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 |