Dabhi Dipen, Singi Yatiraj, Nagar Nirmal, Jain Jasmine, Modgil Varun, Rathore Reshma, Chhabra Diksha, Jain Sanchit, Jangid Amit, Krishnagopal S N
Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Bilaspur, Bilaspur, IND.
Forensic Medicine and Toxicology, Dayanand Medical College and Hospital, Ludhiana, IND.
Cureus. 2025 May 25;17(5):e84773. doi: 10.7759/cureus.84773. eCollection 2025 May.
Facial features differ widely among individuals and populations, shaped by a mix of biological and environmental influences. These differences can be observed between groups from various regions and even within communities living in the same area. The Facial Index (FI) is commonly used to compare facial proportions across different populations.
This study aims to estimate the FI, classify facial types based on FI, evaluate sexual dimorphism, and generate reference data on facial morphology. The study also aimed to compare FI values with those of other populations.
A total of 413 individuals participated in the study, comprising 247 (59.8%) male participants and 166 (40.2%) female participants, aged 18-50 years, from the tribal districts of Kinnaur, Lahaul, and Spiti. Facial measurements were recorded using standard anthropometric tools, and the FI was calculated. Data were analyzed using IBM SPSS Statistics software version 27 (IBM Corp., Armonk, NY).
The mean values of morphognomic facial length (MFL), bizygomatic breadth (BZB), and FI were 130.69 ± 8.09 mm, 112.81 ± 9.81 mm, and 116.42 + 9.31, respectively. Male participants exhibited significantly greater facial dimensions in terms of both MFL and BZB compared to female participants, but there was no significant difference in FI. The hyperleptoprosopic facial type was predominant, observed in 386 (93.5%) individuals, followed by 20 (4.8%) leptoprosopic, six (1.5%) mesoprosopic, and one (0.2%) euryprosopic types. Among male participants, 233 (94.3%) were hyperleptoprosopic compared to 153 (92.2%) female participants. The FI did not show a significant correlation with age, height, weight, or body mass index (BMI). However, MFL exhibited weak to moderate positive correlations with age, height, weight, and BMI. BZB also showed weak but statistically significant positive correlations with height and weight.
The hyperleptoprosopic facial type was the most common in both male and female participants, with the FI showing no significant differences between sexes. These findings enhance the anthropometric characterization of this indigenous population, providing important reference data that can be applied in forensic investigations, anthropological studies, and clinical assessments.
面部特征在个体和人群中差异很大,受生物和环境影响的综合作用。这些差异可以在来自不同地区的群体之间甚至在生活在同一地区的社区内部观察到。面部指数(FI)通常用于比较不同人群的面部比例。
本研究旨在估计面部指数,根据面部指数对面部类型进行分类,评估性别二态性,并生成面部形态学的参考数据。该研究还旨在将面部指数值与其他人群的进行比较。
共有413人参与了该研究,其中包括247名(59.8%)男性参与者和166名(40.2%)女性参与者,年龄在18至50岁之间,来自金瑙尔、拉胡尔和斯皮提的部落地区。使用标准人体测量工具记录面部测量数据,并计算面部指数。使用IBM SPSS Statistics软件版本27(IBM公司,纽约州阿蒙克)进行数据分析。
形态学面部长度(MFL)、颧宽(BZB)和面部指数的平均值分别为130.69±8.09毫米、112.81±9.81毫米和116.42 + 9.31。与女性参与者相比,男性参与者在MFL和BZB方面的面部尺寸明显更大,但面部指数没有显著差异。超狭长脸面部类型占主导,在386名(93.5%)个体中观察到,其次是20名(4.8%)狭长脸、6名(1.5%)中脸和1名(0.2%)宽脸类型。在男性参与者中,233名(94.3%)是超狭长脸,而女性参与者中有153名(92.2%)。面部指数与年龄、身高、体重或体重指数(BMI)没有显著相关性。然而,MFL与年龄、身高、体重和BMI呈弱至中度正相关。BZB与身高和体重也呈弱但具有统计学意义的正相关。
超狭长脸面部类型在男性和女性参与者中最为常见,面部指数在性别之间没有显著差异。这些发现增强了对这一土著人群的人体测量特征描述,提供了可应用于法医调查、人类学研究和临床评估的重要参考数据。