Title of article :
Dental caries analysis in 3–5 years old children: A spatial modelling
Author/Authors :
Solaiman Afroughi، نويسنده , , Solaiman and Faghihzadeh، نويسنده , , Soghrat and Khaledi، نويسنده , , Majid Jafari and Motlagh، نويسنده , , Mehdi Ghandehari Motlagh&Ebrahim Hajizadeh، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
Objectives
in objective of this study was modelling experienced caries of deciduous teeth in 3–5 years old children treated in Childrenʹs Department of Tehran University of Medical Sciences, Iran, using the spatial autologistic regression. The other objective was identifying a risk pattern of decayed dents of these children.
als and methods
udy group consisted of 400 children (3–5 years old). Two groups of postgraduate and under graduate dentistry students under consideration and approval of the professors of dentistry from the Tehran University of Medical Sciences diagnosed and categorised the caries statuses of deciduous dents of the children. The caries statuses were considered as spatially correlated binary data. The appropriate model was autologistic regression.
s
tted autologistic model showed that caries in the three nearest neighbours of a tooth, which includes the two adjacent and the one vertically opponent teeth, had significant effect on its caries. The computed risks based on the fitted model revealed a definite-spatial pattern of caries events.
sions
decayed deciduous tooth in the mouth of a preschool child threatens the three nearest teeth. The risk pattern of caries in each quarter of the teeth lattice of children from incisors to molars has an ascending rate. The dents in maxilla and posterior locations have higher risks of caries than in mandible and anterior locations. These findings are valuable in preventive health care and therapeutic approaches in dentistry of children.
Keywords :
Spatial lattice , Tooth , Autologistic model , Spatial modelling , Dental caries
Journal title :
Archives of Oral Biology
Journal title :
Archives of Oral Biology