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Older Adult Internet Use and eHealth Literacy.


ABSTRACT: We examine Internet use and eHealth literacy among older adults (aged 55+ years) who were patients at clinics serving low-income populations. Participants included 200 minority and White adults who completed interviews based on a technology acceptance conceptual model. A total of 106 participants (53.0%) used the Internet; utilization was associated with personal characteristics (age, ethnicity, education, poverty), computer characteristics (number of e-devices, computer stress), social support (marital status), and health knowledge and attitudes (health literacy, medical decision making, health information sources), but not health status. Of the 106 participants who used the Internet, 52 (49.1%) had high eHealth literacy; eHealth literacy was associated with computer characteristics (number of e-devices, computer stress), and health knowledge and attitudes (medical decision making, health information sources). In multivariate analysis, computer stress maintained a significant inverse association with eHealth literacy. Educational interventions to help older adults successfully use technology and improve eHealth literacy must be identified.

SUBMITTER: Arcury TA 

PROVIDER: S-EPMC6698430 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Older Adult Internet Use and eHealth Literacy.

Arcury Thomas A TA   Sandberg Joanne C JC   Melius Kathryn P KP   Quandt Sara A SA   Leng Xiaoyan X   Latulipe Celine C   Miller David P DP   Smith D Alden DA   Bertoni Alain G AG  

Journal of applied gerontology : the official journal of the Southern Gerontological Society 20181024 2


We examine Internet use and eHealth literacy among older adults (aged 55+ years) who were patients at clinics serving low-income populations. Participants included 200 minority and White adults who completed interviews based on a technology acceptance conceptual model. A total of 106 participants (53.0%) used the Internet; utilization was associated with personal characteristics (age, ethnicity, education, poverty), computer characteristics (number of e-devices, computer stress), social support  ...[more]

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