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精神分裂型人格特质的网络结构。

The Network Structure of Schizotypal Personality Traits.

机构信息

Department of Educational Sciences, University of La Rioja, La Rioja, Spain.

Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain.

出版信息

Schizophr Bull. 2018 Oct 15;44(suppl_2):S468-S479. doi: 10.1093/schbul/sby044.

Abstract

Elucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites (M age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar (r = .74), node centrality was similar across networks (r = .90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure (r = 0.44), node centrality (r = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics.

摘要

如果我们要了解精神病谱系易感性的各种表现,并可靠地识别出患有精神病风险高的个体,那么阐明精神分裂型特质是很重要的。本研究考察了(1)9 个精神分裂型人格领域和(2)74 个个体精神分裂型项目的网络结构,(3)并探讨了网络是否因性别和文化(北美与中国)而异。该研究在来自 12 个国家和 21 个地点的 27001 名参与者的样本中进行(M 年龄= 22.12;SD = 6.28;37.5%男性)。使用精神分裂型人格问卷(SPQ)评估 74 个自我报告项目,这些项目聚合在 9 个领域中。我们使用网络模型来估计变量之间的条件依存关系。在领域层面的网络中,精神分裂型特质相互之间强烈关联。可预测性(每个节点的解释方差)范围从 31%(奇异/神奇的信念)到 55%(限制的情感),平均值为 43.7%。在项目层面的网络中,变量显示出了跨领域的关系,尽管领域内的关联通常更强。SPQ 项目的平均可预测性为 27.8%。男性和女性的网络结构相似(r =.74),网络中的节点中心度相似(r =.90),连通性也相似(分别为 195.59 和 199.70)。北美和中国参与者的网络在结构(r = 0.44)、节点中心度(r = 0.56)和连通性(180.35 和 153.97)方面的相似性较低。总之,本文指出了将精神分裂型人格概念化为相互作用的认知、情感和情感特征的复杂系统的价值。

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