Validity and Reliability of an iOS Mobile Application for Measuring Change of Direction Across Health, Performance, and School Sports Contexts

This study evaluated the validity and reliability of the Fitnessmeter mobile application for measuring change of direction (COD) performance compared to a gold-standard photocell system. Forty-six trained adolescent soccer players performed the 5 + 5 m COD test, with simultaneous data collection using the Fitnessmeter app and photocells. A strong correlation was observed between the two instruments (r = 0.971), with no significant differences in COD times (p > 0.05). Bland–Altman analysis indicated minimal systematic bias (0.02 ± 0.05 s) and acceptable limits of agreement. Reliability analysis demonstrated high consistency for both devices (Fitnessmeter ICC = 0.66–0.72; Photocells ICC = 0.57–0.76), with reproducibility confirmed by a low coefficient of variation values (<3%). The Fitnessmeter app also effectively measured inter-limb asymmetries, showing results comparable to photocells (p = 0.42). These findings validate Fitnessmeter as a reliable, portable, and cost-effective tool for COD assessment. Its accessibility makes it suitable for applications in sports, education, and rehabilitation, offering a practical alternative to expensive equipment. Further studies are recommended to confirm its reliability in other COD tests and contexts. Fitnessmeter’s innovative motion detection technology has the potential to democratize performance assessment, making it accessible to a broader audience beyond elite sports.

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Publication Details

Journal
Applied Sciences
Published
2025-02-12
DOI
https://doi.org/10.3390/app15041891
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
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article

Validity and Reliability of an iOS Mobile Application for Measuring Change of Direction Across Health, Performance, and School Sports Contexts

David Falcón Miguel, Alejandro Moreno-Azze, Fernando Alacid, Daniel López-Plaza
1 citations
Applied Sciences
Sports Performance and Training
1.72
article

Validity and Reliability of an iOS Mobile Application for Measuring Change of Direction Across Health, Performance, and School Sports Contexts

David Falcón Miguel, Alejandro Moreno-Azze, Fernando Alacid, Daniel López-Plaza
article en
1 citations

Abstract

This study evaluated the validity and reliability of the Fitnessmeter mobile application for measuring change of direction (COD) performance compared to a gold-standard photocell system. Forty-six trained adolescent soccer players performed the 5 + 5 m COD test, with simultaneous data collection using the Fitnessmeter app and photocells. A strong correlation was observed between the two instruments (r = 0.971), with no significant differences in COD times (p > 0.05). Bland–Altman analysis indicated minimal systematic bias (0.02 ± 0.05 s) and acceptable limits of agreement. Reliability analysis demonstrated high consistency for both devices (Fitnessmeter ICC = 0.66–0.72; Photocells ICC = 0.57–0.76), with reproducibility confirmed by a low coefficient of variation values (<3%). The Fitnessmeter app also effectively measured inter-limb asymmetries, showing results comparable to photocells (p = 0.42). These findings validate Fitnessmeter as a reliable, portable, and cost-effective tool for COD assessment. Its accessibility makes it suitable for applications in sports, education, and rehabilitation, offering a practical alternative to expensive equipment. Further studies are recommended to confirm its reliability in other COD tests and contexts. Fitnessmeter’s innovative motion detection technology has the potential to democratize performance assessment, making it accessible to a broader audience beyond elite sports.

Applied SciencesVol. 15(4)
Universidad de Zaragoza (ES), University of Almería (ES)
Openalex Percentile: Top 23%
Sports Performance and Training
1.72
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Validity and Reliability of an iOS Mobile Application for Measuring Change of Direction Across Health, Performance, and School Sports Contexts — David Falcón Miguel, Alejandro Moreno-Azze, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS