Table 7.

Linear regression analysis grouped by sex. Model 1: Demirjian method in girls, Model 2: Demirjian method in boys, Model 3: Willems method in girls, Model 4: Willems method in boys, Model 5: Nolla method in girls and Model 6: Nolla method in boys. * p < 0.001

Model	β	SE β	t	p	β (95% CI)		F	R2	R2 adjusted	Formula to predict CA
(1) Constant	1.01	0.23	4.33	0.000	0.55	1.47	1133.66*	0.7907	0.7900	CA = 1.01 + 0.81 x DA Demirjian girls
Predictor	0.81	0.02	33.67	0.000	0.77	0.86
(2) Constant	0.74	0.24	3.09	0.002	0.27	1.22	1191.13*	0.7988	0.7981	CA = 0.74 + 0.85 x DA Demirjian boys
Predictor	0.85	0.02	34.51	0.000	0.80	0.90
(3) Constant	1.01	0.23	4.43	0.000	0.56	1.47	1183.02*	0.7977	0.7970	CA = 1.01 + 0.87 x DA Willems girls
Predictor	0.87	0.03	34.40	0.000	0.82	0.92
(4) Constant	0.76	0.24	3.19	0.002	0.29	1.24	1194.54*	0.7993	0.7986	CA = 0.76 + 0.88 x DA Willems boys
Predictor	0 0.88	0.03	34.56	0.000	0.83	0.93
(5) Constant	1.65	0.25	6.60	0.000	1.16	2.14	844.76*	0.7379	0.7371	CA = 1.65 + 0.90 x DA Nolla girls
Predictor	0.90	0 0.03	29.06	0.000	0.84	0.96
(6) Constant	0.59	0.25	2.31	0.022	0.09	1.09	1099.80*	0.7857	0.7850	CA = 0.59 + 0.98 x DA Nolla boys
Predictor	0.98	0.03	33.16	0.000	0.92	1.04