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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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Fibrous joints are a type of joint where the bones are connected by fibrous connective tissue. These joints provide stability and minimal to no movement between the articulating bones. There are three types of fibrous joints.
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The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
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Inter-Individual Variability in The Joint Negative Work During Running.

Satoru Hashizume1, Hiroaki Hobara1, Yoshiyuki Kobayashi1

  • 1National Institute of Advanced Industrial Science and Technology, Human Informatics Research Institute, Tokyo, Japan.

Sports Medicine International Open
|December 13, 2018
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Running technique variability significantly impacts lower extremity joint negative work. Key mechanical parameters like moment and duration differ across hip, knee, and ankle joints, influencing muscle damage risk.

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Area of Science:

  • Biomechanics
  • Sports Science
  • Human Movement Analysis

Background:

  • Inter-individual variability in running technique influences lower extremity joint negative work.
  • Negative work in joints can contribute to muscle damage.
  • Understanding these relationships is crucial for optimizing running performance and injury prevention.

Purpose of the Study:

  • To investigate the relationships between lower extremity joint negative work and associated mechanical parameters.
  • To identify which mechanical parameters account for inter-individual variability in negative work.
  • To explore how these relationships differ across the hip, knee, and ankle joints.

Main Methods:

  • Twenty-four young male adults ran at a consistent speed (3.0 m/s).
  • Multiple linear regression analysis was used to examine relationships between negative work and mechanical parameters.
  • Data were collected for hip, knee, and ankle joints during running.

Main Results:

  • Hip joint negative work variability was explained by moment (25.4%) and duration (50.9%).
  • Knee joint negative work variability was explained by moment (40.6%), angular velocity (24.5%), and duration (23.8%).
  • Ankle joint negative work variability was primarily explained by moment (89.3%).

Conclusions:

  • Runners can modify negative work by adjusting running technique and influencing mechanical parameters.
  • The primary mechanical parameters influencing negative work vary significantly across different lower extremity joints.
  • These findings highlight the joint-specific nature of running mechanics and their impact on negative work.