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. 2025 Nov 28;25:16. doi: 10.1186/s12936-025-05698-8

Table 4.

Bivariable and multivariable analysis factors associated with ITN utilization in Bibugn district, Northwest Ethiopia, 2024 (n = 492)

Variables ITN utilization
Yes No COR (95%CI) AOR (95% CI) p value
Sex of the respondent
 Male 213 67 1 1 0.003
 Female 138 74 1.704 (1.239, 3.613) 1.538 (1.157, 3.135)
Age group
 18–24 66 21 1.571 (0.263, 2.639) 0.618 (0.278, 1.998) 0.653
 25–44 175 55 1.591 (1.104, 2.794) 0.762 (0.364, 1.873) 0.714
 45–64 106 63 0.841 (0.396, 1.948) 0.857 (0.389, 1.887) 0.097
 > 64 4 2 1 1
Residence
 Urban 72 27 1.089 (0.673, 3.108) 1.179 (0.541, 2.798) 0.543
 Rural 279 114 1 1
Educational status
 Can’t read and write 127 72 0.057 (0.014, 0.581) 0.237 (0.026, 0.871) 0.001
 Able to read and write 68 27 0.387 (0.127, 1.24) 0.583 (0.142, 1.891) 0.182
 Elementary education 92 28 0.505 (0.132, 0.952) 0.633 (0.131, 1.362) 0.215
 Secondary education 38 10 0.584 (0.128, 2.112) 0.785 (0.135, 1.993) 0.411
 College and above 26 4 1 1
Monthly income
 < 500 41 36 0.342 (0.043, 0.649) 1.372 (1.038, 3.184) 0.002
 500–1000 26 19 0.414 (0.162, 1.342) 1.231 (0.594, 2.854) 0.274
 > 1000 284 86 1 1
Having information about ITNs and its benefits
 Yes 271 112 0.877 (0.428, 0.994) 1.310 (1.125, 3.229) 0.000
 No 80 29 1 1
Knowledge of the respondents
 Good 209 60 1.986 (1.1361, 3.145) 1.178 (0.642, 1.681) 0.543
 Poor 142 81 1 1

Bold values indicate statistically significant results, meaning the association is unlikely to be due to chance (p 0.05)

(p < 0.05) statistically significant