Fingerprint Patterns in Students with Learning Disability: Evidence of Sexual Dimorphism and Potential for Diagnosis in a Nigerian Population

Author:

Obi Ndubuisi Paris1,Okafor Izuchukwu Azuka123,Okeke Chijioke1

Affiliation:

1. Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Nnamdi Azikiwe University, Nnewi Campus, Nnewi, Nigeria

2. Department of Obstetrics and Gynaecology, College of Medicine, University of Ibadan, Ibadan, Nigeria

3. Department of Reproductive Health Sciences, Pan African University of Life and Earth Science Institute (Including Health and Agriculture), University of Ibadan, Ibadan, Nigeria

Abstract

This study assessed the sex-based relationship and prediction pattern between fingerprint patterns, ridge counts, and learning disability (LD). This cross-sectional study recruited 300 students (150 LD and 150 non-LD) aged between 3 and 29 years. The fingerprint patterns (arch, whorl, ulnar loop, and radial loop) and the ridge count: total finger ridge count (TFRC), absolute ridge count (ARC), ulnar ridge count (URC), and radial ridge count (RRC) were accessed. Students with LD showed a significantly higher whorl and a significantly lower ulnar loop than students without LD. There is a significant association of whorl pattern in the first right finger of subjects with LD compared to non-LD counterparts. TFRC, ARC, and URC were significantly higher in females with LD than non-LD females (P= 0.01, 0.03, and 0.001). Males with LD showed significantly lower TFRC, RRC, and URC counts than the non-LD males (P= 0.02, 0.01, and 0.001). TFRC can predict LD in males (odds ratio [OR] = 1.010,P= 0.032) and females (OR = 0.993,P= 0.012). Fingerprint pattern and ridge counts are sexually dimorphic in subjects with or without LD. TFRC and whorl fingerprint patterns may be vital predictive and screening tools for LD in males and females.

Publisher

Medknow

Subject

Law,Pathology and Forensic Medicine

Reference43 articles.

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