Table 3.

Bootstrapped regression analyses (Model 1, PROCESS Macro) for lifestyle factors, skinfold, sIgA, testosterone and cortisol as predictors of men’s facial attractiveness (as rated by women).

	B	Std. Error	t	p	R2
DV: Facial attractiveness					0.18
Age	0.01	0.02	0.66	0.51
Health Problems	−0.89	0.44	−0.20	0.04*
Log sIgA	0.27	0.28	0.97	0.34
Average skinfold (mm)	−0.03	0.01	−2.29	0.02*
Sleep	−0.01	0.10	−0.01	0.99
Exercise	0.42	0.29	1.45	0.15
Alcohol (drinks/week)	0.02	0.02	1.26	0.21
Smoking	0.11	0.47	0.23	0.82
Life Stress	−0.16	0.25	0.63	0.53
Testosterone (T)	0.21	0.52	0.40	0.69
Cortisol (C)	−0.07	0.29	−0.23	0.82
T x C	−1.18	0.70	−1.70	0.09†

DV, Dependent Variable; B, Unstandardized regression coefficient. † = p < 0.10; * = p < 0.05.