Table 4.
Hierarchical multiple regression examining the predicting roles of different types of social media use on preventive behaviors.
| Characteristic | Model 1 | Model 2 | ||||
|
|
|
|
βa | P value | β | P value |
| Demographic | ||||||
|
|
Female gender | –.11 | .001 | –.11 | .001 | |
|
|
Age | .20 | .000 | .19 | .000 | |
|
|
Education | |||||
|
|
|
Middle school | Reference | N/Ab | Reference | N/A |
|
|
|
High school | .13 | .130 | .08 | .358 |
|
|
|
Associate degree | .13 | .266 | .06 | .588 |
|
|
|
Bachelor’s degree | .18 | .248 | .09 | .560 |
|
|
|
Master’s degree and above | .09 | .384 | .04 | .683 |
|
|
Income (¥)c | |||||
|
|
|
<1500 | Reference | N/A | Reference | N/A |
|
|
|
1500-3000 | .05 | .348 | .01 | .909 |
|
|
|
3001-5000 | .12 | .076 | .05 | .473 |
|
|
|
5001-8000 | .19 | .011 | .08 | .284 |
|
|
|
8001-12,000 | .23 | .001 | .10 | .145 |
|
|
|
12,001-20,000 | .17 | .002 | .09 | .096 |
|
|
|
>20,000 | .08 | .056 | .03 | .471 |
|
|
Marital status | |||||
|
|
|
Married | Reference | N/A | Reference | N/A |
|
|
|
Single | .03 | .542 | .05 | .260 |
|
|
|
Divorced | .01 | .778 | .02 | .606 |
|
|
|
Separated | –.06 | .086 | –.04 | .184 |
|
|
|
Cohabiting | –.07 | .052 | –.06 | .067 |
|
|
Health status | |||||
|
|
|
Good | Reference | N/A | Reference | N/A |
|
|
|
Severe disease | –.01 | .880 | .01 | .675 |
|
|
|
Chronic disease | –.07 | .056 | –.06 | .072 |
|
|
|
Suboptimal | –.12 | .001 | –.12 | .000 |
|
|
|
Fair | –.17 | .000 | –.15 | .000 |
| Social media type | ||||||
|
|
Official social media | N/A | N/A | .02 | .597 | |
|
|
Professional social media | N/A | N/A | .11 | .002 | |
|
|
Public social media | N/A | N/A | .14 | .000 | |
|
|
Aggregated social media | N/A | N/A | .22 | .000 | |
aβ: standardized regression coefficient.
bN/A: not applicable.
c1 ¥=US $0.14 on February 13, 2020.