| ORIGINAL ARTICLE |
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| Year : 2022 | Volume
: 19
| Issue : 2 | Page : 107-112 |
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Facial heights as predictors of occlusal vertical dimension in a Nigerian population: A pilot study
Tope Emmanuel Adeyemi1, Chikaodi Obinna Oguchi1, Paul Ikhodaro Idon2, Yewande Isabella Adeyemo3, Sabeer Muhammad Iya4, Oluwafeyisayo Francis Ikusika5
1 Senior Lecturer/Honorary Consultant Orthodontist, Bayero University Kano/Aminu Kano Teaching Hospital, Kano State, Nigeria
2 Lecturer/Honorary Consultant Restorative Dentist, University of Maiduguri/University of Maiduguri Teaching Hospital, Borno State, Nigeria
3 Senior Lecturer/Honorary Consultant Paedodontist, Bayero University Kano/Aminu Kano Teaching Hospital, Kano State, Nigeria
4 Lecturer II/Registrar in Maxillofacial Radiology, Bayero University Kano/Aminu Kano Teaching Hospital, Kano State, Nigeria
5 Senior Lecturer/Consultant Prosthodontist, Bayero University Kano/Aminu Kano Teaching Hospital, Kano State, Nigeria
Correspondence Address:
Oluwafeyisayo Francis Ikusika
Senior Lecturer/Consultant Prosthodontist, Bayero University Kano/Aminu Kano Teaching Hospital, Kano State
Nigeria
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/njbcs.njbcs_21_22
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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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