Sex estimation from handprints in a Croatian population sample
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....
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001108507/Details |
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| Matična publikacija: |
St open 1 (2020) ; str. 1-11 |
| Glavni autori: | Kolić, Andrea (Author), Jerković, Ivan, forenzičar, Anđelinović, Šimun |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.48188/so.1.4 Hrčak |
| LEADER | 02572naa a22003734i 4500 | ||
|---|---|---|---|
| 001 | NSK01001108507 | ||
| 003 | HR-ZaNSK | ||
| 005 | 20210922134816.0 | ||
| 006 | m d | ||
| 007 | cr|||||||||||| | ||
| 008 | 210728s2020 ci ad |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.48188/so.1.4 | |
| 035 | |a (HR-ZaNSK)001108507 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b eng | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 343/344 |2 2011 | |
| 080 | 1 | |a 57 |2 2011 | |
| 100 | 1 | |a Kolić, Andrea |4 aut | |
| 245 | 1 | 0 | |a Sex estimation from handprints in a Croatian population sample |h [Elektronička građa] : |b developing a tool for sex identification in criminal investigations / |c Andrea Kolić, Ivan Jerković, Šimun Anđelinović. |
| 300 | |b Ilustr., graf. prikazi. | ||
| 504 | |a Bibliografija: 25 jed. | ||
| 504 | |a Summary. | ||
| 520 | |a 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. | ||
| 653 | 0 | |a Forenzika |a Kriminalistička vještačenja |a Otisci prstiju |a Hrvatska populacija |a Spol | |
| 700 | 1 | |a Jerković, Ivan, |c forenzičar |4 aut | |
| 700 | 1 | |a Anđelinović, Šimun |4 aut | |
| 773 | 0 | |t St open |x 2718-3734 |g 1 (2020) ; str. 1-11 |w nsk.(HR-ZaNSK)001063654 | |
| 981 | |b Be2020 |b B03/20 | ||
| 998 | |b dalo2109 | ||
| 856 | 4 | 0 | |u https://doi.org/10.48188/so.1.4 |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/244499 |y Hrčak |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |