An egocentric network analysis of U.S. college students’ recollection of mental health symptoms and social connections during the COVID-19 pandemic

Abstract

Objective: This study analyzes pandemic-era diminished mental health and social connections among college students. Participants: Students of a large public university completed an online survey measuring self-reported mental health symptoms for themselves and that of their closest social connections. Methods: Three regression models were used to understand if pandemic-era diminished mental health was associated with mental health characteristics present among their social networks: (1) depressive symptoms, (2) loneliness, and (3) hopelessness. Results: Students experiencing depressive symptoms (R² = 0.13, F = 3.685, p < 0.001) perceived depressive symptoms (β = 0.32, p = 0.01) among their social connections. Students experiencing loneliness (R² = 0.13, F = 3.867, p < 0.001) perceived loneliness (β = 0.39, p = 0.02) among their social connections. Students experiencing hopelessness (R² = 0.14, F = 4.223, p < 0.001) perceived depressive symptoms (β = 0.35, p = 0.01) among their social connections. Conclusion: Social connections may influence mental health symptoms and could be a social determinant of certain mental health outcomes.

Keywords:

• COVID-19
• mental health
• social network

Conflict of interest disclosure

The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of the United States and received approval from the Institutional Review Board of Texas A&M University.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.