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

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

996
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
996
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

359
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...
359
Obesity01:24

Obesity

1.5K
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
1.5K
Polygenic Traits01:18

Polygenic Traits

58.4K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
58.4K
What is Population Genetics?01:25

What is Population Genetics?

54.0K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
54.0K
Pedigree Analysis01:35

Pedigree Analysis

78.8K
Overview
78.8K

You might also read

Related Articles

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

Sort by
Same author

Inter-tissue relationships of gene expression in liver, muscle and adipose tissue of children with end-stage chronic liver disease.

Journal of pediatric gastroenterology and nutrition·2026
Same author

Population-level interventions for dementia prevention: a systematic review.

The lancet. Healthy longevity·2026
Same author

Genome-Wide and Locus-Level Analyses Reveal Modest, Heterogeneous Genetic Sharing Between Alzheimer's Disease and Myasthenia Gravis.

International journal of molecular sciences·2026
Same author

Development and validation of a dementia risk prediction model for low- and middle-income countries: the 10/66 study.

American journal of epidemiology·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 journal

Nourishing Collaboration: Interdisciplinary Nutrition Education for Health Care Professionals.

The American journal of clinical 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
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

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

2.4K

A population-based approach to define body-composition phenotypes.

Carla M M Prado1, Mario Siervo1, Emily Mire1

  • 1From the Department of Nutrition, Food, and Exercise Sciences, College of Human Sciences, The Florida State University, Tallahassee, FL (CMMP); the Human Nutrition Research Centre, Institute for Ageing and Health (MS), and the Institute of Health and Society (BCMS), Newcastle University, Newcastle, United Kingdom; Pennington Biomedical Research Center, Baton Rouge, LA (EM, SBH, SB, and PTK); the Translational Research Institute for Metabolism and Diabetes, Sanford/Burnham Medical Research Institute at Lake Nona, Orlando, FL (SRS); and the Childhood Nutrition Research Centre, UCL Institute of Child Health, London, United Kingdom (JCKW).

The American Journal of Clinical Nutrition
|April 25, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to define abnormal body composition, like sarcopenic obesity. The findings reveal these conditions are common and vary by sex and BMI, highlighting the need for standardized definitions.

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

11.0K
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

26.7K

Related Experiment Videos

Last Updated: Apr 30, 2026

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

2.4K
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

11.0K
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

26.7K

Area of Science:

  • Human Physiology
  • Body Composition Analysis
  • Obesity Research

Background:

  • Abnormal body compositions, including high adiposity (HA) and low muscle mass (LM), are significant health concerns.
  • The lack of standardized definitions hinders research on prevalence and health impacts, particularly for the combined HA-LM phenotype (sarcopenic obesity).

Purpose of the Study:

  • To propose and validate a novel approach for operationalizing abnormal body-composition phenotypes in a representative adult population.
  • To establish sex- and body mass index (BMI)-specific reference curves for classifying body composition.

Main Methods:

  • Utilized dual-energy X-ray absorptiometry data from 13,236 US adults (1999-2004 NHANES).
  • Developed sex- and BMI-specific decile groups for appendicular skeletal muscle index (ASMI) and fat mass index (FMI).
  • Created a diagnostic framework to classify four phenotypes, including HA-LM, with subclassification into classes I, II, and III.

Main Results:

  • Abnormal body composition phenotypes were prevalent across various ages and BMI categories.
  • The prevalence of high adiposity with low muscle mass (HA-LM) was 10.3% in women and 15.2% in men.
  • Prevalence of HA-LM subclasses was higher in obese men (22.9%) than obese women (14.7%), with Class III more common in obese men (2.3%).

Conclusions:

  • Developed sex- and BMI-specific reference curves to standardize body composition phenotype classification.
  • The new classification framework is valuable for identifying sarcopenic obesity.
  • Further research is needed to confirm the association of these phenotypes with metabolic deregulation and increased disease risk.