Digital self-report instruments for repeated measurement of mental health in the general adult population: a protocol for a systematic review

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

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.