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Table 1 Demographic and socioeconomic characteristics of all occupants in surveyed households

From: Field assessment of a novel spatial repellent for malaria control: a feasibility and acceptability study in Mondulkiri, Cambodia

 

Ou Chra n (%)

Pu Char n (%)

Totals n (%)

p value

Age group (years)a

0.241

 < 5

12 (8.9)

48 (15.3)

60 (13.4)

 

 5–12

37 (27.4)

73 (23.3)

110 (24.6)

 

 13–35

62 (45.9)

130 (41.5)

192 (42.9)

 

 > 35

24 (17.8)

62 (19.8)

86 (19.2)

 

Gendera

0.952

 Female

66 (48.9)

154 (49.2)

220 (49.1)

 

 Male

69 (51.1)

159 (50.8)

228 (50.9)

 

Educationa

 (Some) primary

67 (49.6)

149 (47.6)

216 (48.2)

0.706

 (Some) secondary or other

18 (13.3)

36 (11.5)

54 (12.05)

 

 No education

50 (37.0)

128 (40.9)

178 (39.7)

 

Occupationa

0.468

 Farmer

65 (48.2)

153 (48.9)

218 (48.7)

 

 Student or child

58 (43.0)

142 (45.4)

200 (44.64)

 

 Other or none

12 (8.9)

18 (5.6)

30 (6.7)

 

Residency statusb

1.000

 Resident

134 (100)

311 (99.4)

445 (99.6)

 

 Visitor

0

2

2 (0.5)

 

Own at least onea

 TV

13 (43.3)

20 (35.1)

33 (37.9)

0.451

 Radio

7 (23.3)

8 (14.0)

15 (17.2)

0.275

 Mobile phone

15 (50)

40 (70.18)

55 (63.22)

0.064

 Bicycle

5 (16.7)

4 (7.0)

9 (10.3)

0.160

 Moto

26 (86.7)

73.7

68 (78.2)

0.164

 Tractor

14 (46.7)

17 (29.8)

31 (35.6)

0.119

HH socio-economic statusa

0.137

 1 (poorest)

9 (30.0)

20 (35.1)

29 (33.3)

 

 2 (poor)

7 (23.3)

22 (38.6)

29 (33.3)

 

 3 (least poor)

14 (46.7)

15 (26.3)

29 (33.3)

 
  1. aChi square
  2. bFisher’s exact test