Table 3.

Hierarchical Regression Analysis of Factors Predicting the Successful Aging Score

Variable	β	t	df	p
Sociodemographic Factors
Age	−0.13	−1.71	179	0.09
Female	−0.19	−1.61	179	0.11
Black	0.03	0.47	179	0.64
Education	0.07	0.98	179	0.33
Personal income	−0.07	−0.91	179	0.36
Psychosocial Factors
PANSS positive	−0.12	−1.25	179	0.21
PANSS negative	−0.19	−2.06	179	0.04
CAGE: any item lifetime	−0.00	−0.12	179	0.90
CESD ≥16	0.04	0.52	179	0.60
Coping cognition	0.06	0.80	179	0.42
Lifetime trauma events	0.10	1.33	179	0.18
Environmental Factors
Quality of Life Index	0.20	2.41	179	0.01
Supported residence	−0.13	−1.62	179	0.11
Number of entitlements	−0.02	−0.30	179	0.77
Mental health services (upper tercile)	0.05	0.67	179	0.50
Frequency of medical services	−0.00	−0.12	179	0.90

Note: Note: CESD=Center for Epidemiological Studies Depression Scale; PANSS=Positive and Negative Symptom Scale.

Sociodemographic variable set: F=1.27, df 5, 174, p=.28

Psychosocial variable set: F=5.21, df6, 168, p<.001

Environmental variable set: F=2.14, df5, 163, p=06

Overall model: F=3.16, df 16,163, p<.001; R² =.246