• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新冠疫情校园关闭前后睡眠障碍症状与攻击性行为之间的相互关系:来自交叉滞后面板网络模型的见解。

The interrelationship between sleep disturbance symptoms and aggression before and after the campus closure of the COVID-19 pandemic: insight from a cross-lagged panel network model.

机构信息

Lianyungang Fourth People's Hospital, Lianyungang, China.

Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.

出版信息

Front Public Health. 2024 Mar 21;12:1357018. doi: 10.3389/fpubh.2024.1357018. eCollection 2024.

DOI:10.3389/fpubh.2024.1357018
PMID:38577287
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10991807/
Abstract

BACKGROUND

The COVID-19 pandemic is detrimental to sleep quality and increases aggression among college students. Nevertheless, relevant studies were rare. Hence, we collected longitudinal data during and post-campus closure in the current study to investigate the relationship between sleep disturbance and aggression.

METHODS

Data from 665 college students (59.2% females,  = 19.01, SD  = 1.25) were collected before (wave 1) and after (wave 2) the campus closure of COVID-19. All participants were asked to fill out the Buss-Perry Aggression Questionnaire and the Youth Self-Rating Insomnia Scale. Two symptom networks and a cross-lagged panel network were formed and tested.

RESULTS

Hostility has the highest centrality in the symptom network both in waves 1 and 2, and it bridges sleep disturbance and aggression. "Easily be woken" - "wake up too early" and "wake up with tired" - "function hindrance" are two important symptom associations in networks of waves 1 and 2. All symptoms except "" and "" ameliorated after closure. Moreover, "" and "hostility" can trigger other symptoms in wave 2.

CONCLUSION

As the first study about aggression and sleep disturbance in the background of COVID-19, we provide valuable information about the relationship between sleep disturbance and aggression on the symptom dimension.

摘要

背景

COVID-19 大流行对大学生的睡眠质量和攻击性都有不利影响。然而,相关研究却很少。因此,我们在本研究中收集了校园关闭期间和之后的纵向数据,以调查睡眠障碍与攻击性之间的关系。

方法

本研究共收集了 665 名大学生(59.2%为女性,均值=19.01,标准差=1.25)的数据,这些数据分别来自校园关闭前(第 1 波)和关闭后(第 2 波)。所有参与者都被要求填写 Buss-Perry 攻击性问卷和青少年自评失眠量表。形成并测试了两个症状网络和一个交叉滞后面板网络。

结果

在第 1 波和第 2 波中,敌意在症状网络中具有最高的中心性,并且它连接了睡眠障碍和攻击性。“容易被唤醒”-“早醒”和“醒来时感到疲倦”-“功能障碍”是第 1 波和第 2 波网络中的两个重要症状关联。除了“”和“”之外,所有症状在关闭后都有所改善。此外,“”和“敌意”可以在第 2 波中引发其他症状。

结论

作为 COVID-19 背景下关于攻击性和睡眠障碍的第一项研究,我们提供了关于睡眠障碍和攻击性在症状维度上关系的有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/5d06da6e4f5d/fpubh-12-1357018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/84d61f0b6e17/fpubh-12-1357018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/ea2241ab2953/fpubh-12-1357018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/5c15c87ff27c/fpubh-12-1357018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/5d06da6e4f5d/fpubh-12-1357018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/84d61f0b6e17/fpubh-12-1357018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/ea2241ab2953/fpubh-12-1357018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/5c15c87ff27c/fpubh-12-1357018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36bc/10991807/5d06da6e4f5d/fpubh-12-1357018-g004.jpg

相似文献

1
The interrelationship between sleep disturbance symptoms and aggression before and after the campus closure of the COVID-19 pandemic: insight from a cross-lagged panel network model.新冠疫情校园关闭前后睡眠障碍症状与攻击性行为之间的相互关系:来自交叉滞后面板网络模型的见解。
Front Public Health. 2024 Mar 21;12:1357018. doi: 10.3389/fpubh.2024.1357018. eCollection 2024.
2
Does sleep disturbance predicts posttraumatic stress disorder and depression among college students during COVID-19 lockdown? A longitudinal survey.新冠疫情封锁期间,睡眠障碍是否会预测大学生的创伤后应激障碍和抑郁?一项纵向调查。
Front Public Health. 2022 Sep 13;10:986934. doi: 10.3389/fpubh.2022.986934. eCollection 2022.
3
Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation.大学生集体隔离期间及之后焦虑、抑郁与睡眠障碍的交叉滞后关系。
Front Public Health. 2022 Dec 6;10:1038862. doi: 10.3389/fpubh.2022.1038862. eCollection 2022.
4
Longitudinal association between problematic smartphone use and sleep disorder among Chinese college students during the COVID-19 pandemic.新冠疫情期间中国大学生智能手机成瘾与睡眠障碍的纵向关联。
Addict Behav. 2023 Sep;144:107715. doi: 10.1016/j.addbeh.2023.107715. Epub 2023 Apr 8.
5
Mapping network connection among symptoms of anxiety, depression, and sleep disturbance in Chinese high school students.绘制中国高中生焦虑、抑郁和睡眠障碍症状之间的网络关系图。
Front Public Health. 2022 Sep 23;10:1015166. doi: 10.3389/fpubh.2022.1015166. eCollection 2022.
6
Centrality and bridge symptoms of anxiety, depression, and sleep disturbance among college students during the COVID-19 pandemic-a network analysis.新冠疫情期间大学生焦虑、抑郁和睡眠障碍的中心性与桥梁症状——一项网络分析
Curr Psychol. 2022 Aug 3:1-12. doi: 10.1007/s12144-022-03443-x.
7
Risk factors associated with sleep disturbance following traumatic brain injury: clinical findings and questionnaire based study.颅脑损伤后睡眠障碍相关的风险因素:临床发现和基于问卷的研究。
PLoS One. 2013 Oct 1;8(10):e76087. doi: 10.1371/journal.pone.0076087. eCollection 2013.
8
Sleep disorders reveal distress among children and adolescents during the Covid-19 first wave: results of a large web-based Italian survey.睡眠障碍揭示了新冠疫情第一波期间儿童和青少年的痛苦:一项大型基于网络的意大利调查结果。
Ital J Pediatr. 2021 Jun 4;47(1):130. doi: 10.1186/s13052-021-01083-8.
9
Internet Gaming Disorder and Aggression among Students on School Closure during COVID-19 Pandemic.新冠疫情期间学校关闭期间学生的网络成瘾障碍与攻击行为。
J Nepal Health Res Counc. 2022 Jun 2;20(1):41-46. doi: 10.33314/jnhrc.v20i01.3737.
10
Factors Associated with Insomnia and Aggression among Healthcare Workers during COVID-19 Pandemic.与 COVID-19 大流行期间医护人员失眠和攻击行为相关的因素。
Int J Environ Res Public Health. 2023 Jan 12;20(2):1433. doi: 10.3390/ijerph20021433.

本文引用的文献

1
Psychometric properties of the Youth Self-rated Insomnia Scale (YSIS) in adolescent psychiatric patients.青少年精神病患者中青少年自评失眠量表(YSIS)的心理测量特性。
Sleep Biol Rhythms. 2023 Sep 20;22(1):103-111. doi: 10.1007/s41105-023-00487-9. eCollection 2024 Jan.
2
The impact of long-term online learning on social anxiety and problematic smartphone use symptoms among secondary school students with different levels of fear of missing out: Evidence from a symptom network and longitudinal panel network analysis.长期网络学习对不同社交回避及苦恼程度中学生社交焦虑和问题性智能手机使用的影响:基于症状网络和纵向面板网络分析的证据。
J Behav Addict. 2024 Jan 9;13(1):102-119. doi: 10.1556/2006.2023.00081. Print 2024 Mar 26.
3
Mapping network connection and direction between anxiety and depression symptoms across the early, middle, and late adolescents: Insights from a large Chinese sample.
绘制青少年早期、中期和晚期焦虑和抑郁症状之间的网络连接和方向:来自中国大样本的见解。
J Psychiatr Res. 2024 Jan;169:174-183. doi: 10.1016/j.jpsychires.2023.11.035. Epub 2023 Nov 28.
4
The Impact of Long-Term Online Learning on Internet Addiction Symptoms among Depressed Secondary School Students: Insights from a Cross-Panel Network Analysis.长期在线学习对抑郁中学生网络成瘾症状的影响:来自跨面板网络分析的见解
Behav Sci (Basel). 2023 Jun 21;13(7):520. doi: 10.3390/bs13070520.
5
The association between online learning, parents' marital status, and internet addiction among adolescents during the COVID-19 pandemic period: A cross-lagged panel network approach.新冠疫情期间在线学习、父母婚姻状况与青少年网络成瘾的关系:交叉滞后面板网络方法。
J Affect Disord. 2023 Jul 15;333:553-561. doi: 10.1016/j.jad.2023.04.096. Epub 2023 Apr 29.
6
Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID-19 pandemic lockdown: A longitudinal moderated network approach.新冠疫情封锁期间及之后个人相对剥夺感对愤怒反刍与攻击行为之间关系的影响:一种纵向调节网络方法
J Adolesc. 2023 Apr;95(3):596-608. doi: 10.1002/jad.12140. Epub 2023 Jan 13.
7
Mapping network connection among symptoms of anxiety, depression, and sleep disturbance in Chinese high school students.绘制中国高中生焦虑、抑郁和睡眠障碍症状之间的网络关系图。
Front Public Health. 2022 Sep 23;10:1015166. doi: 10.3389/fpubh.2022.1015166. eCollection 2022.
8
Sleep Disturbance in Chinese College Students with Mental Health Problems: A Moderated Mediation Model.心理健康问题对中国大学生睡眠的影响:一个有调节的中介模型。
Int J Environ Res Public Health. 2022 Nov 6;19(21):14570. doi: 10.3390/ijerph192114570.
9
Two years after lockdown: Longitudinal trajectories of sleep disturbances and mental health over the COVID-19 pandemic, and the effects of age, gender and chronotype.封锁两年后:COVID-19 大流行期间睡眠障碍和心理健康的纵向轨迹,以及年龄、性别和昼夜类型的影响。
J Sleep Res. 2023 Jun;32(3):e13767. doi: 10.1111/jsr.13767. Epub 2022 Nov 1.
10
Hopelessness during and after the COVID-19 pandemic lockdown among Chinese college students: A longitudinal network analysis.新冠疫情封锁期间和之后中国大学生的绝望感:一项纵向网络分析。
J Clin Psychol. 2023 Mar;79(3):748-761. doi: 10.1002/jclp.23439. Epub 2022 Aug 29.