Waford Rachel N, MacDonald Allison, Goines Katrina, Novacek Derek M, Trotman Hanan D, Elaine F Walker, Addington Jean, Bearden Carrie E, Cadenhead Kristin S, Cannon Tyrone D, Cornblatt Barbara A, Heinssen Robert, Mathalon Daniel H, Tsuang Ming T, Perkins Diana O, Seidman Larry J, Woods Scott W, McGlashan Thomas H
Emory University, Atlanta, GA 30322, USA.
Emory University, Atlanta, GA 30322, USA.
Schizophr Res. 2015 Aug;166(1-3):31-6. doi: 10.1016/j.schres.2015.04.035. Epub 2015 May 18.
It is now well established that the utilization of standardized clinical criteria can enhance prediction of psychosis. These criteria are primarily concerned with the presence and severity of attenuated positive symptoms. Because these symptom criteria are used to derive algorithms for designating clinical high risk (CHR) status and for maximizing prediction of psychosis risk, it is important to know whether the symptom ratings vary as a function of demographic factors that have previously been linked with symptoms in diagnosed psychotic patients. Using a sample of 356 CHR individuals from the NAPLS-II multi-site study, we examined the relation of three sex, age, and educational level, with the severity of attenuated positive symptom scores from the Scale of Prodromal Symptoms (SOPS). Demographic factors accounted for little of the variance in symptom ratings (5-6%). Older CHR individuals manifested more severe suspiciousness, and female CHR participants reported more unusual perceptual experiences than male participants. Contrary to prediction, higher educational level was associated with more severe ratings of unusual thought content, but less severe perceptual abnormalities. Overall, sex, age and education were modestly related to unusual thought content and perceptual abnormalities, only, suggesting minimal implication for designating CHR status and predicting psychosis-risk.
现在已经充分证实，使用标准化临床标准可以提高对精神病的预测能力。这些标准主要关注亚临床阳性症状的存在和严重程度。由于这些症状标准用于推导指定临床高危（CHR）状态和最大化精神病风险预测的算法，因此了解症状评分是否会因先前与已确诊精神病患者的症状相关的人口统计学因素而有所不同非常重要。我们使用来自NAPLS-II多中心研究的356名CHR个体样本，研究了性别、年龄和教育水平这三个因素与前驱症状量表（SOPS）中亚临床阳性症状评分严重程度之间的关系。人口统计学因素在症状评分的方差中占比很小（5%-6%）。年龄较大的CHR个体表现出更严重的猜疑，并且女性CHR参与者报告的异常感知体验比男性参与者更多。与预测相反，较高的教育水平与更严重的异常思维内容评分相关，但感知异常评分较轻。总体而言，性别、年龄和教育仅与异常思维内容和感知异常存在适度关联，这表明它们对指定CHR状态和预测精神病风险的影响极小。
