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INTRODUÇÃO: A análise do sorriso tem permitido uma melhor compreensão da mímica
oro-facial e dos princípios da sua reconstrução nas mais diversas áreas reabilitadoras. O
tecido gengival tem revelado ser um fator crucial na harmonia do sorriso, contudo
poucos estudos quantificam e diferenciam a sua exposição. OBJETIVO: Analisar e
caracterizar a exposição gengival em sorriso social face ao sexo e ao tipo de sorriso
exibido, numa população portuguesa. METODOLOGIA: Recolha padronizada de 178
fotografias digitais, capturadas em 89 indivíduos (43 homens; 46 mulheres), com uma
média de 22 anos de idade. Os indivíduos foram classificados em G1: Sorriso Alto, G2:
Sorriso Baixo e G3: Sorriso em Arco. Através do método quantitativo avaliaram-se as
seguintes variáveis: (1) Altura do filtro; (2) Espessura do lábio superior; (3) Largura do
Sorriso; (4) Altura da gengiva exposta; (5) Altura das comissuras; (6) Exposição da
papila interdentária; (7) Mobilidade do lábio superior. Como tratamento estatístico,
executou-se uma análise descritiva e das distribuições, recorrendo a testes como o t test
de Student, de Mann-Whitney U, de Kruskal-Wallis e ANOVA. Estudou-se a correlação
entre variáveis, utilizando a correlação de Pearson e estudou-se um modelo de
regressão logística preditiva do tipo de sorriso. RESULTADOS: G3 foi o sorriso mais
prevalente da amostra total (36,9%), obtendo-se maior percentagem de mulheres em G2
(N=16; 37,2%) e de homens em G3 (N=17 41,5%). Obteve-se significância estatística
(p-value<0,05) para a altura do filtro, sendo que a média foi mais elevada no homens
(média=15,94; DP=2,50), que nas mulheres (média=14,47; DP=2,138). Encontraram-se
correlações positivas entre as variáveis. O modelo de regressão revela exatidão na
predição em 73,8%, predizendo corretamente os sorrisos de linha baixa em 39,3% dos
casos e os de linha alta em 91,1%. CONCLUSÃO: Existem diferenças significativas
entre homens e mulheres e entre os diferentes tipos de sorriso, quanto à exposição
gengival.
INTRODUCTION: Studying smile characteristics have allowed a better understanding of facial mimic’s and rehabilitation principles on several medical areas. A pleasant gingival shape has revealed to be an important factor to achieve a balanced smile. Despite that, there is no sufficient data that quantifies gingival exposure among different populations. PURPOSE: The aim of this study is to obtain further information about the gingival exposure during social smile, quantifying its differences between gender and smile line. METHODS: 178 standardized photographs were taken in 89 patients’ social smile (43 men; 46 women) with an average age of 22 years old. Groupings of each smile type were made: G1: Low Smile Line; G2: High Smile line; G3: Cupid’s bow Smile Line Quantitative analysis was performed in order to measure the following variables: (1) Philtrum height; (2) Upper Lip Thickness; (3) Smile width; (4) Gingival display; (5) Outer commissure height (6) Papilla Exhibition; (7) Lip Mobility. Statistic analysis was preformed using Student t test, Mann- Whitney U, Kruskal-Wallis and ANOVA. Correlation between variables was performed through Pearson’s correlation and a logistic regression enable to predict gingival exposure was attempted. RESULTS: G3 was the most prevalent of the all population (36,9%). Women’s higher percentage was at G2 (N=16; 37,2%) and men’s was at G3 (N=17 41,5%). Philtrum height was statistical different between men and women, as men presented a higher mean (mean=15,94; SD=2,50) than women (mean=14,47; SD=2,138). Positive correlation was found between variables and the regression model was defined with 73,8% of accuracy as it predicts low smile lines correctly in 39,3% of cases and high smile lines in 91,1% of cases. CONCLUSION: According to gingival exposure there are significant differences between men and women and between different types of smile.
INTRODUCTION: Studying smile characteristics have allowed a better understanding of facial mimic’s and rehabilitation principles on several medical areas. A pleasant gingival shape has revealed to be an important factor to achieve a balanced smile. Despite that, there is no sufficient data that quantifies gingival exposure among different populations. PURPOSE: The aim of this study is to obtain further information about the gingival exposure during social smile, quantifying its differences between gender and smile line. METHODS: 178 standardized photographs were taken in 89 patients’ social smile (43 men; 46 women) with an average age of 22 years old. Groupings of each smile type were made: G1: Low Smile Line; G2: High Smile line; G3: Cupid’s bow Smile Line Quantitative analysis was performed in order to measure the following variables: (1) Philtrum height; (2) Upper Lip Thickness; (3) Smile width; (4) Gingival display; (5) Outer commissure height (6) Papilla Exhibition; (7) Lip Mobility. Statistic analysis was preformed using Student t test, Mann- Whitney U, Kruskal-Wallis and ANOVA. Correlation between variables was performed through Pearson’s correlation and a logistic regression enable to predict gingival exposure was attempted. RESULTS: G3 was the most prevalent of the all population (36,9%). Women’s higher percentage was at G2 (N=16; 37,2%) and men’s was at G3 (N=17 41,5%). Philtrum height was statistical different between men and women, as men presented a higher mean (mean=15,94; SD=2,50) than women (mean=14,47; SD=2,138). Positive correlation was found between variables and the regression model was defined with 73,8% of accuracy as it predicts low smile lines correctly in 39,3% of cases and high smile lines in 91,1% of cases. CONCLUSION: According to gingival exposure there are significant differences between men and women and between different types of smile.
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Estética dentária Fotografia dentária Papila interdentária Gengiva Confecção de próteses dentárias Dental esthetics Dental photograph Interdental papilla Gingiva Dental prosthesis design