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Abstract
Several studies have shown that sex determination methods based on measurements of
the skeleton are population specific. Metric traits of the long bones of the arm have
been reported as reliable indicators of sex. This study was designed to determine
whether the three long bones of the arm can be used for sex determination on a skeletal
population from Greece. The material used consists of the arm bones of 204 adult individuals
(111 males and 93 females) coming from the Modern Human Skeletal Collection of the
University of Athens. The age range is 19-96 years for males and 20-99 years for females.
The maximum lengths and epiphyseal widths were measured in the long bones of the arm
(humerus, radius, and ulna). The discriminant analysis of the metrical data of each
long bone gave very high discrimination accuracies. The rate of correct sex discrimination
based on different long bones ranges from 90.30% (ulna) to 95.70% (humerus). In addition,
intra- and inter-observer error tests were performed. These indicated that replication
of measurements was satisfactory for the same observer over time and between observers.
The results of this study show that metric characteristics of the arm bones can be
used for the determination of sex in skeletal remains from Greece and that bone dimensions
are population specific.
A new visual method for the determination of sex using the human hip bone (os coxae) is proposed, based on a revision of several previous approaches which scored isolated characters of this bone. The efficacy of the methodology is tested on a sample of 402 adults of known sex and age of French and Portuguese origins. With the simultaneous use of five characters of the hip bone, it is possible to provide a correct sexual diagnosis in 95% of all cases, with an error of 2% and an inability to identify sex in only 3%. The advantage of this new method is a reduction in observer subjectivity, since the evaluation procedure cannot involve any anticipation of the result. In addition, this method of sex determination increases the probability of a correct diagnosis with isolated fragments of the hip bone, provided that a combination of elements of one character is found to be typically male or female. Copyright 2002 Wiley-Liss, Inc.
The accuracy of sex determinations based on visual assessments of the mental eminence, orbital margin, glabellar area, nuchal area, and mastoid process was tested on a series of 304 skulls of known age and sex from people of European American, African American, and English ancestry as well as on an ancient Native American sample of 156 individuals whose sex could be reliably determined based on pelvic morphology. Ordinal scores of these sexually dimorphic traits were used to compute sex determination discriminant functions. Linear, kth-nearest-neighbor, logistic, and quadratic discriminant analysis models were evaluated based on their capacity to minimize both misclassifications and sex biases in classification errors. Logistic regression discriminant analysis produced the best results: a logistic model containing all five cranial trait scores correctly classified 88% of the modern skulls with a negligible sex bias of 0.1%. Adding age at death, birth year, and population affinity to the model did not appreciably improve its performance. For the ancient Native American sample, the best logistic regression model assigned the correct pelvic sex to 78% of the individuals with a sex bias of only 0.2%. Similar cranial trait frequency distributions were found in same-sex comparisons of the modern African American, European American, and English samples. The sexual dimorphism of these modern people contrasts markedly with that of the ancient Native Americans. Because of such population differences, discriminant functions like those presented in this paper should be used with caution on populations other than those for which they were developed. (c) 2008 Wiley-Liss, Inc.
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