• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Schizophrenia research >Psychopathology, social adjustment and personality correlates of schizotypy clusters in a large nonclinical sample.
【24h】

Psychopathology, social adjustment and personality correlates of schizotypy clusters in a large nonclinical sample.

机译：大量非临床样本中精神分裂症簇的心理病理学，社会适应能力和人格相关性。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

INTRODUCTION: Correlational methods, unlike cluster analyses, cannot take into account the possibility that individuals score highly on more than one symptom dimension simultaneously. This may account for some of the inconsistency found in the literature of correlates of schizotypy dimensions. This study explored the clustering of positive and negative schizotypy dimensions in nonclinical subjects and whether schizotypy clusters have meaningful patterns of adjustment in terms of psychopathology, social functioning, and personality. METHODS: Positive and negative schizotypy dimensional scores were derived from the Chapman Psychosis-Proneness Scales for 6137 college students and submitted to cluster analysis. Of these, 780 completed the NEO-PI-R and Social Adjustment Scale-self report version, and a further 430 were interviewed for schizophrenia-spectrum, mood, and substance use psychopathology. RESULTS: Four clusters were obtained: low (nonschizotypic), high positive, high negative, and mixed (high positive and negative) schizotypy. The positive schizotypy cluster presented high rates of psychotic-like experiences, schizotypal and paranoid symptoms, had affective and substance abuse pathology, and was open to experience and extraverted. The negative schizotypy cluster had high rates of negative and schizoid symptoms, impaired social adjustment, high conscientiousness and low agreeableness. The mixed cluster was the most deviant on almost all aspects. CONCLUSIONS: Our cluster solution is consistent with the limited cluster analytic studies reported in schizotypy and schizophrenia, indicating that meaningful profiles of schizotypy features can be detected in nonclinical populations. The clusters identified displayed a distinct and meaningful pattern of correlates in different domains, thus providing construct validity to the schizotypy types defined.
机译：简介：与聚类分析不同，相关方法不能考虑个体同时在多个症状维度上获得高分的可能性。这可能解释了精神分裂症相关性文献中发现的一些不一致之处。这项研究探讨了非临床受试者中精神分裂症正负维度的聚类，以及精神分裂症聚类在心理病理学，社会功能和人格方面是否具有有意义的调整模式。方法：从6137名大学生的查普曼精神病-精神错乱量表中得出正面和负面的精神分裂症维度评分，并进行聚类分析。其中，有780份完成了NEO-PI-R和“社会适应量表-自我”报告版本，另外430份接受了精神分裂症频谱，情绪和物质使用心理病理学的访谈。结果：获得了四个群集：低（非精神分裂型），高阳性，高阴性和混合（高阳性和阴性）精神分裂症。阳性的精神分裂症患者集群表现出较高的精神病样经历，精神分裂症和偏执症状，并具有情感和药物滥用病理学，易于经历和外向。阴性的精神分裂症患者的阴性和类精神症状的发生率较高，社会适应能力受损，尽职尽责，且难以接受。混合集群在几乎所有方面都是最偏差的。结论：我们的聚类解决方案与精神分裂症和精神分裂症中报道的有限的聚类分析研究一致，表明在非临床人群中可以检测到精神分裂症特征的有意义的概况。识别出的簇在不同域中显示出独特且有意义的相关模式，从而为定义的精神分裂症类型提供了构建效度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号