The determination of sex and the estimation of stature from bones play an i
mportant role in identifying unknown bodies, parts of bodies or skeletal re
mains. In medico-legal practice statements on the probable sex of a decompo
sed body or part of a body are often expected even during autopsy. The pres
ent study was, therefore, restricted to few easily accessible dimensions fr
om bones which were prepared only by mechanically removing soft tissues, te
ndons and ligaments. The specimens came from the Anatomical Institutes in M
unich and Cologne from the years 1994-1998 including a total of 143 individ
uals (64 males and 79 females). The mean age was 79 years (46-108), the mea
n body height 161 cm (134-189). The following measurements were taken: maxi
mum humeral length (mean: 33.4 cm in males; 30.7 cm in females), vertical h
umeral head diameter (mean: 5.0 cm in males, 4.4 cm in females), humeral ep
icondylar width (mean: 6.6 cm in males; 5.8 cm in females), maximum ulnar l
ength (mean: 26.5 cm in males, 23.8 cm in females), proximal ulnar width (m
ean: 3.4 cm in males, 2.9 cm in females), distal ulnar width (mean: 2.2 cm
in males; 1.8 cm in females), maximum radial length (mean: 24.6 cm in males
; 22.0 cm in females), radial head diameter (mean: 2.6 cm in males, 2.2 cm
in females) and distal radial width (mean: 3.6 cm in males; 3.2 cm in femal
es). The differences between the means in males and females were significan
t (P < 0.0005). A discriminant analysis was carried out with good results.
A percentage of 94.93% of cases were correctly classified when all measures
of the radius were applied jointly, followed by humerus (93.15%) and ulna
(90.58%). Applied singly, the humeral head diameter allowed the best distin
ction (90.41% correctly grouped cases), followed by the radial length (89.1
3%), the radial head diameter (88.57%) and the humeral epicondylar width (8
8.49%). The linear regression analysis for quantifying the correlation betw
een the bone lengths and the stature led to unsatifactory results with larg
e 95%-confidence intervals for the coefficients and high standard errors of
estimate. <(c)> 2001 Elsevier Science Ireland Ltd. All rights reserved.