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Prevalence of different facial shape in chennai population
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| Author:
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HARIPRIYA.R , NIVETHIGAA.B
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| Abstract:
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The human body dimensions are affected by ecological, biological, geographical, racial, sex and age factors.
Craniofacial analysis can be considered to be one of the important tools for determination of morphological
characteristics of head and face. The facial dimension plays an important role in orthodontic diagnosis. Facial
indices are among the most important cephalometric parameters useful in inter-racial and intra-racial
morphological classification and categorization. The human face is widely recognized as the feature which best
distinguishes a person. It includes the anterior part of the head comprising forehead, eyes, nose, mouth and chin
and it extends from chin to hairline. The facial type classification can be used to differentiate skeletal from dental
malocclusion, to evaluate physiologic differences, to explain variation in facial esthetics, to describe racial
differences in facial proportions, to study hereditary transmission and to predict facial growth. The facial type
of an individual is influenced by ethnicity, race, sex, genetic, socio economic and nutritional factors. The present
study was a retrospective cross - sectional study. The study was approved by the Institutional Ethics Board. The
samples were considered from the patients who checked in the clinic from June 2019 to March 2020. After
excluding invalid and duplicate records, a total of 566 patients were taken into consideration and analysed for
facial type. The data collection was done and tabulated. The results were analysed and chi square test and
pearson correlation was done using SPSS software by IBM (version 26). The results observed were that
mesoprosopic was the most prevalent facial type in Chennai population (56%) followed by euryprosopic (39%)
and the least prevalent facial type was leptoprosopic (3%) The results of the study showed mesoprosopic was
the most prevalent facial type in Chennai population. There was no statistical significance in prevalence of facial
type in association with gender. (p value = 0.956). These results vary with various factors like geographic location,
ethnicity, norms, socio-economic status, etc.
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| Keyword:
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Facial shape; gender; prevalence; population; facial index
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.01.211
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| Download:
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