ORIGINAL PAPER
Reliability of assessing ballet dancers’ postural stability in the unshod and the en pointe relevé position with a smartphone application
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Sport Biomechanics Lab, Sector of Sports Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
Submission date: 2021-03-30
Acceptance date: 2021-08-05
Publication date: 2021-10-26
Hum Mov. 2022;23(2):84-96
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ABSTRACT
Purpose:
This study aimed to verify the reliability of estimating ballet dancers’ postural stability during the unshod and the en pointe relevé position with a smartphone application
Methods:
The participants (13 ballet dancers, 22.4 ± 2.5 years of age) were tested in the unshod and the en pointe relevé position (YMED Balance Test application, smartphone secured at the L5 level for centre of mass approximation, 10 trials for each condition, 10 seconds per trial, 2-minute intertrial break, arms relaxed at bodyside, gaze fixated at an eye-level target, preferred feet width and orientation). Paired t-tests examined the inter-condition differences. Relative (intraclass correlation coefficient, ICC) and absolute (standard error of measurement, SEM, SEM%) reliability indices (for accumulated and paired trials) were computed for each condition (SPSS software v. 26.0, p < 0.05).
Results:
The total balance score and all centre of mass spatial measures indicated worse postural stability in the en pointe condition (p < 0.05), with no significant temporal differences (p > 0.05). The total body balance score was the most reliable measure (good to excellent ICC s, low to moderate SEM%) with a minimum of 8 trials ensuring reliability in both the unshod and the en pointe relevé positions.
Conclusions:
Taken a minimum of 8 trials and the measure of total balance score, we may obtain a reliable estimation of ballet dancers’ postural stability in the unshod and the en pointe relevé position by using the YMED Balance Test smartphone application.
REFERENCES (30)
1.
Da Silveira Costa MS, de Sá Ferreira A, Felicio LR. Static and dynamic balance in ballet dancers: a literaturę review. Fisioter Pesq. 2013;20(3):299–305; doi: 10.1590/S1809-29502013000300016.
2.
De Mello MC, de Sá Ferreira A, Felicio LR. Postural control during different unipodal positions in professional ballet dancers. J Dance Med Sci. 2017;21(4):151–155; doi: 10.12678/1089-313X.21.4.151.
3.
Hinton-Lewis CW, McDonough E, Moyle GM, Thiel DV. An assessment of postural sway in ballet dancers during first position, relevé and sauté with accelerometers. Procedia Eng. 2016;147:127–132; doi: 10.1016/j.proeng.2016.06.201.
4.
Janura M, Procházková M, Svoboda Z, Bizovská L, Jandová S, Konečný P. Standing balance of professional ballet dancers and non-dancers under different conditions. PLoS One. 2019;14(10):e0224145; doi: 10.1371/journal.pone.0224145.
5.
Lin C-F, Lee I-J, Liao J-H, Wu H-W, Su F-C. Comparison of postural stability between injured and uninjured ballet dancers. Am J Sports Med. 2011;39(6):1324–1331; doi: 10.1177/0363546510393943.
6.
Lin C-F, Su F-C, Wu H-W. Ankle biomechanics of balet dancers in relevé en pointé dance. Res Sports Med. 2005;13(1):23–35; doi: 10.1080/15438620590922068.
7.
Lee C-H, Sun T-L. Evaluation of postural stability based on a force plate and inertial sensor during static balance measurements. J Physiol Anthropol. 2018;37(1):27; doi: 10.1186/s40101-018-0187-5.
8.
Newton RU, Neal RJ. Three-dimensional quantification of human standing posture. Gait Posture. 1994;2(4):205–212; doi: 10.1016/0966-6362(94)90105-8.
9.
Pooranawatthanakul K, Siriphorn A. Comparisons of the validity and reliability of two smartphone placements for balance assessment using an accelerometerbased application. Eur J Physiother. 2020;22(4):236–242; doi: 10.1080/21679169.2019.1598489.
10.
Jaworski J, Ambroży T, Lech G, Spieszny M, Bujas P, Żak M, et al. Absolute and relative reliability of several measures of static postural stability calculated using a GYKO inertial sensor system. Acta Bioeng Biomech. 2020;22(2):94–99; doi: 10.37190/ABB-01502-2019-02.
11.
Moe-Nilssen R, Helbostad JL. Trunk accelerometry as a measure of balance control during quiet standing. Gait Posture. 2002;16(1):60–68; doi: 10.1016/s0966-6362(01)00200-4.
12.
Saunders NW, Koutakis P, Kloos AD, Kegelmeyer DA, Dicke JD, Devor ST. Reliability and validity of a wireless accelerometer for the assessment of postural sway. J Appl Biomech. 2015;31(3):159–163; doi: 10.1123/jab.2014-0232.
13.
Steinberg N, Adams R, Waddington G, Karin J, Tirosh O. Is there a correlation between static and dynamic postural balance among young male and female dancers? J Mot Behav. 2017;49(2):163–171; doi: 10.1080/00222895.2016.1161595.
14.
Amick RZ, Chaparro A, Patterson JA, Jorgensen MJ. Test-retest reliability of the Sway Balance Mobile Application. J Mob Technol Med. 2015;4(2):40–47; doi: 10.7309/jmtm.4.2.6.
15.
Park S-D, Kim J-S, Kim S-Y. Reliability and validity of the postural balance application program using the movement accelerometer principles in healthy young adults. Phys Ther Kor. 2013;20(2):52–59; doi: 10.12674/ptk.2013.20.2.052.
16.
Polechoński J, Nawrocka A, Wodarski P, Tomik R. Applicability of smartphone for dynamic postural stability evaluation. BioMed Res Int. 2019;2019:9753898; doi: 10.1155/2019/9753898.
17.
Moral-Munoz JA, Esteban-Moreno B, Herrera-Viedma E, Cobo MJ, Pérez IJ. Smartphone applications to perform body balance assessment: a standardized review. J Med Syst. 2018;42(7):119; doi: 10.1007/s10916-018-0970-1.
18.
Shah N, Aleong R, So I. Novel use of a smartphone to measure standing balance. JMIR Rehabil Assist Technol. 2016;3(1):e4; doi: 10.2196/rehab.4511.
19.
Bickle C, Deighan M, Theis N. The effect of pointe shoe deterioration on foot and ankle kinematics and kinetics in professional ballet dancers. Hum Mov Sci. 2018;60:72–77; doi: 10.1016/j.humov.2018.05.011.
20.
Ma Z, Qiao Y, Lee B, Fallon E. Experimental evaluation of mobile phone sensors. 24th IET Irish Signals and Systems Conference (ISSC 2013), Letterkenny, 20–21 June 2013; doi: 10.1049/ic.2013.0047.
21.
Pinsault N, Vuillerme N. Test-retest reliability of centre of foot pressure measures to assess postural control during unperturbed stance. Med Eng Phys. 2009;31(2):276–286; doi: 10.1016/j.medengphy.2008.08.003.
22.
Neville C, Ludlow C, Rieger B. Measuring postural stability with an inertial sensor: validity and sensitivity. Med Devices. 2015;8:447–455; doi: 10.2147/MDER.S91719.
23.
Seimetz C, Tan D, Katayama R, Lockhart T. A comparison between methods of measuring postural stability: force plates versus accelerometers. Biomed Sci Instrum. 2012;48:386–392.
24.
Himes JH. Reliability of anthropometric methods and replicate measurements. Am J Phys Anthropol. 1989;79(1):77–80; doi: 10.1002/ajpa.1330790108.
25.
McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1(1):30–46; doi: 10.1037/1082-989X.1.1.30.
26.
Fleiss JL. Reliability of measurement. In: Fleiss JL, The design and analysis of clinical experiments. New York: Wiley; 1986; 1–32.
27.
Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005;19(1):231–240; doi: 10.1519/15184.1.
28.
Hopkins WG. Measures of reliability in sports medicine and science. Sports Med. 2000;30(1):1–15; doi: 10.2165/00007256-200030010-00001.
29.
Wang Z, Newell KM. Footedness exploited as a function of postural task asymmetry. Laterality. 2013;18(3):303–318; doi: 10.1080/1357650X.2012.672423.
30.
Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med. 1998;26(4):217–238; doi: 10.2165/00007256-199826040-00002.