Do Type 1 Diabetes Mellitus and Color-Vision Deficiencies Influence Shade-Matching Ability?

Pohlen, Boštjan; Hawlina, Marko; Pompe, Manca Tekavčič; Kopač, Igor

doi:10.11607/ijp.5563

Cited by 4 publications

(8 citation statements)

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“…The piece of information that color-vision deficiency affects shade matching is not new. It is in accordance with many previous studies, ( 2 , 3 , 12 - 15 ) and it is in fact “common sense”. This is the reason why the second null hypothesis can be rejected for all protan and deutan color-vision deficiency groups, except for DMID group.…”

Section: Discussionsupporting

confidence: 93%

“…Informed consent was obtained for experimentation with human subjects. The study was presented in broader extent in a previous article by Pohlen et al ( 3 ). The color vision of the participants was evaluated monocularly using the HRR test.…”

Section: Methodsmentioning

confidence: 99%

“…The protocol on the Toothguide Training Box (5) was the same as in Pohlen et al ( 3 ). The final exam was tested binocularly and it consisted of 15 lightness–chroma–hue tasks.…”

Section: Methodsmentioning

confidence: 99%

“…The factors that influence the shade matching are more important for the visual method ( 1 ). Congenital color-vision deficiencies affect visual shade matching ( 2 , 3 ). Congenital color-vision deficiencies can be divided in protan red-green deficiency (predominantly red axis affected) and deutan red-green deficiency (predominantly green axis affected).…”

Section: Introductionmentioning

confidence: 99%

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The Influence of the Extent of Color-Vision Deficiency on ShadeMatching Ability

Pohlen¹,

Hawlina²,

Kopač³

2019

Acta Stomatol Croat

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ObjectiveTo evaluate the influence of the extent of color-vision deficiency on visual shade-matching ability.Materials and methodsSix groups were investigated: the control group (N = 68), the protan medium deficiency (PMED) group (N = 5), the protan strong deficiency (PSTD) group (N = 5), the deutan mild deficiency (DMID) group (N = 5), the deutan medium deficiency (DMED) group (N = 5) and the deutan strong deficiency (DSTD) group (N = 8). The color vision of the participants was evaluated monocularly using the Hardy-Rand-Rittler (HRR) test and on an HMC Anomaloskop MR (Rayleigh test). The final exam on a Toothguide Training Box consisted of 15 lightness–chroma–hue tasks. The color difference (∆E*ab) and the shade-matching score (Σ∆E*ab) were computed. The means and the standard deviations for the Σ∆E*ab were calculated. An independent t-test was used for statistical analyses of the data and a comparison of means (α = .05) for protan groups and a one-way analysis of variance (ANOVA) and a post-hoc Bonferroni test (α = .05) for deutan groups.ResultsThe PSTD group had a mean Σ∆E*ab of 63.38 ± 9.52, which means their selections were significantly worse in comparison to the PMED group (Σ∆E*ab = 47.62 ± 9.88, p = 0.033). The selections of the control group were significantly better in comparison to all groups with color-vision deficiency (control – PMED, p = 0.031; control – PSTD, p < 0.0001; control – DMED, p < 0.0001; control – DSTD, p < 0.0001), except in comparison with DMID group (p = 0.082). The comparisons between deutan groups were not significantly different (DMID – DMED, p = 0.352; DMID – DSTD, p = 0.323; DMED – DSTD, p = 1.000).ConclusionParticipants with strong protan color-vision deficiency are worse at shade matching than participants with medium protan color-vision deficiency.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

“…The protocol on the Toothguide Training Box (5) was the same as in Pohlen et al ( 3 ). The final exam was tested binocularly and it consisted of 15 lightness–chroma–hue tasks.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Influence of the Extent of Color-Vision Deficiency on ShadeMatching Ability

Pohlen¹,

Hawlina²,

Kopač³

2019

Acta Stomatol Croat

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“…Determining dyschromatopsia or color vision deficiency (CVD) is a complex process influenced by the same factors affecting dental shade selection as well as the test that is employed for detection of CVD 9 . Dyschromatopsia may be either congenital or acquired from injury or systemic diseases such as diabetes mellitus 10 . It is commonly cited that the prevalence of red‐green CVD is approximately 8% in men and about 0.4% in women 11 .…”

Section: Introductionmentioning

confidence: 70%

Is there an association between Perceptual Ability Test scores and color vision acuity?

Imbery

Stilianoudakis

Tran

et al. 2020

Journal of Dental Education

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Objective: The purpose of this study was to determine if there is an association between Perceptual Ability Test (PAT) results and color vision deficiency (CVD). Methods: Three consecutive classes of first-year dental students (n = 291) voluntarily participated in the study. The Farnsworth-Munsell 100 Hue Color Vision test (FM-100) was administered to students beneath a Macbeth Judge II viewing booth that provided ideal lighting conditions to ascertain CVD. Results of FM-100 test were recorded as total error scores (TES). Color acuity was scored as superior (TES 0-16), average (TES 20-100), or poor (TES > 100). Additional information of age, sex, ethnicity, and time to complete the FM-100 was obtained. Multiple linear regression was used to determine the association between PAT and CVD while adjusting for age, sex, ethnicity, and time to complete the FM-100 test. Results: TES ranged from 0-244. There were 132 students with superior color acuity, 161 with average, and eight with poor acuity. Females performed better than males on the FM-100 test. Time to complete the FM-100 test ranged from 3:40 minutes to 25:12 minutes. There was a strong relationship between PAT scores and CVD (P = 0.0003). A 1-unit increase in PAT scores was found to result in a 9% decrease in TES; indicating that students with higher PAT scores are less likely to have CVD. Conclusion: The PAT may be a preliminary screening instrument to identify students who may have CVD. The FM-100 test can then confirm the presence of CVD. Students with CVD may desire to improve dental shade matching skills through targeted training and education. K E Y W O R D Scolor, dyschromatopsia, Farnsworth-Munsell, Perceptual Ability Test, shade 688

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Variability of Rayleigh and Moreland test results using anomaloscope in young adults without color vision disorders

et al. 2021

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Aim To validate the reference ranges proposed by the manufacturer of the Oculus HMC Anomaloscope MR for Rayleigh and Moreland tests in healthy young adults. Method The manual Rayleigh (red-green) and the Moreland (blue-green) anomaloscope tests were performed on 90 healthy subjects (54 female, 36 male, 178 eyes) residing in Poland, aged between 18–45 years, and without color vision disorders (assessed with HRR test). The analyzed parameters for both the Rayleigh and the Moreland tests were as follows: the lower (R1/M1) and the upper (R2/M2) limits; the center (RC/MC) and the width (RW/MW) of the matching ranges. Results The results of the Rayleigh test were similar to the values proposed in the anomaloscope user’s manual, however, with a small shift of RC and R2 towards the red color. The double-peak distribution of R2 with a small second peak (approximately at R2 = 52) was mainly due to the measurements in male subjects (nmale = 8, nfemale = 2), which suggests that this group might be diagnosed with subtle protanomaly. The results of the Moreland test showed a high MW which did not correspond to the reference range described in the anomaloscope user’s manual. The observed significant correlations between R1 and M1 suggest that the M1 parameter seems to be the best indicator of blue vision quality. Conclusions Oculus HMC Anomaloscope MR is a sensitive tool for detection of prot-deuteranomalies but the reference ranges for young adults require a certain adjustment towards the red color. The parameters obtained for the Moreland test varied significantly between the subjects and therefore the test should not be used as is to diagnose color vision deficits in the green-blue area (tritanomaly).

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Do Type 1 Diabetes Mellitus and Color-Vision Deficiencies Influence Shade-Matching Ability?

Abstract: Participants with color-vision deficiencies are less accurate at shade matching than the control group and the group with type 1 DM.

Cited by 4 publications

References 0 publications

The Influence of the Extent of Color-Vision Deficiency on ShadeMatching Ability

The Influence of the Extent of Color-Vision Deficiency on ShadeMatching Ability

Is there an association between Perceptual Ability Test scores and color vision acuity?

Variability of Rayleigh and Moreland test results using anomaloscope in young adults without color vision disorders

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