Biological variability in biomechanical engineering research

Significance and meta-analysis of current modeling practices

Douglas Cook, Margaret Julias, Eric Nauman

Research output: Contribution to journalShort survey

Abstract

Biological systems are characterized by high levels of variability, which can affect the results of biomechanical analyses. As a review of this topic, we first surveyed levels of variation in materials relevant to biomechanics, and compared these values to standard engineered materials. As expected, we found significantly higher levels of variation in biological materials. A meta-analysis was then performed based on thorough reviews of 60 research studies from the field of biomechanics to assess the methods and manner in which biological variation is currently handled in our field. The results of our meta-analysis revealed interesting trends in modeling practices, and suggest a need for more biomechanical studies that fully incorporate biological variation in biomechanical models and analyses. Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results. The purpose of this study is to promote the advancement of biomechanics research by encouraging broader treatment of biological variability in biomechanical modeling.

Original languageEnglish (US)
Pages (from-to)1241-1250
Number of pages10
JournalJournal of Biomechanics
Volume47
Issue number6
DOIs
StatePublished - Apr 11 2014

Fingerprint

Biomechanics
Engineering research
Biomechanical Phenomena
Meta-Analysis
Research
Biological systems
Biological materials

Keywords

  • Biological variation
  • Modeling
  • Sensitivity analysis

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Biophysics
  • Biomedical Engineering

Cite this

Biological variability in biomechanical engineering research : Significance and meta-analysis of current modeling practices. / Cook, Douglas; Julias, Margaret; Nauman, Eric.

In: Journal of Biomechanics, Vol. 47, No. 6, 11.04.2014, p. 1241-1250.

Research output: Contribution to journalShort survey

@article{9a1b14abc9164a4b89b98c1e5f7e2623,
title = "Biological variability in biomechanical engineering research: Significance and meta-analysis of current modeling practices",
abstract = "Biological systems are characterized by high levels of variability, which can affect the results of biomechanical analyses. As a review of this topic, we first surveyed levels of variation in materials relevant to biomechanics, and compared these values to standard engineered materials. As expected, we found significantly higher levels of variation in biological materials. A meta-analysis was then performed based on thorough reviews of 60 research studies from the field of biomechanics to assess the methods and manner in which biological variation is currently handled in our field. The results of our meta-analysis revealed interesting trends in modeling practices, and suggest a need for more biomechanical studies that fully incorporate biological variation in biomechanical models and analyses. Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results. The purpose of this study is to promote the advancement of biomechanics research by encouraging broader treatment of biological variability in biomechanical modeling.",
keywords = "Biological variation, Modeling, Sensitivity analysis",
author = "Douglas Cook and Margaret Julias and Eric Nauman",
year = "2014",
month = "4",
day = "11",
doi = "10.1016/j.jbiomech.2014.01.040",
language = "English (US)",
volume = "47",
pages = "1241--1250",
journal = "Journal of Biomechanics",
issn = "0021-9290",
publisher = "Elsevier Limited",
number = "6",

}

TY - JOUR

T1 - Biological variability in biomechanical engineering research

T2 - Significance and meta-analysis of current modeling practices

AU - Cook, Douglas

AU - Julias, Margaret

AU - Nauman, Eric

PY - 2014/4/11

Y1 - 2014/4/11

N2 - Biological systems are characterized by high levels of variability, which can affect the results of biomechanical analyses. As a review of this topic, we first surveyed levels of variation in materials relevant to biomechanics, and compared these values to standard engineered materials. As expected, we found significantly higher levels of variation in biological materials. A meta-analysis was then performed based on thorough reviews of 60 research studies from the field of biomechanics to assess the methods and manner in which biological variation is currently handled in our field. The results of our meta-analysis revealed interesting trends in modeling practices, and suggest a need for more biomechanical studies that fully incorporate biological variation in biomechanical models and analyses. Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results. The purpose of this study is to promote the advancement of biomechanics research by encouraging broader treatment of biological variability in biomechanical modeling.

AB - Biological systems are characterized by high levels of variability, which can affect the results of biomechanical analyses. As a review of this topic, we first surveyed levels of variation in materials relevant to biomechanics, and compared these values to standard engineered materials. As expected, we found significantly higher levels of variation in biological materials. A meta-analysis was then performed based on thorough reviews of 60 research studies from the field of biomechanics to assess the methods and manner in which biological variation is currently handled in our field. The results of our meta-analysis revealed interesting trends in modeling practices, and suggest a need for more biomechanical studies that fully incorporate biological variation in biomechanical models and analyses. Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results. The purpose of this study is to promote the advancement of biomechanics research by encouraging broader treatment of biological variability in biomechanical modeling.

KW - Biological variation

KW - Modeling

KW - Sensitivity analysis

UR - http://www.scopus.com/inward/record.url?scp=84896489412&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896489412&partnerID=8YFLogxK

U2 - 10.1016/j.jbiomech.2014.01.040

DO - 10.1016/j.jbiomech.2014.01.040

M3 - Short survey

VL - 47

SP - 1241

EP - 1250

JO - Journal of Biomechanics

JF - Journal of Biomechanics

SN - 0021-9290

IS - 6

ER -