Table 2.

Binary logistic regression analyses predicting online information seeking from individual dispositional differences and control variables

Variable	OR	95 % CI	Wald χ2
Controls
Age	1.01	[0.98, 1.03]	0.33
Gender (ref: female)	0.92	[0.74, 1.13]	0.71
In relationship (ref: no)	0.89	[0.72, 1.11]	1.03
Genetic disease attribution	0.62	[0.24, 1.59]	0.99
Family history risk	1.05	[0.98, 1.13]	2.11
Perceived health	1.10	[0.94, 1.29]	1.50
Prior info seeking (ref: no)			10.04**
Yes	1.72	[1.23, 2.40]	9.95**
Don’t know/refused	1.65	[1.12, 2.43]	6.44*
Education (ref: HS or less)			13.54**
Some college	1.24	[0.94, 1.63]	2.30
College degree	1.64	[1.25, 2.17]	12.43***
Race (ref: White)			26.69***
African American	0.56	[0.45, 0.70]	26.19***
Other	0.64	[0.44, 0.92]	5.69*
Individual dispositional differences
Conscientiousness	1.25	[1.11, 1.41]	12.97***
Neuroticism	1.03	[0.97, 1.10]	0.87
Openness	0.87	[0.77, 0.98]	5.24*
IHLC	0.98	[0.90, 1.07]	0.14
−2 Log-likelihood	2,273.21***
Nagelkerke’s R2	0.07***
N	1,903

OR odds ratio, CI confidence interval, Ref reference category for categorical variables, In relationship married or a member of an unmarried couple, Family history risk health risk due to family history, Prior info seeking used email or the internet as a source of health information in the past 30 days, HS or less high school graduate or less than high school is the highest level of formal education achieved, IHLC internal health locus of control

*p < 0.05; **p < 0.01; ***p < 0.001