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Table 1 Distribution of sample population across the explanatory variables (sociodemographic and source of malaria information)

From: Mass media exposure and its impact on malaria prevention behaviour among adult women in sub-Saharan Africa: results from malaria indicator surveys

 

N = 46,822

% (95%CI)

Slept under ITN last night (67.9, 95%CI = 66.2–69.2)

Took antimalarial drug in last pregnancy (72.8, 95%CI = 71.3–74.2)

Age group

 Mean = 28.32 (SD 9.04)

  15–19

9093

19.2%, (18.5–19.9)

17.5%, (16.7–18.2)

7.3%, (6.9–7.8)

  20–24

8797

18.3%, (17.8–18.9)

18.6, (18.0–19.2)

22.4%, (21.7–23.2)

  25–29

8662

18.8%, (18.3–19.2)

19.4%, (18.8–19.9)

25.7%, (25.0–26.5)

  30–34

7240

15.6%, (15.1–16.1)

15.9%, (15.3–16.5)

21.4%, (20.7–22.1)

  35–39

5934

13%, (12.5–13.5)

13.7%, (13.0–14.3)

14.7%, (14.1–15.2)

  40–44

4137

8.8%, (8.5–9.2)

8.8%, (8.4–9.2)

6.4%, (5.9–6.8)

  45–49

2959

6.3%, (6–6.5)

6.3%, (6.0–6.5)

2.1%, (1.9–2.4)

  p-value

  

< 0.001

0.047

Setting

 Urban

15,083

34.1%, (26.5–42.7)

71.2%, (61.5–79.2)

70.0%, (67.3–72.6)

 Rural

31,739

65.9%, (57.3–73.5)

28.8%, (20.8–38.5)

30.0%, (27.4–32.7)

p-value

  

< 0.001

< 0.001

Education

 No education

19,771

39.6%, (35.6–43.6)

7.0%, (6.0–8.2)

3.7%, (3.2–4.3)

 Primary

10,247

22.8%, (21.0–24.6)

22.7%, (20.1–25.5)

23.0%, (21.6–24.4)

 Secondary

11,740

28.5%, (25.7–31.4)

23.1%, (21.0–25.3)

22.7%, (21.5–23.9)

 Higher

5064

9.2%, (7.9–10.7)

47.2%, (43.2–51.3)

50.6%, (48.7–52.6)

p-value

  

0.003

< 0.001

Religion

 Islam

21,935

50.1%, (44.4–55.8)

49.0%, (42.0–56)

49.5%, (47.2–51.8)

 Christian

16,608

35.5%, (30.6–40.8)

37.9%, (31.8–44.3)

32.1%, (30.2–34.0)

 Other

8279

14.3%, (11.4–17.8)

13.1%, (10.4–16.5)

18.5%, (16.7–20.3)

p-value

  

< 0.001

< 0.001

Wealth index

 Poorest

9720

20.9%, (16.7–25.8)

17.7%, (11.2–26.9)

18.6%, (17.3–19.9)

 Poorer

9182

18.3%, (16.2–20.7)

18.1%, (16.0–20.4)

20.0%, (18.9–21.2)

 Middle

9274

19.4%, (17.5–21.4)

20.3%, (18.2–22.6)

21.0%, (19.9–22.1)

 Richer

9253

19.8%, (17.6–22.3)

20.5%, (18.1–23.1)

20.4%, (19.1–21.8)

 Richest

9393

21.6%, (15.5–29.2)

23.4%, (18.7–28.8)

20.0%, (18.0–22.0)

p-value

  

0.019

< 0.001

Typesof media to receive malaria information

 TV

  No

38,801

84.1%, (79.1–88.1

84.9%, (78.70–89.6)

78.6%, (76.9–80.1)

  Yes

8021

15.9%, (11.9–20.9

15.1%, (10.4–21.3)

21.4%, (19.9–23.1)

  p-value

  

< 0.001

< 0.001

 Radio

  No

26,267

56.1%, (54.7–57.4)

48.2%, (46.8–49.6)

46.5%, (45.0–48.1)

  Yes

20,555

43.9%, (42.6–45.3)

51.8%, (50.4–53.2)

53.5%, (51.9–55.0)

  p-value

  

< 0.001

< 0.001

 Religious institutions

  No

42,233

90.2%, (89.1–91.1)

19.7%, (18.6–21.9)

31.9%, (30.8–32.1)

  Yes

4589

9.8%, (8.9–10.9)

80.3%, (78.1–81.4)

68.1%, (67.9–69.2)

  p-value

  

< 0.001

< 0.001

 Poster

  No

43,113

91.4%, (89.6–93.0)

9.7, (7.7–12.1)

11.1%, (9.9–12.3)

  Yes

3709

8.6%, (7.0–10.4)

90.3, (87.9–92.3)

88.9%, (87.7–90.1)

  p-value

  

< 0.001

< 0.001

 Community event

  No

43,477

92.4%, (90.6–93.9)

9.4, (7.4–11.8)

11.1%, (10.0–12.3)

  Yes

3345

7.6%, (6.1–9.4)

90.6, (88.2–92.6)

88.9%, (87.7–90.0)

  p-value

  

< 0.001

< 0.001

 Health worker

  No

35,354

74.4%, (71.6–77.1

33.1, (30.2–36.3)

63.2%, (61.4–65.0)

  Yes

11,468

25.6%, (22.9–28.4

66.9, (63.7–69.8)

36.8%, (35.0–38.6)

  p-value

  

< 0.001

< 0.001

  1. N.B. p significant at < 0.05