Literature DB >> 30537265

Validation of the Acetabulum As a Skeletal Indicator of Age at Death in Modern European-Americans.

Allysha Powanda Winburn1.   

Abstract

Progressive changes in the acetabulum have been used in modern skeletal age estimation, but they have not been completely understood. If their age correlations are weakened by the influence of factors like physical activity and obesity, acetabular changes should not be used for age estimation. To investigate their utility for aging, the acetabular variables of Rissech et al. (2006) were analyzed in 409 modern European-Americans (Bass Collection, Tennessee). Correlation tests assessed potential associations between acetabular data, osteoarthritis scores (collected per Jurmain, 1990), and documented demographic information (age, body mass index [BMI], metabolic intensity of physical activities). Acetabular changes had statistically significant, positive correlations with osteoarthritis (p < 0.001 in most joints/regions) and age (p < 0.001), indicating their degenerative nature and relevance for age estimation. Acetabular changes showed no associations with BMI or metabolic values, suggesting resistance to obesity and activity effects. These results suggest that acetabular degeneration is a valid skeletal age-at-death indicator.
© 2018 American Academy of Forensic Sciences.

Entities:  

Keywords:  age estimation; arthritis; forensic anthropology; forensic science; obesity; pelvis; physical activity; skeletal degeneration

Mesh:

Year:  2018        PMID: 30537265     DOI: 10.1111/1556-4029.13972

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

1.  Application of the recent SanMillán-Rissech acetabular adult aging method in a North American sample.

Authors:  Marta San-Millán; Carme Rissech; Daniel Turbón
Journal:  Int J Legal Med       Date:  2019-02-07       Impact factor: 2.686

2.  Age estimation based on the acetabulum using global illumination rendering with computed tomography.

Authors:  Meyssa Belghith; Elodie Marchand; Mehdi Ben Khelil; Clotilde Rougé-Maillart; Alain Blum; Laurent Martrille
Journal:  Int J Legal Med       Date:  2021-03-13       Impact factor: 2.686

3.  Adult Skeletal Age-at-Death Estimation through Deep Random Neural Networks: A New Method and Its Computational Analysis.

Authors:  David Navega; Ernesto Costa; Eugénia Cunha
Journal:  Biology (Basel)       Date:  2022-03-30
  3 in total

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