• 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

抑郁症患者日间情绪变化的纵向研究:特征与意义

A longitudinal study of diurnal mood variation in depression; characteristics and significance.

作者信息

Gordijn M C, Beersma D G, Bouhuys A L, Reinink E, Van den Hoofdakker R H

机构信息

Department of Biological Psychiatry, University Clinic, Groningen, The Netherlands.

出版信息

J Affect Disord. 1994 Aug;31(4):261-73. doi: 10.1016/0165-0327(94)90102-3.

DOI:10.1016/0165-0327(94)90102-3
PMID:7989641
Abstract

The course of 39 depressed in-patients' daily mood was recorded by means of frequent self-ratings during their entire stay (in total 3718 days). The frequency of diurnal variations largely varies between subjects without clear dichotomy in 'diurnal' and 'non-diurnal' subjects and the occurrence of diurnal variations is rather irregular. Mood variability measures rather than average daily mood improvement correlate with the response to sleep deprivation. These observations do not support theories of chronobiological rhythm disturbances in depression. It is argued that depressed subjects largely vary in susceptibility to stimuli. Signals generated by the biological clock or by processes related to the sleep-wake cycle are considered examples of such stimuli.

摘要

通过在39名抑郁症住院患者的整个住院期间(共3718天)频繁进行自我评分,记录了他们每日的情绪变化过程。昼夜变化的频率在个体之间差异很大,在“昼夜型”和“非昼夜型”个体之间没有明显的二分法,而且昼夜变化的发生相当不规律。情绪变异性指标而非每日平均情绪改善情况与睡眠剥夺反应相关。这些观察结果不支持抑郁症存在生物钟节律紊乱的理论。有人认为,抑郁症患者对刺激的易感性差异很大。生物钟或与睡眠-觉醒周期相关的过程产生的信号被认为是此类刺激的例子。

相似文献

1
A longitudinal study of diurnal mood variation in depression; characteristics and significance.抑郁症患者日间情绪变化的纵向研究:特征与意义
J Affect Disord. 1994 Aug;31(4):261-73. doi: 10.1016/0165-0327(94)90102-3.
2
Prediction of the antidepressant response to total sleep deprivation of depressed patients: longitudinal versus single day assessment of diurnal mood variation.抑郁症患者完全睡眠剥夺抗抑郁反应的预测:昼夜情绪变化的纵向评估与单日评估
Biol Psychiatry. 1993 Oct 1;34(7):471-81. doi: 10.1016/0006-3223(93)90238-9.
3
Prediction of sleep deprivation outcome by diurnal variation of mood.
Biol Psychiatry. 1992 Feb 1;31(3):271-8. doi: 10.1016/0006-3223(92)90050-a.
4
Prediction of the antidepressant response to total sleep deprivation by diurnal variation of mood.通过情绪的昼夜变化预测对完全睡眠剥夺的抗抑郁反应。
Psychiatry Res. 1990 May;32(2):113-24. doi: 10.1016/0165-1781(90)90077-i.
5
Relations between depressed mood and vocal parameters before, during and after sleep deprivation: a circadian rhythm study.睡眠剥夺前、期间及之后抑郁情绪与嗓音参数之间的关系:一项昼夜节律研究。
J Affect Disord. 1990 Aug;19(4):249-58. doi: 10.1016/0165-0327(90)90102-e.
6
[Diurnal variations of symptoms of depression].[抑郁症症状的昼夜变化]
Fortschr Neurol Psychiatr. 1991 Apr;59(4):103-16. doi: 10.1055/s-2007-1000684.
7
Diurnal mood variation in major depressive disorder.重度抑郁症的昼夜情绪变化
Emotion. 2006 Aug;6(3):383-91. doi: 10.1037/1528-3542.6.3.383.
8
Diurnal variation: reliability of measurement and relationship to typical and atypical symptoms of depression.
J Affect Disord. 1992 Nov;26(3):199-204. doi: 10.1016/0165-0327(92)90016-y.
9
Diurnal variations of mood in depressed patients in relation to severity of depression.抑郁症患者情绪的昼夜变化与抑郁严重程度的关系。
J Affect Disord. 1990 May;19(1):37-41. doi: 10.1016/0165-0327(90)90007-u.
10
Effect of morning and afternoon naps on mood after total sleep deprivation in patients with major depression.
Biol Psychiatry. 1993 Mar 15;33(6):467-76. doi: 10.1016/0006-3223(93)90175-d.

引用本文的文献

1
Prevalence and Correlates of Diurnal Mood Variation in Chinese Adolescents with Major Depressive Disorder and Anxiety Symptoms: A Cross-Sectional Study.患有重度抑郁症和焦虑症状的中国青少年日间情绪变化的患病率及其相关因素:一项横断面研究。
Neuropsychiatr Dis Treat. 2025 Feb 21;21:347-353. doi: 10.2147/NDT.S484456. eCollection 2025.
2
Fatigue characteristics on dialysis and non-dialysis days in patients with chronic kidney failure on maintenance hemodialysis.维持性血液透析慢性肾衰竭患者透析日与非透析日疲劳特点。
BMC Nephrol. 2021 Mar 27;22(1):112. doi: 10.1186/s12882-021-02314-0.
3
Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study.
通过使用元数据探究智能手机上的抑郁与社交行为之间的相关性:实证研究。
JMIR Mhealth Uhealth. 2021 Jan 6;9(1):e19046. doi: 10.2196/19046.
4
Genomics of circadian rhythms in health and disease.生物钟节律的基因组学:健康与疾病。
Genome Med. 2019 Dec 17;11(1):82. doi: 10.1186/s13073-019-0704-0.
5
Associations between Self-Reported Daily Affect Ratings and Sleep Duration during the First Two Weeks of Antidepressant Therapy.抗抑郁治疗头两周内的自我报告日常情绪评分与睡眠时间之间的关联。
Behav Sleep Med. 2021 Jan-Feb;19(1):1-11. doi: 10.1080/15402002.2019.1695617. Epub 2019 Nov 23.
6
Social jetlag is associated with an increased likelihood of having depressive symptoms among the Japanese working population: the Furukawa Nutrition and Health Study.社会时差与日本劳动人口中抑郁症状的发生几率增加有关:古川营养与健康研究。
Sleep. 2020 Jan 13;43(1). doi: 10.1093/sleep/zsz204.
7
Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder.将动态系统模型和网络理论应用于重度抑郁症
Front Psychol. 2019 Aug 7;10:1762. doi: 10.3389/fpsyg.2019.01762. eCollection 2019.
8
Circadian reinforcement therapy in combination with electronic self-monitoring to facilitate a safe post-discharge period of patients with depression by stabilizing sleep: protocol of a randomized controlled trial.通过稳定睡眠,联合昼夜节律强化治疗和电子自我监测,以促进抑郁症患者安全出院后阶段:一项随机对照试验的方案。
BMC Psychiatry. 2019 Apr 25;19(1):124. doi: 10.1186/s12888-019-2101-z.
9
Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data.与抑郁症相关的健康信息搜索的日变化:芬兰使用谷歌趋势数据的案例研究。
JMIR Ment Health. 2018 May 23;5(2):e43. doi: 10.2196/mental.9152.
10
Disturbances of diurnal phase markers, behavior, and clock genes in a rat model of depression; modulatory effects of agomelatine treatment.昼夜节律标志物、行为和时钟基因在抑郁大鼠模型中的紊乱;阿戈美拉汀治疗的调节作用。
Psychopharmacology (Berl). 2018 Mar;235(3):627-640. doi: 10.1007/s00213-017-4781-8. Epub 2017 Nov 19.