利比亚人口中年龄和性别对下颌指数的影响

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引用次数: 0

摘要

放射学下颌骨指数是评估骨矿化的简单和相对便宜的工具。目的:探讨年龄和性别对利比亚人群下颌全景指数(PMI)、下颌比例(MR)和下颌皮质指数(MCI)的影响。方法:对317例成人(男性155例,女性162例)的数字(opg)进行3项指标测定。样本被分为6个年龄组(从18-25岁到56-65岁)。使用SPSS (Statistical Package for Social Studies)软件对测量结果与年龄和性别的相互作用进行分析。22. 采用双因素方差分析、非配对t检验和卡方检验。结果:PMI均值在0.37 s.d 0.012 ~ 0.38 s.d 0.012之间波动。在第六个年龄组中。单因素方差分析显示年龄对PMI的影响不显著。另一方面,性别差异对PMI有影响,因为独立样本t检验表明,男性和女性PMI之间的差异具有统计学意义。方差分析显示各年龄组间MR均值呈负相关,MR均值由18-25岁年龄组的3.01下降到55-65岁年龄组的2.7。两样本t检验p> 0.05,性别对mri无影响。在MCI方面,统计分析显示受年龄的影响,C1随年龄的增长而降低,C2和C3随年龄的增长而升高。卡方检验的结果表明,不同年龄组和性别之间的MCI读数存在显著差异。结论:PMI受年龄影响显著,性别影响较小。MR不受性别影响,但与年龄呈负相关。轻度认知障碍受年龄和性别的影响
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The Influence of Age and Gender on Mandibular Indices among the Libyan Population
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
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