Lean body mass: The development and validation of prediction equations in healthy adults

35Citations
Citations of this article
119Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: There is a loss of lean body mass (LBM) with increasing age. A low LBM has been associated with increased adverse effects from prescribed medications such as chemotherapy. Accurate assessment of LBM may allow for more accurate drug prescribing. The aims of this study were to develop new prediction equations (PEs) for LBM with anthropometric and biochemical variables from a development cohort and then validate the best performing PEs in validation cohorts. Methods: PEs were developed in a cohort of 188 healthy subjects and then validated in a convenience cohort of 52 healthy subjects. The best performing anthropometric PE was then compared to published anthropometric PEs in an older (age ≥ 50 years) cohort of 2287 people. Best subset regression analysis was used to derive PEs. Correlation, Bland-Altman and Sheiner & Beal methods were used to validate and compare the PEs against dual X-ray absorptiometry (DXA)-derived LBM. Results: The PE which included biochemistry variables performed only marginally better than the anthropometric PE. The anthropometric PE on average over-estimated LBM by 0.74 kg in the combined cohort. Across gender (male vs. female), body mass index (< 22, 22- < 27, 27- < 30 and ≥30 kg/m2) and age groups (50-64, 65-79 and ≥80 years), the maximum mean over-estimation of the anthropometric PE was 1.36 kg. Conclusions: A new anthropometric PE has been developed that offers an alternative for clinicians when access to DXA is limited. Further research is required to determine the clinical utility and if it will improve the safety of medication use.

References Powered by Scopus

Sarcopenia: European consensus on definition and diagnosis

9202Citations
N/AReaders
Get full text

Measuring agreement in method comparison studies

7611Citations
N/AReaders
Get full text

A concordance correlation coefficient to evaluate reproducibility

6874Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Animal protein versus plant protein in supporting lean mass and muscle strength: A systematic review and meta-analysis of randomized controlled trials

80Citations
N/AReaders
Get full text

Dual energy X-ray absorptiometry (DXA) reliability and intraobserver reproducibility for segmental body composition measuring

39Citations
N/AReaders
Get full text

Epicardial adipose tissue thickness is associated with reduced peak oxygen consumption and systolic reserve in patients with type 2 diabetes and normal heart function

23Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Yu, S., Visvanathan, T., Field, J., Ward, L. C., Chapman, I., Adams, R., … Visvanathan, R. (2013). Lean body mass: The development and validation of prediction equations in healthy adults. BMC Pharmacology and Toxicology, 14(1). https://doi.org/10.1186/2050-6511-14-53

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 42

74%

Researcher 7

12%

Professor / Associate Prof. 6

11%

Lecturer / Post doc 2

4%

Readers' Discipline

Tooltip

Medicine and Dentistry 38

61%

Nursing and Health Professions 10

16%

Sports and Recreations 10

16%

Biochemistry, Genetics and Molecular Bi... 4

6%

Article Metrics

Tooltip
Mentions
References: 3

Save time finding and organizing research with Mendeley

Sign up for free