IADR Abstract Archives
Farnsworth-Munsell 100 Hue Test and Gender Predict Shade Matching Ability
Objectives: Determine if Farnsworth-Munsell-100 Hue Test (FM-100), Perceptual Ability Test (PAT), gender, age, ethnicity and time can predict dental shade matching ability and value discernment in first-year-dental-students.
Methods: FM-100 test was administered to 94 first-year-dental-students beneath a Judge II booth (color temperature = 6500°K, color rendering index = 90). Students arranged by value (lightest to darkest) 16 masked shade tabs from the Vita Classic (VC) shade guide and matched together 16 masked shade tabs from two VC shade guides. Ethnicity (Caucasian, Hispanic, African American or Asian Pacific Islander), age, PAT scores, gender and time to complete tests were recorded. Associations and correlations were investigated using chi-squared, Tukey-Kramer HSD, standard least square and multiple linear regression (p<0.05). Study met expedited approval VCU’s IRB( #HM20002312).
Results: Total errors scores (TES) on the FM-100 test ranged from 0-144. There were 9 perfect scores all obtained by females. Forty-eight students exhibited superior color acuity, 44 average and 2 poor. Thirteen students matched together correctly all 16 shade tabs from two VC shade guides. However, their mean correct answers arranging the VC by value was 6.2. Eleven of these 13 students had superior color acuity (two had TES=0); remaining two had average color acuity. FM-100 TES of males (mean TES=53.7) was significantly higher (p=0.0043) than females (mean TES=37.6). As TES decreased ability to match shade tabs together increased. PAT scores had slight significance; as PAT scores increased there was slight decrease in TES (p=0.0687). No other correlations were significant for Matching or Value tests. Table 1 illustrates p values for independent variables of age, ethnicity, time and PAT scores. Table 2 illustrates results of the three tests by gender.
Conclusions: FM-100 and gender are predictors for dental shade matching but not value discerment. Results also confirm that value arrangement of the VC shade guide is not systematically distributed.
Methods: FM-100 test was administered to 94 first-year-dental-students beneath a Judge II booth (color temperature = 6500°K, color rendering index = 90). Students arranged by value (lightest to darkest) 16 masked shade tabs from the Vita Classic (VC) shade guide and matched together 16 masked shade tabs from two VC shade guides. Ethnicity (Caucasian, Hispanic, African American or Asian Pacific Islander), age, PAT scores, gender and time to complete tests were recorded. Associations and correlations were investigated using chi-squared, Tukey-Kramer HSD, standard least square and multiple linear regression (p<0.05). Study met expedited approval VCU’s IRB( #HM20002312).
Results: Total errors scores (TES) on the FM-100 test ranged from 0-144. There were 9 perfect scores all obtained by females. Forty-eight students exhibited superior color acuity, 44 average and 2 poor. Thirteen students matched together correctly all 16 shade tabs from two VC shade guides. However, their mean correct answers arranging the VC by value was 6.2. Eleven of these 13 students had superior color acuity (two had TES=0); remaining two had average color acuity. FM-100 TES of males (mean TES=53.7) was significantly higher (p=0.0043) than females (mean TES=37.6). As TES decreased ability to match shade tabs together increased. PAT scores had slight significance; as PAT scores increased there was slight decrease in TES (p=0.0687). No other correlations were significant for Matching or Value tests. Table 1 illustrates p values for independent variables of age, ethnicity, time and PAT scores. Table 2 illustrates results of the three tests by gender.
Conclusions: FM-100 and gender are predictors for dental shade matching but not value discerment. Results also confirm that value arrangement of the VC shade guide is not systematically distributed.