{"title":"The Influence of Age and Gender on Mandibular Indices among the Libyan Population","authors":"","doi":"10.33140/jodh.03.02.2","DOIUrl":null,"url":null,"abstract":"Radiographic Mandibular Indices serve as easy and relatively cheap tools for evaluating bone mineralization.\nObjectives: To examine the effect of age and gender on three mandibular indices: the panoramic mandibular index\n(PMI), the mandibular ratio (MR) and the mandibular cortical index (MCI), among Libyan population.\nMethods: The three indices were measured on 317 digital (OPGs) of adult humans (155 males, 162 females). The\nsample was divided into six age groups (from 18-25 years through 56-65 years). The measurements were analyzed\nfor interactions with age and sex, using SPSS (Statistical Package for Social Studies) software version no. 22. The\ntests employed were two way ANOVA, the unpaired T-test and chi-square test.\nResults: The mean PMI fluctuated between 0.37 s.d. 0.012 and 0.38 s.d. 0.012. among the sixth age groups. One-way\nANOVA statistical test revealed no significant of age on PMI. On the other hand gender variation has effect on PMI,\nsince independent sample t-test disclosed that the difference between the male and female PMI means statistically\nsignificant. ANOVA test showed that the means of MR among age groups showed a negative correlation i.e. MR mean\ndeclined from 3.01 in 18-25 age groups to 2.7 in 55-65 age groups. In contrary, the gender showed no effect on MR\naccording two sample t-test at p> 0.05. In regards with MCI, statistical analysis showed that it affected by age that\nis C1 was decreasing by age while C2 and C3 were increased by age. Using chi square test the result indicated that\nthere is a significant difference among the different age group and the two genders in MCI readings.\nConclusion: PMI was influenced significantly by age but minimally by the gender. MR is not affected by gender but\nhas a negative correlation with age. MCI is affected by both age and gender","PeriodicalId":15598,"journal":{"name":"Journal of dental health, oral disorders & therapy","volume":"57 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of dental health, oral disorders & therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/jodh.03.02.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Radiographic Mandibular Indices serve as easy and relatively cheap tools for evaluating bone mineralization.
Objectives: To examine the effect of age and gender on three mandibular indices: the panoramic mandibular index
(PMI), the mandibular ratio (MR) and the mandibular cortical index (MCI), among Libyan population.
Methods: The three indices were measured on 317 digital (OPGs) of adult humans (155 males, 162 females). The
sample was divided into six age groups (from 18-25 years through 56-65 years). The measurements were analyzed
for interactions with age and sex, using SPSS (Statistical Package for Social Studies) software version no. 22. The
tests employed were two way ANOVA, the unpaired T-test and chi-square test.
Results: The mean PMI fluctuated between 0.37 s.d. 0.012 and 0.38 s.d. 0.012. among the sixth age groups. One-way
ANOVA statistical test revealed no significant of age on PMI. On the other hand gender variation has effect on PMI,
since independent sample t-test disclosed that the difference between the male and female PMI means statistically
significant. ANOVA test showed that the means of MR among age groups showed a negative correlation i.e. MR mean
declined from 3.01 in 18-25 age groups to 2.7 in 55-65 age groups. In contrary, the gender showed no effect on MR
according two sample t-test at p> 0.05. In regards with MCI, statistical analysis showed that it affected by age that
is C1 was decreasing by age while C2 and C3 were increased by age. Using chi square test the result indicated that
there is a significant difference among the different age group and the two genders in MCI readings.
Conclusion: PMI was influenced significantly by age but minimally by the gender. MR is not affected by gender but
has a negative correlation with age. MCI is affected by both age and gender