Can Resilience Buffer the Effects of Loneliness on Mental Distress Among Working-Age Adults in the United States During the COVID-19 Pandemic? A Latent Moderated Structural Modeling Analysis

Abstract

Background: The profound health consequences of loneliness are well-established. However, less is known about the protective factors which may alleviate the effects of loneliness on mental health especially among working-age adults amidst the COVID-19 pandemic. We draw on the social ecology of resilience and examine whether resilience factors can buffer the effects of loneliness on mental distress. Methods: Data came from the National Well-being Survey—a national study of a demographically representative sample of U.S. working-age adults (N = 4014). We used (a) structural equation models with latent variables to examine the main effects of loneliness, psychological resilience, and perceived social support on mental distress, and (b) latent moderated structural equations to estimate the latent interaction effects. Results: Results revealed that (a) loneliness was positively associated with mental distress and psychological resilience was negatively related to mental distress, and (b) psychological resilience and perceived social support moderated the strength of the relationship between loneliness and mental distress. Conclusions: Our study highlights the importance of psychological resilience and perceived social support as two protective factors in the relationship between loneliness and mental distress. Given that loneliness significantly predicts worse mental and physical health and higher mortality, identifying protective factors that might disrupt these connections is vital. As such, public health efforts to strengthen and expand familial and community social support networks and foster psychological resilience are urgently needed to support mental health among working-age adults during additional waves of the pandemic or future similar stressors.