Predictors of use of digital technology for communication among older adults: analysis of data from the health and retirement study

Purpose This study aims to examine the potential impact of eleven social and psychological factors – anxiety, closeness with family and friends, intellectual curiosity, life control, life satisfaction, physical health, religiosity, self-esteem, sociability, socioeconomic status and works status and demands – on the use of digital technology by older adults for the purpose of communicating with family and friends. Design/methodology/approach A path analysis, which uses ordinary least squares regression to examine relationships among variables, is used to perform a secondary analysis of data from the 2018 Health and Retirement Study. A correlation matrix, which displays the direct relationships among variables, is also incorporated. Findings Statistically significant direct influences are revealed between the use of digital technology for communication and three factors: intellectual curiosity, self-esteem, and sociability. These three factors are themselves moderated by the influences of the remaining eight factors. While most factors relate to an increase in the adoption of social uses of digital technology, increased anxiety and increased work demands (for those who are employed) are related to decreased adoption, while increased religiosity has a mixed effect (reduced intellectual curiosity but increased sociability). These findings suggest a few avenues for identifying and intervening in the lives of physically and socially isolated older adults, by illuminating correlates of technology adoption. Originality/value While many studies have examined factors that correlate to increased technology adoption, this study is original in that it focuses specifically on the use of digital technology for communication with family and friends (i.e. use of email, messaging, social media) while also focusing on social and psychological factors (many of which can be changed through intervention) rather than innate and uncontrollable factors like age, gender and ethnicity.