Table 3 Predictors of risk communication usefulness (N = 1146)

 Male

1

1

 Female

2.14 (1.66, 2.75)

< 0.001

1.29 (0.92, 1.78)

0.140

  < 45 years

1

 45 years and above

1.16 (0.82, 1.64)

0.394

 Chinese

1

< 0.001

1

0.013

 Malay

1.30 (0.98, 1.71)

0.065

1.85 (1.28, 2.68)

0.001

 Indian

0.54 (0.38, 0.76)

< 0.001

1.35 (0.87, 2.09)

0.184

 Other

1.42 (0.69, 2.93)

0.346

1.44 (0.59, 3.50)

0.425

 Specialist

1

< 0.001

1

< 0.001

 General practitioner

1.84 (0.96, 3.55)

0.067

2.69 (1.06, 6.84)

0.038

 Medical officer

0.92 (0.59, 1.44)

0.703

1.07 (0.64, 1.79)

0.797

 Consultant

2.03 (1.10, 3.76)

0.023

2.06 (1.07, 3.99)

0.032

 Pharmacist

13.97 (9.21, 21.17)

< 0.001

18.17 (10.98, 30.07)

< 0.001

 Private- community

1

< 0.001

1

0.013

 Private- hospital

1.76 (0.94, 3.30)

0.077

1.96 (0.83, 4.61)

0.124

 Public- community

1.30 (0.809, 2.08)

0.281

1.53 (0.73, 3.20)

0.257

 Public- hospital

1.14 (0.76, 1.71)

0.537

1.54 (0.80, 2.97)

0.192

 Public- administrative

3.18 (1.86, 5.42)

< 0.001

3.64 (1.66, 7.99)

0.001

 Pharma industry

7.80 (2.24, 27.09)

0.001

4.61 (1.08, 19.72)

0.039

 Others

1.61 (0.46, 5.67)

0.456

1.93 (0.43, 8.62)

0.388

 Urban

1

1

 Rural

1.61 (1.12, 2.32)

0.010

1.71 (1.08, 2.72)

0.023

  < 5 years

1

0.166

1

< 0.001

 5 to 9 years

1.02 (0.67, 1.56)

0.917

1.12 (0.65, 1.91)

0.692

 10 to 29 years

1.35 (0.93, 1.98)

0.117

2.63 (1.57, 4.42)

< 0.001

 30 years and above

1.32 (0.66, 2.66)

0.433

4.89 (1.98, 12.08)

0.001

 No

1

1

 Yes

2.66 (2.07, 3.41)

< 0.001

1.60 (1.16, 2.21)

0.004

 Bahasa Melayu

1

 English

1.11 (0.79, 1.57)

0.545