| Literature DB >> 30112381 |
Abstract
OBJECTIVE: The objective of this study was to determine if the smile would influence the facial types esthetics perception for dentists, specialists, and laypeople. The null hypotheses for this study were that the smile has no effect on the perceived facial esthetics of different facial types. MATERIALS ANDEntities:
Mesh:
Year: 2018 PMID: 30112381 PMCID: PMC6077656 DOI: 10.1155/2018/3562916
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1The process of creating a symmetrical face; left is selected and mirrored to develop a fully symmetrical face.
Figure 2Three developed faces, from left to right, mesofacial face, dolichofacial face, and brachyfacial face. The smiles were sealed intentionally in these photos, not to distract the assessor by the teeth, while they are assessing the different face types.
Figure 3Three photos showing each facial type with a smile (meso, dolicho, and brachyfacial). The smiles added to all face types are identical.
Sample groups and gender distribution.
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| (1) |
| Dentists | 50 | ||||
| Specialist | 50 | ||||||
| Lay People | 100 | ||||||
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| (2) |
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| Male | Female | Male | Female | Male | Female | ||
| 19 (38) | 31 (62) | 20 (40) | 30 (60) | 42 (42) | 58 (58) | ||
Gender comparison revealed no difference between male and female regarding photos assessment. Note: independent Student's t-test is performed at confidence level of 95%.
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| (1) |
| 64.68 | 66.04 | 0.70 (0.14) |
| (2) |
| 57.51 | 55.51 | 0.57(0.31) |
| (3) |
| 59.16 | 62.08 | 0.38 (0.74) |
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| (4) |
| 65.83 | 62.48 | 0.34 (0.88) |
| (5) |
| 64.19 | 61.92 | 0.47 (0.50) |
| (6) |
| 59.83 | 56.08 | 0.29 (1.08) |
To test the difference in perception between the three groups, one-way ANOVA was performed at confidence level of 95%, and p value was adjusted to 0.01. p value <0.01.
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| (1) |
| 64.48±24.94 | 76.12±18.35 | 60.68±25.48 |
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| (2) |
| 55.40±25.82 | 62.08±22.29 | 53.90±25 | 0.15(1.89) |
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| (3) |
| 60.98±23.55 | 66.16±20.11 | 58.23±24.76 | 0.15 (1.91) |
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| 0.18 (1.70) |
| 0.15 (1.87) | ||
Post hoc analysis revealed a significant difference between the specialists and lay people. p value<0.01.
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| - | 0.04 | 0.62 |
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| 0.04 | - | 0.001 | |
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| 0.62 | 0.001 | - | |
To test the difference in perception between the three groups, one-way ANOVA was performed at confidence level of 95%, and p value was adjusted to 0.01. p value <0.01.
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| (1) |
| 58.58±23.88 | 66.06±23.99 | 65.35±25.26 | 0.21 (1.53) |
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| (2) |
| 56.42±23.27 | 67.40±19.46 | 63.77±21.96 | 0.03 (3.38) |
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| (3) |
| 52.74±23.33 | 57.34±25.21 | 60.15±25.49 | 0.23 (1.47) |
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| 0.45 (0.78) | 0.06 (2.81) | 0.30 (1.20) | ||