<![CDATA[The aim of the study is to assess prevalence and pattern of mandibular third molar impaction in south indianpopulation. Numerous Patient records were analysed and data was recorded The data that was collected wastabulated in excel and then imported into SPSS software. Incomplete or censored data was excluded fromthe study. The Statistical test that was run was the chi sequence test using the statistical software SPSS byIBM.In this study the results obtained can be summarized, presence of statistical significance between theCorrelation of winters classification and gender of the study population (p=0.005), presence of statisticalsignificance between the Correlation of winter’s classification and age (p=0.002), presence of no statisticalsignificance between the Correlation of winter’s classification and tooth number (p=0.089). In the presentstudy the Most prevalent gender to have impacted mandibular 3rd molar was males (58.36 %), Most prevalentimpacted 3rd molar based on teeth number teeth number is 38 (54.1%), Most prevalent age group to bediagnosed with impacted 3rd molar was between the year 20-29 year (54.86 %). Most prevalent angulationWinters classification was found to be mesioangular ( 42.16%). Within the limitation of the present study,correlation between tooth angulation and age, sex and tooth number was found to be statistically significant, further studies to be conducted to asses the treatment difficulty and option for impacted tooth .]]>
Copyrights © 2020
