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首页> 外文期刊>East Asian Archives of Psychiatry >Premorbid Adjustment in Predicting Symptom Severity and Social Cognitive Deficits in Schizophrenia
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Premorbid Adjustment in Predicting Symptom Severity and Social Cognitive Deficits in Schizophrenia

机译:预测精神分裂症症状严重程度和社会认知障碍的病前调整

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Objective: Schizophrenia patients have deficits in premorbid adjustment (PMA) and social cognition (SC); both deficits are associated with symptom severity, neuro-cognitive deficits, and prognosis. This study aimed to determine symptom severity and two domains of SC deficit by assessing specific areas of PMA in schizophrenia patients. Methods: This cross-sectional study included 60 male and 60 female patients with paranoid schizophrenia aged 20 to 35 years from two psychiatric inpatient departments of Chhattisgarh state of India. They were assessed using the Scale for Assessment of Positive Symptoms, Scale for Assessment of Negative Symptoms, Premorbid Adjustment Scale, Recognition of Facial Expression Task, and Picture Arrangement Test. Results: Deficits in premorbid sociability and in scholastic performance were the best predictors of severity of positive symptoms, social knowledge, and negative emotion recognition deficit in schizophrenia patients. Conclusion: Given the important role of SC and PMA, assessing premorbid functioning can help in deciding early and appropriate intervention for schizophrenia.
机译:目的:精神分裂症患者病前调整(PMA)和社会认知(SC)存在缺陷;这两种缺陷都与症状严重程度,神经认知缺陷和预后有关。本研究旨在通过评估精神分裂症患者的PMA特定区域来确定症状严重程度和SC缺陷的两个领域。方法:这项横断面研究包括来自印度恰蒂斯加尔邦两个精神病住院部门的60例男性和60例女性偏执型精神分裂症患者,年龄在20至35岁之间。使用阳性症状评估量表,阴性症状评估量表,病前适应量表,面部表情任务识别和图片排列测试对他们进行评估。结果:精神分裂症患者患病前的社交能力和学业成绩的不足是阳性症状,社交知识和阴性情绪识别缺陷严重程度的最佳预测指标。结论:鉴于SC和PMA的重要作用,评估病前功能有助于确定早期和适当的精神分裂症干预措施。

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