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. 2015 Nov 26;17(11):e261. doi: 10.2196/jmir.4368

Table 3.

Linear regression: association between online health information–seeking behaviors and fruit consumption.

Variables Model 1a Model 2b Model 3b

β (SE) 95% CI P β (SE) 95% CI P β (SE) 95% CI P
Demographic and situational factors









Immigrant statusc –0.24 (0.12) –0.47, –0.01 .04 –0.31 (0.12) –0.54, –0.08 .01 –0.33 (0.12) –0.56, –0.09 .01

Age –0.14 (0.06) –0.26, –0.03 .01 –0.11 (0.06) –0.22, 0.01 .07 –0.12 (0.06) –0.24, –0.01 .04

General health status –0.27 (0.09) –0.44, –0.10 .002 –0.27 (0.09) –0.44, –0.10 .002 –0.24 (0.09) –0.41, –0.08 .01

Hypertensiond –0.01 (0.08) –0.17, 0.15 .92 0.02 (0.08) –0.14, 0.18 .81 0.03 (0.08) –0.13, 0.19 .70

Education level 0.13 (0.08) –0.03, 0.28 .10 0.08 (0.08) –0.08, 0.23 .32 0.05 (0.08) –0.10, 0.21 .50
Literacy factors









Health literacy


–0.03 (0.07) –0.15, 0.14 .97 –0.02 (0.07) –0.17, 0.12 .76

SNS membershipd


0.28 (0.09) 0.10, 0.47 .01 0.23 (0.10) 0.05, 0.42 .02
Online health information–seeking behaviorsd





0.35 (0.14) 0.08, 0.62 .01

a Adjusted R 2 =.01, P=.001.

b Adjusted R 2 =.01, P<.001.

c Birthplace was coded as 0=foreign born or 1=US born.

d Coded as 0=no or 1=yes.