Table 7.

Summary of Multiple Regression Analysis of Variables Predicting Anxiety and Depression

Variable	B	SE B	β
Prediction of depression, CHD sample, R² = .147, p < .001 for the final model
Perceived control	−.557	.026	−.346^*
Age	−.050	.010	−.083^*
Gender	1.104	.240	.078^*
Education level	−.129	.035	−.038^*
Marital status	−.109	.114	−.016
Hypertension	−.312	.221	−.023
Diabetes	.974	.266	.060^*
Previous AMI	.168	.219	−.013
Prediction of anxiety, CHD sample, R² = .138, p < .001 for the final model
Perceived control	−.309	.017	−.306^*
Age	−.056	.006	−.150^*
Gender	.847	.152	.095^*
Education level	−.087	.038	−.038^*
Marital status	−.033	.072	−.008
Hypertension	−.189	.140	−.023
Diabetes	.382	.168	.038^*
Previous AMI	−.013	.138	−.002
Prediction of depression, HF sample, R² = .212, p < .001 for the final model
Perceived control	−.059	.016	−.349^*
Age	−.012	.006	−.178^*
Gender	−.106	.155	−.062
Education level	−.012	.027	−.038
Marital status	−.045	.072	−.057
New York Heart Association functional class	.193	.127	.148
Left ventricular ejection fraction	.003	.005	.053
Total comorbidity load, Charlson comorbidity index	.115	.023	.036
Prediction of anxiety, HF sample, R² = .151, p < .01 for the final model
Perceived control	−.033	.014	−.231^*
Age	−.004	.005	−.077
Gender	−.097	.134	−.067
Education level	.013	.024	.051
Marital status	−.097	.063	−.146
New York Heart	.238	.110	.219^*
Association functional class
Left ventricular ejection fraction	.000	.005	−.013
Total comorbidity load, Charlson comorbidity index	.024	.002	.013
Prediction of anxiety, AMI sample, R² = 316., p < .001 for the final model
Perceived control	−.041	.010	−.228^*
Age	−.009	.003	−.154^*
Gender	.127	.095	.077
Education level	−.029	.015	−.105
Marital status	−.022	.032	−.039
Left ventricular ejection fraction	.003	.003	.047
Diabetes	.108	.103	.059
Previous AMI	−.185	.097	−.105

Notes. p < .05, CHD = coronary artery disease, HF = heart failure, AMI = acute myocardial infarction