Literature DB >> 30914188

Age and body mass index associations with body segment parameters.

Zachary Merrill1, Subashan Perera2, April Chambers3, Rakié Cham4.   

Abstract

Body segment parameters (BSPs) such as segment mass, center of mass, and radius of gyration are required in many ergonomic tools and biomechanical models to estimate injury risk, and quantify muscle and joint contact forces. Currently, the full effects of age and obesity have not been taken into account when predicting BSPs. The goal of this study is to quantify the impact of body mass index (BMI) and age on BSPs, in order to provide more representative measures necessary for modeling inputs. A whole body dual energy X-ray absorptiometry (DXA) scan was collected for 280 working men and women with a wide range of BMI and aged 21 to 70 years. Established DXA processing methods were used to determine in-vivo estimates of the mass, center of mass, and radius of gyration for the upper arm, forearm, torso, thigh, and shank for males and females. Regression models were used to determine if age and BMI terms, as well as their interactions, were associated with these BSPs. The variability in BSPs explained by BMI alone ranged from 4 to 51%, and age explained an additional 3-19%. Thus, BMI and age are significant correlates of BSPs, and need to be taken into account when predicting certain BSPs in order to obtain accurate and representative results in biomechanical models.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age; Anthropometry; Body mass index; Body segment parameters

Mesh:

Year:  2019        PMID: 30914188     DOI: 10.1016/j.jbiomech.2019.03.016

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Predictive regression modeling of body segment parameters using individual-based anthropometric measurements.

Authors:  Zachary Merrill; Subashan Perera; Rakié Cham
Journal:  J Biomech       Date:  2019-10-08       Impact factor: 2.712

2.  Impact of the seated height to stature ratio on torso segment parameters.

Authors:  Zachary Merrill; Charles Woolley; Rakié Cham
Journal:  Ergonomics       Date:  2020-07-20       Impact factor: 2.778

3.  Inertial biometry from commercial 3D body meshes.

Authors:  Alberto E Minetti; Luca Ruggiero
Journal:  Biol Open       Date:  2022-03-28       Impact factor: 2.422

4.  Comparison of skeletal muscle index-based formula and body surface area-based formula for calculating standard liver volume.

Authors:  Geunhyeok Yang; Shin Hwang; Gi-Won Song; Dong-Hwan Jung
Journal:  Ann Hepatobiliary Pancreat Surg       Date:  2021-05-31
  4 in total

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