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Título
Explaining the colour of natural healthy gingiva
Autor(es)
Palabras clave
Spectrophotometer
Natural gingival colour
Caucasian population
Regression models
Gender
Clasificación UNESCO
3213 Cirugía
3213.13 Ortodoncia-Estomatología
Fecha de publicación
2024
Editor
Springer
Citación
Gómez-Polo, C., Montero, J., & Martín Casado, A. M. (2024). Explaining the colour of natural healthy gingiva. Odontology, 112(4), 1284-1295. https://doi.org/10.1007/s10266-024-00906-4
Resumen
[EN] To examine the differences between natural gingival colour in men and women. To determine the degree of predictability of
changes in the gingival colour coordinates recorded for healthy gingiva, according to age, long-term medication, frequency
of toothbrushing, and smoking habits. The CIELAB colour coordinates were recorded using a spectrophotometer for 360
Caucasian adult participants (aged 18–92 years), in three zones of the healthy attached gingiva of the maxillary central incisor.
Regression models were created for each zone and each sex, taking the L*, a* and b* coordinates as dependent variables
and age, frequency of toothbrushing, smoking habits (0—non-smoker; 1—smoker) and whether participants were taking
long-term medication (0—no; 1—yes) as independent variables. The statistical analysis was conducted with SPSS version
26.0, using multiple regression models. Statistically significant differences between men and women were found only for
colour coordinate b*, in all three zones. The only colour coordinate on which the predictor variables had a significant effect
was the L* coordinate. In men, age and long-term medication had the greatest effect as predictors (maximum R2
= 0.149). In
women, frequency of toothbrushing was the strongest predictor in the predictive models (maximum R2
= 0.099). The colour of
gingiva in men contained a larger amount of blue, given that significantly lower values for colour coordinate b* were recorded
in men than women, although this difference lacked clinical implications. For both sexes, the regression models produced
had a modest predictive capacity. The L* coordinate was the dependent variable that showed the greatest predictability.
Descripción
Financiación de acceso abierto proporcionada por los Fondos Europeos FEDER y la Junta de Castilla y León en el marco de la Estrategia de Investigación e Innovación para la Especialización Inteligente (RIS3) de Castilla y León 2021-2027
URI
ISSN
1618-1247
DOI
10.1007/s10266-024-00906-4
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