Estudio cuantitativo del dimorfismo sexual en restos óseos de la población de Medellín
ABSTRACT: The present study summarizes the description of sexual dimorphism found on metric characteristics in a contemporary sample of skeletons. The burial individual record had data on sex, age, cause of death and birthplace. The metric information corresponding to 44 skull variables, jaw and lon...
- Autores:
-
Rosique Gracia, Javier
Ospina Trejos, Claudia
Gallego Muñoz, Paula Andrea
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2004
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- spa
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/9662
- Acceso en línea:
- http://hdl.handle.net/10495/9662
- Palabra clave:
- Diferencias sexuales
Sex differences
Craneometría
Craniometry
Antropometría
Anthropometry
Antropología forense
Forensic anthropology
Determinación del sexo
Sex - cause and determination
Medellín (Antioquia, Colombia)
Restos óseos
Dimorfismo sexual
Morfometría
- Rights
- openAccess
- License
- Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)
Summary: | ABSTRACT: The present study summarizes the description of sexual dimorphism found on metric characteristics in a contemporary sample of skeletons. The burial individual record had data on sex, age, cause of death and birthplace. The metric information corresponding to 44 skull variables, jaw and long bones (humerus, fémur and tibia) was recorded on each subject. The sample consisted of 70 mature individuals of known sex (20 women and 50 males) from a cemetery of the city of Medellín, Colombia. When the statistical comparison between sexes was performed by means of a one-way F test only six of the studied variables were not significant (p > 0.05) to determine sex. In accord with these results, hierarchical list of variables for sex determination aim is proposed. Moreover, it has been conducted a discriminant analysis in order to obtaining prediction equations for sex. Tibia variables yield the highest total percentage of correct classification. They achieved also a higher classification percentage in men that in women, as it is in the qualitative analysis. |
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