Department of Mental Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Psychiatry, St. Olav's University Hospital, Trondheim, Norway.
Department of Clinical Medicine, Section for Psychiatry, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; Division of Mental Health Care, Valen Hospital, Fonna Local Health Authority, Valen, Norway.
Psychiatry Res. 2018 Dec;270:418-425. doi: 10.1016/j.psychres.2018.10.004. Epub 2018 Oct 2.
The purpose of this study was to compare 24-h motor activity patterns between and within three groups of acutely admitted inpatients with schizophrenia and psychotic disorders (n = 28), bipolar mania (n = 18) and motor-retarded unipolar depression (n = 25) and one group of non-hospitalized healthy individuals (n = 28). Motor activity was measured by wrist actigraphy, and analytical approaches using linear and non-linear variability and irregularity measures were undertaken. In between-group comparisons, the schizophrenia group showed more irregular activity patterns than depression cases and healthy individuals. The schizophrenia and mania cases were clinically similar with respect to high prevalence of psychotic symptoms. Although they could not be separated by a formal statistical test, the schizophrenia cases showed more normal amplitudes in morning to evening mean activity and activity variability. Schizophrenia constituted an independent entity in terms of motor activation that could be distinguished from the other diagnostic groups of psychotic and non-psychotic affective disorders. Despite limitations such as small subgroups, short recordings and confounding effects of medication/hospitalization, these results suggest that detailed temporal analysis of motor activity patterns can identify similarities and differences between prevalent functional psychiatric disorders. For this purpose, irregularity measures seem particularly useful to characterize psychotic symptoms and should be explored in larger samples with longer-term recordings, while searching for underlying mechanisms of motor activity disturbances.
这项研究的目的是比较三组急性住院精神分裂症和精神病患者（n=28）、双相情感障碍躁狂症（n=18）和运动迟缓性单相抑郁症（n=25）以及一组非住院健康个体（n=28）之间和组内的 24 小时运动活动模式。运动活动通过腕部动作记录仪测量，并采用线性和非线性变异性和不规则性测量方法进行分析。在组间比较中，精神分裂症组的活动模式比抑郁症患者和健康个体更为不规则。精神分裂症和躁狂症病例在精神病症状高发方面具有临床相似性。尽管它们不能通过正式的统计测试分开，但精神分裂症病例在早晨到晚上的平均活动和活动变异性方面显示出更高的正常振幅。精神分裂症在运动激活方面是一个独立的实体，可以与其他精神病和非精神病性情感障碍的诊断组区分开来。尽管存在小组规模较小、记录时间短以及药物/住院治疗的混杂影响等限制，但这些结果表明，对运动活动模式的详细时间分析可以识别常见功能性精神障碍之间的相似之处和差异。为此，不规则性测量似乎特别有助于表征精神病症状，应在具有更长记录时间的更大样本中进行探索，同时寻找运动活动障碍的潜在机制。
