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精神分裂症患者敌意归因偏向与PANSS评分、睡眠质量的相关性研究
作者:张娟  毛红岩  张栋  杨燕 
单位:安徽省宿州市第二人民医院 精神科, 安徽 宿州 234000
关键词:精神分裂症 敌意归因偏向 阳性和阴性症状量表 睡眠质量 相关性 
分类号:R749.3
出版年·卷·期(页码):2025·53·第一期(68-74)
摘要:

目的: 探究精神分裂症患者敌意归因偏向与阳性和阴性症状量表(PANSS)评分、睡眠质量相关性。方法: 选择2022年1月至2024年3月我院收治的110例精神分裂症患者为研究组,同时选择同期在我院体检的健康者42例为对照组,采用中文版模棱两可、目的和敌意问卷(AIHQ-C)、PANSS评分、匹兹堡睡眠质量指数(PSQI)分别评估并比较两组敌意归因偏向、神经症状及睡眠质量,分析AIHQ-C评分与PANSS评分、PSQI的相关性;收集研究组患者相关资料,分析患者敌意归因偏向影响因素。结果: 研究组患者责备偏向、敌意偏向、攻击偏向评分与AIHQ-C总评分均高于对照组,一般精神病理症状、阳性症状、阴性症状评分与PANSS评分高于对照组,催眠药物、睡眠质量、睡眠效率、入睡时间、睡眠障碍、睡眠时间、日间功能障碍与PSQI评分高于对照组(P<0.05);Pearson相关性分析AIHQ-C评分与PANSS评分及PSQI评分呈正相关(P<0.05);单因素与多元线性回归分析显示,年龄、学历、病程为患者敌意归因偏向影响因素(P<0.05),是否合并基础疾病、家庭收入、发病情况为非患者敌意归因偏向影响因素(P>0.05)。结论: 精神分裂症患者存在显著敌意归因偏向趋势,其与患者PANSS评分、睡眠质量关系密切,且会受年龄、学历、病程等因素影响。

Objective: To explore the correlation between the hostility attribution bias and the Positive and Negative Symptom Scale(PANSS) scores and sleep quality in patients with schizophrenia. Methods: A total of 110 patients with schizophrenia admitted to our hospital from January 2022 to March 2024 were selected as study group. At the same time, 42 healthy subjects were selected as control group. The Chinese version of ambiguous, intentions and hostility questionnaire(AIHQ-C), PANSS score and Pittsburgh sleep quality index(PSQI) were used to evaluate and compare the hostility attribution bias, neurological symptoms and sleep quality of the two groups, respectively. The correlation among AIHQ-C score, PANSS score and PSQI was analyzed. The related data of patients in the study group were collected and the influencing factors of patients' hostility attribution bias were analyzed. Results: The scores of blame bias, hostility bias, aggression bias and AIHQ-C in the study group were higher than those in the control group. The scores of general psychopathological symptoms, positive symptoms, negative symptoms and PANSS were higher, and hypnotic drugs, sleep quality, sleep efficiency, sleep time, sleep disorder, sleep time, daytime dysfunction and PSQI scores were higher than those in the the study group(P<0.05). Pearson correlation analysis showed that AIHQ-C score was positively correlated with PANSS score and PSQI score(P<0.05). Univariate and multiple linear regression analyses showed that age, educational background and course of disease were the influencing factors of hostility attribution bias(P<0.05). The combination of underlying disease, family income, and morbidity were not the influencing factors(P>0.05). Conclusion: There is a significant trend of hostility attribution bias in patients with schizophrenia, which is closely related to PANSS score and sleep quality of patients, and is affected by age, education, course of disease and other factors.

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