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Table 2 Results of bivariate and multivariate logistic regression

From: Exploring socioeconomic inequalities in the use of medicinal herbs among Iranian households: evidence from a national cross-sectional survey

Variables Crude OR (95% CI) Adjusted OR (95% CI)
Demographic variables
Sex of household head
  Male (ref.) 1 1
  Female 0.89 (0.72 to 1.10) 1.05 (0.83 to 1.32)
Age of household head
  15–45 (ref.) 1 1
   46–65 1.00 (0.85 to 1.18) 0.96 (0.80 to 1.15)
  66 and above 0.90 (0.73 to 1.10) 0.98 (0.78 to 1.24)
Socioeconomic variables
Education status of household head
  Illiterate (ref.) 1 1
  Primary school 1.30 (1.04 to 1.63) 1.12 (0.87 to 1.44)
  Secondary school 1.32 (1.06 to 1.65) 1.05 (0.81 to 1.37)
  High school 1.80 (1.44 to 2.25) 1.30 (0.98 to 1.72)
  Academic degree 1.84 (1.43 to 2.38) 1.27 (0.91 to 1.77)
Wealth index of households
  Poorest (ref.) 1 1
  Poor 1.48 (1.12 to 1.96) 1.31 (0.98 to 1.75)
  Middle 1.83 (1.39 to 2.43) 1.52 (1.13 to 2.04)
  Rich 2.04 (1.55 to 2.68) 1.60 (1.18 to 2.17)
  Richest 2.15 (1.64 to 2.84) 1.60 (1.16 to 2.20)
Ecological variables
Geographical area
  Urban (ref.) 1 1
  Rural 0.59 (0.50 to 0.69) 0.73 (0.63 to 0.87)
Province category based on HDI
  Low (ref.) 1 1
  Middle 1.33 (1.08 to 1.63) 1.23 (1.02 to 1.51)
  High 2.19 (1.78 to 2.68) 1.83 (1.48 to 2.27)
  1. OR is odds ratio and HDI is the human development index
  2. Crude OR represents the odds ratio in a bivariate model with a single predictor
  3. Adjusted OR represents odds ratios in the multivariate model with all predictors entered simultaneously into the model