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. 2017 Jan 27;4(1):e4. doi: 10.2196/humanfactors.6217

Table 2.

Univariable comparison of demographic, socioeconomic, and technology use factors in eHealth literacy (analysis adjusted for the clustering effect of primary health care practices).

Variable Low eHealth literacy
(eHEALSa<26)
(n=154), n (%)
High eHealth literacy
(eHEALS≥26)
(n=299), n (%)
Overall
(N=453)
n (%)
P value
Male 124 (80.5) 220 (73. 6) 344 (75.9) .10
Age in years, mean (SD) 68 (8) 66 (8) 67 (8) .01

Age <65 years, n (%) 49 (32) 121 (40.5) 170 (37.5) .02

Age 65-70 years, n (%)
50 (32)
108 (36.1) 158 (34.9)


Age >70 years, n (%) 55 (36) 70 (23) 125 (27.6)
History of coronary heart disease, n (%) 49 (32) 92 (31) 141 (31.1) .82
Taking >3 CVDb medications 30 (19) 73 (24) 103 (22.7) .24
Education level, n (%)




None, primary, or secondary 54 (35) 67 (22) 121 (26.7) .007

Technical or vocational training 32 (21) 58 (19) 90 (20)

Undergraduate or postgraduate 68 (44) 174 (58.2) 242 (53.4)
Income (in Aus $ per week), n (%)




<1000 30 (19) 56 (19) 86 (20) .55

1000-2000 54 (35) 126 (42.1) 180 (39.7)

>2000 45 (29) 82 (27) 127 (28.0)
Private insurance, n (%) 118 (76.6) 249 (83.3) 367 (81.0) .09
Main device used to access the Internet, n (%)




Desktop computer 62 (40) 132 (44.1) 194 (42.8) .53

Laptop 59 (38) 100 (33.4) 159 (35.1)

Mobile phone or tablet 31 (20) 67 (22) 98 (22)
Spends >1 hour on Internet per day 56 (36) 179 (60.0) 235 (55.8) <.001
eHEALS score, mean (SD) 19.89 (4.909) 30.96 27.2 <.001

aeHEALS: eHealth Literacy Scale.

bCVD: cardiovascular disease.