Wang Ying, Dai Xinyi, Zhu Jie, Xu Zeling, Lou Jiayao, Chen Keda
Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Front Psychol. 2023 Aug 25;14:1185896. doi: 10.3389/fpsyg.2023.1185896. eCollection 2023.
Sleep quality has a significant impact on the health-related quality of life, particularly among college students. This study proposes a framework for identifying factors that influence college students' sleep quality, including stress, self-control, bedtime habits, and neighborhood environment.
The study employed a cross-sectional analytical approach on a convenience sample of 255 medical students from a private university in China during the 2021/2022 academic year, of which 80.39% (205) were women. Two complementary methodologies, partial least squares-structural equation modeling (PLS-SEM), and fuzzy sets qualitative comparative analysis (fsQCA), were utilized in the study.
The results of the PLS-SEM analysis suggest that Stress and Self-control act as mediating variables in the model, with Bedtime habits and Neighborhood environment influencing sleep quality through these variables. Additionally, the fsQCA analysis reveals that Bedtime habits and Neighborhood environment can combine with Stress and Self-control, respectively, to influence sleep quality.
These findings provide insight into how multiple factors, such as Stress, Self-control, Bedtime habits, and Neighborhood environment, can impact college students' sleep quality, and can be used to develop intervention programs aimed at improving it. Moreover, the use of both methodologies enables the expansion of new methodological approaches that can be applied to different contexts.
睡眠质量对与健康相关的生活质量有重大影响,在大学生中尤为如此。本研究提出了一个框架,用于识别影响大学生睡眠质量的因素,包括压力、自我控制、就寝习惯和邻里环境。
本研究采用横断面分析方法,对中国一所私立大学255名医学生在2021/2022学年的便利样本进行了研究,其中80.39%(205名)为女性。研究中使用了两种互补的方法,偏最小二乘结构方程模型(PLS-SEM)和模糊集定性比较分析(fsQCA)。
PLS-SEM分析结果表明,压力和自我控制在模型中充当中介变量,就寝习惯和邻里环境通过这些变量影响睡眠质量。此外,fsQCA分析表明,就寝习惯和邻里环境可以分别与压力和自我控制相结合,从而影响睡眠质量。
这些发现深入了解了压力、自我控制、就寝习惯和邻里环境等多种因素如何影响大学生的睡眠质量,并可用于制定旨在改善睡眠质量的干预计划。此外,两种方法的使用能够拓展可应用于不同情境的新方法。