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

Obesity01:24

Obesity

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 adipocytes...

You might also read

Related Articles

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

Sort by
Same author

A qualitative analysis of cancer patients' views on facilitators and barriers for the implementation of oncological exercise therapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026
Same author

Anthropometric traits, metabolic biomarkers, and pancreatic cancer risk: a causal mediation analysis in UK Biobank.

British journal of cancer·2026
Same author

Mindfulness and sustainable diets: a meta-analysis and CO<sub>2</sub> emission savings scenarios.

Nutrition journal·2026
Same author

Post-diagnosis physical activity in relation to mortality among gynecological cancer survivors.

Cancer causes & control : CCC·2026
Same author

Understanding health literacy within the nexus of environmental, planetary, and one health: Mapping the evidence via bibliometric content analysis.

The journal of climate change and health·2026
Same author

A multi-center cross-sectional study to explore cancer patients' views on facilitators and barriers for the implementation of oncological exercise therapy.

Frontiers in oncology·2026

Related Experiment Video

Updated: Jul 12, 2026

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

Association Between Fat-Free Mass and Mortality: A Systematic Review and Meta-Analysis.

Valerie L Haas1, Patricia Fromherz1,2, Carmen Jochem1,3

  • 1Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.

Journal of Cachexia, Sarcopenia and Muscle
|July 10, 2026
PubMed
Summary

Low fat-free mass (FFMI) is linked to a 42% increased risk of all-cause mortality in adults. Assessing FFMI can help identify individuals at higher risk and guide preventive care strategies.

Keywords:
body compositionbody fat distributionleannessmeta‐analysismortality

More Related Videos

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle
09:40

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle

Published on: January 19, 2017

Related Experiment Videos

Last Updated: Jul 12, 2026

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

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle
09:40

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle

Published on: January 19, 2017

Area of Science:

  • Body composition research
  • Gerontology
  • Public health

Background:

  • Body composition significantly impacts health.
  • The specific role of fat-free mass (FFM) in mortality risk is not well-established.
  • Understanding FFM's impact is crucial for health assessment.

Purpose of the Study:

  • To systematically review and meta-analyze observational studies on the association between fat-free mass and mortality in community-dwelling adults.
  • To quantify the risk of all-cause mortality associated with low fat-free mass.

Main Methods:

  • A PRISMA-guided systematic review and meta-analysis of 49 observational cohort studies (1,149,807 participants).
  • Fat-free mass was assessed using methods including CT, DXA, BIA, and anthropometry.
  • Random-effects models were used to pool maximally adjusted risk ratios (RRs) and 95% confidence intervals (CIs).

Main Results:

  • Low fat-free mass was associated with a 42% higher risk of all-cause mortality (RR: 1.42, 95% CI: 1.30-1.55).
  • Publication bias was detected, but sensitivity analyses confirmed the robustness of the findings (E-value: 2.19).
  • The association varied by sex and measurement method, with calf circumference showing the strongest association.

Conclusions:

  • Low fat-free mass is a significant predictor of increased all-cause mortality in community-dwelling adults.
  • Routine assessment of fat-free mass can aid in identifying at-risk individuals.
  • FFM assessment can inform preventive healthcare strategies and improve health outcomes.