Facial Index Among Adolescents and Young Adults of Yoruba Ethnic Groups in Nigeria

Year 2025, Volume: 8 Issue: 2, 45 - 53, 30.08.2025

Suwebat Bidemi Kareem , Ade Stephen Alabi , Olugbenga Akinola , Aminu Imam , Abdulmumini Ibrahim , Kazeem Okesina , Gabriel Omotoso , Moyosore Ajao

https://doi.org/10.56150/tjhsl.1132156

Abstract

Facial Index Among Adolescents and Young Adults of Yoruba Ethnic Groups in Nigeria

Abstract

Facial differences in facial dimension exist in different populations, forming an important source of ethnical and/or racial identification. This study established the baseline measurements of facial anthropometric parameters and facial index of 2,109 unrelated male and female individuals from the Yoruba ethnic population, aged 15–30 years, using a photographic procedure. To annotate the landmarks, digimizer software was used, and 2 linear distances were measured, and a facial index was calculated. Our results on facial index (FI) showed that the commonest type of facial shape among Yoruba males (98.0%) and females (97.9%) was hyperleptoproscopic, and the same is observed across age groups. Also, correlation statistics revealed a weak and significant positive correlation between facial index and biometric parameters such as weight, age, and height, but a weak and significant negative correlation with the BMI. The study concluded that the majority of adolescents and young adults of Yoruba ethnic groups in Nigeria have hyperleptoproscopic (very long) faces, with males having longer faces than females. Clinicians, plastic surgeons, maxillofacial surgeons, and geneticists can use the information from this study to diagnose and treat craniofacial abnormalities.

Keywords

facial morphometric , hyperleptoproscopic , Yoruba

References

• 1.Okwesili, O. R., Obikili, E. N., & Achebe, J. U. Facial index among Igbo children and adolescents in Enugu. Biomedical Research, 30(6), (2019), 845–850.
• 2.Maalman, R. S., Stansie, C., & Darkoa, N. Facial Types and Morphology: A study among Sisaala and Dagaaba adult population in the Upper West Region , Ghana . Facial types and morphology : A study among Sisaala and Dagaaba adult population in the Upper West Region, Ghana. Scientific African, 3, (2019), e00071. https://doi.org/10.1016/j.sciaf.2019.e00071
• 3.Ozioko, O. M., Egwu, O. A., & Ozioko, U. S. Photoanthropometric Auricular Morphology for Identification in Southeast Nigerians. International Journal for Information Security Research, 10(1), (2020a), 924–931.
• 4.Mercan, E., Atmosukarto, I., & Liang, S. Health Monitoring and Personalized Feedback using Multimedia Data. (2015). https://doi.org/10.1007/978-3-319-17963-6
• 5.Mark, B., Philipp E, B., & Angela van, D. Identification of the Single Nucleotide Polymorphisms Affecting Normal Phenotypic Variability in Human Craniofacial Morphology Using Candidate Gene Approach. Journal of Genetics and Genome Research, 5(1), (2018). https://doi.org/10.23937/2378-3648/1410041
• 6.Mostafa, A., Banu, L. A., Rahman, F., & Paul, S. Craniofacial Anthropometric Profile of Adult Bangladeshi Buddhist Chakma Females. (2013), 0–7.
• 7.Yesmin, T., Thwin, S. S., Afrin Urmi, S., Wai, M. M., Zaini, P. F., & Azwan, K. A Study of Facial Index among Malay Population. Journal of Anthropology, (2014), 1–4. https://doi.org/10.1155/2014/726974
• 8.Kumari, K., Babu, P., Kumari, P., & Nagamani, M. A study of cephalic index and facial index in Visakhapatnam, Andhra Pradesh, India. International Journal of Research in Medical Sciences, 3(3), (2015), 656-658. https://doi.org/10.5455/2320-6012.ijrms20150324
• 9.Alvarez-Cubero, M. J., Saiz, M., Martinez-Gonzalez, L. J., Alvarez, J. C., Eisenberg, A. J., Budowle, B., & Lorente, J. A. Genetic identification of missing persons: DNA analysis of human remains and compromised samples. Pathobiology, 79(5), (2012), 228–238.
• 10.Omotoso, D. R., Oludiran, O. O., & Sakpa, C. L. Nasofacial anthropometry of adult Bini tribe in Nigeria. African Journal of Biomedical Research, 14(3), (2011), 219–221.
• 11.Eliakim-ikechukwu, C., Onugh, E., Bassey, T., & Mesembe, O. E. Cephalofacial Indices of the Ibo and Yoruba Ethnic groups in Southern Nigeria. Journal of Biology, Agriculture and Healthcare, 2(11), (2012), 144–148.
• 12.Shetti, V. R., Pai, S. R., Sneha, G. K., Gupta, C., Chethan, P., & Soumya. Study of Prosopic (Facial) Index of Indian and Malaysian Students. International Journal of Morphology, 29(3), (2011), 1018–1021.
• 13.Jahanshahi, M., Golalipour, M. J., & Heidari, K. The effect of ethnicity on facial anthropometry in Northern Iran. Singapore Medical Journal, 49(11), (2008), 940–943.
• 14.Bishara, S. E., Jakobsen, J. R., & Hession, T. J. Soft tissue profile changes from 5 to 45 years of age. (1959), 698–706.
• 15.Ebrahimpour, A., Rahbar, F., Ghasemi, H., Taghian, M., & Pashmaki, M. Evaluation of Facial Anthropometric Index among 15-20 Year Old Individuals in Sari City. Helix, 7(2), (2017), 1083–1087. https://doi.org/10.29042/2017-1083-1087
• 16.Li, Y. L., Zheng, L. Bin, Yu, K. L., Lu, S. H., Zhang, X. H., Li, Y. L., Wang, Y., Xue, H., & Deng, W. Variation of head and facial morphological characteristics with increased age of Han in Southern China. Chinese Science Bulletin, 58(4–5), (2013), 517–524. https://doi.org/10.1007/s11434-012-5644-7
• 17.Didia, B. C., & Dapper, D. V. Facial, nasal, maxillary, mandibular, and oro-facial heights of adult Nigerians. Orient Journal of Medicine, 17(1), (2005), 6306–6311.
• 18.Farkas, L. G., Katic, M. J., Forrest, C. R., Alt, K. W., Bagič, I., Baltadjiev, G., Cunha, E., Čvičelová, M., Davies, S., Erasmus, I., Gillett-Netting, R., Hajniš, K., Kemkes-Grottenthaler, A., Khomyakova, I., Kumi, A., Kgamphe, J. S., Kayo-Daigo, N., Le, T., Malinowski, A., … Yahia, E. International anthropometric study of facial morphology in various ethnic groups/races. Journal of Craniofacial Surgery, 16(4), (2005), 615–646.
• 19.Mahdi E. An investigation on cephalometric parameters in Iranian population. Journal of Developmental Biology and Tissue Engineering, 4(1), (2012), 8–11.
• 20.Cho, H. W., Jin, H. S., & Eom, Y. Bin. A Genome-Wide Association Study of Novel Genetic Variants Associated With Anthropometric Traits in Koreans. Frontiers in Genetics, 12(May), (2021). https://doi.org/10.3389/fgene.2021.669215
• 21.Moshkelgosha, V., Fathinejad, S., Pakizeh, Z., Shamsa, M., & Golkari, A. Photographic Facial Soft Tissue Analysis by Means of Linear and Angular Measurements in an Adolescent Persian Population. The Open Dentistry Journal, 9, (2015), 346–356.
• 22.Hossain, M. G., Saw, A., Ohtsuki, F., Lestrel, P. E., & Kamarul, T. Change in facial shape in two cohorts of Japanese adult female students twenty years apart. Singapore Medical Journal, 52(11), (2011), 818–823.
• 23.Chettri, D. M. N., Sinha, D. P., Chakraborty, D. S., & Jain, D. H. Naso-facial anthropometric study of Female Sikkimese University Students. IOSR Journal of Dental and Medical Sciences, 16(03), (2017), 49–54.
• 24.Omonhinmin, C A. Ethnobotany of Dacryodes edulis (G. Don) H.J. Lam in Southern Nigeria 1: Practices and applications among the Yoruba speaking people. Ethnobotany Research and Applications, 10, (2012), 175–184. https://doi.org/10.17348/era.10.0.175-184
• 25.World Medical Association. Declaration of Helsinki, Ethical Principles for Scientific Requirements and Research Protocols. Bulletin of the World Health Organization, 79(4), (2013), 373.
• 26.Ozioko, O. M., Egwu, O. A., & Ozioko, U. S. Photoanthropometric Auricular Morphology for Identification in Southeast Nigerians Department of Anatomy , Alex Ekwueme Federal University of Ndufu Alike ( FUNAI ) Department of Anatomy , College of Medicine , Enugu State University of Science and Technol. 10(1), (2020b), 924–931.
• 27.Barash, M., Bayer, P., & van Daal, A. Candidate gene scan for Single Nucleotide Polymorphisms involved in the determination of normal variability in human craniofacial morphology. (2016). https://doi.org/10.1101/060814.
• 28.Piquero, A. R., Brame, R., Mazerolle, P., & Haapanen, R. Crime in Emerging Adulthood: Continuity and Change in Criminal Offending. National Criminal Justice Reference Service (NCJRS) (Doc. No:186735). (2001), 13-14.
• 29.Adhikari, K., Fuentes-Guajardo, M., Quinto-Sánchez, M., Mendoza-Revilla, J., Camilo Chacón-Duque, J., Acuña-Alonzo, V., … Ruiz-Linares, A. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nature Communications, 7. (2016), 1–11. https://doi.org/10.1038/ncomms11616