Literature DB >> 18423648

Changes in segmental inertial properties with age.

Jennifer Muri1, Samantha L Winter, John H Challis.   

Abstract

The purpose of this study was to examine how the limb segment inertial parameters vary across the decades from the 1920s to the 1970s. Sixty-six males participated in this study, ranging in age from 20 to 79 years. Pre-screening ensured that all subjects were healthy. The inertial properties of the segments were determined by modeling each segment as series of geometric solids. A multivariate analysis of variance (ANOVA) revealed statistically significant differences between decade age groups for the upper arm, forearm, shank, and thigh (p<0.01). Subsequent ANOVAs revealed statistically significant differences for all the inertial properties for the upper arm, the center of mass location for the forearm, and segment mass for the thigh. Linear regression lines were fit to the data so that each inertial parameter for each segment could be predicted by subject's age, with the slope of this regression line indicating the trend in the data. These trends were statistically significant for all forearm inertial parameters, thigh mass and longitudinal moment of inertia, and forearm center of mass location. The changes for the thigh, upper arm, and forearm were consistent with the changes, which would accompany a change in muscle mass with aging. Resultant joint moments were computed for a set of gait data using inertial properties reflective of the subjects from the age extremes in the study. The resulting differences in the knee and hip moments, young versus old, were all less than 4.5%.

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Year:  2008        PMID: 18423648     DOI: 10.1016/j.jbiomech.2008.03.002

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


  7 in total

Review 1.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

2.  Inertial properties of equine limb segments.

Authors:  Sandra Nauwelaerts; Whitney A Allen; Jasmine M Lane; Hilary M Clayton
Journal:  J Anat       Date:  2011-02-28       Impact factor: 2.610

3.  A biomechanical model for estimating loads on thoracic and lumbar vertebrae.

Authors:  Sravisht Iyer; Blaine A Christiansen; Benjamin J Roberts; Michael J Valentine; Rajaram K Manoharan; Mary L Bouxsein
Journal:  Clin Biomech (Bristol, Avon)       Date:  2010-07-23       Impact factor: 2.063

4.  Differences in geriatric anthropometric data between DXA-based subject-specific estimates and non-age-specific traditional regression models.

Authors:  April J Chambers; Alison L Sukits; Jean L McCrory; Rakie Cham
Journal:  J Appl Biomech       Date:  2011-08       Impact factor: 1.833

5.  The effect of obesity and gender on body segment parameters in older adults.

Authors:  April J Chambers; Alison L Sukits; Jean L McCrory; Rakié Cham
Journal:  Clin Biomech (Bristol, Avon)       Date:  2009-12-11       Impact factor: 2.063

6.  Anthropometric and biomechanical characteristics of body segments in persons with spinal cord injury.

Authors:  Y Fang; L R Morse; N Nguyen; N G Tsantes; K L Troy
Journal:  J Biomech       Date:  2017-02-03       Impact factor: 2.712

7.  A low-cost three-dimensional laser surface scanning approach for defining body segment parameters.

Authors:  Petros Pandis; Anthony Mj Bull
Journal:  Proc Inst Mech Eng H       Date:  2017-08-17       Impact factor: 1.617

  7 in total

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