Table 4: Multiple logistics regression output for control of BP (HPT).

Variables

B

Wald

df

Sig.

Odds Ratio (OR)

95% C.I. for OR

Lower

Upper

Age

 

9.016

4

.061

 

 

 

26 – 35 years

2.544

2.169

1

.141

12.735

.431

376.369

36 – 45 years

-.566

.118

1

.731

.568

.022

14.340

46 – 55 years

.726

.220

1

.639

2.067

.100

42.923

> 55 years

1.097

.535

1

.464

2.996

.158

56.656

Gender

.265

.798

1

.372

1.303

.729

2.331

Income

 

2.322

3

.508

 

 

 

<= R1000

-.825

1.202

1

.273

.438

.100

1.915

R1001 – R2000

.287

.409

1

.523

1.333

.552

3.216

R2001 – R3000

21.438

.000

1

.999

2044494676.054

.000

.

Education

 

3.752

4

.441

 

 

 

1-5 years schooling

.204

.432

1

.511

1.226

.667

2.254

6-11 years schooling

-1.210

2.901

1

.089

.298

.074

1.200

Matric

21.003

.000

1

.999

1322387848.687

.000

.

Post Matric or Higher education

-.058

.010

1

.919

.944

.311

2.870

Employment Situation

 

5.602

2

.061

 

 

 

Full-time employed

1.003

5.562

1

.018

2.727

1.185

6.278

Part-time employed

.535

1.584

1

.208

1.707

.742

3.924

Total Practice

.134

1.109

1

.292

1.143

.891

1.466

Total attitude

.279

1.346

1

.246

1.322

.825

2.118

Total Knowledge

.103

1.700

1

.192

1.109

.949

1.295

Constant

-4.367

3.213

1

.073

.013

 

 

a. Variable(s) entered on step 1: Age, Gender, Income, Education, Employment Situation, Total Practice, Total attitude, Total Knowledge.