Skip to main content
. 2022 Mar 15;24(3):e32678. doi: 10.2196/32678

Table 3.

Descriptive statistics and correlations between study variables (Black, Latine, education, and income).

Predictors Black Latine Education Income

r P value r P value r P value r P value
Age (years) a
Sexb
Whitec
Blackd 1
Latinee –0.10 <.001 1
Education –0.12 <.001 –0.17 <.001 1
Income –0.20 <.001 –0.12 <.001 0.47 <.001 1
Home computer –0.15 <.001 –0.16 <.001 0.41 <.001 0.38 <.001
Work computer –0.09 <.001 –0.08 <.001 0.40 <.001 0.46 <.001
Public computer 0.07 <.001 –0.01 .76 0.11 <.001 –0.03 .03
Mobile –0.08 <.001 –0.04 .005 0.33 <.001 0.37 <.001
Health need 0.10 <.001 0.07 <.001 –0.25 <.001 –0.31 <.001
Online health information seeking (OHIS) –0.07 <.001 –0.07 <.001 0.34 <.001 0.28 <.001

aNot applicable.

bCoded as female=0 and male=1.

cCoded as non-White=0 and White=1.

dCoded as non-Black=0 and Black=1.

eCoded as non-Latine=0 and Latine=1.