Modeling using regression analysis of linear sizes of molars depending on the cephalometric indices of practically healthy men of the Northern and Southern regions of Ukraine

  • O.O. Kotsyura National Pirogov Memorial Medical University, Vinnytsya, Ukraine
Keywords: regression models, molars, linear dimensions, computed-tomography,cephalometry, practically healthy men, Northern and Southern regions of Ukraine.


For more precise odontometry, taking into account the individual craniotypologicalfeatures of the patient, mathematical modeling should be used, which will significantlyimprove the quality of the medical diagnostic and treatment process in orthodontics. Thepurpose of the study is to construct and analyze a regression model of computed-tomographic size of molars, depending on the features of cephalometric indices ofpractically healthy men of the Northern and Southern regions of Ukraine. Computed-tomographic study of molars with the following odontometry and cephalometry of 32practically healthy men of the Northern region of Ukraine - residents from Zhytomyr, Kyiv,Chernihiv and Sumy regions and 33 men of the Southern region of Ukraine - residentsfrom Odessa, Nikolaev, Kherson, Zaporizhzhya regions and Crimea. The construction ofregression models of individual linear sizes of molars, depending on the cephalometricindices, was performed using the statistical software package "Statistica 6.1". As a resultof our research, we have constructed reliable models of linear computed-tomographicsizes of molars of the upper and lower jaws in practically healthy men of the North [3models of mesio-distal dimensions (R2 = 0.576-0.685), to which most often include thelength of the body of the mandible on the right (16.7%), the smallest width of the head,the depth of the nose and the craniotype (by 11.1%); 2 models of vestibular-tonguedimensions (R2 = 0.657 and 0.767), which most often include the transverse arc andthe smallest width of the head (15.4%); 2 models of crown height (R2 = 0.519 and0.557)] and Southern [4 models of mesio-distal dimensions (R2 = 0.508-0.798), whichmost often include the largest head length, average facial width, height of the upperface, physiological face length, width of the lower jaw, nose depth and external eyewidth (8.3%); 6 models of vestibular-tongue dimensions (R2 = 0.504-0.756), whichmost often include external eye width (13.2%), physiological facial length, intercostalwidth and mouth width (10.5%), maximum head width, length and height of the nose (by7.9%), transverse arc, height of the upper face and distance between the nasion andinter-incisive point (by 5.3%); 2 models of crown height (R2 = 0.527 and 0.748), whichmost often include inter-orbital width and mouth width (14.3%)] regions of Ukraine.Thus, in practically healthy men from the Northern and Southern administrative-territorialregions of Ukraine, based on the characteristics of cephalometric indicators, craniotypeand face type, reliable regression models (with determination coefficient R2 greater than0.5) of individual linear computed-tomography sizes of molars of the upper and lowerjaws (out of 40 possible 7 for Northern and 12 for Southern regions of Ukraine).


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How to Cite
Kotsyura, O. (2018). Modeling using regression analysis of linear sizes of molars depending on the cephalometric indices of practically healthy men of the Northern and Southern regions of Ukraine. Biomedical and Biosocial Anthropology, (30), 68-74.