2018
DOI: 10.7717/peerj.5804
|View full text |Cite
|
Sign up to set email alerts
|

The validity and reliability of the “My Jump App” for measuring jump height of the elderly

Abstract: BackgroundThe ability to jump has been related to muscle strength and power, speed and amplitude of the lower limbs movements, and specifically for the elderly, the vertical jump has been shown to be a good predictor of functional capacity and risk of falling. The use of a mobile application (App) which can measure the vertical jump (i.e., iPhone App My Jump) has recently emerged as a simple, cheap and very practical tool for evaluation of jump ability. However, the validity of this tool for the elderly popula… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
19
0
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 36 publications
(23 citation statements)
references
References 30 publications
3
19
0
1
Order By: Relevance
“…Solving these limitations, smartphone applications (apps) have been proved to be a valid, reliable and accurate alternative to traditional laboratory equipment for the measurement of several physical capabilities like vertical jumping (Balsalobre-Fernández, Glaister, & Lockey, 2015;Haynes, Bishop, Antrobus, & Brazier, 2018), barbell velocity (Balsalobre-Fernández, Marchante, Muñoz-López, & Jiménez, 2018;Pérez-Castilla, Piepoli, Delgado-García, Garrido-Blanca, & García-Ramos, 2019) or linear running and sprinting (Balsalobre-Fernández, Agopyan, & 6 Morin, 2017;Romero-Franco et al, 2017) thanks to the built-in slow-motion cameras present in current devices that can record at 240 frames per second. Moreover, the validity of some slow-motion apps has been confirmed in different populations like adolescent athletes (Rogers et al, 2019), old adults (Cruvinel-Cabral et al, 2018) or even professional Cerebral palsy players (Coswig et al, 2019). However, to date no app has been developed to specifically measure CODS performance.…”
Section: Introductionmentioning
confidence: 99%
“…Solving these limitations, smartphone applications (apps) have been proved to be a valid, reliable and accurate alternative to traditional laboratory equipment for the measurement of several physical capabilities like vertical jumping (Balsalobre-Fernández, Glaister, & Lockey, 2015;Haynes, Bishop, Antrobus, & Brazier, 2018), barbell velocity (Balsalobre-Fernández, Marchante, Muñoz-López, & Jiménez, 2018;Pérez-Castilla, Piepoli, Delgado-García, Garrido-Blanca, & García-Ramos, 2019) or linear running and sprinting (Balsalobre-Fernández, Agopyan, & 6 Morin, 2017;Romero-Franco et al, 2017) thanks to the built-in slow-motion cameras present in current devices that can record at 240 frames per second. Moreover, the validity of some slow-motion apps has been confirmed in different populations like adolescent athletes (Rogers et al, 2019), old adults (Cruvinel-Cabral et al, 2018) or even professional Cerebral palsy players (Coswig et al, 2019). However, to date no app has been developed to specifically measure CODS performance.…”
Section: Introductionmentioning
confidence: 99%
“…Most mobile technology today comes installed with a three-dimensional accelerometer, gyroscope, and a compass with sensitivity comparable to that of research-grade biomechanical equipment (Capecci et al, 2016; Rodriguez-Sanz et al, 2018). Using a smartphone as a testing device for movement velocity has become an appealing option for researchers, coaches, and clinicians (Bilney, Morris & Webster, 2003; Cruvinel-Cabral et al, 2018; Silsupadol, Teja & Lugade, 2017). Recently, there has been growing interest in using smartphone applications to assess gait speed and quantify isometric core stability exercise intensity (Barbado et al, 2018; Silsupadol, Teja & Lugade, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…This is unsurprising considering the current wealth of literature that has focused on the validation of apps used to collect various biomechanical variables. MyJump2 is a smartphone app that has been shown to validly and reliably estimate vertical jump performance in multiple populations [28,29]. The app has featured so significantly in the peer-reviewed literature that a narrative review has been provided by Sharpe et al [30].…”
Section: Renderxmentioning
confidence: 99%