首都医科大学学报 ›› 2017, Vol. 38 ›› Issue (2): 178-185.doi: 10.3969/j.issn.1006-7795.2017.02.007

• 精神分裂症和抑郁症的基础和临床 • 上一篇    下一篇

健康人群和慢性精神分裂症病人前脉冲抑制的影响因素

范玉1, 杨宁波1, 田晴1, 朱秀强2, 王传跃1   

  1. 1. 首都医科大学附属北京安定医院, 精神病学系, 精神疾病诊断与治疗北京市重点实验室, 北京脑重大疾病研究院精神分裂症研究所, 北京 100088;
    2. 北京大兴区精神病医院, 北京 102600
  • 收稿日期:2017-01-20 出版日期:2017-03-21 发布日期:2017-04-17
  • 通讯作者: 王传跃,E-mail:wang.cy@163.net E-mail:wang.cy@163.net
  • 基金资助:
    国家自然科学基金(81471365),北京市科技计划(Z161100002616017),北京脑重大疾病研究院(PXM2015_014226_000051)

Prepulse inhibition and the related factors among healthy people and patients with chronic schizophrenia

Fan Yu1, Yang Ningbo1, Tian Qing1, Zhu Xiuqiang2, Wang Chuanyue1   

  1. 1. Department of Psychiatry, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China;
    2. Daxing Mental Hospital, Beijing 102600, China
  • Received:2017-01-20 Online:2017-03-21 Published:2017-04-17
  • Supported by:
    This study was supported by National Natural Science Foundation of China(81471365), Beijing Municipal Science and Technology Project(Z161100002616017), Beijing Institute for Brain Disorders(PXM2015_014226_000051)

摘要: 目的 本研究以健康人群和慢性精神分裂症病人为研究对象,初步探索两者前脉冲抑制(prepulse inhibition,PPI)的影响因素。方法 对50名健康成人(健康组)和75名精神分裂症病人(病人组)进行了PPI测试和认知测试。认知测试采用重复神经心理测查系统(Repeatable Battery for the Assessment of Neuropsychological Status,RBANS)和Stroop色词测验,并用阳性和阴性症状量表(Positive and Negative Syndrome Scale,PANSS)评定病人精神症状。结果 1)与健康组相比,病人组PPI抑制率降低(9.4%±29.3% vs 31.7%±26.2%,P<0.001);病人组RBANS总分及其5因子分数、Stroop颜色和词语干扰时间[(370.0±48.5),(55.5±15.5),(79.7±15.8),(77.9±12.3),(91.8±12.2),(65.3±18.3),(7.6±6.9)s,(24.5±12.9)s]与健康组的差异存在统计学意义(P<0.05)。2)健康人群PPI的影响因素分析:单因素分析显示,健康组性别(P<0.05)、吸烟量(r=0.29,P<0.05)、RBANS总分(r=0.30,P<0.05)、注意因子得分(r=0.29,P<0.05)对PPI抑制率的影响具有统计学意义;多因素岭回归分析显示,健康组岭参数k=2.95模型稳定,R2=0.33,PPI抑制率受到性别、吸烟量、RBANS总分、注意因子分的影响(P<0.05)。3)慢性精神分裂症病人PPI的影响因素分析:单因素分析显示,病人组吸烟量(r=0.23,P<0.05)、复发次数(>3次 vs≤3次,P<0.05)对PPI抑制率的影响差异具有统计学意义;多因素岭回归分析显示,病人组岭参数k=2.58模型稳定,R2=0.26,PPI抑制率受到性别、吸烟量和复发次数的影响(P<0.05)。结论 PPI抑制率是反映感觉门控功能的指标,健康人群和慢性精神分裂症病人PPI的影响因素不尽相同。女性、吸烟可能是精神分裂症病人感觉门控的保护性因素,而发病次数过多可能对精神分裂症病人感觉门控功能有损害。

关键词: 精神分裂症, 前脉冲抑制, 认知功能, 岭回归

Abstract: Objective To study the prepulse inhibition (PPI) and its related factors among healthy people and patients with chronic schizophrenia. Methods The PPI and cognitive performance (repeatable battery for the assessment of neuropsychological status (RBANS) and Stroop Color-world test) were tested in 50 healthy people (HP)and 75 chronic schizophrenia patients (SCZ). Positive and negative syndrome scale (PANSS) was used to evaluate the psychotic symptoms of patients. Results (1) Compared with HP, SCZ showed decreased PPI% (9.4%±29.3% vs 31.7%±26.2%,P<0.001), and the difference between two groups was found in cognitive performance (RBANS scores and its scores of all items in RBANS, Stroop color and word time). (2) Related factors of PPI% in healthy people:univariate analysis in PPI% showed that gender (male vs female, P<0.05), smoking (r=0.29,P<0.05), RBANS scores (r=0.30,P<0.05) and attention item scores (r=0.29,P<0.05) on the impact of the PPI% were statistically significant. Furthermore, multivariate ridge regression showed the same results as well as univariate analysis (ridge parameter k=2.95, adjusted R2=0.33, P<0.05). (3) Related factors of PPI% in people with chronic schizophrenia:PPI% was significantly correlated with smoking (r=0.23,P<0.05), relapses (>3 times vs≤3 times, P<0.05) in univariate analysis. And mutlivariate ridge regression showed the significantly related factors of PPI% in schizophrenia patients were gender, smoking and relapses (ridge parameter k=2.58, adjusted R2=0.26, P<0.05). Conclusion PPI% is an indicator of sensory gating, and its related factors may be different for different groups. Female and smoking may be protective factors for sensory gating in schizophrenia, more recurrence may be destroy the sensory gating function of patients with schizophrenia.

Key words: schizophrenia, prepulse inhibition, cognitive function, ridge regression

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