面部高度作为预测在尼日利亚人口咬合垂直尺寸:一项试点研究

IF 0.2 Q4 MEDICINE, GENERAL & INTERNAL
T. Adeyemi, Chikao Oguchi, P. Idon, Y. Adeyemo, Sabeer Iya, O. Ikusika
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引用次数: 1

摘要

背景:面部高度测量可能有助于预测咬合垂直尺寸(OVD)。目的:比较健康咬合个体的面部第三测量值,以预测咬合垂直尺寸的确定。背景与设计:在明野教学医院牙科诊所进行的横断面前瞻性观察研究。抽样是有目的的。材料与方法:采用数字卡尺测量103名受试者的上面部高度(UFH)、中面部高度(MFH)和下面部高度(LFH)。使用统计分析:收集的数据使用IBM Statistical Package for The Social Sciences (SPSS) version 25进行分析。P≤0.05为差异有统计学意义。结果:分析的队列中男性69例(67%),女性34例(33%)。参与者年龄18 ~ 58岁,平均年龄27.3±6.8岁。UFH范围60 ~ 110 mm,平均值82.2±9.8 mm。MFH范围55 ~ 100 mm,平均值74.6±9.9 mm。LFH范围60 ~ 90 mm,平均73.2±7.4 mm。UFH与LFH呈显著正相关(r = 0.22)。这与MFH和LFH相似(r = 0.61)。预测LFH的最佳拟合模型方程为LFH = 31.495 + (0.442 × MFH)。结论:本研究发现MFH是LFH估计的可预测因素,可用于OVD的测定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facial heights as predictors of occlusal vertical dimension in a Nigerian population: A pilot study
Context: Facial height measurements may aid in predicting occlusal vertical dimension (OVD). Aim: To compare facial third measurements among individuals with healthy occlusions for a predictive ratio for occlusal vertical dimension determination. Setting and Design: A cross-sectional prospective observational study at the Dental Clinic of Aminu Kano Teaching Hospital. Sampling was purposive. Materials and Methods: A digital caliper was used to measure the upper facial height (UFH), the midfacial height (MFH), and the lower facial height (LFH) of 103 participants. Statistical Analysis Used: The data collected were analyzed with IBM Statistical Package for the Social Sciences (SPSS) version 25. The level of statistical significance was set at P ≤ 0.05. Results: There were 69 male (67%) and 34 female (33%) members in the cohort analyzed. The ages of the participants ranged from 18 to 58 years, with a mean age of 27.3 ± 6.8 years. The UFH ranged from 60 to 110 mm with a mean value of 82.2 ± 9.8 mm. The MFH ranged from 55 to 100 mm with mean value of 74.6 ± 9.9 mm. The LFH ranged from 60 to 90 mm with a mean of 73.2 ± 7.4 mm. There was a significantly positive correlation between UFH and LFH (r = 0.22). This was similar to that of MFH and LFH (r = 0.61). The best fit model equation for the prediction of LFH was found to be LFH = 31.495 + (0.442 × MFH). Conclusions: This study found MFH to be a predictable factor for LFH estimation which can be used for OVD determination.
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来源期刊
Nigerian Journal of Basic and Clinical Sciences
Nigerian Journal of Basic and Clinical Sciences MEDICINE, GENERAL & INTERNAL-
CiteScore
0.20
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