Network analysis of interrelationships among physical activity, sleep disturbances, depression, and anxiety in college students.

IF 3.4 2区 医学 Q2 PSYCHIATRY
Jinwei Yang, Wei Li, Xi Jin, Fei YinHeilongjiang Province, Zhengjun Wang, Jianqin Cao
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引用次数: 0

Abstract

Background: Physical activity, sleep disturbances, anxiety, and depression are interrelated, but prior research focused on overall scores, neglecting symptom interactions and triggering effects. This study employed network analysis to explore these connections from a symptom-network perspective.

Methods: Physical Activity Scale-3, Pittsburgh Sleep Quality Index Scale, Self-Reating Depression Scale, and Self-Reating Anxiety Scale were conducted on 4683 college students from September to October 2024 by convenience sampling method. Spearman correlation is used to explore the relationship between these variables. Network analysis revealed structural connections between physical activity and sleep disturbances, identifying core and bridge symptoms. Flow network further explored the impacts of physical activity and sleep disturbances on depression and anxiety.

Results: Physical activity was negatively correlated with sleep disturbances, depression, and anxiety (p < 0.05), while sleep disturbances was positively correlated with depression and anxiety (p < 0.01). In the symptom network of physical activity and sleep disturbances, "sleep quality" (EI = 0.009) and "daytime dysfunction"(EI = 0.827) were the core symptoms, while "daytime dysfunction" (BEI = 0.035) and "intensity of physical activity" (BEI = 0.015) were the bridge symptoms. In the flow networks, "physical activity frequency" (r=-0.14) and "daytime dysfunction"(r = 0.13) were particularly correlated with depression. "Sleep disruptions"(r = 0.18) and "physical activity frequency" (r=-0.14) showed a strong correlation with anxiety.

Conclusion: The study identified the core and bridge symptoms of the physical activity and sleep disturbances symptom network, as well as key symptoms linked to anxiety and depression. Targeting these symptoms could disrupt their interactions, prevent negative outcomes, and enhance college student well-being.

大学生体育活动、睡眠障碍、抑郁和焦虑之间相互关系的网络分析。
背景:体力活动、睡眠障碍、焦虑和抑郁是相互关联的,但先前的研究集中在总分上,忽视了症状的相互作用和触发效应。本研究采用网络分析法,从症状-网络的角度探讨这些联系。方法:采用方便抽样法,于2024年9 - 10月对4683名大学生进行体育活动量表-3、匹兹堡睡眠质量指数量表、抑郁自评量表和焦虑自评量表的问卷调查。斯皮尔曼相关性用于探索这些变量之间的关系。网络分析揭示了身体活动和睡眠障碍之间的结构性联系,确定了核心症状和桥梁症状。Flow网络进一步探讨了身体活动和睡眠障碍对抑郁和焦虑的影响。结果:体力活动与睡眠障碍、抑郁和焦虑呈负相关(p结论:本研究确定了体力活动与睡眠障碍症状网络的核心和桥梁症状,以及与焦虑和抑郁相关的关键症状。针对这些症状可以破坏他们的互动,防止负面结果,并提高大学生的幸福感。
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
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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