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Table 4 The associations between experience of intimate partner abuse 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

  

Controlling behaviour

Emotional abuse

Economic abuse

N

Percent

Exact 95% CI

Percent

Exact 95% CI

Percent

Exact 95% CI

Age

 Less than 30 yrs

143

76.9

69.1

83.6

48.3

39.8

56.8

33.6

25.9

41.9

 30–34 yrs

150

74.7

66.9

81.4

55.3

47.0

63.4

40.0

32.1

48.3

 35–39 yrs

234

67.5

61.1

73.5

40.2

33.8

46.8

35.9

29.8

42.4

 40–49 yrs

331

58.9

53.4

64.3

38.4

33.1

43.8

36.6

31.4

42.0

 50+ yrs

163

39.3

31.7

47.2

17.2

11.7

23.9

18.4

12.8

25.2

Level of education

 No formal education

59

61.0

47.4

73.5

39.0

26.5

52.6

37.3

25.0

50.9

 Primary

738

60.8

57.2

64.4

40.7

37.1

44.3

34.6

31.1

38.1

 Secondary

200

69.5

62.6

75.8

36.0

29.4

43.1

30.0

23.7

36.9

 Post-secondary education

24

62.5

40.6

81.2

25.0

9.8

46.7

25.0

9.8

46.7

Marital status

 Married/living with man as if married

743

70.5

67.1

73.8

46.3

42.7

50.0

36.6

33.1

40.2

 Divorced/separated

151

47.7

39.5

56.0

24.5

17.9

32.2

28.5

21.4

36.4

 Widowed

100

26.0

17.7

35.7

11.0

5.6

18.8

19.0

11.8

28.1

 Never married

27

63.0

42.4

80.6

33.3

16.5

54.0

33.3

16.5

54.0

Monthly earningsa

 No personal earnings

31

77.4

58.9

90.4

48.4

30.2

66.9

35.5

19.2

54.6

 Less than USD 60

247

59.1

52.7

65.3

44.1

37.8

50.6

35.6

29.7

41.9

 USD 60 to 179

303

58.7

53.0

64.3

36.6

31.2

42.3

37.3

31.8

43.0

 USD 180 to 499

165

63.6

55.8

71.0

37.6

30.2

45.4

26.1

19.5

33.5

 above USD 500

252

66.3

60.1

72.1

36.9

30.9

43.2

30.2

24.6

36.2

 Don’t know earnings

23

82.6

61.2

95.0

47.8

26.8

69.4

52.2

30.6

73.2

Partner’s age

 Less than 30 yrs

36

66.7

49.0

81.4

47.2

30.4

64.5

22.2

10.1

39.2

 30–34 yrs

80

80.0

69.6

88.1

51.2

39.8

62.6

26.3

17.0

37.3

 35–39 yrs

148

75.7

67.9

82.3

48.0

39.7

56.3

39.2

31.3

47.5

 40–49 yrs

343

65.3

60.0

70.3

42.3

37.0

47.7

38.2

33.0

43.6

 50+ yrs

329

55.0

49.5

60.5

31.6

26.6

36.9

30.1

25.2

35.4

 Don’t know

85

40.0

29.5

51.2

27.1

18.0

37.8

30.6

21.0

41.5

Partner’s education

 No formal education

16

56.3

29.9

80.2

43.8

19.8

70.1

50.0

24.7

75.3

 Primary

567

60.7

56.5

64.7

41.6

37.5

45.8

33.3

29.5

37.4

 Secondary

316

65.5

60.0

70.7

39.6

34.1

45.2

34.8

29.6

40.3

 Post-secondary education

85

70.6

59.7

80.0

30.6

21.0

41.5

28.2

19.0

39.0

 Don’t know

37

51.4

34.4

68.1

18.9

8.0

35.2

32.4

18.0

49.8

Respondent's number of children under 18 years

 No children

73

47.9

36.1

60.0

28.8

18.8

40.6

27.4

17.6

39.1

 1 Child

151

57.6

49.3

65.6

34.4

26.9

42.6

29.1

22.0

37.1

 2 Children

192

62.0

54.7

68.9

39.1

32.1

46.3

33.3

26.7

40.5

 3 Children

225

64.4

57.8

70.7

36.4

30.2

43.1

37.3

31.0

44.0

 4 Children

170

63.5

55.8

70.8

43.5

36.0

51.3

34.1

27.0

41.8

 5 or more children

210

69.0

62.3

75.2

46.2

39.3

53.2

34.8

28.3

41.6

Socio-economic status quintileb

 1st

192

57.3

50.0

64.4

42.2

35.1

49.5

29.7

23.3

36.7

 2nd

174

63.2

55.6

70.4

44.8

37.3

52.5

33.9

26.9

41.5

 3rd

209

64.1

57.2

70.6

34.9

28.5

41.8

33.5

27.1

40.3

 4th

198

62.1

55.0

68.9

37.4

30.6

44.5

31.8

25.4

38.8

 5th

194

61.3

54.1

68.2

35.6

28.8

42.7

36.6

29.8

43.8

 Unknown

54

79.6

66.5

89.4

48.1

34.3

62.2

42.6

29.2

56.8

  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