Estimation of dental and facial proportions using height as criteria
Ideal dental restoration is one which not only restores optimal functions but also confirm to standard dental and facial relations. This is important to achieve long term patient satisfaction both with regard to esthetics as well as functions. Objective was to find a credible relationship between de...
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Veröffentlicht in: | Journal of international oral health 2014-07, Vol.6 (4), p.25-28 |
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Sprache: | eng |
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Zusammenfassung: | Ideal dental restoration is one which not only restores optimal functions but also confirm to standard dental and facial relations. This is important to achieve long term patient satisfaction both with regard to esthetics as well as functions. Objective was to find a credible relationship between dental and facial proportions using height of individuals as the criteria in a specific group of population. To determine a regression equation for determination of various dental and facial proportions using height.
One hundred and forty-four (n = 144) students, of which 91 were males (n = 91) and 53 were females (n = 53) of the dental college participated in this study. Height of the individual, the lower facial height, inter-incisal and inter-canine and inter-commissural width was measured as per protocol and resulting data was analyzed using SPSS 17 (SPSS Statistics for Windows, Version 17.0. Chicago SPSS Inc. Released 2008) version software regression equations were obtained.
The study included 144 college students significant correlations were found between height of the individuals, inter-canine distance and lower facial height using Pearson correlation coefficient. The calculated values of t-test were significant. Regression equations were determined for determination of various parameters using height as the sole criteria.
There exists a definite relationship between height of the individual and their dental and facial parameters in this group of population and values of maxillary anterior teeth can be determined using regression equations. |
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ISSN: | 0976-7428 0976-1799 |