Consistent and robust predictors of Internet Use among older adults over time identified by machine learning

Factors influencing technology use among low-income older adults: A systematic review

“…Within the personal determinant concerning the sociodemographic factors, age, ethnicity, educational attainment and level of income were the most significant predictors, whereas other sociodemographic factors were either less studied or yielded mixed findings. In general, our finding is congruent with a recent machine learning study [ 80 ] which argues that socioeconomic variables (i.e., measures of education and income) will continue to predict technology use in aging in the future because financial standing is difficult to address, yet socioeconomic resources are pre-requisites to basic technology use. Nevertheless, our findings of the patterns of technology use and technology ownership suggest that low-income older adults were willing to use technology if the usage could address their needs and if technology were provided to them.…”

“…This review study contributes to both research and practice. First, this study provides a consolidated understanding of the factors influencing older adults' technology adoption, distinct from prior systematic review studies [ 4 , 5 , 21 , 23 , 80 ] in terms of: (i) specific representation of low-income older adults rather than older adults from a broad and general population, and identified factors salient among the low-income segment; (ii) mapping of determinants, domains and factors using a SCT-based framework provide an overview of factors observed and opportunities for future investigations; and (iii) incorporation of Maslow's hierarchy of needs into the SCT-based framework enhanced theoretical understanding on technology adoption in specific contexts [ 44 ]. Such an integration suggests some important additions to and expansions of SCT's model of human behavior with the notion of a hierarchy of fundamental needs embedded in human's behavior (as illustrated in Fig.…”

Does Internet usage make middle-aged and older adults feel healthier? Mediating role of social engagement

“…Conversely, those with sufficient Internet-related knowledge and a positive attitude toward the Internet actively adopt it (Arcury et al ., 2020). The demographic characteristics of middle-aged and older adults, including age, gender, ethnicity, education, socioeconomic status, independent living status, and living area, are also significant determinants of their Internet usage (Silver, 2014; Berner et al ., 2015; Chang et al ., 2015; Arcury et al ., 2020; Yoon et al ., 2020; Wan et al ., 2022). Other factors that can predict the Internet usage of middle-aged and older adults include time issues, facilitating conditions, the presence of computers or other IT devices at home, jobs that require computer use, subjective norms, and social support (Gatto and Tak, 2008; Pan and Jordan-Marsh, 2010; Berner et al ., 2015; Chang et al ., 2015; Arcury et al ., 2020).…”

Exploring issues of resilience and technology use for older people - A scoping review protocol

“…In line with these policies, there has been a significant impetus to use technologies to assist in the safe provision of financial and health services remotely, as well as to enable social interactions without face-to-face contact (Vargo, et al, 2021). Numerous studies have explored the use of technologies by older people (Nguyen, et al, 2022;Song, Qian & Pickard, 2021;Suhaimi et al, 2022;Wan, Lighthall & Xie, 2022). However, their use in relation to the resilience of older people, particularly under circumstances of seclusion, has not been explored.…”