The Patterns and Predictors of Loneliness for the Chinese Medical Students Since Post-Lockdown to New Normal With COVID-19

Frontiers in Public Health

关键词: loneliness;    patterns;    predictors;    medical students;    COVID-19;    latent profile analysis;   

DOI  :  10.3389/fpubh.2021.679178

来源: DOAJ

【 摘 要 】

Background: The coronavirus disease 2019 (COVID-19)-related quarantine has had unique psychological challenges for medical students, particularly loneliness. In this study, we demonstrated the patterns and predictors of loneliness in medical students since post-lockdown to new normal with COVID-19.Methods: A convenience sampling method was used in this study. Face-to-face online questionnaires of UCLA Loneliness Scale and psychological characteristics scales were completed by 1,478 participants. Latent profile analysis and multinominal logistic regressions were performed.Results: Three latent profile models were identified in this study: low loneliness (52.3%), interpersonal sensitivity loneliness (3.5%), and high loneliness (44.1%). Sophomore (Est = 1.937; p < 0.05) and junior students (Est = 2.939; p < 0.05), neuroticism (Est = 2.475; p < 0.05), high arousal symptoms (Est = 2.618; p < 0.01), and the quality of support from friends (Est = 2.264; p < 0.05) were the risk factors for high loneliness profile. In addition, sophomore (Est = 2.065; p < 0.05) and junior students (Est = 2.702; p < 0.01), openness (Est = 2.303; p < 0.05), and conscientiousness personality (Est = −2.348; p < 0.05) were the predictors of an interpersonal sensitive loneliness profile. Good peer relationship (Est = −2.266; p < 0.05) and other support (Est = −2.247; p < 0.05) were protective factors for low loneliness profile.Limitations: Participants were selected from one medical university; the generalizability is limited.Conclusions: Timely loneliness-focused interventions should be targeted on the different profiles and predictors of loneliness in medical students.

【 授权许可】

Unknown