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印度东北部梅加拉亚邦成年族裔人群颅面人体测量学研究:一项横断面研究

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

作者信息

Sinha Pranoti, Chakraborty Suvamoy, Coimbatore Balakrishnan Manu, Das Sauradeep, Banerjee Indranil

机构信息

Department of Anatomy, Jagannath Gupta Institute of Medical Sciences and Research Centre, Kolkata, West Bengal 700137 India.

Department of Otorhinolaryngology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, Meghalaya 793018 India.

出版信息

Indian J Otolaryngol Head Neck Surg. 2024 Oct;76(5):4200-4207. doi: 10.1007/s12070-024-04814-5. Epub 2024 Jul 3.

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 in the ENT OPD. OPD patients of Meghalayan ethnicity were included in the study. 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.

摘要

颅面人体测量学对于身份识别、先天性异常诊断等至关重要。东南亚地区颅面异常的发病率很高。梅加拉亚邦的人口在特征上与印度东北部的其他邦以及邻近的东亚地区有所不同。目的是研究印度东北部梅加拉亚邦成年少数民族的颅面人体测量特征。这项横断面研究于2022年至2023年在耳鼻喉科门诊进行。研究纳入了梅加拉亚邦族裔的门诊患者。测量了头长(HL)、头宽(HB)、头指数(CI)、内眦间距(ICD)、外眦间距(LCD)和耳长(EL)。共纳入104名成年人。大多数个体属于卡西族51人(49%),其次是加罗族27人(26%)和占提亚族26人(25%)。总样本人群的平均年龄±标准差为29.5±8.4岁。总样本人群的平均头指数为79.13(中头型)。在总人群和亚人群组中,男女头指数之间未发现统计学上的显著差异。在我们的研究中,常见的头型为长头型(29%)、短头型(29%)、中头型(21%)、超短头型(16%)和极短头型(5%)。卡西族和占提亚族在头长、头宽、头指数、外眦间距方面;卡西族和加罗族在头长、内眦间距、外眦间距方面;加罗族和占提亚族在头宽、头指数、内眦间距方面存在统计学上的显著差异。我们认为我们的传统颅面人体测量学数据可以补充区域人体测量学数据池,并用于未来的科学目的,如人类学、颌面外科手术、头盔设计、法医分析和性别区分。

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