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Analysis of dynamic smile and upper lip curvature in young Chinese
During smile evaluation and anterior esthetic construction, the anatomic and racial variations should be considered in order to achieve better matching results. The aims of this study were to validate an objective method for recording spontaneous smile process and to categorize the smile and upper l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3632766/ https://www.ncbi.nlm.nih.gov/pubmed/23558343 http://dx.doi.org/10.1038/ijos.2013.17 |
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author | Liang, Ling-Zhi Hu, Wen-Jie Zhang, Yan-Ling Chung, Kwok-Hung |
author_facet | Liang, Ling-Zhi Hu, Wen-Jie Zhang, Yan-Ling Chung, Kwok-Hung |
author_sort | Liang, Ling-Zhi |
collection | PubMed |
description | During smile evaluation and anterior esthetic construction, the anatomic and racial variations should be considered in order to achieve better matching results. The aims of this study were to validate an objective method for recording spontaneous smile process and to categorize the smile and upper lip curvature of Chinese Han-nationality youth. One hundred and eighty-eight Chinese Han-nationality youths (88 males and 100 females) ranged from 20 to 35 years of age were selected. Spontaneous smiles were elicited by watching comical movies and the dynamics of the spontaneous smile were captured continuously with a digital video camera. All subjects' smiles were categorized into three types: commissure, cuspid and gummy smile based on video editing software and final images. Subjects' upper lip curvatures were also measured and divided into three groups: upward, straight and downward. Reliability analysis was conducted to obtain intra-rater reliabilities on twice measurements. The Pearson Chi-square test was used to compare differences for each parameters (α=0.05). In smile classification, 60.6% commissure smile, 33.5% cuspid smile and 5.9% gummy smile were obtained. In upper lip measurement, 26.1% upward, 39.9% straight and 34.0% downward upper lip curvature were determined. The commissure smile group showed statistically significant higher percentage of straight (46.5%) and upward (40.4%) in upper lip curvatures (P<0.05), while cuspid smile group (65.1%) and gummy smile group (72.7%) showed statistically significant higher frequency in downward upper lip curvature (P<0.05). It is evident that differences in upper lip curvature and smile classification exist based on race, when comparing Chinese subjects with those of Caucasian descent, and gender. |
format | Online Article Text |
id | pubmed-3632766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36327662013-04-23 Analysis of dynamic smile and upper lip curvature in young Chinese Liang, Ling-Zhi Hu, Wen-Jie Zhang, Yan-Ling Chung, Kwok-Hung Int J Oral Sci Original Article During smile evaluation and anterior esthetic construction, the anatomic and racial variations should be considered in order to achieve better matching results. The aims of this study were to validate an objective method for recording spontaneous smile process and to categorize the smile and upper lip curvature of Chinese Han-nationality youth. One hundred and eighty-eight Chinese Han-nationality youths (88 males and 100 females) ranged from 20 to 35 years of age were selected. Spontaneous smiles were elicited by watching comical movies and the dynamics of the spontaneous smile were captured continuously with a digital video camera. All subjects' smiles were categorized into three types: commissure, cuspid and gummy smile based on video editing software and final images. Subjects' upper lip curvatures were also measured and divided into three groups: upward, straight and downward. Reliability analysis was conducted to obtain intra-rater reliabilities on twice measurements. The Pearson Chi-square test was used to compare differences for each parameters (α=0.05). In smile classification, 60.6% commissure smile, 33.5% cuspid smile and 5.9% gummy smile were obtained. In upper lip measurement, 26.1% upward, 39.9% straight and 34.0% downward upper lip curvature were determined. The commissure smile group showed statistically significant higher percentage of straight (46.5%) and upward (40.4%) in upper lip curvatures (P<0.05), while cuspid smile group (65.1%) and gummy smile group (72.7%) showed statistically significant higher frequency in downward upper lip curvature (P<0.05). It is evident that differences in upper lip curvature and smile classification exist based on race, when comparing Chinese subjects with those of Caucasian descent, and gender. Nature Publishing Group 2013-04 2013-04-05 /pmc/articles/PMC3632766/ /pubmed/23558343 http://dx.doi.org/10.1038/ijos.2013.17 Text en Copyright © 2013 West China School of Stomatology http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Liang, Ling-Zhi Hu, Wen-Jie Zhang, Yan-Ling Chung, Kwok-Hung Analysis of dynamic smile and upper lip curvature in young Chinese |
title | Analysis of dynamic smile and upper lip curvature in young Chinese |
title_full | Analysis of dynamic smile and upper lip curvature in young Chinese |
title_fullStr | Analysis of dynamic smile and upper lip curvature in young Chinese |
title_full_unstemmed | Analysis of dynamic smile and upper lip curvature in young Chinese |
title_short | Analysis of dynamic smile and upper lip curvature in young Chinese |
title_sort | analysis of dynamic smile and upper lip curvature in young chinese |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3632766/ https://www.ncbi.nlm.nih.gov/pubmed/23558343 http://dx.doi.org/10.1038/ijos.2013.17 |
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