Body size estimation of small-bodied humans: Applicability of current methods.

Autor: Kurki HK; Department of Anthropology, University of Victoria, Canada. hkurki@uvic.ca, Ginter JK, Stock JT, Pfeiffer S
Jazyk: angličtina
Zdroj: American journal of physical anthropology [Am J Phys Anthropol] 2010 Feb; Vol. 141 (2), pp. 169-80.
DOI: 10.1002/ajpa.21127
Abstrakt: Body size (stature and mass) estimates are integral to understanding the lifeways of past populations.Body size estimation of an archaeological skeletal sample can be problematic when the body size or proportions of the population are distinctive. One such population is that of the Holocene Later Stone Age (LSA) of southern Africa, in which small stature (mean femoral length = 407 mm, n = 52) and narrow pelves (mean bi-iliac breadth = 210 mm, n = 50) produce a distinctive adult body size/shape, making it difficult to identify appropriate body size estimation methods. Material culture, morphology, and culture history link the Later Stone Age people with the descendant population collectively known as the Khoe-San. Stature estimates based on skeletal "anatomical" linear measures (the Fully method) and on long bone length are compared, along with body mass estimates derived from "morphometric" (bi-iliac breath/stature) and "biomechanical" (femoral head diameter) methods, in a LSA adult skeletal sample (n = 52) from the from coastal and near-coastal regions of South Africa. Indices of sexual dimorphism (ISD) for each method are compared with data from living populations. Fully anatomical stature is most congruent with Olivier's femur + tibia method, although both produce low ISD. McHenry's femoral head body mass formula produces estimates most consistent with the bi-iliac breadth/stature method for the females, although the males display higher degrees of disagreement among methods. These results highlight the need for formulae derived from reference samples from a wider range of body sizes to improve the reliability of existing methods.
(2009 Wiley-Liss, Inc.)
Databáze: MEDLINE
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