Anthropometric study of the scapula in a contemporary population from granada. Sex estimation and glenohumeral osteoarthritis prevalence
Metadatos
Mostrar el registro completo del ítemAutor
Garzón Alfaro, Adoración; Botella López, Miguel Cecilio; Rus Carlborg, Guillermo; Prados Olleta, Nicolás; González Ramírez, Amanda Rocío; Hernández Cortés, Pedro ManuelEditorial
Plos One
Fecha
2024-07-10Referencia bibliográfica
Garzón-Alfaro A, Botella M, Rus Carlborg G, Prados Olleta N, González-Ramírez AR, Hernández-Cortés P (2024) Anthropometric study of the scapula in a contemporary population from granada. Sex estimation and glenohumeral osteoarthritis prevalence. PLoS ONE 19(7): e0305410. https://doi.org/10.1371/journal.pone.0305410
Resumen
Anthropometric studies of the scapula have been rare in Spanish populations, nevertheless
they are of current interest in forensic anthropology for estimation of sex. Although the estimation
of sex is usually carried out on the pelvis and skull, other measurements related to
the scapula can be helpful when the skeletal remains are incomplete. Glenohumeral osteoarthritis
development is influenced, among others, by the morphology of the scapula, which
is one of the less studied aspects. We carried out a descriptive study of anthropometric
parameters in a series of 157 scapulae (82 individuals) on bone remains dated to the 20th
century from a population of Granada (Southern Spain). Seventy seven (49%) were rightside
and 80 (51%) left-side; 72 (45.9%) were from males and 85 (54.1%) from females, and
the mean age at death was 70.76±11.7 years. The objective was to develop a discrimination
function for sex estimation based on anthropometric parameters of the scapula other than
those considered to date, and to analyze the prevalence of glenohumeral osteoarthritis in
relation to selected anthropometric parameters. A logistic regression model based on
parameters of the upper-external segment of the scapula was done. The obtained formula:
1/1+e^ (- (-57.911 + 0.350*B + 0283*C + 0.249*b + 0.166*a +-0.100*β) classifies male sex
with 98.3% accuracy and female sex with 92.1%. Glenohumeral osteoarthritis was detected
in 16.6% of individuals and was related to age (p<0.05), scapular length (p<0.05), glenoid
width (p<0.05), glenopolar angle (p<0.05), and α angle (p<0.05) in bivariate analyses but
showed no significant associations in multivariate analyses. This approach can be useful for
anthropological-forensic identification when scapula remains are incomplete. Glenohumeral
osteoarthritis is significantly associated with a smaller α angle.





