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. 2019 Jul 10;16(14):2455. doi: 10.3390/ijerph16142455

Table 1.

A summary of prior studies on e-health literacy.

Sources Context/Objective Independent Variables Dependent Variables Findings
[26] Internet, 2371 parents e-health literacy parent’s gender; parent’s race/ethnicity; parental language spoken at home; parent’s educational attainment; parent’s marital status; household type; child’s health; age Exception of parent’s gender, parent’s marital status, and household type, all other factors have positive effects
[27] Internet, 182 middle schoolers e-health literacy outcome expectations; training involvement; health motivation; perceived injunctive norm; perceived descriptive norm; subjective norm; personal norm Exception of health motivation, all other factors have positive effects
[28] 59 college students levels of e-health literacy race, age, class standing, college major, final course grades, use of the Internet, time spent on the Internet Only the effect of use of the Internet is significant and positive
[29] 525 valid college students e-health literacy (as a mediator) health status; degree of health concern All effects are significant and positive
[30] 83 lung cancer survivors e-health literacy age; gender; living situation; overall health; overall quality of life; histology; education; access to e-resources Only the effects of education and access to e-resources are significant and positive
[31] 1917 parents and 1417 students e-health literacy parent: age; education; marital status; household poverty; area; parent Internet skill confidence; parent Internet skills
adolescent: sex; grade; academic performance; adolescent health information literacy
Parent: Exception of age, marital status, and area, all other factors have positive effects
Adolescent: Exception of sex, all other factors have positive effects
[32] 192 participants e-health literacy gender; department; education level; health status; monthly income; website preference categories All effects are positive and significant
[33] 65 traditional college students and 143 older adult students overall e-health literacy; functional e-health literacy age Age difference does exist between different groups
[2] 1162 patients who use the Internet e-health literacy age; self-rated health; Internet use frequency; online health information seeking frequency; types of health information sought Age difference exists. All other effects are positive and significant