Classifying risk status of non-clinical adolescents using psychometric indicators for psychosis spectrum disorders
Classifying risk status of non-clinical adolescents using psychometric indicators for psychosis spectrum disorders
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DOI：
10.1016/j.psychres.2016.06.049
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发表时间：
2016-09-30
影响因子：
11.3
通讯作者：
Muniz, Jose
中科院分区：
文献类型：
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作者：
Fonseca-Pedrero, Eduardo;Gooding, Diane C.;Muniz, Jose
这项研究试图使用潜在概况分析来评估现有的心理测量学指标，以根据一组被认为是精神病谱系障碍风险标记物的临床、行为和人格特征对社区派生的个人进行分类。本研究以449名12~19岁高中生为被试，采用前驱问卷(PQ-B)、Oviedo分裂类型评定问卷(ESQUIZO-Q)、预期和损害性人际快乐量表(青少年版)和一般健康问卷12(GHQ-12)进行风险评估。用潜伏期分析方法确定了6个潜在类别(LC)：第一类(LC1)几乎没有症状，占样本的38.53%；第二类(LC2)，占28.06%，尽管主观痛苦程度较高，但在大多数测量中也表现出较低的平均分；LC3，阳性分裂型组(10.24%)；LC4(13.36%)，精神病高危组；LC5，高度阳性和负性分裂型组(4.45%)；LC6为极高苦恼、重度临床高危人群，占样本的5.34%。目前的研究表明，可以使用精神病谱系障碍的心理测量学指标，在青少年社区样本中经验地定义不同潜在的早期风险个人类别。这些发现可能对精神病谱系障碍的早期发现和预防策略有所启示。(C)2016爱思唯尔爱尔兰有限公司。保留所有权利。
This study is an attempt to evaluate extant psychometric indicators using latent profile analysis for classifying community-derived individuals based on a set of clinical, behavioural, and personality traits considered risk markers for psychosis spectrum disorders. The present investigation included four hundred and forty-nine high-school students between the ages of 12 and 19. We used the following to assess risk: the Prodromal Questionnaire-Brief (PQ-B), Oviedo Schizotypy Assessment Questionnaire (ESQUIZO-Q), Anticipatory and Consummatory Interpersonal Pleasure Scale-Adolescent version (ACIPS-A), and General Health Questionnaire 12 (GHQ-12). Using Latent profile analysis six latent classes (LC) were identified: participants in class 1 (LC1) displayed little or no symptoms and accounted for 38.53% of the sample; class 2 (LC2), who accounted for 28.06%, also produced low mean scores across most measures though they expressed somewhat higher levels of subjective distress; LC3, a positive schizotypy group (10.24%); LC4 (13.36%), a psychosis high-risk group; LC5, a high positive and negative schizotypy group (4.45%); and LC6, a very high distress, severe clinical high-risk group, comprised 5.34% of the sample. The current research indicates that different latent classes of early individuals at risk can be empirically defined in adolescent community samples using psychometric indicators for psychosis spectrum disorders. These findings may have implications for early detection and prevention strategies in psychosis spectrum disorders. (C) 2016 Elsevier Ireland Ltd. All rights reserved.