目的:本研究调查了经济危机期间医学生的心理困扰和睡眠不良的患病率及其关联的证据。
方法:这是一项使用在线问卷的横断面研究。它包括抑郁焦虑压力量表和匹兹堡睡眠质量指数(PSQI)。
方法:本研究包括斯里兰卡一所大城市大学的医学本科生。
方法:我们评估了心理困扰的患病率,睡眠质量,以及与心理困扰相关的因素。要评估关联,我们使用逻辑回归。
结果:大多数(69.2%)有某种形式的痛苦(抑郁症,焦虑或压力),而23%的人在这三个人中都有痛苦。焦虑最为普遍(50.7%)。41%的人报告睡眠质量差。对全球PSQI的贡献最大的是睡眠延迟,持续时间,和日间功能障碍分量表。在双变量分析中,睡眠质量与抑郁直接相关(t245.65=-6.75,p<0.001)。,焦虑(t313.45=-6.45,p<0.001),和应力(t94.22=-5.14,p<0.001)。在多项逻辑回归模型中,睡眠质量与抑郁独立相关,焦虑和压力。此外,与朋友的频繁接触与抑郁和焦虑呈负相关。此外,社交媒体的使用与抑郁成反比,焦虑和压力。临床学生的抑郁和焦虑低于非临床学生。从事正念活动与抑郁症呈负相关。然而,模型仅解释了适度的方差(抑郁症的NagelkerkeR平方值分别为0.21、0.18和0.13,焦虑和压力,分别)。
结论:大学生睡眠质量差和心理困扰高。研究结果强调了解决医学本科生睡眠质量和心理健康的重要性。需要进一步研究更大,更多样化的样本,以更全面地了解与大学生心理困扰相关的因素。
OBJECTIVE: This study examined the evidence of the prevalence of psychological distress and poor sleep among medical students and its associations during an economic crisis.
METHODS: This was a cross-sectional study using an online questionnaire. It included the Depression Anxiety Stress Scales and Pittsburgh Sleep Quality Index (PSQI).
METHODS: This study included medical undergraduates from a large metropolitan university in Sri Lanka.
METHODS: We assessed the prevalence of psychological distress, sleep quality, and factors associated with psychological distress. To evaluate the associations, we used logistic regression.
RESULTS: The majority (69.2%) had some form of distress (depression, anxiety or stress), while 23% had distress in all three. Anxiety was the most prevalent (50.7%). Poor sleep quality was reported in 41%. The highest contribution to global PSQI was from sleep latency, duration, and daytime dysfunction subscales. In bivariate analysis, sleep quality was directly related to depression (t245.65 = -6.75, p<0.001)., anxiety (t313.45 = -6.45, p <0.001), and stress (t94.22 = -5.14, p <0.001). In multinomial logistic regression models, sleep quality was independently associated with depression, anxiety and stress. In addition, frequent contact with friends was inversely associated with depression and anxiety. Also, social media use was inversely linked to depression, anxiety and stress. Clinical-year students had lower depression and anxiety than non-clinical students. Engaging in mindfulness activities was inversely associated with depression. However, models explained only a moderate amount of variance (Nagelkerke R-squared values were 0.21, 0.18, and 0.13 for depression, anxiety and stress, respectively).
CONCLUSIONS: Poor sleep quality and psychological distress are high among the undergraduates. The findings emphasize the importance of addressing sleep quality and psychological wellbeing in medical undergraduates. Further research with larger and more diverse samples is needed for a more comprehensive understanding of the factors associated with psychological distress among undergraduates.