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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