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. 2020 Nov 9;20:336. doi: 10.1186/s12906-020-03131-y

Table 2.

Results of bivariate and multivariate logistic regression

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)

OR is odds ratio and HDI is the human development index

Crude OR represents the odds ratio in a bivariate model with a single predictor

Adjusted OR represents odds ratios in the multivariate model with all predictors entered simultaneously into the model