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Table 3 Hierarchical regression analysis testing influence of demographic characteristics, financial toxicity and illness perception on QoL in prostate cancer patients

From: Examining the influence of illness perception and financial toxicity on the quality of life of prostate cancer patients

 

Model 1

Model 2

Model 3

Model variables

b Coefficient

Beta

t

b Coefficient

Beta

t

b Coefficient

Beta

t

Constant

96.812

 

7.870**

83.650

 

7.404**

124.679

 

12.410**

Age

− 0.114

− 0.060

− 0.733

− 0.190

− 0.100

− 1.315

− 0.027

− 0.014

− 0.237

Educational level

0.428

0.020

0.251

− 2.466

− 0.116

− 1.477

− 1.801

− 0.085

− 1.371

Marital status

0.501

0.018

0.227

0.779

0.028

0.382

0.421

0.015

0.228

Comorbid diseases

− 7.562

− 0.318

− 4.152**

− 6.500

− 0.274

− 3.834**

− 2.482

− 0.104

− 1.743

Treatment site

2.276

0.107

1.362

1.747

0.082

1.129

1.018

0.048

0.739

Financial toxicity

   

0.850

0.392

5.224**

0.392

0.181

2.742*

Consequences

      

− 1.310

− 0.225

− 3.115**

Timeline

      

− 0.644

− 0.088

− 1.260

Personal control

      

0.193

0.029

0.441

Treatment control

      

− 0.418

− 0.053

− 0.783

Identity

      

− 1.817

− 0.265

− 4.314**

Concern

      

− 1.425

− 0.213

− 2.951**

Illness understanding

      

− 2.091

− 0.311

− 4.545**

Emotional response

   

− 0.702

− 0.118

− 1.523

− 0.702

− 0.118

− 1.523

 

Model 3 Summary

R = 0.360 R Square = 0.130 Adjusted R = 0.102 SEE = 20.400

F (5,154) = 4.594 p < 0.00

Model 2 Summary

R = 0.511 R Square = 0.262 Adjusted R = 0.233 SEE = 18.854

F (6,153) = 9.031; p < 0.01

Model 3 Summary

R = 0.769 R Square = 0.591 Adjusted R = 0.552 SEE = 14.408

F (14,145) = 14.984; p < 0.01

  1. Dependent Variable: QoL (FACT-P) **p < 0.01 *p < 0.05