Suppr超能文献

运动异常可预测临床高危个体向精神病的转变。

Movement abnormalities predict transitioning to psychosis in individuals at clinical high risk for psychosis.

作者信息

Callaway Dallas A, Perkins Diana O, Woods Scott W, Liu Lu, Addington Jean

机构信息

Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Alberta, Canada.

Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Schizophr Res. 2014 Nov;159(2-3):263-6. doi: 10.1016/j.schres.2014.09.031. Epub 2014 Oct 11.

Abstract

Improving upon the predictive validity of determining the transition from high risk to actual psychosis is a primary aim of early intervention research. Previous research has suggested that premorbid spontaneous dyskinesias may be one possible predictor. In this study, dyskinetic movements were assessed with the Abnormal Involuntary Movement Scale (AIMS) at baseline of a longitudinal study of 148 individuals at clinical high risk (CHR) of developing psychosis. Twenty-eight individuals transitioned to a psychotic disorder over the course of the study. Group comparisons between transitioned and non-transitioned individuals indicated that, relative to those that were not observed to transition, participants that developed a psychotic disorder exhibited greater spontaneous dyskinesias at baseline. Moreover, increased dyskinetic movements at baseline resulted in a more than two-fold increase in odds of developing a psychosis for each point increase in AIMS scale score. These findings suggest that individuals with greater premorbid dyskinetic movements may comprise a subset of CHR individuals at inordinate risk to decompensate into psychosis. Future work should employ assessments of spontaneous dyskinesias by instrumentation (e.g., electromyography) and look to ascertain whether specific dyskinesias (e.g., dystonia) or dyskinesias of specific body regions are associated with transitioning to psychosis.

摘要

提高确定从高危状态向实际精神病转变的预测效度是早期干预研究的主要目标。先前的研究表明,病前自发运动障碍可能是一种可能的预测指标。在本研究中,对148名临床高危(CHR)精神病患者进行了一项纵向研究,在基线时用异常不自主运动量表(AIMS)评估运动障碍。在研究过程中,有28人转变为精神病性障碍。转变者与未转变者之间的组间比较表明,相对于未观察到转变的人,发展为精神病性障碍的参与者在基线时表现出更大的自发运动障碍。此外,基线时运动障碍增加,AIMS量表评分每增加一分,发展为精神病的几率就会增加两倍多。这些发现表明,病前运动障碍较大的个体可能是CHR个体中过度分解为精神病风险过高的一个亚组。未来的研究应该通过仪器(如肌电图)对自发运动障碍进行评估,并确定是否有特定的运动障碍(如肌张力障碍)或特定身体部位的运动障碍与转变为精神病有关。

相似文献

5
Affect recognition in people at clinical high risk of psychosis.精神病高危人群的情感识别。
Schizophr Res. 2012 Sep;140(1-3):87-92. doi: 10.1016/j.schres.2012.06.012. Epub 2012 Jul 3.
7
Substance use in individuals at clinical high risk of psychosis.处于临床精神病高风险个体的物质使用情况。
Psychol Med. 2015 Aug;45(11):2275-84. doi: 10.1017/S0033291715000227. Epub 2015 Mar 2.

引用本文的文献

3
Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic.将计算机化数字符号测试与纸笔经典测试进行比较。
Schizophr Bull Open. 2023 Sep 28;4(1):sgad027. doi: 10.1093/schizbullopen/sgad027. eCollection 2023 Jan.
6
Longitudinal Gray Matter Development Associated With Psychotic Experiences in Young People.年轻人中与精神病体验相关的纵向灰质发育
Biol Psychiatry Glob Open Sci. 2022 Feb 17;3(2):264-273. doi: 10.1016/j.bpsgos.2022.02.003. eCollection 2023 Apr.

本文引用的文献

8
Circuits and circuit disorders of the basal ganglia.基底神经节的神经回路及其紊乱
Arch Neurol. 2007 Jan;64(1):20-4. doi: 10.1001/archneur.64.1.20.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验