Table 4 Multivariable logistic regression analysis for predictors of good perception of Lassa fever among study participants (n = 2150).
From: Lassa fever in Nigeria: epidemiology and risk perception
Characteristics | Risk Perception level | OR (95% CI) | p-value | Adjusted OR (95% CI) | p-value | |
|---|---|---|---|---|---|---|
Good (%) | Poor (%) | |||||
Age | ||||||
>60 | 65 (58.04) | 47 (41.96) | Ref | 0.043 | Ref | 0.765 |
18-29 | 520 (66.58) | 261 (33.42) | 1.44(0.96,2.15) | 1.03(0.59,1.80) | ||
30-39 | 380 (63.76) | 216 (36.24) | 1.27(0.84,1.91) | 1.13(0.65,1.96) | ||
40-49 | 283 (67.70) | 135 (32.30) | 1.51(0.98,2.32) | 1.25(0.71,2.20) | ||
50-59 | 141 (58.02) | 102 (41.98) | 0.99(0.63,1.57) | 1.08(0.59,1.96) | ||
Gender | ||||||
Female | 717 (62.35) | 433 (37.65) | Ref | 0.019 | Ref | 0.097 |
Male | 672 (67.2) | 328 (32.8) | 1.24(1.03,1.47) | 1.19(0.97,1.46) | ||
Education | ||||||
No formal education | 28 (13.40) | 181 (86.60) | Ref | <0.01 | Ref | <0.001 |
Primary and Secondary education | 301 (63.91) | 170 (36.09) | 11.45( 7.37,17.77) | 10.36(6.37,16.83) | ||
Tertiary education | 1060 (72.11) | 410 (27.89) | 16.71(11.04,25.28) | 17.32(10.62,28.26) | ||
Lassa Fever Burden | ||||||
High | 793 (69.44) | 349 (30.56) | Ref | <0.01 | Ref | 0.049 |
Low | 596 (59.13) | 412 (40.87) | 0.64(0.53,0.76) | 0.59(0.38,0.91) | ||
Tribe | ||||||
Hausa Fulani | 384 (62.04) | 235 (37.96) | Ref | 0.007 | Ref | 0.847 |
Igbo | 220 (73.09) | 81 (26.91) | 1.6 (1.22,0.24) | 1.14(0.62,2.09) | ||
Yoruba | 472 (63.70) | 269 (36.30) | 1.07(0.86,1.33) | 1.15(0.77,1.69) | ||
Others | 313 (64.01) | 176 (35.99) | 1.08(0.85,1.39 | 1.20(0.74,1.91) | ||
Religion | ||||||
Christianity | 738 (68.40) | 342 (31.60) | Ref | <0.001 | Ref | 0.020 |
Islam | 640 (61.54) | 400 (38.46) | 0.74(0.62,0.88) | 0.99(0.76,1.29) | ||
Others | 11 (36.67) | 19 (63.33) | 0.27(0.13,0.57) | 0.26(0.10,0.67) | ||
State of residence | ||||||
Abia | 76 (71.03) | 31 (28.97) | Ref | <0.001 | Ref | <0.001 |
Adamawa | 131 (74.01) | 46 (25.99) | 1.16(0.68,1.98) | 1.72(0.94,3.16) | ||
Akwa Ibom | 45 (77.59) | 13 (22.41) | 1.41(0.67,2.97) | 1.38(0.65,2.91) | ||
Bauchi | 69 (68.32) | 32 (31.68) | 0.88(0.47,1.58) | 0.86(0.44,1.64) | ||
Benue | 98 (53.26) | 86 (46.74) | 0.46(0.27,0.77) | 0.73(0.42,1.26) | ||
Ebonyi | 203 (77.78) | 58 (22.22) | 1.43(0.86,2.37) | 3.28(1.82,5.92) | ||
Imo | 43 (67.19) | 21 (32.81) | 0.83(0.42,0.62) | 0.80(0.41,1.58) | ||
Kogi | 45 (86.54) | 5 (13.46) | 2.6(1.07,6.44) | 2.50(1.00,6.25) | ||
Kwara | 150 (45.73) | 178 (54.27) | 0.34(0.21,0.55) | 0.48(0.28,0.82) | ||
Nasarawa | 34 (30.36) | 78 (69.64) | 0.17(0.09,0.32) | 1.03(0.50,2.14) | ||
Ondo | 175 (74.15) | 61 (25.85) | 1.17(0.70,1.94) | 1.17(0.70,1.96) | ||
Osun | 72 (65.45) | 38 (34.55) | 0.77(0.43,1.37) | 0.78(0.43,1.41) | ||
Taraba | 248 (68.89) | 112 (31.12) | 0.90(0.56,1.45) | 1.01(0.61,1.69) | ||
