Quality of Sleep Profiles and Mental Health Issues among University Students.

IF 1.8 Q4 CLINICAL NEUROLOGY
Sleep Science Pub Date : 2024-10-23 eCollection Date: 2025-06-01 DOI:10.1055/s-0044-1791239
Zayra Antúnez, Rodrigo C Vergara, Sebastián Rosa, Javiera Zapata, Wilson Espinoza, Natacha Ortiz, Loreto Parra, Jorge Santander, Tomas Baader
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Abstract

Objective  To detect and characterize sleep quality profiles and to analyze their relationship with depression, anxiety, and stress in a sample of 1,861 Chilean students. Materials and Methods  After providing informed consent, the students filled out online questionnaires and received immediate feedback. Hierarchical cluster analyses were conducted to detect sleep quality profiles, which were characterized using the Kruskal-Wallis's test. The Pearson correlation coefficient was used to correlate sleep quality profiles with mental health variables. The dendrogram revealed four distinct groups of interest, each with different patterns in the subscales of the Pittsburgh Sleep Quality Index (PSQI). Results  The results enabled us to establish four sleep quality profiles based on hierarchical cluster analysis, which were, in different ways, associated with the prevalence of symptoms of mental health issues. A profile of good sleeper was found, which presents good overall sleep quality and mild symptoms of mental health issues. The effective sleeper profile presents poor subjective sleep quality and good sleep efficiency, with mild symptoms of mental health issues. The poor sleeper profile presents poor overall sleep quality, sleeping between 5 and 6 hours and presenting moderate symptoms of depression, anxiety, and stress. The sleeper with hypnotic use profile obtains the most deficient results in sleep quality and presents symptoms of severe mental health issues. Conclusions  The present study revealed a strong association and correlation between sleep quality profiles and mental health issues. Four distinct sleep quality profiles were identified, showing notable differences. This understanding enables the application of targeted preventive strategies according to each profile.

大学生睡眠质量与心理健康问题
目的对1861名智利学生的睡眠质量特征进行检测和表征,并分析其与抑郁、焦虑和压力的关系。材料与方法学生在提供知情同意后,填写在线问卷并获得即时反馈。采用分层聚类分析来检测睡眠质量概况,并使用Kruskal-Wallis测试对其进行表征。Pearson相关系数用于将睡眠质量概况与心理健康变量关联起来。树形图显示了四个不同的兴趣组,每个组在匹兹堡睡眠质量指数(PSQI)的子量表中都有不同的模式。结果基于层次聚类分析,我们建立了四种睡眠质量特征,这些特征以不同的方式与心理健康问题症状的患病率相关。研究发现,良好睡眠者总体睡眠质量良好,心理健康问题症状轻微。有效睡眠者表现为主观睡眠质量差,睡眠效率高,伴有轻微的心理健康问题。睡眠质量差的人总体睡眠质量差,睡眠时间在5到6小时之间,并表现出中度抑郁、焦虑和压力症状。使用催眠药物的睡眠者睡眠质量最差,并表现出严重的心理健康问题。结论:本研究揭示了睡眠质量与心理健康问题之间的强烈关联和相关性。四种不同的睡眠质量特征被识别出来,显示出显著的差异。这种了解使我们能够根据每一种情况应用有针对性的预防战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sleep Science
Sleep Science CLINICAL NEUROLOGY-
CiteScore
2.50
自引率
12.50%
发文量
124
审稿时长
10 weeks
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