情感识别、神经认知与精神分裂症临床症状的功能意义
The Functional Significance of Affect Recognition, Neurocognition, and Clinical Symptoms in Schizophrenia.
作者信息
Huang Charles Lung-Cheng, Hsiao Sigmund
机构信息
Department of Psychiatry, Chi Mei Medical Hospital, Tainan, Taiwan.
Department of Social Work, Chia Nan University of Pharmacy and Science, Tainan, Taiwan.
出版信息
PLoS One. 2017 Jan 18;12(1):e0170114. doi: 10.1371/journal.pone.0170114. eCollection 2017.
OBJECTIVES
The complex relationship and exact extent of the contribution of plausible indictors to social functional outcome in schizophrenia remain unclear. The present study aimed to explore the functional significance of clinical symptoms, neurocognition, and affect recognition simultaneously in schizophrenia.
METHODS
The clinical symptoms, basic neurocognition, facial emotion recognition, and social functioning of 154 subjects, including 74 with schizophrenia and 80 nonclinical comparisons, were assessed.
RESULTS
We observed that various subdomains of social functioning were extensively related to general intelligence, basic neurocognition, facial emotion recognition, and clinical symptoms, with different association patterns. Multivariate regression analyses revealed that years of education, age, sustained attention, working memory, and facial emotion recognition were significantly associated with global social functioning in schizophrenia.
CONCLUSION
Our findings suggest that affect recognition combined with nonsocial neurocognition demonstrated a crucial role in predicting global social function in schizophrenia.
目的
在精神分裂症中，合理指标与社会功能结局之间的复杂关系及确切贡献程度仍不明确。本研究旨在同时探讨精神分裂症患者临床症状、神经认知和情感识别的功能意义。
方法
评估了154名受试者的临床症状、基本神经认知、面部表情识别和社会功能，其中包括74名精神分裂症患者和80名非临床对照者。
结果
我们观察到社会功能的各个子领域与一般智力、基本神经认知、面部表情识别和临床症状广泛相关，且关联模式各异。多元回归分析显示，受教育年限、年龄、持续注意力、工作记忆和面部表情识别与精神分裂症患者的整体社会功能显著相关。
结论
我们的研究结果表明，情感识别与非社会性神经认知相结合在预测精神分裂症患者的整体社会功能方面发挥着关键作用。
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