Department of Surgery, School of Medicine, University of Salamanca, Campus Miguel de Unamuno s/n, 37007, Salamanca, Spain.
Department of Statistics, School of Medicine, University of Salamanca, Salamanca, Spain.
Odontology. 2024 Oct;112(4):1284-1295. doi: 10.1007/s10266-024-00906-4. Epub 2024 Feb 25.
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 = 0.149). In women, frequency of toothbrushing was the strongest predictor in the predictive models (maximum R = 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.
探讨男性与女性自然牙龈颜色的差异。确定健康牙龈的牙龈颜色坐标记录值随年龄、长期用药、刷牙频率和吸烟习惯变化的可预测程度。使用分光光度计记录 360 名白种成年参与者(年龄 18-92 岁)上颌中切牙附着健康牙龈的三个区域的 CIELAB 颜色坐标。为每个区域和每个性别创建回归模型,将 L*、a和 b坐标作为因变量,年龄、刷牙频率、吸烟习惯(0-非吸烟者;1-吸烟者)和是否长期服用药物(0-否;1-是)作为自变量。使用 SPSS 版本 26.0 进行统计分析,采用多元回归模型。仅在三个区域中,男性和女性之间的 b颜色坐标存在统计学差异。预测变量仅对 L颜色坐标有显著影响。在男性中,年龄和长期用药是最强的预测因素(最大 R=0.149)。在女性中,刷牙频率是预测模型中最强的预测因素(最大 R=0.099)。男性的牙龈颜色含有更多的蓝色,因为男性的 b颜色坐标值明显低于女性,尽管这种差异没有临床意义。对于男性和女性,生成的回归模型都具有适度的预测能力。L坐标是最具可预测性的因变量。