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Table 6 Regression parameters for predicting UCPM and LCPM tooth sizes in each arch and per sex

From: New regression equations for predicting human teeth sizes

Study Population Sample (n) Sex Arch Constants
r a b SEE r2
Tanaka and Jhonston [3] North American Whites T = 506 M + F Mx 0.63 10.41 0.51 0.86 0.35
M + F Mb 0.65 9.18 0.54 0.85 0.42
Al khadra [9] Saudi Arabian T = 34 M + F Mx 0.65 7.20 0.63 - 0.42
M + F Mb - 8.60 0.55 - 0.40
Diagne et al [14] Senegalese 25(M) + 25(F) M + F Mx 0.68 9.87 0.53 0.71 0.46
=50 M + F Mb 0.73 5.67 0.70 0.81 0.54
Frankel and Benz [21] Black Americans 39(M) + 41(F) M + F Mx 0.65 10.18 0.52 0.87 0.42
T = 80 M + F Mb 0.70 8.30 0.64 0.94 0.49
Jaroontham and Godfrey [12] Northeastern Thai 215(M) + 215(F) M + F Mx 0.60 11.87 0.47 0.84 0.36
T = 430 M + F Mb 0.64 10.30 0.50 0.82 0.41
Melgaco et al [15] White Brazilians 240(M) + 223(F) F Mx 0.69 9.20 0.55 - 0.48
=500 M Mb 0.70 8.90 0.58 - 0.50
Nourallah et al [13] Syrians 320(M) + 280(F) M + F Mx 0.67 9.87 0.50 0.79 0.45
T = 600 M + F Mb 0.68 9.32 0.55 0.83 0.46
Uysal et al [17] Turkish 100(M) + 128(F) M + F Mx 0.99 4.07 0.76 0.01 0.98
T = 228 M + F Mb 0.99 3.74 0.75 0.01 0.98
Paredes et al. (this study) Spanish 169(M) + 190(F) M + F Mx 0.574 12.34 0.42 0.87 0.330
T = 359 M + F Mb 0.587 11.17 0.45 0.91 0.345
Bherwani and Fida [19] Pakistani 100(M) + 100(F) M + F Mx 0.65 8.56 0.54 0.79 0.42
T =200 M + F Mb 0.59 10.52 0.48 0.82 0.35
Yuen et al [10] Hong Kong Chinese 61(M) + 51(F) M + F Mx 0.72 8.13 0.63 0.74 0.52
T = 112 M + F Mb 0.73 7.74 0.61 0.71 0.53
Abu Alhaija et al [23] Jordanian 130(M) + 96(F) M + F Mx 0.57 10.55 0.53 0.99 0.32
T = 226 M + F Mb 0.59 9.41 0.56 0.99 0.35
Philip NI et al [18] Indian 300(M) + 300(F) M + F Mx 0.65 7.29 0.65 0.43 0.76
T = 600 M + F Mb 0.67 5.85 0.69 0.45 0.75
Chan et al [11] Asian Americans T = 201 M + F Mx 0.64 8.19 0.63 0.90 0.41
M + F Mb 0.66 7.46 0.62 0.85 0.44
Tahere et al [22] Iranian 25(M) + 25 F) M + F Mx 0.53 11.06 0.45 0.80 0.28
T = 50 M + F Mb 0.70 6.42 0.64 0.70 0.49
  1. r (Pearson linear regression coefficients); a and b, regression equation coefficients y = a + bx; SEE, r2, coefficient of determination. Male + Female (Total); Male(M) and Female(F) of different populations. Mx (maxilla) and Mb (mandible).