Fonseca-Pedrero Eduardo, Ortuño-Sierra Javier, Inchausti Felix, Rodríguez-Testal Juan Francisco, Debbané Martin
Department of Educational Sciences, University of La Rioja, Logroño, Spain.
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain.
Front Psychiatry. 2020 Feb 11;10:967. doi: 10.3389/fpsyt.2019.00967. eCollection 2019.
The main goal of the present study was to analyze the network structure of schizotypy dimensions in a representative sample of adolescents from the general population. Moreover, the network structure between schizotypy, mental health difficulties, subjective well-being, bipolar-like experiences, suicide ideation and behavior, psychotic-like experiences, positive and negative affect, prosocial behavior, and IQ was analyzed.
The study was conducted in a sample of 1,506 students selected by stratified random cluster sampling. The Oviedo Schizotypy Assessment Questionnaire, the Personal Wellbeing Index-School Children, the Paykel Suicide Scale, the Mood Disorder Questionnaire, the Strengths and Difficulties Questionnaire, the Prodromal Questionnaire-Brief, the Positive and Negative Affect Schedule for Children Shortened Version, and the Matrix Reasoning Test were used.
The estimated schizotypy network was interconnected. The most central nodes in terms of standardized Expected Influence (EI) were 'unusual perceptual experiences' and 'paranoid ideation'. Predictability ranged from 8.7% ('physical anhedonia') to 52.7% ('unusual perceptual experiences'). The average predictability was 36.27%, implying that substantial variability remained unexplained. For the multidimensional psychosis liability network predictability values ranged from 9% (estimated IQ) to 74.90% ('psychotic-like experiences'). The average predictability was 43.46%. The results of the stability and accuracy analysis indicated that all networks were accurately estimated.
The present paper points to the value of conceptualizing psychosis liability as a dynamic complex system of interacting cognitive, emotional, behavioral, and affective characteristics. In addition, provide new insights into the nature of the relationships between schizotypy, as index of psychosis liability, and the role played by risk and protective factors.
本研究的主要目标是分析来自普通人群的青少年代表性样本中分裂型特质维度的网络结构。此外,还分析了分裂型特质、心理健康问题、主观幸福感、双相情感样体验、自杀意念和行为、类精神病体验、正负性情绪、亲社会行为以及智商之间的网络结构。
本研究对通过分层随机整群抽样选取的1506名学生样本进行。使用了奥维耶多分裂型特质评估问卷、儿童个人幸福指数、佩克尔自杀量表、心境障碍问卷、长处与困难问卷、前驱症状问卷简版、儿童正负性情绪量表简版以及矩阵推理测验。
估计的分裂型特质网络相互关联。就标准化预期影响(EI)而言,最核心的节点是“异常感知体验”和“偏执观念”。可预测性范围从8.7%(“躯体快感缺失”)到52.7%(“异常感知体验”)。平均可预测性为36.27%,这意味着仍有大量变异性无法解释。对于多维精神病易感性网络,可预测性值范围从9%(估计智商)到74.90%(“类精神病体验”)。平均可预测性为43.46%。稳定性和准确性分析结果表明所有网络均得到准确估计。
本文指出将精神病易感性概念化为一个由相互作用的认知、情感、行为和情绪特征组成的动态复杂系统的价值。此外,还为作为精神病易感性指标的分裂型特质与风险和保护因素所起作用之间关系的本质提供了新见解。