Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

11.7K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.7K
Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

1.6K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.6K
Variability: Analysis01:11

Variability: Analysis

954
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
954
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

367
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
367
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

712
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
712
Longitudinal Studies01:26

Longitudinal Studies

706
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
706

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Collision Volume and Contact Exposure Profile in Elite Women's Rugby Union: Differences Compared with Men.

Sports (Basel, Switzerland)·2026
Same author

Wearable-Based Assessment of Cardiac Recovery After a Modified Bruce Test in Women with Breast Cancer: Role of Physical Activity and Treatment Duration.

Sensors (Basel, Switzerland)·2026
Same author

Identification of Performance Variables in Blind 5-A-Side Football: Physical Fitness, Physiological Responses, Technical-Tactical Actions and Recovery Variables: A Systematic Review.

Sports (Basel, Switzerland)·2026
Same author

Beyond PlayerLoad: Detection of Critical Moments and Injury Risk in Elite Women's Futsal.

Sports (Basel, Switzerland)·2026
Same author

Physical Workload Patterns in U-18 Basketball Using LPS and MEMS Data: A Principal Component Analysis by Quarter and Playing Position.

Sensors (Basel, Switzerland)·2025
Same author

Validation of the WIMU PRO<sup>TM</sup> Device for Jump Detection in Beach Volleyball: A Gender-Based Analysis during Official Competitions.

Journal of human kinetics·2025

Related Experiment Video

Updated: May 4, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

Segmental External Load in Linear Running in Elite Futsal Players: A Multifactorial and Individual Variability

Diego Hernán Villarejo-García1, Carlos Navarro-Martínez1, José Pino-Ortega1

  • 1Faculty of Sport Science, University of Murcia, 30100 Murcia, Spain.

Sports (Basel, Switzerland)
|August 27, 2025
PubMed
Summary

External load distribution varies across body segments in elite female futsal players during running. Speed and training intensity significantly impact this load, highlighting the need for individualized training to prevent overuse injuries.

Keywords:
external load monitoringfemale athletesfutsalinertial measurement unitslinear runningload distributionsegmental PlayerLoadtraining load

More Related Videos

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
06:36

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

Published on: June 11, 2019

10.8K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.1K

Related Experiment Videos

Last Updated: May 4, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K
Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
06:36

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

Published on: June 11, 2019

10.8K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.1K

Area of Science:

  • Sports Science
  • Biomechanics
  • Exercise Physiology

Background:

  • Limited understanding of segmental external load distribution during linear running.
  • Need to explore variations with speed, training intensity, and individual differences.

Purpose of the Study:

  • To examine the external load profile across six body segments in elite female futsal players during linear treadmill running.
  • To investigate the effects of speed and training zone on segmental load.
  • To assess individual variability in load distribution.

Main Methods:

  • Eight elite female futsal players participated.
  • Linear treadmill running with an incremental test protocol.
  • Six WIMU PRO™ inertial sensors used to record segmental PlayerLoad, speed, and training zones.
  • Linear Mixed Models applied for data analysis.

Main Results:

  • Significant interactions found between body location and speed (p < 0.001).
  • Significant interactions observed between body location and training zone (p < 0.001).
  • Intraclass correlation coefficients (ICC) ranged from 0.437 to 0.515, indicating player variability.

Conclusions:

  • Elite female futsal players exhibit specific and asymmetrical segmental load patterns during linear running.
  • Individual variability in load distribution exists among players.
  • Findings support the development of individualized training strategies to optimize performance and mitigate overuse injuries.