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. 2015 Mar 17;17(3):e70. doi: 10.2196/jmir.3992

Table 4.

Logistic regression predicting use of Web 2.0 for health information.

Sociodemographic variable B SE B Exp (β) 95% CI
Constant
0.94 1.68 2.57
Age
−0.03 0.02 0.98 0.95-1.02
Sex
0.97 0.34 2.63b 1.35-5.13
Ethnicity
0.03 0.66 1.03 0.29-3.75
Race
−0.28 0.17 0.77 0.56-1.08
Marital status c

Widowed −0.25 0.49 0.78 0.30-2.05

Never married −0.52 0.60 0.59 0.18-1.94

Divorced or separated −0.22 0.84 0.80 0.16-4.13
Education d

High school graduate 0.33 0.59 1.39 0.44-4.39

Some college 0.72 0.48 2.05 0.81-5.21

4 years of college 0.94 0.48 2.57a 1.00-6.59

Post graduate 1.96 0.95 7.11a 1.11-45.56
Income (US$) e

$20,000 to $49,999 0.85 0.57 2.35 0.77-7.16

$50,000 to $99,999 −0.40 0.47 0.67 0.27-1.69

Over $100,000 −0.05 0.42 0.96 0.42-2.17
Health status
−0.20 0.15 0.82 0.61-1.09
Use of one electronic device for health informationf 1.30 0.44 3.68b 1.56-8.68
Use of multiple electronic devices for health informatione 1.80 0.45 6.06b 2.50-14.69

a P<.05 two-tailed.

b P<.01

cReference category: Now married

dReference category: Did not graduate high school

eReference category: Less than $10,000

fSingle electronic device use defined as self-reported use of 1 electronic device (ie, desktop, laptop, cell phone, tablet) to find Web-based health information.

eMultiple electronic device use defined as self-reported use of ≥2 electronic devices (ie, desktop, laptop, cell phone, tablet) to find Web-based health information.