There is support for the role of Internet use in promoting well-being among older people. However, there are also contradictory findings which may be attributed to methodological issues. First, research has focused on frequency of online activity rather than how engagement in different types of online activities may influence well-being. Secondly, previous studies have used either cross-sectional designs, which cannot elucidate causality or intervention designs with uncontrolled extraneous variables. In this longitudinal observational study, we test the indirect impact of online engagement for social, informational, and instrumental purposes on older adults’ well-being via reducing loneliness and supporting social engagement. A population sample of 1,165 adults aged 60–77 (M = 68.22, SD = 4.42; 52.4% female) was surveyed over 3 waves. Using longitudinal mediation analysis with demographic controls, the indirect effects of types of Internet use on well-being through loneliness and social engagement were estimated. Participants engaged online for 3 purposes: social (e.g., connecting with friends/family), instrumental (e.g., banking), and informational (e.g., reading health-related information). Social use indirectly impacted well-being via decreased loneliness and increased social engagement. Informational and instrumental uses indirectly impacted well-being through engagement in a wider range of activities; however, were unrelated to loneliness. Findings highlight that Internet use can support older adults’ well-being; however, not every form of engagement impacts well-being the same way. These findings will inform the focus of interventions which aim to promote well-being.

Objectives: This study examined trajectories of emotional functioning in three domains (depressive symptoms, emotional, and social loneliness) for individuals who experienced spousal bereavement and investigated cross-domain adaptation. We hypothesized that emotional difficulties after bereavement would be more detectable in emotional loneliness than depressive symptoms or social loneliness. Methods: Using latent class growth analysis, we modeled changes in depressive symptoms, emotional loneliness, and social loneliness from 12 years pre- to 12 years post-bereavement on data from 686 older adults to identify trajectories indicating adaptive and maladaptive functioning in each domain. Results: Most participants reported depressive symptoms below the clinically relevant threshold by showing a resilient (15.5%) or a slightly elevated (53.5%) trajectory post-bereavement. One third (31%) reported clinically relevant depressive symptoms. More than half of the sample reported emotional loneliness post-bereavement, varying form prolonged (17%), increasing and prolonged (28.3%), and chronically high (8.9%) levels. Remaining participants displayed resilience (13.5%) or recovery (32.3%). Social loneliness showed four trajectories: very low and resilient (43.3%), low and resilient (27.5%), increasing (20.2%), and chronically high (9%) levels. One third of participants maintained adaptive, whereas 12% displayed maladaptive, functioning across all domains post-bereavement. Discussion: An increase in emotional loneliness was the most commonly observed change after spousal bereavement. This highlights the central role of emotional loneliness in depression after bereavement.