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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Electrogravimetric analysis measures the weight of an analyte deposited electrolytically onto a suitable working electrode. This method involves applying a potential to a pre-weighed electrode submerged in a solution, which results in the desired substance being deposited through reduction at the cathode or oxidation at the anode. The electrode's weight is recorded after deposition, and the difference in weight gives the analyte's weight in the solution.
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Related Experiment Video

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Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
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CrossFit Overview: Systematic Review and Meta-analysis.

João Gustavo Claudino1,2, Tim J Gabbett3,4, Frank Bourgeois5

  • 1School of Physical Education and Sport, Laboratory of Biomechanics, University of São Paulo, São Paulo, Brazil. claudinojgo@usp.br.

Sports Medicine - Open
|February 28, 2018
PubMed
Summary

Scientific literature on CrossFit is sparse, with few high-quality studies. While preliminary data suggests benefits in community, satisfaction, and motivation, robust evidence is limited.

Keywords:
High-intensity functional trainingHigh-intensity interval trainingTraining load

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Area of Science:

  • Exercise Science
  • Sports Medicine
  • Physical Therapy

Background:

  • CrossFit is a rapidly growing high-intensity functional training modality globally.
  • Existing scientific data on CrossFit practice remains limited.
  • A systematic review and meta-analysis were conducted to synthesize current research.

Purpose of the Study:

  • To systematically review and meta-analyze scientific literature on CrossFit.
  • To assess the evidence base for CrossFit's effects on various parameters.
  • To identify research gaps and the quality of existing studies.

Main Methods:

  • Conducted systematic searches across major scientific databases (PubMed, Web of Science, Scopus, Bireme/MedLine, SciELO).
  • Followed PRISMA guidelines for systematic review and used Oxford Levels of Evidence for study appraisal.
  • Performed meta-analysis on studies investigating CrossFit as a training program, calculating effect sizes and assessing heterogeneity.

Main Results:

  • Included 31 articles in the systematic review and 4 in the meta-analysis.
  • Identified limited studies (2) with high evidence level and low risk of bias.
  • Reported findings across body composition, psycho-physiological parameters, injury risk, health, and psycho-social behavior, with no significant results in the meta-analysis.

Conclusions:

  • The scientific literature on CrossFit currently lacks a substantial number of high-quality, low-bias studies.
  • Preliminary findings indicate CrossFit is associated with enhanced sense of community, satisfaction, and motivation.
  • Further rigorous research is needed to establish definitive conclusions on CrossFit's effects.