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 Experiment Videos

Use of statistical methods to estimate body composition

S S Guo1, W C Chumlea, D B Cockram

  • 1Department of Community Health, Wright State University School of Medicine, Dayton, OH 45387, USA. Shumei@Desire Wright.EDU

The American Journal of Clinical Nutrition
|September 1, 1996
PubMed
Summary

Accurate body composition prediction for large-scale chronic disease studies relies on bioelectrical impedance analysis (BIA) and anthropometry. Statistical methods improve the precision and accuracy of these portable body composition measures.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to "Responses of intestinal morphology, immunity, antioxidant status and cecal microbiota to the mixture of glycerol monolaurate and cinnamaldehyde in laying hens" [Poultry Science 103 (2024) 103645].

Poultry science·2025
Same author

Magnetic-vortex nanodonuts enhance ferroptosis effect of tumor ablation through an imaging-guided hyperthermia/radiosensitization strategy.

iScience·2024
Same author

Responses of intestinal morphology, immunity, antioxidant status and cecal microbiota to the mixture of glycerol monolaurate and cinnamaldehyde in laying hens.

Poultry science·2024
Same author

Lonicera flos and Cnicus japonicus extracts improved egg quality partly by modulating antioxidant status, inflammatory-related cytokines and shell matrix protein expression of oviduct in laying hens.

Poultry science·2023
Same author

Research Note: Disturbance of intracellular calcium signal in salpingitis simulation of laying hens.

Poultry science·2022
Same author

Effects of salpingitis simulation on the morphology and expression of inflammatory-related genes of oviduct in laying hens.

Poultry science·2022

Area of Science:

  • Epidemiology
  • Human Physiology
  • Biostatistics

Background:

  • Chronic disease research requires large sample sizes for robust epidemiologic investigations.
  • Accurate body composition assessment is crucial for understanding disease etiology.
  • Sophisticated body composition methods are often impractical for large cohorts.

Purpose of the Study:

  • To address statistical challenges in developing body composition prediction equations.
  • To evaluate factors influencing the accuracy and precision of prediction models.
  • To optimize the use of bioelectrical impedance analysis (BIA) and anthropometry in large-scale studies.

Main Methods:

  • Formulation of prediction equations using BIA variables.
  • Inclusion of selected anthropometric characteristics in prediction models.

Related Experiment Videos

  • Statistical analysis of factors affecting equation accuracy and precision.

    • Main Results:

    • Established statistical methodologies for body composition prediction.
    • Identified key factors impacting the reliability of BIA and anthropometric predictions.
    • Demonstrated the utility of these methods for large-scale epidemiologic research.

    Conclusions:

    • Simple, reliable measures like BIA and anthropometry are vital for epidemiologic studies.
    • Statistical considerations are essential for accurate and precise body composition prediction.
    • Optimized prediction equations enhance the feasibility of large cohort body composition analysis.