Morphometric research and sex estimation of lumbar vertebrae in a contemporary Spanish population

• Published in: Forensic science, medicine, and pathology medicine, and pathology, 2020-06, Vol.16 (2), p.216-225
• Main Authors: Azofra-Monge, Alba, Alemán Aguilera, Inmaculada
• Format: Article
• Language: English
• Subjects: Adult; Aged; Aged, 80 and over; Criminology and Criminal Justice; Discriminant Analysis; Female; Forensic Anthropology - methods; Forensic Medicine; Humans; Logistic Models; Lumbar Vertebrae - anatomy & histology; Male; Medicine; Medicine & Public Health; Middle Aged; Original Article; Pathology; Sex Characteristics; Sex Determination by Skeleton - methods; Young Adult
• ISSN: 1547-769X; 1556-2891
• DOI: 10.1007/s12024-020-00231-6

In the identification and reconstruction of the biological profile of skeletal remains in physical and forensic anthropology, sex estimation is a fundamental step, and is essential to achieve methods that allow the highest allocation accuracy. This study proposes a method to estimate the sex of skeletal remains using lumbar vertebrae. A total of 33 linear measurements for each lumbar vertebra were taken in 94 identified, contemporary, and adult skeletal remains (46 male and 48 female) from the cemetery of San José in Granada. The sexual dimorphism of each variable was analyzed, an intra- and interobserver error analysis was developed to assess the variables with best concordance, and the discriminant equations were obtained through a binary logistic regression analysis. All lumbar vertebrae show statistically significant sexual dimorphism with higher values in males than in females. Equations with an allocation accuracy of between 80% and 94.5% were obtained, showing that the lumbar vertebrae are a useful alternative for sex estimation when other skeletal elements are not well-preserved or available. The differences of biogeographic history between populations could translate into morphometric differences, which means that it is not advisable to use discriminant equations in a universal way. In spite of the high allocation accuracy of the equations developed, they should be applied in adults from populations similar to the present study to obtain reliable results of sexual estimation, until its validation in other populations.