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Correlation of Selected Anthropometric Characteristics of Infants: A Forensic Perspective in North Central Nigeria Mosugu O. O.; Okolo S. N.
African Journal of Medicine, Surgery and Public Health Research Vol 2 No 2 (2025): African Journal of Medicine, Surgery and Public Health Research
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajmsphr.v2i2.6065

Abstract

Accurate anthropometric data on infants are critical for forensic investigations involving newborns and young children, particularly in cases related to child identification, welfare, and criminal inquiries. Despite the relevance of such data, there remains a significant gap in forensic anthropometric records for infants in Nigeria. This study aims to address this gap by examining the interrelationships among key anthropometric parameters of infants and exploring their potential forensic applications. A cross-sectional design was employed to collect anthropometric measurements from 570 infants in Jos, Plateau State, Nigeria. Data collection adhered to established ethical protocols, and statistical analysis was performed using the Number Cruncher Statistical System (NCSS/PASS 2019, version 19.0.2, Dawson Edition, USA). Results revealed strong, positive correlations among infant weight, age, mid-upper arm circumference, crown-heel length, foot length, hand length, and head circumference. These findings underscore the consistency and reliability of these parameters in reflecting infant growth patterns and physical development. The study contributes valuable baseline data for forensic science in Nigeria and demonstrates how infant anthropometry can support investigative processes involving missing children, age estimation, and identification in legal or humanitarian contexts. The implications of this research are significant for improving forensic capacity in pediatric and child protection cases, particularly within resource-limited settings.
A Review of Some Recent Advances in the Use of Cheiloscopy and Dermatoglyphics for Forensic Investigations Mosugu O. O.; Otashu K. F.; Salman J. I.; Nsisong S. W.; Alfred A. W.; Ajayi S. O.; Bright C. E.; Jibaniya G. M.; Katchin E. S.; Tongle N. J.
African Journal of Medicine, Surgery and Public Health Research Vol 2 No 3 (2025): African Journal of Medicine, Surgery and Public Health Research
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajmsphr.v2i3.7233

Abstract

The field of forensic investigation has advanced significantly, particularly in developed countries, with new technologies enhancing the reliability of human identification. This review highlights recent innovations in lip printing (cheiloscopy) and fingerprinting (dermatoglyphics), focusing on their application in forensic science. While dermatoglyphics remains a conventional method, cheiloscopy has emerged as a complementary, less conventional tool for investigation and research. Recent developments incorporate artificial intelligence (AI) and machine learning (ML) techniques, which have improved the accuracy and efficiency of forensic analyses. Multimodal biometric systems that integrate cheiloscopy and dermatoglyphics further reduce error rates and increase reliability, offering stronger fraud resistance. Despite these advancements, many developing countries have yet to fully adopt or master AI- and ML-based forensic tools, limiting their application in real-world investigations. The review concludes that integrating these technologies into forensic practice has the potential to significantly improve human identification, though challenges related to accessibility, expertise, and infrastructure must be addressed.
Dermatoglyphic Patterns, 2D:4D Digit Ratio, and Body Mass Index among Tuberculosis Patients: A Hospital-Based Case-Control Study at Infectious Disease Hospital, Kano, Nigeria Salman J. I.; Badamasi M. I.; Mosugu O. O.; Otashu K. F.; Tongle N. J.; Jibaniya G. M.; Alfred A. W.; Izam E. D.; Katchin E. S.; Ajayi S. O.
African Journal of Medicine, Surgery and Public Health Research Vol 2 No 3 (2025): African Journal of Medicine, Surgery and Public Health Research
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajmsphr.v2i3.7480

Abstract

Nigeria ranks highest in Africa and sixth globally in the incidence of newly diagnosed Mycobacterium tuberculosis cases, with over 600,000 new cases reported annually and a mortality rate of 20 per 100,000 population. Emerging evidence suggests that dermatoglyphic patterns, digit ratio (2D:4D), and body mass index (BMI) may serve as potential biomarkers for disease susceptibility. This hospital-based case-control study was conducted at the Infectious Disease Hospital (IDH) in Kano, Nigeria, to compare dermatoglyphic features, digit ratios, and BMI between tuberculosis (TB) patients and healthy controls. A total of 200 participants—comprising 100 confirmed TB patients and 100 age- and sex-matched healthy controls—were recruited through convenience sampling. Fingerprints were digitally captured and classified using Langerberg and Adebisi’s criteria, with ridge counts determined via the Okajima method. Digit lengths were measured using a Vernier caliper, and BMI was calculated following standard anthropometric procedures. Results revealed significantly lower ridge densities in the left index, right ring, right middle, and left little fingers of TB patients compared to controls. TB patients also exhibited reduced radial ridge counts in the left thumb, index, middle, ring, and little fingers, as well as decreased ulnar ridge counts in the right index finger. Among fingerprint patterns—loop, whorl, and arch—the arch pattern occurred with significantly higher frequency bilaterally in TB patients. No statistically significant differences were found in 2D:4D digit ratios between groups. However, BMI values were notably lower in the TB cohort. These findings suggest that specific dermatoglyphic traits and lower BMI may serve as supplementary indicators of susceptibility to tuberculosis. Further large-scale studies are needed to confirm these associations and evaluate their potential in early risk identification.