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

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 squares (OLS)...
Introduction to the Skeletal System01:20

Introduction to the Skeletal System

The skeletal system is the central framework of the body, consisting of different connective tissues: bones, cartilage, tendons, and ligaments.
Components of the Skeletal System
Bone, or osseous tissue, is a hard connective tissue that forms an internal support structure for the human body. Bones shield vulnerable organs and soft tissue from external forces. For example, the vertebral bones protect and support the spinal cord.
Cartilage, a semi-rigid connective tissue found in regions such as...
Composite Bodies00:55

Composite Bodies

A composite body is a body made up of multiple parts, connected to form a larger, unified object. Each part has its own weight and center of gravity, which must be considered to determine the center of gravity of the composite body. In cases where the density or specific weight is constant, the center of gravity coincides with the centroid.
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
Body Water Content and Fluid Compartments01:19

Body Water Content and Fluid Compartments

Life's biochemical processes occur within aqueous solutions. Solutes are substances that are dissolved within these solutions. The human body contains a variety of solutes, which can differ across various body parts. These can encompass proteins—such as those responsible for clotting and carbohydrate transport—as well as electrolytes. In medicine, an electrolyte is often described as a mineral ion derived from a salt possessing an electric charge. Examples include sodium ions (Na+) and chloride...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...

You might also read

Related Articles

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

Sort by
Same author

Rapid and modular workflows for same-day sequencing-based detection of bloodstream infections and antimicrobial resistance determinants using culture-enriched samples.

Microbiology spectrum·2026
Same author

Daughters-in-law and mothers-in-law in lowland rural Nepal: The balance of power and health outcomes.

Evolution, medicine, and public health·2026
Same author

Experimental evidence of life history trade-offs during ultra-endurance physical activity.

Evolutionary human sciences·2026
Same author

Video gaming, nutrition and metabolic health: friend, foe, or both?

Nutrition & metabolism·2026
Same author

Breast Milk Vitamin C Concentrations and Their Association With Confinement Dietary Practices in the Early Postpartum Period.

Cureus·2026
Same author

Assessment of body fat percentage in Emirati females: a comparative analysis of BIA vs. DXA.

Frontiers in nutrition·2026
Same journal

Associations of red blood cell fatty acids with personality traits: 10-year follow-up in the Kibbutzim Family Study.

The American journal of clinical nutrition·2026
Same journal

Corrigendum to: Vitamin D status and breast cancer in Saudi Arabian women: case-control study [Am J Clin Nutr 98 (2013) 105-110].

The American journal of clinical nutrition·2026
Same journal

High postprandial endotoxemia is associated with recurrence of cardiovascular events in patients with coronary heart disease: from the CORDIOPREV randomized clinical trial.

The American journal of clinical nutrition·2026
Same journal

Reply to Wu et al.: "Nitrate and nitrite food composition database: an update and extensive deep dive".

The American journal of clinical nutrition·2026
Same journal

Reframing Basic Experimental Studies in Humans-Implications for Nutrition Science.

The American journal of clinical nutrition·2026
Same journal

Inconvenient for the investigator but convenient for science: trial registration in The American Journal of Clinical Nutrition.

The American journal of clinical nutrition·2026
See all related articles

Related Experiment Video

Updated: May 17, 2026

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Body-composition reference data for simple and reference techniques and a 4-component model: a new UK reference

Jonathan C K Wells1, Jane E Williams, Sirinuch Chomtho

  • 1Childhood Nutrition Research Centre, University College London Institute of Child Health, London, United Kingdom. jonathan.wells@ucl.ac.uk

The American Journal of Clinical Nutrition
|October 19, 2012
PubMed
Summary
This summary is machine-generated.

This study provides essential body composition reference data for children aged 4-20. These new charts and standard deviation scores (SDSs) will aid clinicians in assessing pediatric body composition accurately.

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Related Experiment Videos

Last Updated: May 17, 2026

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Area of Science:

  • Pediatric Health
  • Body Composition Analysis
  • Clinical Reference Standards

Background:

  • Routine pediatric body composition assessment is recommended but limited by a lack of appropriate techniques and reference data.
  • Existing measurement techniques are improving, but standardized reference data for interpretation remains a critical need.

Purpose of the Study:

  • To establish comprehensive body composition reference data for pediatric populations.
  • To support clinical practice and research by providing interpretable measurement standards.

Main Methods:

  • Utilized a gold standard 4-component model and various widely used methods to measure body composition in a representative sample of British children (aged 4-20 years).
  • Included anthropometric variables, dual-energy X-ray absorptiometry, body density, bioelectrical impedance, and total body water measurements.
  • Calculated 4-component fat and fat-free masses, constructing reference charts and standard deviation scores (SDSs) using the lambda-mu-sigma method for fat-free mass index and fat mass index.

Main Results:

  • Developed body composition growth charts and SDSs for ages 5-20 years based on data from 533 individuals.
  • Demonstrated strong correlations between SDSs from different techniques (≥0.68 for adiposity, ≥0.80 for fat-free mass).

Conclusions:

  • The generated reference data are comprehensive and applicable across various pediatric body composition measurement techniques.
  • These data, combined with technological advancements, are expected to significantly improve the clinical assessment and monitoring of body composition in children.
  • Facilitates more robust body composition measurements in pediatric research studies.