Table 3

 Multivariate analysis of factors that are associated with public health behaviours for SARS prevention in mainland China

Model 1: dependent variable = wearing masks in mainland China*Model 2: dependent variable = frequency of washing hands in mainland China†Model 3: dependent variable =  avoid visiting crowded places in mainland China‡
ORm95% CIp ValueORm95% CIp ValueORm95% CIp Value
ORm, multivariate odds ratio, derived from multiple logistic regression with forward stepwise selection of univariately significant variables listed in table 2; *1 = all/most of the time v occasional and 0 = never; †1 = 10 times or more per day and 0–9 times per day; ‡1 = yes and 0 = no.
Gender
Male1.0
Female2.061.43 to 2.96<0.001
Duration of stay in the travel destination (number of nights)
Day trip1.01.0
1–70.320.20 to 0.51<0.0011.841.28 to 2.650.001
>80.070.01 to 0.360.0012.391.44 to 3.960.001
Travelled to other
Guangdong cities
Yes1.791.13 to 2.830.013
No1.0
Frequency of wearing masks in Hong Kong
Occasional/never1.01.0
All/most of the time7.013.87 to 12.70<0.0011.991.35 to 2.950.001
Reasons for mask wearing in mainland China
To protect oneself1.0
To protect others0.380.18 to 0.800.012
Both1.180.75 to 1.860.464
Perceived efficacy of wearing masks for prevention of SARS
Moderate/low/very low1.0
High/very high1.711.11 to 2.650.016
Perceived risk of Hong Kong residents contracting SARS in Shenzhen
Moderate/low/very low1.0
High/very high2.411.55 to 3.75<0.001
Perceived fatality caused by SARS
Moderate/low/very low1.0
High/very high1.591.02 to 2.460.039