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Table 2 Weighted distribution of study participants’ characteristics

From: Cox proportional hazard-model application: time to cervical cancer screening among women living with HIV in South Africa

Independent variables

Frequency

Percentage

Explanatory variable

CCS

Yes

2177

36

No

3890

64

Socio-demographic variables

Age

15–19

722

12

20–24

683

11

25–29

706

12

30–34

620

10

35–39

523

9

40–44

464

8

45–49

451

7

50 + 

1898

31

Race

Black/Africa

5128

85

White

256

4

Coloured

602

10

Indian, Asian and Other

81

1

Province

  

Western Cape

474

8

Eastern Cape

791

13

Northern Cape

518

9

Free State

641

11

KwaZulu-Natal

965

16

North West

574

9

Gauteng

555

9

Mpumalanga

696

11

Limpopo

853

14

Area of residence

Urban

3327

55

Rural

2740

45

Marriage

Not married

3052

50

Married

3015

50

Educational attainment

No education

569

9

Primary

1032

17

Secondary

3902

64

Higher

564

9

Employment

  

Unemployed

4331

71

Employed

1736

29

Health/Risk factors

Cigarette smoking frequency

Does not smoke

5579

92

Every day

399

7

Some days

89

1

Alcohol consumption

Yes

1562

26

No

4505

74

Perception of own health

Poor

780

13

Average

2021

33

Good

2474

41

Excellent

792

13

Health insurance

Yes

828

14

No

5239

86