Table 5

Significant independent predictors of dependent variables

Dependent variable predictors (n = 201)

Adjusted OR (95% CI)

Wald

statistic*

p


Thought about pandemic influenza (A lot)

Model R2 = 0.18

Risk of pandemic influenza (ref: Unlikely/very unlikely/don't know)

Likely or very likely

5.1 (2.4 – 10.8)

17.39

<0.001

Location (reference: Non-capital city)

Capital city

3.2 (1.2 – 8.4)

5.51

0.02

Need help (Yes)

Model R2 = 0.27

Risk to business (ref: Low risk/no risk/no idea)

Moderate or High

3.3 (1.7 – 6.3)

13.3

<0.001

State (reference: WA)

NSW

3.3 (1.7 – 6.4)

12.7

<0.001

Industry type (ref: Tertiary: other)

11.3

0.01

Primary or secondary

0.8 (0.3 – 2.6)

0.13

0.72

Tertiary: property and business services

0.4 (0.2 – 0.9)

5.04

0.03

Tertiary: retail trade

0.3 (0.1 – 0.7)

8.94

0.003

Pandemic influenza plan (Yes)

Model R2 = 0.20

Severity of pandemic influenza (ref: < 30% sick/no idea)

30% or more sick

9.3 (1.2 – 73.9)

4.47

0.04

Response efficacy (reference: low)

High

8.1 (1.0 – 64.4)

3.92

0.048


*The Wald statistic indicates whether the independent variable is significantly associated with the dependent variable

Odds ratio (OR)

Watkins et al. BMC Public Health 2007 7:157   doi:10.1186/1471-2458-7-157

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