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首页> 外文期刊>Frontiers in Public Health >The Patterns and Predictors of Loneliness for the Chinese Medical Students Since Post-Lockdown to New Normal With COVID-19
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The Patterns and Predictors of Loneliness for the Chinese Medical Students Since Post-Lockdown to New Normal With COVID-19

机译:中国医学生孤独的模式和预测因素自锁定到新的Covid-19新正常

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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.
机译:背景:2019年冠状病毒疾病(Covid-19) - 相关的检疫对医学生,特别是孤独感了面的心理挑战。在这项研究中,我们证明了医学生物孤独的模式和预测因子,因为锁定与Covid-19新的正常新正常。方法:本研究使用了一种便利取样方法。面对面的UCLA寂寞规模和心理特征尺度的面对面的在线问卷由1,478名参与者完成。进行潜在剖面分析和多语入物流回归。结果:本研究确定了三种潜在的型材模型:低孤独性(52.3%),人际敏感性孤独(3.5%)和高孤独(44.1%)。大二(EST = 1.937; P& 0.05)和初级学生(EST = 2.939; P <0.05),神经质症(EST = 2.475; P <0.05),高唤醒症状(EST = 2.618; P <0.01)和朋友的支持质量(EST = 2.264; P& 0.05)是高孤独性剖面的危险因素。此外,二年级学生(EST = 2.065; P& 0.05)和初级学生(EST = 2.702; P <0.01),开放性(EST = 2.303; P& 0.05),和休闲性人格(EST =?2.348; P. & 0.05)是人际敏感孤独剖面的预测因子。良好的同伴关系(EST =?2.266; P& 0.05)和其他支持(EST =?2.247; P& 0.05)是低孤独性剖面的保护因素。限制:参与者选自一所医科大学;概括性有限。结论:及时孤独的偏心干预措施应针对医学生孤独的不同概况和预测因子。

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