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Table 3 Factors associated with malaria in Hadhramout governorate of Yemen

From: Malaria in Hadhramout, a southeast province of Yemen: prevalence, risk factors, knowledge, attitude and practices (KAPs)

Characteristics

Examined

Infected (%)

OR (95%CI)

Age (years)

   

    >15

393

79 (20)

1

    10 – 15

142

25 (17.6)

0.85 (0.51 – 1.40)

    5 - 9

152

30 (19.7)

0.98 (0.61 – 1.56)

    <5

48

4 (8.3)

0.36 (0.13 – 1.04)

Gender

   

    Female

312

52 (16.7)

1

    Male

423

86 (20.3)

1.04 (0.98 – 1.12)

Education level household’s head

  

    Secondary school & above

34

1 (2.9)

1

    Primary school

356

83 (23.3)

10.1 (1.35 – 74.5)

    Not educated

345

54 (15.7)

6.12 (0.82 – 45.7)

Occupation of household’s head*

  

    Government employees

76

4 (5.3)

1

    Not working

180

28 (15.6)

3.31 (1.12 – 9.80)

    Farmer

453

96 (21.2)

4.84 (1.73 – 13.6)

    Fisherman

26

10 (38.5)

11.3 (3.13 – 40.5)

Family size

   

    >5 members

290

49 (16.9)

1

    ≤5 members

445

89 (20)

1.23 (0.84 – 1.81)

House wall*

   

    Mud

221

26 (11.8)

1

    Uncemented bricks

514

112 (21.8)

2.1 (1.32 – 3.30)

Material of house floor

   

    Cement

120

19 (15.8)

1

    Mud

615

119 (19.3)

1.27 (0.75 – 2.16)

Availability of toilet

   

    Yes

284

42 (14.8)

1

    No

451

96 (21.3)

1.6 (1.05 – 2.32)

Distance to the nearest water collection

  

    > 200 meters

295

44 (14.9)

1

    ≤ 200 meters

440

146 (18.6)

1.6 (1.05 – 2.30)

Availability of electricity

   

    Yes

379

66 (17.4)

1

    No

356

72 (20.2)

1.04 (0.97 – 1.11)

Availability of fridge

   

    Yes

295

44 (14.9)

1

    No

440

94 (21.4)

1.6 (1.05 – 2.30)

Availability of TV

   

    Yes

295

44 (14.9)

1

    No

440

94 (21.4)

1.6 (1.05 – 2.30)

Availability of radio

   

    Yes

385

70 (18.2)

1

    No

350

68 (19.4)

1.02 (0.95 – 1.09)

Availability of telephone

   

    Yes

43

8 (18.6)

1

    No

692

130 (18.8)

1.0 (0.87 – 1.16)

  1. *Variables confirmed as significant factors associated with malaria using stepwise forward logistic regression.