Table 6 |
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|
Multivariable analysis for possible influencing factors of attitude scores among urban residents in Shenzhen and rural villagers in Xiuning, China |
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|
Residents in Shenzhen (N = 1,826) |
||||
|
|
||||
|
Risk factors |
Coefficients |
Std. Error* |
t |
P value† |
|
|
||||
|
Constant |
2.224 |
0.216 |
10.275 |
<0.001 |
|
Female |
0.263 |
0.099 |
2.658 |
0.008 |
|
Age group |
||||
|
5-18# |
- |
- |
- |
- |
|
19-39 |
-0.011 |
-0.011 |
0.934 |
|
|
40-59 |
0.017 |
0.016 |
0.831 |
|
|
≥60 |
-0.517 |
0.223 |
-2.319 |
0.020 |
|
Highest level of education |
||||
|
None or kindergarten# |
- |
- |
- |
- |
|
Primary school |
0.479 |
0.155 |
3.087 |
0.002 |
|
Junior high school |
0.022 |
0.010 |
0.178 |
|
|
High school |
-0.281 |
0.122 |
-2.298 |
0.022 |
|
College or higher |
-0.655 |
0.145 |
-4.531 |
<0.001 |
|
Occupation |
||||
|
Employed# |
- |
- |
- |
- |
|
Unemployed |
0 |
0 |
0.988 |
|
|
Student |
-0.552 |
0.243 |
-2.273 |
0.023 |
|
Homemaker |
-0.031 |
-0.030 |
0.840 |
|
|
Retired |
-0.017 |
-0.014 |
0.606 |
|
|
Requiring further information of avian influenza |
||||
|
Yes# |
- |
- |
- |
- |
|
No |
-0.961 |
0.167 |
-5.753 |
<0.001 |
|
Don't care |
-0.815 |
0.123 |
-6.634 |
<0.001 |
|
Knowledge score |
0.144 |
0.023 |
6.194 |
<0.001 |
|
|
||||
|
Villagers in Xiuning (N = 2,572) |
||||
|
|
||||
|
Constant |
3.092 |
0.170 |
18.148 |
<0.001 |
|
Females |
0.286 |
0.078 |
3.667 |
<0.001 |
|
Highest level of education |
||||
|
None or kindergarten# |
- |
- |
- |
- |
|
Primary school |
0.014 |
0.015 |
0.987 |
|
|
Junior high school |
-0.021 |
-0.022 |
0.895 |
|
|
High school |
-0.022 |
-0.023 |
0.957 |
|
|
College or higher |
-0.864 |
0.473 |
-1.826 |
0.068 |
|
Requiring further information of avian influenza |
||||
|
Yes# |
- |
- |
- |
- |
|
No |
-1.563 |
0.287 |
-5.445 |
<0.001 |
|
Don't care |
-1.282 |
0.117 |
-10.992 |
<0.001 |
|
Knowledge score |
0.140 |
0.020 |
7.014 |
<0.001 |
|
|
||||
|
# Reference group. * Std Errors for the non-significant items were not available by using SPSS software. † Obtained by multiple linear regression model. |
||||
|
Xiang et al. BMC Infectious Diseases 2010 10:34 doi:10.1186/1471-2334-10-34 |
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