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Table 2 Binary logistic regression coefficients for participants’ intentions to use antibiotics on response status with adjustment for socio-economic status

From: Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?

 

Sore throat OR(95%CI)

Cold OR(95%CI)

Diarrhea OR(95%CI)

Fever OR(95%CI)

Group

 Non-IERPs

1.00

1.00

1.00

1.00

 IERPs

1.05 (0.91,1.20)

1.17 (1.02,1.35)*

1.19 (1.01,1.40)*

1.07 (0.95,1.21)

Residence

 Rural

1.00

1.00

1.00

1.00

 Urban

0.68 (0.59,0.79)***

0.79 (0.68,0.92)***

0.71 (0.59,0.84)***

0.92 (0.81,1.05)

Education level

 Low-education

1.00

1.00

1.00

1.00

 High-education

0.71 (0.60,0.84)***

0.46 (0.39,0.55)***

0.78 (0.65,0.95)*

0.72 (0.63,0.83)***

Household income per month

 Low-income

1.00

1.00

1.00

1.00

 High-income

0.84 (0.70,0.99)*

0.87 (0.74,1.04)

1.03 (0.85,1.26)

1.01 (0.87,1.16)

  1. *p < 0.05, **p < 0.01, ***p < 0.001