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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

32
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
32

You might also read

Related Articles

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

Sort by
Same author

Defining a ketone threshold for weight loss: evidence from 14 day daily β-hydroxybutyrate monitoring in 217 subjects on a ketogenic diet.

Nutrition & diabetes·2026
Same author

What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.

Reviews in endocrine & metabolic disorders·2026
Same author

Multilevel Analysis of Body Composition in Elite and Sub-Elite Female Volleyball Players: Structural and Potentially Modifiable Characteristics.

Sports (Basel, Switzerland)·2026
Same author

Ketogenic Diets and Low Carb Diets: The Effects on the Intestinal Microbiota. A Narrative Review.

Nutrition reviews·2026
Same author

Comparable blood pressure reductions after indoor and outdoor walking exercise.

Biology of sport·2026
Same author

Current application and future directions for the sarcopenic obesity Global Leadership Initiative (SOGLI) diagnostic algorithm.

Clinical nutrition (Edinburgh, Scotland)·2026

Related Experiment Video

Updated: Jun 12, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.2K

Anthropometric-based predictive equations developed with multi-component models for estimating body composition in

Sofia Serafini1, Davide Charrier2, Pascal Izzicupo1

  • 1Department of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.

European Journal of Applied Physiology
|December 6, 2024
PubMed
Summary

This review compiles anthropometric equations for estimating body composition in athletes. It highlights the need for sport-specific models to accurately assess fat mass and lean mass in athletic populations.

Keywords:
AnthropometryFat massFat-free massGirthsSkeletal muscle massSkinfolds

More Related Videos

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.4K
Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
07:44

Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass

Published on: July 14, 2023

1.1K

Related Experiment Videos

Last Updated: Jun 12, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.2K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.4K
Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
07:44

Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass

Published on: July 14, 2023

1.1K

Area of Science:

  • Sports Science
  • Human Physiology
  • Biostatistics

Background:

  • Body composition estimation relies on population-specific anthropometric regression models.
  • Selecting valid predictive equations for athletes is challenging due to widespread availability.
  • Multicomponent models are crucial for accurate body mass assessment.

Purpose of the Study:

  • To systematically review anthropometric-based predictive equations for estimating body mass components in athletes.
  • To focus on equations developed using multicomponent models (≥3 components).
  • To identify validated equations for diverse athletic populations.

Main Methods:

  • Systematic literature search of PubMed and Scopus databases (2000-2024).
  • Inclusion of 29 studies developing predictive equations for athletes.
  • Exclusion of studies with substandard methods or non-athletic populations.

Main Results:

  • Identified 40 anthropometric equations from 29 studies.
  • Equations were developed for fat mass (26), fat-free mass (10), and muscle/tissue components (4).
  • Equations covered various sports including soccer, handball, rugby, and individual sports, with 13 for mixed athletes.

Conclusions:

  • Presented high-standard anthropometric equations for athlete body composition assessment.
  • Emphasizes the importance of sport-specific equations.
  • Encourages development of new equations for underrepresented sports.