Community-Based Risk Communication Survey: Risk Prevention Behaviors in Communities during the H1N1 crisis, 2010

Kim, Soo Jeong; Han, Jin A.; Lee, Tae-Yong; Hwang, Tae-Yoon; Kwon, Keun-Sang; Park, Ki Soo; Lee, Kyung Jong; Kim, Moon Shik; Lee, Soon Young

Finally, we evaluated the factors associated with the preventive behavior scores using multiple linear regression models. In particular, we aimed to evaluate the independent effects of perceived effectiveness and anxiety on the scores. Model 1 included general participant characteristics as independent variables. Model 2 was the same as Model 1, with the addition of health behaviors and physician-diagnosed chronic diseases. In Model 3, ILI, perceived effectiveness, and anxiety were added to the suite of variables included in Model 2. All of the models were statistically significant, and the adjusted R 2 values were 0.227, 0.239, and 0.367 respectively. Sex, region, age, marital status, housing, and education (! 7 years) were significant predictors of behavior scores in all models (all p < 0.05). After controlling for these variables, moderate (b Z 2.529, p < 0.001) and high (b Z 3.577, p < 0.001) perceived effectiveness scores were associated with higher preventive behavior scores. Similarly, moderate (b Z 1.516, p < 0.001) and high (b Z 4.103, p < 0.001) anxiety scores were associated with higher preventive behavior scores (Table 4 ). Additionally, we surveyed H1N1 information channels, and the participants trust in them ( Figure 2 ). Most participants (88.5%) obtained H1N1 information through media such as TV, radio, and newspapers. However, this the most trusted source of information for only 29.9% of participants. The highest proportion of trust (37.7%) was in information from health care providers ( Figure 2 ).