Google Scholar 

  • Barnett LM, Van Beurden E, Morgan PJ, Brooks LO, Beard JR (2008b) Does childhood motor skill proficiency predict adolescent fitness? Med Sci Sports Exerc 40(12):2137–2144

    Article  PubMed  Google Scholar 

  • Bar-Or O (1983) Pediatric Sports Medicine for the Practitioner. Springer, New York

    Book  Google Scholar 

  • Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310. http://www.ncbi.nlm.nih.gov/pubmed/2868172. Accessed 5 Dec 2015

  • Burns RD, Hannon JC, Brusseau TA, Eisenman PA, Shultz BB, Saint-Maurice PF, Welk GJ, Mahar MT (2016) Development of an aerobic capacity prediction model from one-mile run/walk performance in adolescents aged 13–16 years. J Sports Sci 34(1):18–26

    Article  PubMed  Google Scholar 

  • Cadenas-Sanchez C, Martinez-Tellez B, Sanchez-Delgado G, Mora-Gonzalez J, Castro-Piñero J, Löf M, Ruiz JR, Ortega FB (2016) Assessing physical fitness in preschool children: feasibility, reliability and practical recommendations for the PREFIT battery. J Sci Med Sport 19(11):910–915

    Article  PubMed  Google Scholar 

  • Cadenas-Sánchez C, Alcántara-Moral F, Sánchez-Delgado G, Mora-González J, Martínez-Téllez B, Herrador-Colmenero M, Jiménez-Pavón D, Femia P, Ruiz JR, Ortega FB (2014) Assessment of cardiorespiratory fitness in preschool children: adaptation of the 20 metres shuttle run test. Nutr Hosp 30(6):1333–1343

    PubMed  Google Scholar 

  • Castro-Piñero J, Artero EG, España-Romero V, Ortega FB, Sjöström M, Suni J, Ruiz JR (2010) Criterion-related validity of field-based fitness tests in youth: a systematic review. Br J Sports Med 44(13):934–943

    Article  PubMed  Google Scholar 

  • Cole TJ, Lobstein T (2012) Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 7(4):284–294

  • de Souza MC, de Chaves RN, Lopes VP, Malina RM, Garganta R, Seabra A, Maia J (2014) Motor coordination, activity, and fitness at 6 years of age relative to activity and fitness at 10 years of age. J Phys Act Health 11(6):1239–1247

    Article  PubMed  Google Scholar 

  • Högström G, Nordström A, Nordström P (2014) High aerobic fitness in late adolescence is associated with a reduced risk of myocardial infarction later in life: a nationwide cohort study in men. Eur Heart J 35(44):3133–3140

    Article  PubMed  Google Scholar 

  • Lacour J-R, Bourdin M (2015) Factors affecting the energy cost of level running at submaximal speed Eur. J Appl Physiol 115(4):651–673

    Article  Google Scholar 

  • Lang JJ, Tremblay MS, Ortega FB, Ruiz JR, Tomkinson GR (2017) Review of criterion-referenced standards for cardiorespiratory fitness: what percentage of 1 142 026 international children and youth are apparently healthy? Br J Sports Med. http://bjsm.bmj.com/content/early/2017/03/02/bjsports-2016-096955.long. Accessed 16 Mar 2017

  • Léger L (1996) Aerobic performance. In: Docherty D (ed) Measurement in pediatric exercise science, 1st edn. Human Kinetics, Champaign, pp 183–223

    Google Scholar 

  • Léger LA, Mercier D, Gadoury C, Lambert J (1988) The multistage 20 m shuttle run test for aerobic fitness. J Sports Sci 6(2):93–101

    Article  PubMed  Google Scholar 

  • Mahar MT, Welk GJ, Rowe DA, Crotts DJ, McIver KL (2006) Development and validation of a regression model to estimate VO2 peak from PACER 20-m shuttle run performance. J Phys Act Heal 3(s2):S34–S46

    Article  Google Scholar 

  • Mahar MT, Guerieri AM, Hanna MS, Kemble CD (2011) Estimation of aerobic fitness from 20-m multistage shuttle run test performance. Am J Prev Med 41(4):S117–S123

    Article  PubMed  Google Scholar 

  • Matsuzaka A, Takahashi Y, Yamazoe M, Kumakura N, Ikeda A, Wilk B, Bar-Or O (2004) Validity of the multistage 20-m shuttle-run test for Japanese children, adolescents, and adults. Pediatr Exerc Sci 16(2):113–125

    Article  Google Scholar 

  • McVeigh SK, Payne AC, Scott S (1995) The reliability and validity of the 20-meter shuttle test as a predictor of peak oxygen uptake in Edinburgh school children, age 13 to 14 years. Pediatr Exerc Sci 7(1):69–79

    Article  Google Scholar 

  • Meredith MD, Welk G (2010) Cooper Institute (Dallas T. n.d.) FitnessGram/ActivityGram: test administration manual. https://books.google.es/books/about/Fitnessgram_and_Activitygram_Test_Admini.html?id=Gp4NJMX62lQC&redir_esc=y. Accessed 16 Mar 2017

  • Niederer I, Kriemler S, Gut J, Hartmann T, Schindler C, Barral J, Puder JJ (2011) Relationship of aerobic fitness and motor skills with memory and attention in preschoolers (Ballabeina): a cross-sectional and longitudinal study. BMC Pediatr 11:34

    Article  PubMed  PubMed Central  Google Scholar 

  • Ortega FB, Ruiz JR, Castillo MJ, Sjöström M (2008) Physical fitness in childhood and adolescence: a powerful marker of health. Int J Obes (Lond) 32(1):1–11

    Article  CAS  Google Scholar 

  • Ortega FB, Labayen I, Ruiz JR, Kurvinen E, Loit H-M, Harro J, Veidebaum T, Sjöström M (2011) Improvements in fitness reduce the risk of becoming overweight across puberty. Med Sci Sports Exerc 43(10):1891–1897

    PubMed  Google Scholar 

  • Ortega FB, Cadenas-Sánchez C, Sánchez-Delgado G, Mora-González J, Martínez-Téllez B, Artero EG, Castro-Piñero J, Labayen I, Chillón P, Löf M, Ruiz JR (2015) Systematic review and proposal of a field-based physical fitness-test battery in preschool children: the PREFIT battery. Sports Med 45(4):533–555

    Article  PubMed  Google Scholar 

  • Pate RR, Oria M, Pillsbury L, Institute of Medicine (U.S.). Committee on Fitness Measures and Health Outcomes in Youth (2012) Fitness measures and health outcomes in youth. National Academies Press, Washington, D.C.

    Google Scholar 

  • Reeves L, Broeder CE, Kennedy-Honeycutt L, East C, Matney L (1999) Relationship of fitness and gross motor skills for five- to six-yr.-old children. Percept Mot Skills 89(3 Pt 1):739–747

    Article  CAS  PubMed  Google Scholar 

  • Ruiz JR, Ramirez-Lechuga J, Ortega FB, Castro-Piñero J, Benitez JM, Arauzo-Azofra A, Sanchez C, Sjöström M, Castillo MJ, Gutierrez A, Zabala M, HELENA Study Group (2008) Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. Artif Intell Med 44(3):233–245

    Article  PubMed  Google Scholar 

  • Ruiz JR, Castro-Piñero J, Artero EG, Ortega FB, Sjöström M, Suni J, Castillo MJ (2009) Predictive validity of health-related fitness in youth: a systematic review. Br J Sports Med 43(12):909–923

    Article  CAS  PubMed  Google Scholar 

  • Ruiz JR, Castro-Piñero J, España-Romero V, Artero EG, Ortega FB, Cuenca MM, Jimenez-Pavón D, Chillón P, Girela-Rejón MJ, Mora J, Gutiérrez A, Suni J, Sjöström M, Castillo MJ (2011) Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents. Br J Sports Med 45(6):518–524

    Article  PubMed  Google Scholar 

  • Saint-Maurice PF, Welk GJ, Finn KJ, Kaj M (2015) Cross-validation of a PACER prediction equation for assessing aerobic capacity in Hungarian youth. Res Q Exerc Sport 86 Suppl 1(Sup 1):S66-73

    PubMed  Google Scholar 

  • Schepens B, Willems PA, Cavagna GA, Heglund NC (2001) Mechanical power and efficiency in running children Pflügers. Arch 442(1):107–116

    CAS  Google Scholar 

  • Stodden D, Langendorfer S, Roberton MA (2009) The association between motor skill competence and physical fitness in young adults. Res Q Exerc Sport 80(2):223–229

    Article  PubMed  Google Scholar 

  • Tomkinson G, Olds T (2008) Field tests of fitness. In: Armstrong N, Van Mechellen W (eds) Paediatric exercise science and medicine. Oxford University, Oxford, pp 109–128

    Google Scholar 

  • Tomkinson GR, Lang JJ, Tremblay MS, Dale M, LeBlanc AG, Belanger K, Ortega FB, Léger L (2016) International normative 20 m shuttle run values from 1 142 026 children and youth representing 50 countries. Br J Sports Med 0:1–14

    Google Scholar 

Download references

Acknowledgements

We would like to thank the preschool and children students, parents and teachers for their participation in this study. We also acknowledge everyone who helped with the data collection and all the members involved in the field-work for their effort, enthusiasm and support. This work was supported by the Ramón y Cajal Grant held by FBO (RYC-2011-09011). JM-G and GS-D are supported by the Spanish Ministry of Education, Culture and Sport (FPU 14/06837 and FPU 13/04365, respectively). CC-S is supported by a grant from the Spanish Ministry of Economy and Competitiveness (BES-2014-068829). FBO is supported by grants from the Spanish Ministry of Science and Innovation (RYC- 2011–09011). Additional funding was obtained from the University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Unit of Excellence on Exercise and Health (UCEES). In addition, funding was provided by the SAMID III network, RETICS, the PN I + D + I 2017–2021 (Spain), ISCIII-Sub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund (ERDF) (Ref. RD16/0022) and the EXERNET Research Network on Exercise and Health in Special Populations (DEP2005-00046/ACTI). This work is part of a Ph.D. thesis conducted in the Biomedicine Doctoral Studies of the University of Granada, Spain.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jose Mora-Gonzalez.

Additional information

Communicated by Jean-René Lacour.

Electronic supplementary material

Below is the link to the electronic supplementary material.

421_2017_3717_MOESM1_ESM.tif

Figure Supplementary 1. Bland-Altman plots representing variability between the 20mSRT-PREFIT and the 20mSRT-Original for maximum speed at last completed stage (Panel A) and maximum heart rate (Panel B). Upper and lower lines represent 95% limits of agreement (±1.96 SD). Middle line represents the systematic errors for speed and hear rate (-0.4 km h-1 and +4.2 bpm, respectively). 20mSRT = 20-meter shuttle-run test, Bpm = Beats per minute (TIFF 10,425 KB)

421_2017_3717_MOESM2_ESM.tif

Figure Supplementary 2. Simple regression scatter plot between cumulated shuttles performed in 20mSRT-PREFIT and 20mSRT-Original. Dashed lines represent a SEE ± 3.00 with respect to the regression line. Empty dots represent outliers which were considered those participants with abnormal or out of normal range performances for either tests, as defined by being out of the expected range of a SEE ± 3.00 with respect to the regression line. Regression equation including outliers (n=138) and using Anderson et al. (1986) technique was also obtained: Y=0.914X - 14.21 (r=0.71, r²=0.51, SEE=6.48, n=138). 20mSRT = 20-meter shuttle-run test, SEE = Standard Error of Estimate (TIFF 4,812 KB)

Supplementary material 3 (DOCX 86 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mora-Gonzalez, J., Cadenas-Sanchez, C., Martinez-Tellez, B. et al. Estimating VO2max in children aged 5–6 years through the preschool-adapted 20-m shuttle-run test (PREFIT). Eur J Appl Physiol 117, 2295–2307 (2017). https://doi.org/10.1007/s00421-017-3717-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00421-017-3717-7

Keywords

Navigation