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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