Literature DB >> 15013501

Anthropometric parameters in children: a comparison of values obtained from dual energy x-ray absorptiometry and cadaver-based estimates.

Kathleen J Ganley1, Christopher M Powers.   

Abstract

Anthropometric data used in gait analysis for children are often estimated from older adult cadavers. The extent to which these estimates accurately represent children or affect the calculation of net joint moments during gait analysis is unknown. The purpose of this study was: (1) to compare dual energy X-ray absorptiometry (DXA)-derived anthropometric parameters to cadaver-based estimates in children, and (2) to determine if DXA-derived anthropometric data alter the results of gait analyses in children. Using DXA, the mass, center of mass location, and moment of inertia of the foot, shank, and thigh were obtained from 7 to 13 year-old children (n=50) and compared to cadaver-based estimates. Additionally, lower extremity net joint moments were calculated (inverse dynamics equations) for three children during gait using (a) DXA-derived, and (b) cadaver-based estimates of anthropometric parameters. Statistically significant differences were identified for most DXA-derived and cadaver-based anthropometric values. However, based on gait analysis of three children, it is likely that the differences between DXA-derived and cadaver-based anthropometric estimates would have a negligible effect on the calculation of net joint moments during gait in 7-13 year-old children.

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Year:  2004        PMID: 15013501     DOI: 10.1016/S0966-6362(03)00038-9

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  12 in total

1.  Segmental Musculoskeletal Examinations using Dual-Energy X-Ray Absorptiometry (DXA): Positioning and Analysis Considerations.

Authors:  Nicolas H Hart; Sophia Nimphius; Tania Spiteri; Jodie L Cochrane; Robert U Newton
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  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

3.  Risk and injury severity of obese child passengers in motor vehicle crashes.

Authors:  Jong-Eun Kim; Min-Heng Hsieh; Phillip C Shum; R Shane Tubbs; David B Allison
Journal:  Obesity (Silver Spring)       Date:  2015-02-03       Impact factor: 5.002

4.  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

5.  Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods.

Authors:  Marcel Rossi; Andrew Lyttle; Amar El-Sallam; Nat Benjanuvatra; Brian Blanksby
Journal:  J Sports Sci Med       Date:  2013-12-01       Impact factor: 2.988

Review 6.  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

7.  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

8.  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

9.  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

10.  Childhood obesity as a risk factor for bone fracture: a mechanistic study.

Authors:  Jong-Eun Kim; Min-Heng Hsieh; Bharat K Soni; Majd Zayzafoon; David B Allison
Journal:  Obesity (Silver Spring)       Date:  2013-05-29       Impact factor: 5.002

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