ReviewSports medicine (Auckland, N.Z.)2016
Gold Standard or Fool's Gold? The Efficacy of Displacement Variables as Indicators of Energy Expenditure in Team Sports.
Review in Sports medicine (Auckland, N.Z.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- When reliability is not reliable: meaningful errors despite large reliability values.European journal of applied physiology · 2025Article
- Characterization of physical performance and change of direction deficit across age groups in young female volleyball players.BMC sports science, medicine & rehabilitation · 2025Article
- Sport-specific variability in the energy cost of constant speed running: Implications for metabolic power estimations.PloS one · 2025Article
- Comparison of Metabolic Power and Energy Cost of Submaximal and Sprint Running Efforts Using Different Methods in Elite Youth Soccer Players: A Novel Energetic Approach.Sensors (Basel, Switzerland) · 2024Article
- Validity and reliability of Polar M400 GPS watches for measuring distances covered by team sports players.Heliyon · 2023Article
- Comparison of training and match load between metabolic and running speed metrics of professional Spanish soccer players by playing position.Biology of sport · 2022Article
- Classified metabolic power-based measures in professional football players: comparison between playing positions and match period.BMC sports science, medicine & rehabilitation · 2022Article
- Method for Forecasting Urban National Sports and Fitness Demand Based on Ant Colony Algorithm.Computational intelligence and neuroscience · 2021Article
- Reliability and Validity of Maximal Mean and Critical Speed and Metabolic Power in Australian Youth Soccer Players.Journal of human kinetics · 2020Article
- Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions.International journal of environmental research and public health · 2019Review
- A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems.PloS one · 2019Article
- Validity and reliability of GPS and LPS for measuring distances covered and sprint mechanical properties in team sports.PloS one · 2018Article
- Variability of Metabolic Power Data in Elite Soccer Players During Pre-Season Matches.Journal of human kinetics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over recent decades, the use of player tracking technology to monitor physical work output has become established practice in many team sports. Early tracking systems were manual in nature, relying on subjective assessments and arbitrary classifications of movement intensity. Poor spatial and temporal resolution meant that only gross displacement measures could be used to infer energy demands. However, the advent and evolution of automated systems, with higher sampling rates and improved accuracy, have enabled data collection to occur on a mass scale, and served as a catalyst for extensive research into the demands of team sport activity, including comparisons between different groups of athletes, and the effects of various interventions on performance. The inherent assumption with this research is that, based on steady-state models where energy cost is independent of speed, total distance and average speed are indicative of the amount and rate of work done, respectively. This assumption could be justified if the activity was performed at a constant speed in a straight line. However, team sport movement involves continual changes in both speed and direction, both of which increase energy cost. Accordingly, new models have emerged that incorporate both speed and acceleration to determine metabolic power. This provides a more complete measure of energy expenditure in intermittent activity, and is potentially more suitable than displacement variables for research into the demands of team sports.
Indexed as
Identifiers
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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.