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Pregled bibliografske jedinice broj: 1065138

Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations


Kolić, Andrea; Jerković, Ivan; Anđelinović, Šimun
Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations // ST-OPEN, 1 (2020), 1-11 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1065138 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations

Autori
Kolić, Andrea ; Jerković, Ivan ; Anđelinović, Šimun

Izvornik
ST-OPEN (2718-3734) 1 (2020); 1-11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
hand impression ; sex estimation ; crime scene investigation ; forensic science

Sažetak
Aim: To test if handprint measurements show sexual dimorphism in the Croatian population, and to develop population-specific sex estimation standards. Methods: A cross-sectional study was conducted on 100 adult volunteers from a Croatian population (50 males and 50 females) aged between 20 and 45 years. Using a fingerprint ink, we collected handprints of both hands on a paper sheet. We scanned handprints and took 13 measurements. Bilateral asymmetry and sexual dimorphism of the measurements was analyzed and sex estimation models were developed using linear discriminant analysis. Results: All measurements exhibited statistically significant sexual dimorphism (P<0.001). Univariate discriminant functions provided sexing accuracy from 75% to 92%. The highest accuracy rate (92%) and the lowest sexing bias (0%) was obtained using the handprint breadth. A multivariate discriminant function could estimate sex with 93% accuracy, but with more pronounced sexing bias (10%). Conclusion: We showed that handprint measurements could be used for sex estimation in the Croatian population with a high accuracy level. Therefore, they could serve as a valuable tool for biological profiling of perpetrators in criminal investigations when other evidence is not conclusive.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Sigurnosne i obrambene znanosti



POVEZANOST RADA


Ustanove:
KBC Split,
Medicinski fakultet, Split,
Sveučilište u Splitu Sveučilišni odjel za forenzične znanosti

Profili:

Avatar Url Šimun Anđelinović (autor)

Avatar Url Ivan Jerković (autor)

Poveznice na cjeloviti tekst rada:

st-open.unist.hr

Citiraj ovu publikaciju:

Kolić, Andrea; Jerković, Ivan; Anđelinović, Šimun
Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations // ST-OPEN, 1 (2020), 1-11 (međunarodna recenzija, članak, znanstveni)
Kolić, A., Jerković, I. & Anđelinović, Š. (2020) Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations. ST-OPEN, 1, 1-11.
@article{article, author = {Koli\'{c}, Andrea and Jerkovi\'{c}, Ivan and An\djelinovi\'{c}, \v{S}imun}, year = {2020}, pages = {1-11}, keywords = {hand impression, sex estimation, crime scene investigation, forensic science}, journal = {ST-OPEN}, volume = {1}, issn = {2718-3734}, title = {Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations}, keyword = {hand impression, sex estimation, crime scene investigation, forensic science} }
@article{article, author = {Koli\'{c}, Andrea and Jerkovi\'{c}, Ivan and An\djelinovi\'{c}, \v{S}imun}, year = {2020}, pages = {1-11}, keywords = {hand impression, sex estimation, crime scene investigation, forensic science}, journal = {ST-OPEN}, volume = {1}, issn = {2718-3734}, title = {Sex estimation from handprints in a Croatian population sample: developing a tool for sex identification in criminal investigations}, keyword = {hand impression, sex estimation, crime scene investigation, forensic science} }




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