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Evidence for the continuum-severity model of psychosis through scrutiny of the architecture of symptoms associated with schizophrenia

机译:通过审查与精神分裂症相关的症状造成审查的心理症的持续严重性模型

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The psychosis continuum provides a framework to develop a compelling insight into the architecture of psychotic experiences in non-clinical samples. Using schizophrenia-specific measures within non-clinical samples offers further opportunity to investigate psychotic experiences and compare to those reported in clinical samples. A cross sectional survey method was used to collect data from a non-clinical sample (n = 510) using the Schizophrenia Quality of Life Scale-Revision 4 (SQLS-R4) and the Hospital Anxiety and Depression Scale (HADS). Conducting confirmatory factor analysis and bi-factor modelling found that a bi-factor model offered a better model fit to the data than the established two factor model. A general factor explained most item variance whilst seven domain specific factors explained a further small amount of item variance. Participants with higher anxiety reported comparatively poorer Quality of Life to those with lower anxiety. Comparison with data taken from a clinical sample found similarities in both the internal consistency and correlation coefficients between SQLS-R4 totals and sub-scales and HADS total scores and sub-scales. These results show the presence of a robust general psychosis Quality of Life factor within a non-clinical sample. The use of schizophrenia-specific measures and bi-factor modelling can provide suitable methods for investigating the nature of the psychosis continuum.
机译:精神病率连续化提供了一个框架,可以在非临床样本中的精神病体验中制定令人信服的洞察力。在非临床样本中使用精神分裂症的措施提供了调查精神病经验并与临床样本报告的人进行比较的机会。使用横截面测量方法使用精神分裂症质量 - 修订4(SQLS-R4)和医院焦虑和抑郁尺度(HAFS)来从非临床样本(n = 510)中收集来自非临床样本(n = 510)的数据。进行确认因子分析和双因素建模发现,双因素模型提供了比建立的两个因子模型更好的模型适合数据。一般因素解释了大多数项目方差,而七个域特定因素解释了另一个少量的项目方差。焦虑较高的参与者报告对焦虑较低的人的生活质量相对较差。与从临床样本所采取的数据进行比较,发现了SQL-R4总计和子尺度之间的内部一致性和相关系数的相似度,并且具有总分数和子标度。这些结果表明,在非临床样本中存在稳健的一般精神病质量。使用精神分裂症特异性措施和双因子建模可以提供适当的方法来调查精神病的连续性的性质。

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