BackgroundInternet technology can provide a diverse array of online resources for low-income disabled and homebound older adults to manage their health and mental health problems and maintain social connections. Despite many previous studies of older adults’ Internet use, none focused on these most vulnerable older adults.ObjectiveThis study examined Internet use patterns, reasons for discontinued use, eHealth literacy, and attitudes toward computer/Internet use among low-income homebound individuals aged 60 and older in comparison to their younger counterparts—homebound adults under age 60.MethodsFace-to-face or telephone surveys were conducted with 980 recipients of home-delivered meals in central Texas (78% were age 60 years and older and 22% under age 60). The eHealth Literacy Scale (eHEALS) and the efficacy and interest subscales of the Attitudes Toward Computer/Internet Questionnaire (ATC/IQ) were used to measure the respective constructs. Age groups were compared with chi-square tests and t tests. Correlates of Internet use were analyzed with multinomial logistic regression, and correlates of eHEALS and ATC/IQ scores were analyzed with OLS regression models.ResultsOnly 34% of the under-60 group and 17% of the 60 years and older group currently used the Internet, and 35% and 16% of the respective group members reported discontinuing Internet use due to cost and disability. In addition to being older, never users were more likely to be black (OR 4.41; 95% CI 2.82-6.91, P<.001) or Hispanic (OR 4.69; 95% CI 2.61-8.44, P<.001), and to have lower incomes (OR 0.36; 95% CI 0.27-0.49, P<.001). Discontinued users were also more likely to be black or Hispanic and to have lower incomes. Among both age groups, approximately three-fourths of the current users used the Internet every day or every few days, and their eHEALS scores were negatively associated with age and positively associated with frequency of use. Among the 60 and older group, a depression diagnosis was also negatively associated with eHEALS scores. ATC/IQ efficacy among never users of all ages and among older adults was positively associated with living alone, income, and the number of medical conditions and inversely associated with age, Hispanic ethnicity, and Spanish as the primary language. Although ATC/IQ interest among older adults was also inversely associated with age, it was not associated with Hispanic ethnicity and Spanish as the primary language.ConclusionsThis study is the first to describe in detail low-income disabled and homebound adults’ and older adults’ Internet use. It shows very low rates of Internet use compared to the US population, either due to lack of exposure to computer/Internet technology; lack of financial resources to obtain computers and technology; or medical conditions, disabilities, and associated pain that restrict use. Recommendations to reduce the digital divide among these individuals are provided.

BackgroundPrevious studies have identified socioeconomic status and health status as predictors of older adults’ computer and Internet use, but researchers have not examined the relationships between older adults’ health needs and psychological capital (emotional well-being and self-efficacy) and social capital (social integration/ties and support networks) to different types of Internet use.ObjectiveThis study examined (1) whether older adults’ health conditions and psychological and social capital differentiate Internet users from nonusers, and (2) whether the Internet users differed in their types of Internet use on the basis of their health conditions and psychological and social capital.MethodsData for this study came from the National Health and Aging Trends Study, which is based on a nationally representative sample of US Medicare beneficiaries aged 65 years and older. The sample for this study were those who resided in the community in their own or others’ homes (N=6680). Binary logistic regression analysis was used to compare health needs, psychological capital, and social capital among (1) any type of Internet users and nonusers, (2) Internet users who engaged in health-related tasks and Internet users who did not, (3) Internet users who engaged in shopping/banking tasks and Internet users who did not, and (4) Internet users only used the Internet for email/texting and all other Internet users.ResultsDepressive and anxiety symptoms, measures of psychological capital, were negatively associated with Internet use among older adults (odds ratio [OR] 0.83, 95% CI 0.70-0.98, P=.03 and OR 0.79, 95% CI 0.65-0.97, P=.03, respectively), whereas most measures of social capital were positively associated with Internet use. Having more chronic medical conditions and engaging in formal volunteering increased the odds of Internet use for health-related tasks by 1.15 (95% CI 1.08-1.23, P<.001) and 1.28 (95% CI 1.05-1.57, P=.02), respectively, but anxiety symptoms decreased the odds (OR 0.74, 95% CI 0.55-0.99, P=.05). Religious service attendance was negatively associated with Internet use for shopping/banking activities (OR 0.75, 95% CI 0.62-0.91, P=.01). Anxiety symptoms increased the odds of using the Internet only for emails/texting (OR 1.75, 95% CI 1.12-2.75, P=.02), but formal volunteering decreased the odds (OR 0.63, 95% CI 0.43-0.92, P=.02). Other correlates of Internet use solely for emails/texting were older age (80-84 years and ≥85 years), a black or “other” racial/ethnic background, a high school education or less than high school, and lower income.ConclusionsThe findings point to the importance of social capital in facilitating older adults’ learning and adoption of Internet technology. Older adults who used the Internet for email/texting purposes only were the most socially and economically disadvantaged group of Internet users. Computer/Internet training for older adults and computer/Internet use for various purposes need to consider the significant role their social capital can play.

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This study underscores the significant yet modest association between ACEs and lifetime MSUDs in late life. More research is needed to investigate why ACEs seem to have greater effects on older men and to discern the sources of gender differences in ACEs' effects.

The COVID-19 pandemic ushered in rapid telehealth/telemedicine adoption. In this study, we (1) examined rates and correlates of telehealth (video call) use among those aged 70+, and (2) tested the significance of access to information and communication technology (ICT) device ownership and knowledge of how to use the internet and devices as telehealth-enabling factors. The Behavioral Model of Health Services Use served as the conceptual framework, and data came from the COVID-19 supplemental survey of the National Health and Aging Trend Study. Results show that telehealth use increased to 21.1% from 4.6% pre-pandemic. In logistic regression models without technology-enabling factors, older age and lower income were negatively associated with telehealth use; however, when technology-enabling factors were included, they were significant while age and income were no longer significant. Insuring that older adults have ICT devices and internet access may reduce health disparities and improve telehealth care delivery.