Skip to main content

Table 3 The associations between experience of intimate partner violence during the past 12 months and socio-demographic characteristics among ever-partnered women in Mwanza, Tanzania

From: Prevalence of intimate partner violence and abuse and associated factors among women enrolled into a cluster randomised trial in northwestern Tanzania

  

Physical and/or sexual violence

Physical violence

Sexual violence

N

Percent

Exact 95% CI

Percent

Exact 95% CI

Percent

Exact 95% CI

Age

 Less than 30 yrs

143

42.0

33.8

50.5

31.5

24.0

39.8

25.2

18.3

33.1

 30–34 yrs

150

35.3

27.7

43.5

28.0

21.0

35.9

22.7

16.2

30.2

 35–39 yrs

234

28.2

22.5

34.4

20.9

15.9

26.7

17.9

13.3

23.5

 40–49 yrs

331

23.3

18.8

28.2

15.1

11.4

19.4

14.8

11.2

19.1

 50+ yrs

163

9.2

5.2

14.7

4.9

2.1

9.4

6.1

3.0

11.0

Level of education

 No formal education

59

27.1

16.4

40.3

18.6

9.7

30.9

16.9

8.4

29.0

 Primary

738

27.9

24.7

31.3

20.5

17.6

23.6

17.5

14.8

20.4

 Secondary

200

23.0

17.4

29.5

15.5

10.8

21.3

14.5

9.9

20.2

 Post-secondary education

24

12.5

2.7

32.4

4.2

0.1

21.1

12.5

2.7

32.4

Marital status

 Married/living with man as if married

743

30.6

27.3

34.0

22.6

19.6

25.8

19.2

16.5

22.3

 Divorced/separated

151

17.9

12.1

24.9

13.2

8.3

19.7

10.6

6.2

16.6

 Widowed

100

9.0

4.2

16.4

2.0

0.2

7.0

8.0

3.5

15.2

 Never married

27

29.6

13.8

50.2

14.8

4.2

33.7

14.8

4.2

33.7

Monthly earningsa

 No personal earnings

31

22.6

9.6

41.1

9.7

2.0

25.8

16.1

5.5

33.7

 Less than USD 60

247

33.2

27.4

39.4

26.3

20.9

32.3

20.2

15.4

25.8

 USD 60 to 179

303

26.1

21.2

31.4

18.8

14.6

23.7

16.5

12.5

21.2

 USD 180 to 499

165

17.6

12.1

24.3

12.1

7.6

18.1

12.1

7.6

18.1

 above USD 500

252

25.8

20.5

31.7

17.9

13.3

23.2

14.7

10.6

19.7

 Don’t know earnings

23

39.1

19.7

61.5

17.4

5.0

38.8

39.1

19.7

61.5

Partner’s age

 Less than 30 yrs

36

33.3

18.6

51.0

25.0

12.1

42.2

19.4

8.2

36.0

 30–34 yrs

80

47.5

36.2

59.0

38.8

28.1

50.3

27.5

18.1

38.6

 35–39 yrs

148

35.8

28.1

44.1

25.7

18.9

33.5

25.0

18.3

32.8

 40–49 yrs

343

28.0

23.3

33.1

20.4

16.3

25.1

15.7

12.1

20.0

 50+ yrs

329

17.3

13.4

21.9

10.6

7.5

14.5

12.5

9.1

16.5

 Don’t know

85

17.6

10.2

27.4

12.9

6.6

22.0

11.8

5.8

20.6

Partner’s education

 No formal education

16

43.8

19.8

70.1

31.3

11.0

58.7

25.0

7.3

52.4

 Primary

567

29.5

25.7

33.4

22.4

19.0

26.1

18.9

15.7

22.3

 Secondary

316

24.1

19.4

29.2

15.8

12.0

20.3

14.6

10.9

18.9

 Post-secondary education

85

20.0

12.1

30.1

11.8

5.8

20.6

12.9

6.6

22.0

 Don’t know

37

10.8

3.0

25.4

5.4

0.7

18.2

8.1

1.7

21.9

Respondent’s number of children under 18 years

 No children

73

16.4

8.8

27.0

5.5

1.5

13.4

13.7

6.8

23.8

 1 Child

151

23.2

16.7

30.7

12.6

7.7

19.0

15.2

9.9

22.0

 2 Children

192

25.5

19.5

32.3

19.8

14.4

26.1

15.1

10.4

21.0

 3 Children

225

31.6

25.5

38.1

23.1

17.8

29.2

20.9

15.8

26.8

 4 Children

170

25.9

19.5

33.1

18.8

13.2

25.5

14.1

9.3

20.3

 5 or more children

210

28.6

22.6

35.2

23.3

17.8

29.6

18.1

13.1

24.0

Socio-economic status quintileb

 1st

192

29.7

23.3

36.7

21.9

16.2

28.4

20.3

14.9

26.7

 2nd

174

32.8

25.8

40.3

24.1

18.0

31.2

21.8

15.9

28.7

 3rd

209

19.6

14.5

25.7

12.9

8.7

18.2

13.9

9.5

19.3

 4th

198

26.8

20.7

33.5

20.7

15.3

27.0

13.1

8.8

18.6

 5th

194

24.2

18.4

30.9

18.0

12.9

24.2

12.9

8.5

18.4

 Unknown

54

29.6

18.0

43.6

13.0

5.4

24.9

25.9

15.0

39.7

  1. aParticipants reported their earnings in Tanzanian shillings in terms of either daily, weekly or monthly income. Reported daily and weekly earnings were converted to monthly earnings on the assumption that each participant worked for 22 days per month. The conversion to US Dollars (USD) was based on the exchange rate at the time of data collection (1USD = 1,887 Tanzanian shillings). bA higher quintile indicates higher socio-economic status. The socio-economic status indicator was derived as a latent variable from 19 indicators collected in the questionnaire including education, earnings and household ownership of car, fridge, television and motorcycle