Exploring Craniofacial Anthropometry in the Ethnic Adult Population of Meghalaya, Northeast India: A Cross-Sectional Study

Author:

Sinha Pranoti1,Chakraborty Suvamoy2,Balakrishnan Manu Coimbatore2,Das Sauradeep2,Banerjee Indranil2

Affiliation:

1. North Eastern Institute of Ayurveda and Homeopathy

2. North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences

Abstract

Abstract Craniofacial anthropometry is important for identity, diagnosis of congenital anomalies etc. The incidence of craniofacial abnormalities is high in the Southeast Asian region. The population of Meghalaya differs in features from other states of Northeast India and the neighbouring East Asia. The objective was to study the craniofacial anthropometric features of the ethnic adults in the Meghalaya state of Northeast India. This cross-sectional study was conducted from 2022 to 2023. Head length (HL), head breadth (HB), Cephalic index (CI), intercanthal distance (ICD), lateral canthal distance (LCD) and ear length (EL) were measured. A total of 104 adults were included. The majority of the individuals belonged to the Khasi community 51 (49%) followed by the Garo community 27 (26%) and the Jaintia community 26 (25%). The mean ± S.D age of the total sample population was 29.5 ± 8.4 years. The mean CI of the total sample population was 79.13 (mesocephalic). No statistically significant difference was noted between male-female CI in the total and subpopulation groups. In our study, the common head types were dolichocephalic (29%), brachycephalic (29%), mesocephalic (21%), hyperbrachycephalic (16%) and ultrabrachycephalic (5%). A statistically significant difference was noted between Khasi and Jaintia in HL, HW, CI, LCD; between Khasi and Garo in HL, ICD, LCD and between Garo and Jaintia in HW, CI, ICD. We believe our conventional craniofacial anthropometry data could add to the pool of regional anthropometry data and be used for future scientific purposes like anthropology, maxillofacial surgeries, designing helmets, forensic analysis and gender differentiation.

Publisher

Research Square Platform LLC

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