Table 2.

Correlations between variables used in the hierarchical multiple regression analyses

n = 804	Age	Gender	Years of education	Subjective health	Depressive symptoms	Physical exercise	Alcohol use	Episodic memory	Semantic memory	Visuospatial ability	Network size
Age	–
Gender	.016	–
Years of education	−.339**	−.004	–
Subjective health	−.066	−.119**	.086*	–
Depressive symptoms	.034	.159**	.021	−.233**	–
Physical exercise	−.171**	.039	.188**	.015	−.025	–
Alcohol use	−.158**	−.102**	.165**	.068	−.070*	.039	–
Episodic memory	−.304**	.196**	.475**	.064	−.021	.140**	.114**	–
Semantic memory	−.135**	.143**	.490**	.074*	−.004	.070*	.105**	.520**	–
Visuospatial ability	−.284**	−.104**	.341**	.067	.045	.101**	.072*	.406**	.361**	–
Network size	−.108**	−.089**	.188**	.108**	−.192**	.081*	.092**	.160**	.178**	.168**	–

Coding for gender (female = 1), subjective health (reasonably < = 1), physical exercise (once a week < = 1), and alcohol use (yes = 1)

* p < .05; ** p < .01, (two tailed)