Validity, reliability and usefulness of smartphone and kinovea motion analysis software for direct measurement of vertical jump height
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Título: | Validity, reliability and usefulness of smartphone and kinovea motion analysis software for direct measurement of vertical jump height |
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Autor/es: | Pueo, Basilio | Penichet-Tomás, Alfonso | Jimenez-Olmedo, Jose Manuel |
Grupo/s de investigación o GITE: | Research in Physical Education, Fitness and Performance (RIPEFAP) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas |
Palabras clave: | Instrument | Countermovement jump | Application | Performance | Swc | Lower limb |
Área/s de conocimiento: | Educación Física y Deportiva |
Fecha de publicación: | 1-dic-2020 |
Editor: | Elsevier |
Cita bibliográfica: | Physiology & Behavior. 2020, 227: 113144. https://doi.org/10.1016/j.physbeh.2020.113144 |
Resumen: | Jumping is a simple exercise determined by several biomechanical and physiological factors. Measures of vertical jump height are common and easy to administer tests of lower limb muscle power that are carried out with several types of equipment. This study aimed to validate and address the usefulness of the combination of smartphone and computer-based applications (Smartphone-Kinovea) against a laboratory-based Motion Capture System. One hundred and twelve healthy adults performed three maximal-effort countermovement jumps each. Both instruments measured the heights of the 336 trials concurrently while tracking the excursion of the body center of gravity. The vertical velocity at take-off vto and the impulse J were computed with jump height h measures. Intraclass correlation coefficient (ICC) results indicated very high agreement for h and vto (0.985) and almost perfect agreement for J (0.997), and Cronbach's α=0.99. Low mean differences were observed between instruments for h: -0.22 ± 1.15 cm, vto: -0.01 ± 0.04 m/s, and J: -0.56 ± 2.92 Ns, all p<0.01. The smallest worthwhile change (SWC) and the typical error of measurement (SEM) were 1.34 cm, 0.81 cm for h; 1.15 m/s, 0.03 m/s for vto, and 2.93 Ns, 2.25 Ns for J, so the usefulness of the method is established (SWC/SEM>1). Bland-Altman plots showed very low mean systematic bias ± random errors (-0.22 ± 2.25 cm; -0.01 ± 0.08 m/s; -0.56 ± 5.73 Ns), without association between their magnitudes (r2=0.005, r2=0.005, r2=0.001). Finally, very high to practically perfect correlation between isntruments were observed (r = 0.985; r = 0.986; r = 0.997). Our results suggest that the Smartphone-Kinovea method is a valid and reliable, low-cost instrument to monitor changes in jump performance in a healthy, active population diverse in gender and physical condition. |
Patrocinador/es: | This work was supported by the Vice-rectorate program of Research and Knowledge transfer for the Promotion of R&D at the University of Alicante (Ref. GRE18–19). |
URI: | http://hdl.handle.net/10045/108721 |
ISSN: | 10.1016/j.physbeh.2020.113144 | 0031-9384 (Print) | 1873-507X (Online) |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2020 Elsevier Inc. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.physbeh.2020.113144 |
Aparece en las colecciones: | INV - HEALTH-TECH - Artículos de Revistas INV - SCAPE - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Pueo_etal_2020_Physiology&Behavior_final.pdf | Versión final (acceso restringido) | 1,77 MB | Adobe PDF | Abrir Solicitar una copia |
Pueo_etal_2020_Physiology&Behavior_accepted.pdf | Accepted Manuscript (acceso abierto) | 667,49 kB | Adobe PDF | Abrir Vista previa |
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