Strassnig Martin T, Raykov Tenko, O'Gorman Cedric, Bowie Christopher R, Sabbag Samir, Durand Dante, Patterson Thomas L, Pinkham Amy, Penn David L, Harvey Philip D
University of Miami Miller School of Medicine, United States.
Michigan State University, United States.
Schizophr Res. 2015 Jun;165(1):76-82. doi: 10.1016/j.schres.2015.03.033. Epub 2015 Apr 11.
Cognition, negative symptoms, and depression are potential predictors of disability in schizophrenia. We present analyses of pooled data from four separate studies (all n>169; total n=821) that assessed differential aspects of disability and their potential determinants. We hypothesized that negative symptoms would predict social outcomes, but not vocational functioning or everyday activities and that cognition and functional capacity would predict vocational functioning and everyday activities but not social outcomes. The samples were rated by clinician informants for their everyday functioning in domains of social and vocational outcomes, and everyday activities, examined with assessments of cognition and functional capacity, rated clinically with the Positive and Negative Syndrome Scale (PANSS) and self-reporting depression. We computed a model that tested the hypotheses described above and compared it to a model that predicted that negative symptoms, depression, cognition, and functional capacity had equivalent influences on all aspects of everyday functioning. The former, specific relationship model fit the data adequately and we subsequently confirmed a similar fit within all four samples. Analyses of the relative goodness of fit suggested that this specific model fit the data better than the more general, equivalent influence predictor model. We suggest that treatments aimed at cognition may not affect social functioning as much as other aspects of disability, a finding consistent with earlier research on the treatment of cognitive deficits in schizophrenia, while negative symptoms predicted social functioning. These relationships are central features of schizophrenia and treatment efforts should be aimed accordingly.
认知、阴性症状和抑郁是精神分裂症患者残疾的潜在预测因素。我们对四项独立研究(所有研究样本量n>169;总样本量n = 821)的汇总数据进行了分析,这些研究评估了残疾的不同方面及其潜在决定因素。我们假设阴性症状可预测社会结局,但不能预测职业功能或日常活动,而认知和功能能力可预测职业功能和日常活动,但不能预测社会结局。由临床信息提供者对样本在社会和职业结局领域的日常功能以及日常活动进行评分,并通过认知和功能能力评估、使用阳性和阴性症状量表(PANSS)进行临床评分以及自我报告抑郁情况来进行检查。我们构建了一个模型来检验上述假设,并将其与一个预测阴性症状、抑郁、认知和功能能力对日常功能的各个方面具有同等影响的模型进行比较。前一个特定关系模型能够充分拟合数据,随后我们在所有四个样本中均证实了类似的拟合效果。对相对拟合优度的分析表明,这个特定模型比更一般的同等影响预测模型能更好地拟合数据。我们认为,针对认知的治疗可能对社会功能的影响不如对残疾的其他方面的影响大,这一发现与早期关于精神分裂症认知缺陷治疗的研究一致,而阴性症状可预测社会功能。这些关系是精神分裂症的核心特征,治疗措施应据此制定。