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Table 2 Multilevel logistic regression of individual, community and region level correlates of ITN use

From: Individual, community and region level predictors of insecticide-treated net use among women in Uganda: a multilevel analysis

  Model 1 Model 2 Model 3 Model 4
  OR [95% CrI] OR [95% CrI] aOR [95% CrI]
Fixed effect
 Individual level
  Age
   15–19   0.40[0.320.50]*** 0.41[0.330.51]** 0.39[0.310.49]***
   20–24   0.67[0.540.83]*** 0.70[0.560.87]** 0.66[0.510.84]***
   25–29   0.87[0.69–1.09] 0.90[0.72–1.13] 0.86[0.67–1.10]
   30–34   1.08[0.86–1.36] 1.13[0.90–1.42] 1.07[0.83–1.38]
   35–39   1.07[0.84–1.35] 1.10[0.86–1.41] 1.05[0.80–1.37]
   40–44   0.96[0.74–1.24] 0.99[0.76–1.28] 0.94[0.72–1.23]
   45–49   Ref Ref Ref
  Education     
   No education   0.70[0.520.94]** 0.77[0.581.01] 0.72[0.540.96]*
   Primary   0.86[0.66–1.11] 0.93[0.72–1.19] 0.86[0.68–1.10]
   Secondary   0.92[0.71–1.18] 0.99[0.78–1.26] 0.93[0.73–1.18]
   Higher   Ref Ref Ref
  Household wealth index     
   Poor   1.64[1.541.76]*** 1.65[1.541.78]*** 1.66[1.551.80]**
   Middle   1.83[1.711.97]** 1.83[1.711.96]** 1.84[1.721.98]***
   Rich   Ref Ref Ref
  Pregnancy status     
   No or not sure   0.93[0.78–1.11] 0.97[0.81–1.15] 0.94[0.79–1.12]
   Pregnant   Ref Ref Ref
  Mosquito bite causes malaria     
   No   0.90[0.811.01] 0.91[0.821.01] 0.90[0.811.00]
   Yes   Ref Ref Ref
  Sleeping under mosquito net prevents malaria     
   No   Ref Ref Ref
   Yes   1.12[0.99–1.26] 1.13[1.01–1.26]* 1.11[1.05–1.24]**
  Destroying mosquito breeding site can prevent malaria     
   No   0.87[0.760.99]* 0.87[0.750.99]* 1.85[1.751.98]*
   Yes   Ref Ref Ref
  Household size     
   Less than 5   0.66[0.590.74]*** 0.66[0.590.75]** 0.66[0.580.74]***
   5 or more   Ref Ref Ref
 Community level factors     
  Residence     
   Urban   0.87[0.59–1.29] 0.93[0.55–1.56] 0.72[0.44–1.18]
   Rural   0.76[0.54–1.06] 0.77[0.49–1.22] 0.63[0.410.98]*
 Refugee settlements   Ref Ref Ref
  Socio-economic disadvantage     
   Tertile 1 (least disadvantaged)    Ref Ref
   Tertile 2    1.04[0.84–1.29] 1.02[0.82–1.26]
   Tertile 3 (most disadvantaged)    0.87[0.66–1.16] 0.89[0.67–1.18]
  Region     
   Eastern    1.71[0.94–3.11] 1.30[0.70–2.42]
   Northern    2.20[1.154.24] 5.08[1.9513.20]***
   Western    2.22[0.99–4.95] 1.35[0.69–2.63]
   Southern    Ref Ref
 Region level factors     
  Socio-economic disadvantage     
   Tertile 1 (least disadvantage)     Ref
   Tertile 2     1.26[0.79–1.99]
   Tertile 3 (most disadvantaged)     0.33[0.140.74]***
 Measures of variation     
  Region level     
   Variance (SE) 2.342[1.869–2.936] 0.168[0.061–0.391] 0.181[0.050–0.469] 0.052[0.003–0.175]
   ICC (%) 39.1[35.7–44.2] 32[27.8–36.1] 37.45[32.74–43.27] 46.29[42.13–52.62]
   MOR 4.30[3.68–5.13] 4.19[3.82–4.53] 3.98[3.22–4.31] 4.28[3.99–4.58]
   Explained variation (%) Reference 52.86[48.41–59.34] 48.72[42.74–54.79] 68.11[63.41–72.63]
  Community level     
   Variance (SE) 0.349[0.068–0.414] 0.344[0.259–0.448] 0.352[0.269–0.450] 0.352[0.270–0.447]
   ICC (%) 45.20[37.0–50.4] 37.62[31.39–42.85] 44.21[38.74–47.31] 48.41[40.55–52.17]
   MOR 1.76[1.28–1.85] 2.38[2.04–3.02] 3.54[3.12–4.11] 3.57[3.13––4.11]
   Explained variation (%) Reference 41.62[38.43–50.8] 39.51[33.59–43.29] 40.32[37.66–46.23]
 Model fit statistics
 Bayesian DIC 10,345.46 10,073.41 10,073.12 10,072.31
 N 7798 7798 7798 7798
  1. DIC Deviation information criterion, CrI credible interval, ICC intra-cluster correlation, MOR median odds ratio, SE standard error
  2. * p < 0.05, ** p < 0.01, *** p < 0.001