Related Experiment Video
Updated: Jan 3, 2026

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
Published on: February 23, 2024
Predictors for Proximal Caries in Permanent First Molars: A Multiple Regression Analysis
Arshad Hasan1, Javeria A Khan2, Muhamamd Taqi3
1Department of Operative Dentistry, Dow Dental College, Dow University of Health Sciences, Karachi, Sindh, Pakistan, Phone: +922 134612780,
Aim:
The aim of this study was to determine the predictors of proximal decay in the permanent first molar.
Materials And Methods:
A cross-sectional study was conducted at the Department of Oral Medicine, Dow Dental College, Dow University of Health Sciences. A total of 171 patients presenting with 227 first molars were included. Calibrated examiners performed a detailed history and examination using a specialized form. The form recorded caries predictors and assigned a caries risk category based on the presence of these predictors. The statistical analysis was performed using the SPSS for windows version 17. A descriptive analysis was used to calculate the mean and proportions. Backward regression was carried out to evaluate the predictor for caries on mesial and distal surfaces at p ≤ 0.05.
Results:
The included 171 patients presented with a total of 227 decayed first molars and 412 decayed proximal surfaces. The mesial surface was found to be more affected by decay (0.92 ± 0.85). The caries risk profile explains 60%, and caries on the adjacent surface explains 90% of caries occurrence on the mesial surface. In the case of distal surfaces, the predictor which can cause caries significantly was caries risk only. The caries risk profile explains the 3% of caries occurrence on distal surfaces.
Conclusion:
Our study identified caries on the adjacent tooth surface and the caries risk profile as significant predictors of future caries risk for the mesial surface of permanent molars.
Clinical Significance:
Predictors for mesial and distal surfaces of the permanent first molar may differ. Overall caries risk and status of adjacent teeth must be taken into account to predict future caries occurrence.
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Teeth
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

