SynthesisSports medicine (Auckland, N.Z.)2015
Current Methodologies and Implications of Phase Identification of the Vertical Jump: A Systematic Review and Meta-analysis.
Synthesis in Sports medicine (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Lower Extremity Kinematic and Kinetic Asymmetries during Countermovement Jumps in Healthy Division I Collegiate Athletes.Medicine and science in sports and exercise · 2026Article
- Article
- Validation of Automated Countermovement Vertical Jump Analysis: Markerless Pose Estimation vs. 3D Marker-Based Motion Capture System.Sensors (Basel, Switzerland) · 2024Article
- Acute neuromuscular and perceptual responses to U-18 English Premier League academy football match play.European journal of sport science · 2024Article
- Sensitive Identification of Asymmetries and Neuromuscular Deficits in Lower Limb Function in Early Multiple Sclerosis.Neurorehabilitation and neural repair · 2024Article
- Validity and Reliability of the Orthelligent Pro Sensor for Measuring Single-Leg Vertical Jump Height in Healthy Athletic Adults.Sensors (Basel, Switzerland) · 2024Article
- Countermovement Jumps Detect Subtle Motor Deficits in People with Multiple Sclerosis below the Clinical Threshold.Biomedicines · 2023Article
- Return to play in elite rugby players after severe knee injuries.The South African journal of physiotherapy · 2022Article
- Can Countermovement Jump Neuromuscular Performance Qualities Differentiate Maximal Horizontal Deceleration Ability in Team Sport Athletes?Sports (Basel, Switzerland) · 2020Article
- Article
- Assessing the Validity of the MyJump2 App for Measuring Different Jumps in Professional Cerebral Palsy Football Players: An Experimental Study.JMIR mHealth and uHealth · 2019Article
- A Review of Countermovement and Squat Jump Testing Methods in the Context of Public Health Examination in Adolescence: Reliability and Feasibility of Current Testing Procedures.Frontiers in physiology · 2019Review
- Phase-Specific Ground Reaction Force Analyses of Bilateral and Unilateral Jumps in Patients With ACL Reconstruction.Orthopaedic journal of sports medicine · 2017Article
- Jump assessment on a force plate-an approach to quantify subtle lower limb neuromuscular deficits in people with multiple sclerosis.Frontiers in neurologyReview
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe vertical jump (VJ) is considered a key indicator of lower limb explosive strength. Previous research has established that rate of force development and time to peak force are linked closely to athletic ability and hence the ability to extract these accurately is of significance.
objectivesThe objectives of this study were to (1) review the literature to ascertain what methods are currently used to extract jump phases from the force platform data and (2) compare identified methods on neutral data.
methodsIn Part 1, an electronic search was conducted using PubMed, Central, and EBSCO host (January 1965 to April 2014). Articles were included if they (1) detailed how VJ phases from the force platform data were identified and (2) used only force platform data in the analysis. Additionally, study design and quality was independently examined. In Part 2, the three common methodologies identified were used to analyze a neutral pool of data to determine if any variance existed.
resultsFor Part 1, a total of 19 studies met the inclusion criteria. Meta-analysis determined three methods of phase identification used in the literature from which to extract force-time variables. In Part 2, a one-way analysis of variance and Scheffe's post-hoc tests showed significant differences (p < 0.01) for force-time variables (eccentric phase time, concentric phase time, time to peak force, rate of force development) between methods.
conclusionThe results demonstrate that three common methods exist for determination of the VJ phases from force platform data. Consequently, each produce different values for force-time variables when used on a neutral data pool. There is a clear need for a robust agreed method for VJ analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.