Table 4. Multiple regression model of factor two against the media variables.

Variables	Coefficient (95% CI)	Standard Error	T statistic	P value
Intercept	−0.62 (−0.87 to −0.37)	0.13	−4.91	<0.001
Experimental variables:
National newspapers
Do not use	Ref
Use	−0.14 (−0.26 to −0.01)	0.06	−2.17	0.03
Regional newspapers
Do not use	Ref
Use	0.18 (0.04 to 0.32)	0.07	2.46	0.01
Confounders:
Age
Under 35	0.13 (−0.06 to 0.31)	0.10	1.33	0.2
Between 35 to 49	0.11 (−0.03 to 0.26)	0.07	1.53	0.1
Over 49	Ref
Sex
Male	0.00 (−0.14 to 0.15)	0.08	0.06	1.0
Female	Ref
Education
Middle/High school	0.31 (0.13 to 0.49)	0.09	3.43	<0.001
College	0.17 (−0.02 to 0.39)	0.10	1.82	0.07
University and above	Ref
Occupation
Outdoor	0.59 (0.35 to 0.83)	0.12	4.76	<0.001
Medical/Education/Tech	0.28 (0.02 to 0.39)	0.09	2.18	0.03
Housewife	Ref
Unemployed	0.08 (−0.12 to 0.28)	0.10	0.79	0.4
Other	0.19 (0.02 to 0.35)	0.08	2.19	0.03
Living status
Living with children	0.14 (0.01 to 0.27)	0.06	2.17	0.03
Not living with children	Ref
Area
Mountain	0.02 (−0.13 to 0.17)	0.08	0.26	0.8
Seaside	0.07 (−0.07 to 0.21)	0.07	0.95	0.3
Downtown	Ref