Innovative Analysis of the Interconnected Network Structure Between Anxiety and Sleep Quality Among College Students.

IF 2.8 3区 心理学 Q2 PSYCHOLOGY, CLINICAL
Psychology Research and Behavior Management Pub Date : 2025-03-13 eCollection Date: 2025-01-01 DOI:10.2147/PRBM.S507074
Yang He, Tianqi Yang, Qingjun Guo, Shengjun Wu, Wei Liu, Tao Xu
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Abstract

Background: A complex interplay exists between anxiety and sleep quality. However, there is a scarcity of network analysis studies examining this relationship, particularly among college students. Previous research has relied on sum scores from scales, which fails to capture the nuanced, symptom-level associations between anxiety and sleep quality. This limitation impedes a comprehensive understanding of their interactions. Thus, the objective of this study was to address this research gap by employing network analysis to explore symptom-level associations between anxiety and sleep quality within a college student population.

Methods: Network analysis was conducted to explore the association between anxiety and sleep quality among college students and identify bridge items of anxiety and sleep quality. Anxiety was assessed via the Self-Rating Anxiety Scale (SAS), and sleep quality was assessed via the Pittsburgh Sleep Quality Index (PSQI).

Results: The network structure revealed 47 significant associations between anxiety and sleep quality. "Subjective sleep quality", "daytime dysfunction", "panic", "dizziness", "fatigue" and "sleep disorder" had higher EI values in the network. "fatigue" and "daytime dysfunction" had the highest BEI values in their respective communities.

Conclusion: From a network analysis perspective, this study identified complex pathways of pathological correlations between anxiety and sleep quality among college students. It also identified "subjective sleep quality", "daytime dysfunction", "panic", and "dizziness", "fatigue" and 'sleep disturbance' may be potential targets for intervention in anxiety-sleep disorder comorbidity. In the future, psychologists and medical professionals may adopt appropriate interventions based on the centrality index and bridging centrality indicators identified in this study to effectively reduce the comorbidity of anxiety and sleep disorders in college students.

大学生焦虑与睡眠质量关联网络结构的创新分析
背景:焦虑与睡眠质量之间存在复杂的相互作用。然而,研究这种关系的网络分析研究很少,尤其是在大学生中。以前的研究依赖于量表的总和得分,这无法捕捉到焦虑和睡眠质量之间细微的、症状层面的联系。这种限制阻碍了对它们相互作用的全面理解。因此,本研究的目的是通过使用网络分析来探讨大学生群体中焦虑与睡眠质量之间的症状水平关联,以解决这一研究空白。方法:采用网络分析方法探讨大学生焦虑与睡眠质量的关系,确定焦虑与睡眠质量的桥梁项目。通过焦虑自评量表(SAS)评估焦虑,通过匹兹堡睡眠质量指数(PSQI)评估睡眠质量。结果:网络结构揭示了焦虑与睡眠质量之间的47个显著关联。“主观睡眠质量”、“白天功能障碍”、“恐慌”、“头晕”、“疲劳”和“睡眠障碍”在网络中的EI值较高。“疲劳”和“日间功能障碍”的BEI值在各自的社区中最高。结论:从网络分析的角度,本研究发现大学生焦虑与睡眠质量之间存在复杂的病理相关通路。研究还发现,“主观睡眠质量”、“白天功能障碍”、“恐慌”、“头晕”、“疲劳”和“睡眠障碍”可能是干预焦虑-睡眠障碍共病的潜在目标。在未来,心理学家和医学专业人员可以根据本研究确定的中心性指数和桥接中心性指标采取适当的干预措施,有效减少大学生焦虑与睡眠障碍的共病。
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来源期刊
CiteScore
4.50
自引率
4.70%
发文量
341
审稿时长
16 weeks
期刊介绍: Psychology Research and Behavior Management is an international, peer-reviewed, open access journal focusing on the science of psychology and its application in behavior management to develop improved outcomes in the clinical, educational, sports and business arenas. Specific topics covered in the journal include: -Neuroscience, memory and decision making -Behavior modification and management -Clinical applications -Business and sports performance management -Social and developmental studies -Animal studies The journal welcomes submitted papers covering original research, clinical studies, surveys, reviews and evaluations, guidelines, expert opinion and commentary, case reports and extended reports.
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