Table 3.

Summary of Hierarchical Regression Analyses Predicting Change between Time 1 and Time 2

PROPORTIONAL DISCREPANCY SCORE OUTCOME
	(Other-look Age - Chronological Age) / Chronological Age (Time 2)				(Felt Age - Chronological Age) / Chronological Age (Time 2)				(Look Age - Chronological Age) / Chronological Age (Time 2)
Predictor	β	β	β	β	β	β	β	β	β	β	β	β
	Step 1	Step 2	Step 3	Step 4	Step 1	Step 2	Step 3	Step 4	Step 1	Step 2	Step 3	Step 4
Corresponding Proportional Discrepancy Score at Time 1a	.61***	.62***	.59***	.56***	.27**	.23**	.23**	.22**	.44***	.41***	.40***	.40***
Time lapse between Time 1 and Time 2	−.02	−.02	−.03	−.05	−.03	−.01	−.01	.004	−.02	−.02	−.02	−.03
Chronological Age	.08	.08	.03	.03	−.02	−.10	−.11	−.14	−.08	−.10	−.11	−.09
Sex (−1 = men, 1 = women)	−.04	−.08	−.06	−.06	−.12	−.11	−.11	−.12	.09	.07	.08	.08
Education (years)	.11	.12	.17	.20*	−.06	−.01	−.01	−.03	.02	.06	.07	.07
Income (dollars)	−.01	−.01	−.02	.08	.04	.06	.06	−.02	.03	.04	.03	.07
Attractiveness	−.08	−.06	−.08	−.08
Self-rated Health		.06	.05	.05		−.20*	−.20*	−.20*		−.10	−.10	−.10
Functional Health		−.20*	−.22*	−.19		.13	.13	.12		−.12	−.12	−.12
Chronic Health Problems		−.05	−.04	−.04		.29**	.29**	.29**		−.01	−.01	−.01
General Stress			−.12	−.19			−.01	.04			−.03	−.05
Financial Stress				.21*				−.17				.08
	R2 = .379, F(7, 93) = 8.10***	R2 change =.030, F change (3, 90) = 1.52	R2 change = .011, F change (1, 89) = 1.76	R2 change = .027, F change (1, 88) = 4.29*	R2 = .090, F(6, 131) = 2.16	R2 change =.115, F change (3, 128) = 6.20**	R2 change = .000, F change (1, 127) = .02	R2 change = .017, F change (1, 126) = 2.78	R2 = .216, F(6, 131) = 6.01***	R2 change =.028, F change (3, 128) = 1.61	R2 change = .001, F change (1, 127) = .12	R2 change = .003, F change (1, 126) = .57

^a(Other-look Age -Chronological Age)/ Chronological Age, or (Felt Age - Chronological Age) / Chronological Age, or (Look Age - Chronological Age) /Chronological Age Notes: All the predictors were measured at Time 1;

^***p <.001,

^**p <.01,

^*p <.05