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Hand and handprint measurements in the estimation of stature in a Sri Lankan population / Mediciones de manos y huellas de manos en la estimación de la estatura en una población de Sri Lanka
Nanayakkara, Deepthi; Nawarathna, Lakshika S; Nandasena, Tharanga; Alahakoon, Sandeep; Ariyasinghe, Sajjiv; Arambawatta, Kapila.
  • Nanayakkara, Deepthi; University of Peradeniya. Faculty of Dental Sciences. Department of Basic Sciences. Peradeniya. LK
  • Nawarathna, Lakshika S; University of Peradeniya. Faculty of Science. Department of Statistics and Computer Science. Peradeniya. LK
  • Nandasena, Tharanga; University of Peradeniya. Faculty of Dental Sciences. Department of Basic Sciences. Peradeniya. LK
  • Alahakoon, Sandeep; University of Peradeniya. Faculty of Dental Sciences. Department of Basic Sciences. Peradeniya. LK
  • Ariyasinghe, Sajjiv; University of Peradeniya. Faculty of Dental Sciences. Department of Basic Sciences. Peradeniya. LK
  • Arambawatta, Kapila; University of Peradeniya. Faculty of Dental Sciences. Department of Basic Sciences. Peradeniya. LK
Int. j. morphol ; 39(1): 222-230, feb. 2021. ilus, tab
Article in English | LILACS | ID: biblio-1385295
ABSTRACT

SUMMARY:

The present study was undertaken to generate sex-specific simple and multiple regression models for the estimation of stature using hand and handprint measurements in a Sri Lankan population. The sample comprises 51 males and 66 females in the age range of 20 to 26 years. The stature and eight measurements from each hand and its corresponding print of each subject were collected using standard anthropometric instruments and techniques. All hand and handprint measurements showed significantly positive correlation (p value < 0.05) with the stature in both sexes. Stature prediction accuracy for simple linear regression equations ranged from ±4.41-5.92 cm and ±4.0- 5.22 cm for the left and right hand measurements in males and females, respectively. The corresponding figures for the left and right handprint measurements were ±4.57-5.95cm and ±4.36-5.52 cm, respectively. The highest stature prediction accuracy was shown by the multiple regression models derived from hand measurements. The stature estimating formulae reported in this study using hand measurements have important application in the identification of unknown human remains, particularly when they are partial, mutilated or dismembered. Similarly, it is envisaged that formulae derived from the handprint measurements will be useful in crime scene investigations.
RESUMEN
RESUMEN El estudio se llevó a cabo para generar modelos de regresión simple y múltiple de acuerdo al sexo, para la estimación de la estatura utilizando medidas de manos y huellas de manos en una población de Sri Lanka. La muestra comprendió 51 hombres y 66 mujeres entre 20 a 26 años de edad. Se analizaron la estatura y ocho medidas de cada mano y su impresión correspondiente de cada sujeto utilizando instrumentos y técnicas antropométricas estándar. Todas las mediciones de manos y las huellas de manos indicaron una correlación significativamente positiva (valor de p <0.05) con la estatura en ambos sexos. La precisión de la predicción de la estatura para las ecuaciones de regresión lineal simple varió de ± 4,41 a 5,92 cm y ± 4,0 a 5,22 cm en las medidas de la mano izquierda y derecha en hombres y mujeres, respectivamente. Las cifras correspondientes para las medidas de la huella de la mano izquierda y derecha fueron ± 4,57-5,95 cm y ± 4,36-5,52 cm, respectivamente. La precisión de predicción de la estatura más alta se mostró mediante los modelos de regresión múltiple derivados de las mediciones manuales. Las fórmulas de estimación de la estatura reportadas en este estudio utilizando medidas manuales tienen una aplicación importante en la identificación de restos humanos desconocidos, particularmente cuando son parciales, o se encuentran mutilados o desmembrados. Además, se prevé que las fórmulas derivadas de las mediciones de huellas de manos serán útiles en las investigaciones criminales.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Body Height / Forensic Anthropology / Hand Type of study: Prognostic study Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int. j. morphol Journal subject: Anatomy Year: 2021 Type: Article Affiliation country: Sri Lanka Institution/Affiliation country: University of Peradeniya/LK

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Full text: Available Index: LILACS (Americas) Main subject: Body Height / Forensic Anthropology / Hand Type of study: Prognostic study Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Int. j. morphol Journal subject: Anatomy Year: 2021 Type: Article Affiliation country: Sri Lanka Institution/Affiliation country: University of Peradeniya/LK