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Explaining the colour of natural healthy gingiva

Cristina Gómez‐Polo, Javier Montero, Ana María Martín Casado

2024Odontology11 citationsDOIOpen Access PDF

Abstract

Abstract 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 R 2 = 0.149). In women, frequency of toothbrushing was the strongest predictor in the predictive models (maximum R 2 = 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.

Topics & Concepts

MedicineRegression analysisDentistryPredictabilityLinear regressionMaxillary central incisorOrthodonticsOral and maxillofacial surgeryMathematicsDemographyStatisticsSociologyOrthodontics and Dentofacial OrthopedicsDental Erosion and TreatmentOral microbiology and periodontitis research
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