Social Media Use May Not Be As Bad As Some Suggest: Implication for Older Adults

Abstract

Abstract Background and Objectives Social media use (SMU) has increased over the past decade among older adults. Cross-sectional studies report SMU is related to negative mental health outcomes (i.e., depression). Given depression is the most common mental health issue for older adults and increases the risk of morbidity and mortality, determining longitudinally whether SMU is related to increased depression is critical. This study examined the longitudinal relationship between SMU and depression. Research Design and Methods Data from 6 waves (2015–20) of the National Health and Aging Trends Study (NHATS) were analyzed. Participants included a nationally representative sample of U.S. older adults, aged 65 years and older (N = 7,057). We used a Random Intercept Cross-Lagged Panel Modeling (RI-CLPM) framework to examine the relationship between primary outcomes of SMU and depression symptoms. Results No pattern was found of SMU predicting depression symptoms, or depression symptoms predicting SMU. The major driver of SMU in each wave was SMU in the previous wave. On average, our model accounted for 3.03% of the variance in SMU. The major predictor of depression in each wave was the pre-existing depression. Our model accounted for an average of 22.81% of the variance in depressive symptoms. Discussion and Implications The results suggest that SMU and depressive symptoms are driven by the previous patterns of SMU and depression, respectively. We did not find any patterns of SMU and depression influencing each other. NHATS measures SMU with a binary instrument. Future longitudinal research should employ measures that account for SMU duration, type, and purpose. These findings suggest that SMU may not be related to negative health outcomes, in this case, depression, for older adults.