Correlation of Selected Anthropometric Characteristics of Infants: A Forensic Perspective in North Central Nigeria
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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.
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References
Alichie, B.O. (2015). Baby dumping and evolving baby factories in Nigeria: their imprlication for child right and social protection. Journal of Religion and Human Relations, 7, 29-43.
Cordeiro, I., & Tanaka, M. (2020). Environmental Oxygen is a Key Modulator of Development and Evolution: From Molecules to Ecology. BioEssays, 42, 1-11. https://doi.org/10.1002/bies.202000025.
Elshibly, E. M., & Schmalisch, G. (2008). Correlation between anthropometric measures and birth weight of infants: value in measuring actual birth weight. American Journal of Perinatology, 25, 135-139.
Fletcher, M.A. (1998). Physical diagnosis in neonatology. Philadelphia: Lippincott-Raven.
Gul, H., Nizami, S.M. & Khan, M.A. (2020). Estimation of body stature using percutaneous length of ulna of an individual. Cureus, 12, 1-6.
Nur, M., Azis, N., Tjipta, G. D., & Aldy, D. (2001). Correlation between several anthropometric measurements to birth weight. Pediatrica Indonesiana, 41, 288-291.
Ogunranti, J.O. (1986). Weight of contemporary Nigerian growing children in clinical anthropology. Journal of Tropical Pediatrics, 32, 218-224.
Sasanow, S.R., Georgieff, M.K. & Pereira, G.R. (1986). Mid-arm circumference / head circumference ratio: standard curves for anthropometric assessment of neonatal nutritional status. Journal of Pediatrics, 109, 311-315.
Shobha, PravinKumar, N.K., Pragnya, R. & Vijayakumar, B.J. (2019). Estimation of stature from radiological length of femur among south Indian adult population. International Journal of Contemporary Medical Research, 6, G1-G4.
Soni, P., & Kanchan, K. (2017). Correlation of birth weight with other parameters of newborns in Himachal Pradesh. International Journal of Current Research and Review, 9, 49-54.
Tseng, M., & O’Connor, M. (2015). Predators modify the evolutionary response of prey to temperature change. Biology Letters, 11, 20150798. https://doi.org/10.1098/rsbl.2015.0798.
Ukoha, U.U., Okeke, C.M., Ukoha, C., Ekezie, J. & Onyenankeya, K.R. (2019). Estimation of stature using the clavicular length of adults in south-eastern Nigeria. National Journal of Medical Research, 9, 141-144.




















