Population-specific stature estimation from long bones in the early medieval Pohansko (Czech Republic)
Abstract
Objectives:We tested the effect of population-specific linear body proportions on stature estimation. Materials and Methods:We used a skeletal sample of 31 males and 20 females from the Early Medieval site at Pohansko (Beclav, Central Europe) and a comparative Central European Early Medieval sample of 45 males and 28 females.
We developed new population-specific equations for the Pohansko sample using anatomical reconstructions of stature, then compared percentage prediction errors (%PEs) of anatomical stature from limb bone lengths using the derived Pohansko equations with those previously derived from more general European and other Early Medieval samples. Results:Among general European equations, the lowest %PEs for the Pohansko sample were obtained using the equations of Formicola and Franceschi: Am J Phys Anthropol 100 (1996) 83-88 and Ruff et al.: Am J Phys Anthropol 148 (2012) 601-617.
However, unexpectedly, the choice between tibial latitudinal variants proposed by Ruff et al.: Am J Phys Anthropol 148 (2012) 601-617 appeared to be sex-specific, with northern and southern variants producing lower %PEs for males and females, respectively. Equations from Breitinger: Anthropol Anz 14 (1937) 249-274, Bach: Anthropol Anz 29 (1965) 12-21, and SjOvold: Hum Evol 5 (1990) 431-447 provided poor agreement with anatomical stature.
When applied to the comparative Central European Early Medieval sample, our new formulae have generally lower %PE than previously derived formulae based on other European Early Medieval samples (Maijanen and Niskanen: Int J Osteoarchaeol 20 (2010) 472-480; Vercellotti et al.: Am J Phys Anthropol 140 (2009) 135-142. Conclusions:The best agreement with anatomical stature among our newly developed equations was obtained using femoral+tibial length, followed by femoral length.
Upper limb bone lengths resulted in higher %PEs. Variation in the tibia is likely to contribute most to potential bias in stature estimation.