Guerra Almudena, Fearon Paul, Sham Pak, Jones Peter, Lewis Shon, Mata Ignacio, Murray Robin
Gerencia Torribera, Santa Coloma de Gramenet, Barcelona, Spain.
Eur Psychiatry. 2002 Oct;17(6):311-20. doi: 10.1016/s0924-9338(02)00685-5.
Increasing evidence suggests psychosis may be more meaningfully viewed in dimensional terms rather than as discrete categorical states and that specific symptom clusters may be identified. If so, particular risk factors and premorbid factors may predict these symptom clusters.
(i) To explore, using principal component analysis, whether specific factors for psychotic symptoms can be isolated. (ii) To establish the predictors of the different symptom factors using multiple regression techniques.
One hundred and eighty-nine inpatients with psychotic illness were recruited and information on family history, premorbid factors and current symptoms obtained from them and their mothers.
Seven distinct symptom components were identified. Regression analysis failed to identify any developmental predictors of depression or mania. Delusions/hallucinations were predicted by a family history of schizophrenia and by poor school functioning in spite of normal premorbid IQ (F = 6.5; P < 0.001); negative symptoms by early onset of illness, developmental delay and a family history of psychosis (F = 4.1; P = 0.04). Interestingly disorganisation was predicted by the combination of family history of bipolar disorder and low premorbid IQ (F = 4.9; P = 0.003), and paranoia by obstetric complications (OCs) and poor school functioning (F = 4.2; P = 0.01).
Delusions and hallucinations, negative symptoms and paranoia all appeared to have a developmental origin though they were associated with different childhood problems. On the other hand, neither mania nor depression was associated with childhood dysfunction. Our most striking finding was that disorganisation appeared to arise when a familial predisposition to mania was compounded by low premorbid IQ.
越来越多的证据表明,精神病可能更有意义地从维度角度而非离散的分类状态来理解,并且可以识别出特定的症状群。如果是这样,特定的风险因素和病前因素可能预测这些症状群。
(i)使用主成分分析来探索是否可以分离出精神病症状的特定因素。(ii)使用多元回归技术确定不同症状因素的预测因素。
招募了189名患有精神病的住院患者,并从他们及其母亲那里获取了家族史、病前因素和当前症状的信息。
确定了七个不同的症状成分。回归分析未能识别出抑郁或躁狂的任何发育预测因素。精神分裂症家族史以及尽管病前智商正常但学校功能较差可预测妄想/幻觉(F = 6.5;P < 0.001);疾病早发、发育迟缓以及精神病家族史可预测阴性症状(F = 4.1;P = 0.04)。有趣的是,双相情感障碍家族史和低病前智商的组合可预测紊乱症状(F = 4.9;P = 0.003),而产科并发症(OCs)和学校功能较差可预测偏执症状(F = 4.2;P = 0.01)。
妄想和幻觉、阴性症状和偏执似乎都有发育起源,尽管它们与不同的童年问题相关。另一方面,躁狂和抑郁均与童年功能障碍无关。我们最显著的发现是,当躁狂的家族易感性与低病前智商相结合时,似乎会出现紊乱症状。