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Table 1 Characteristics of 294 pregnant women seeking antenatal care in Kumasi, Ghana

From: Reported bed net ownership and use in social contacts is associated with uptake of bed nets for malaria prevention in pregnant women in Ghana

Characteristic

All women (n = 294)

Bed net owner (n = 227)

Bed net non-owner (n = 67)

Bed net user (n = 137)

Bed net non-user (n = 90)

Age (years), mean (SD)

26.7 (5.65)

27.0 (5.6)

25.7 (5.8)

27.5 (5.3)

26.2 (5.9)

Marital status, n (%)

 Married

159 (54.1)

126 (55.5)

33 (49.3)

84 (61.3)*

42 (46.7)

 Unmarried

135 (45.9)

101 (44.5)

34 (50.7)

53 (38.7)

48 (53.3)

Education level, n (%)

 None/primary/don’t know

57 (19.4)

38 (16.7)

19 (28.4)

28 (20.4)

10 (11.1)

 JSS/JHS

137 (46.6)

108 (47.6)

29 (43.3)

61 (44.5)

47 (52.2)

 SSS, SHS, vocational or tertiary

100 (34.0)

81 (35.7)

19 (28.4)

48 (35.0)

33 (36.7)

Malaria attitudes and perceptions, n (%)

 One or more advisors got malaria when they were pregnant

43 (14.6)

29 (12.8)

14 (20.9)

14 (10.22)

15 (16.7)

 Is worried about getting malaria

215 (73.1)

171 (75.3)

44 (65.7)

106 (77.4)

65 (72.2)

 Has heard about malaria in the last year

234 (80.0)

183 (80.6)

47 (70.2)

116 (84.7)

67 (74.4)

 Knows someone who died from malaria

40 (13.6)

34 (15.0)

6 (9.0)

20 (14.6)

14 (15.6)

 Has heard about using mosquito nets

281 (95.6)

217 (95.6)

64 (95.5)

131 (95.6)

86 (95.6)

Availability of bed nets, n (%)

 It is easy to obtain a free mosquito net during your pregnancy

  Yes

218 (74.1)

175 (77.1)*

43 (64.2)

111 (81.0)

64 (71.1)

  No/unsure

76 (25.9)

52 (22.9)

24 (35.8)

26 (19.0)

26 (28.9)

Number of advisors, n (%)

 0

21 (7.1)

19 (8.3)

2 (3.0)

14 (10.2)

5 (5.6)

 1

36 (12.2)

28 (12.3)

8 (11.9)

18 (13.4)

10 (11.1)

 2

52 (17.7)

42 (18.5)

10 (14.9)

29 (21.2)

13 (14.4)

 3

185 (61.9)

138 (60.7)

47 (70.1)

76 (55.5)

62 (68.9)

Influence Scorea, mean (SD)

1.15 (1.67)

1.23 (1.67)

0.85 (1.66)

1.51 (1.61)*

0.80 (1.67)

  1. * p < 0.05
  2. a \({\text{Influence Score}} = \sum\nolimits_{{{\text{n}} = 1}}^{\text{j}} {{\text{R}}_{\text{j}} *\left( {{\text{U}}_{\text{j}} + {\text{T}}_{\text{j}} } \right) * {\text{I}}_{\text{j}} }\)