Dollfus Sonia, Mucci Armida, Giordano Giulia M, Bitter István, Austin Stephen F, Delouche Camille, Erfurth Andreas, Fleischhacker W Wolfgang, Movina Larisa, Glenthøj Birte, Gütter Karoline, Hofer Alex, Hubenak Jan, Kaiser Stefan, Libiger Jan, Melle Ingrid, Nielsen Mette Ø, Papsuev Oleg, Rybakowski Janusz K, Sachs Gabriele, Üçok Alp, Brando Francesco, Wojciak Pawel, Galderisi Silvana
Service de Psychiatrie, CHU de Caen, Caen, France.
UFR de Médecine, UNICAEN, Normandie Université, Caen, France.
Front Psychiatry. 2022 Jan 31;13:826465. doi: 10.3389/fpsyt.2022.826465. eCollection 2022.
Negative symptoms are usually evaluated with scales based on observer ratings and up to now self-assessments have been overlooked. The aim of this paper was to validate the Self-evaluation of Negative Symptoms (SNS) in a large European sample coming from 12 countries. We wanted to demonstrate: (1) good convergent and divergent validities; (2) relationships between SNS scores and patients' functional outcome; (3) the capacity of the SNS compared to the Brief Negative Symptom Scale (BNSS) to detect negative symptoms; and (4) a five-domain construct in relation to the 5 consensus domains (social withdrawal, anhedonia, alogia, avolition, blunted affect) as the best latent structure of SNS.
Two hundred forty-five subjects with a DSM-IV diagnosis of schizophrenia completed the SNS, the Positive and Negative Syndrome Scale (PANSS), the BNSS, the Calgary Depression Scale for Schizophrenia (CDSS), and the Personal and Social Performance (PSP) scale. Spearman's Rho correlations, confirmatory factor analysis investigating 4 models of the latent structure of SNS and stepwise multiple regression were performed.
Significant positive correlations were observed between the total score of the SNS and the total scores of the PANSS negative subscale ( = 0.37; < 0.0001) and the BNSS ( = 0.43; < 0.0001). SNS scores did not correlate with the level of insight, parkinsonism, or the total score of the PANSS positive subscale. A positive correlation was found between SNS and CDSS ( = 0.35; < 0.0001). Among the 5 SNS subscores, only avolition subscores entered the regression equation explaining a lower functional outcome. The 1-factor and 2-factor models provided poor fit, while the 5-factor model and the hierarchical model provided the best fit, with a small advantage of the 5-factor model. The frequency of each negative dimension was systematically higher using the BNSS and the SNS vs. the PANSS and was higher for alogia and avolition using SNS vs. BNSS.
In a large European multicentric sample, this study demonstrated that the SNS has: (1) good psychometric properties with good convergent and divergent validities; (2) a five-factor latent structure; (3) an association with patients' functional outcome; and (4) the capacity to identify subjects with negative symptoms that is close to the BNSS and superior to the PANSS negative subscale.
阴性症状通常通过基于观察者评分的量表进行评估,到目前为止,自我评估一直被忽视。本文的目的是在一个来自12个国家的大型欧洲样本中验证阴性症状自我评估量表(SNS)。我们想要证明:(1)良好的聚合效度和区分效度;(2)SNS评分与患者功能结局之间的关系;(3)与简明阴性症状量表(BNSS)相比,SNS检测阴性症状的能力;以及(4)与5个共识领域(社交退缩、快感缺乏、言语贫乏、意志缺乏、情感迟钝)相关的五领域结构作为SNS的最佳潜在结构。
245名符合DSM-IV精神分裂症诊断标准的受试者完成了SNS、阳性和阴性症状量表(PANSS)、BNSS、卡尔加里精神分裂症抑郁量表(CDSS)以及个人和社会功能量表(PSP)。进行了Spearman等级相关分析、探究SNS潜在结构4种模型的验证性因素分析以及逐步多元回归分析。
观察到SNS总分与PANSS阴性分量表总分(r = 0.37;P < 0.0001)和BNSS总分(r = 0.43;P < 0.0001)之间存在显著正相关。SNS评分与领悟水平、帕金森症或PANSS阳性分量表总分无关。发现SNS与CDSS之间存在正相关(r = 0.35;P < 0.0001)。在5个SNS子评分中,只有意志缺乏子评分进入了解释较低功能结局的回归方程。单因素模型和双因素模型拟合不佳,而五因素模型和层次模型拟合最佳,五因素模型略有优势。使用BNSS和SNS时,每个阴性维度的频率系统地高于使用PANSS时,并且使用SNS时言语贫乏和意志缺乏的频率高于使用BNSS时。
在一个大型欧洲多中心样本中,本研究表明SNS具有:(1)良好的心理测量学特性,具有良好的聚合效度和区分效度;(2)五因素潜在结构;(3)与患者功能结局相关;以及(4)识别阴性症状患者的能力,与BNSS相近且优于PANSS阴性分量表。