Combaluzier S, Gouvernet B, Auvage L, Bourgoise C, Murphy P
Équipe vulnérabilité, centre de Recherches sur les Fonctionnements et Dysfonctionnements Psychologiques (EA 7475), université de Rouen-Normandie, Mont-Saint-Aignan, France.
Équipe vulnérabilité, centre de Recherches sur les Fonctionnements et Dysfonctionnements Psychologiques (EA 7475), université de Rouen-Normandie, Mont-Saint-Aignan, France.
Encephale. 2023 Oct;49(5):496-503. doi: 10.1016/j.encep.2022.03.012. Epub 2022 Aug 13.
The aim of this work was to study whether the French versions of the brief tools available to clinicians within the framework of the Alternative Model of Personality Disorders (AMPD) can account for the risks of personality disorders in the general population. Tools are available to accurately investigate either the Level of Personality Functioning (LPF) or the Pathological Personality Dimensions (PPD) which in turn allow the validation of the relevance of the AMPD for its criteria A and B. As these tools, such as Morey's Level of Personality Functioning Scale Self Rated (LPFS-SR) for Criteria A or the Personality Inventory for DSM-5 (PID5) by Krueger et al. for Criteria B, are lengthy, the question arises as to the use of the short tools derived from them.
Data was collected from a sample of 433 people recruited on a volunteer basis with a complete protocol. The sample was predominantly female (83% female, 16% male, 2 people who did not wish to report their gender) and rather young (67% were 18-24 years old). The short version, the LPFS- BF of Hutsbaut et al., which we used in this work allows, as confirmed by several works, to consider on the basis of 12 items the global level of personality functioning. In order to assess the pathological dimensions of personality (PPD), we chose the short version of the Personality Inventory for DSM 5 (PID 5 BF) by Krueger et al. and used its validated French translation that satisfies the factor composition of the original version: Negative Affectivity, Antagonism, Detachment, Disinhibition and Psychoticism. To assess the intensity of personality disorders we used the dedicated subscale (Items 19 and 20) that the DSM 5 proposes in its Cross-Cutting Symptoms Measures of Level 1, in its French translation. A score higher than 2 was our Gold Standard when we tested the metric capacity of the two questionnaires to evaluate the A Criteria and then the B Criteria of the AMPD.
The overall results (Table 1) show levels that place the group in a non-clinical level. In terms of the severity of personality disorders it can be seen that 27 % are at risk of personality disorder (PDs>2). Comparing these two sub-groups (Table 1), we observed significant differences for all the factors studied, pointing towards a higher score for people at risk of PDs. A logistic regression analysis of the evaluation of persons at risk lead us to find that gender and age do not have a significant influence (p=0.225 and p=0.065 respectively) in a valid model (chi square=157, df=4, p<0.001) including the overall score on the LPFS (z=5.76, p<0.001) and the PID 5 (z=2.26, p<0.001). The Area Under the Curve (AUC=0.859) of this translation (Table 3) is consistent with the original version (AUC=0.84). It has metrological qualities (Sn=73.91%, Sp=85.33%, LR+=5.1, LR-=0.3005) that allowed us to use a threshold of 24 as a discriminant of a risk of moderate or severe personality disorder. In addition, if we followed the AMPD and considered the threshold of 24 on the LFPS-BF to be a risk score for personality disorder, we could see (Fig. 2) that the scores on the PID 5 BF fairly well reflected the expected pattern with a large AUC (0.901). According to the AMPD, the cut-points for the dimensions that would evoke the presence of criteria B in the case of the presence of criterion A (LPFS-BF>24) could be either a score greater than 2 for Negative Affectivity, a score greater than 0.8 for Detachment, Antagonism and Disinhibition, or a score greater than 1.2 for Psychoticism (Table 4).
The translation of the LPFS-BF that we used in this work has sufficient qualities to assess situations at risk of personality disorders when higher than 24. Its consistency was good (=0.84), and its factor composition in two factors (Self and Interpersonal Relations) was equivalent to the original version. The use of PID5-BF could therefore be used as a complement to the screening of AMPD A criteria, with a 25 for cut-point. The evaluation of the AMPD B criteria with the PID5-BF seemed relevant in view of our results; each of the subscales seemed to be able to correctly evaluate (AUC) persons with an LPFS-BF score at risk. However, the risk thresholds need to be confirmed in further work because of the essential role that the dimensions play in the diagnosis of types of personality disorders.
本研究旨在探讨在人格障碍替代模型(AMPD)框架内,临床医生可用的简短工具的法语版本是否能够评估普通人群中人格障碍的风险。现有工具可准确调查人格功能水平(LPF)或病理性人格维度(PPD),进而验证AMPD在其A和B标准方面的相关性。由于这些工具,如用于A标准的莫雷人格功能水平自评量表(LPFS-SR)或克鲁格等人用于B标准的DSM-5人格问卷(PID5)篇幅较长,因此产生了对其衍生的简短工具的使用问题。
从433名自愿招募的人员中收集数据,采用完整的方案。样本以女性为主(83%为女性,16%为男性,2人不愿透露性别),且较为年轻(67%为18 - 24岁)。我们在本研究中使用的Hutsbaut等人的简短版本LPFS - BF,经多项研究证实,基于12个项目可考量人格功能的整体水平。为评估人格的病理性维度(PPD),我们选择了克鲁格等人的DSM 5人格问卷简短版本(PID 5 BF),并使用其经过验证的法语翻译版本,该版本满足原始版本的因子构成:消极情感性、敌对性、疏离性、放纵性和精神病性。为评估人格障碍的强度,我们使用了DSM 5在其一级交叉症状测量中提出的专用子量表(第19和20项)的法语翻译版本。当我们测试这两份问卷评估AMPD的A标准和B标准的测量能力时,得分高于2分为我们的金标准。
总体结果(表1)显示该组处于非临床水平。就人格障碍的严重程度而言,可以看出27%的人有患人格障碍的风险(PDs>2)。比较这两个亚组(表1),我们观察到所有研究因素均存在显著差异,表明有患人格障碍风险的人的得分更高。对有风险人员评估的逻辑回归分析使我们发现在一个有效模型(卡方=157,自由度=4,p<0.001)中,性别和年龄没有显著影响(分别为p = 0.225和p = 0.065),该模型包括LPFS的总分(z = 5.76,p<0.001)和PID 5(z = 2.26,p<0.001)。该翻译版本的曲线下面积(AUC = 0.859)(表3)与原始版本(AUC = 0.84)一致。它具有计量学特性(敏感度=73.91%,特异度=85.33%,阳性似然比=5.1,阴性似然比=0.3005),这使我们能够将24作为中度或重度人格障碍风险的判别阈值。此外,如果我们遵循AMPD并将LFPS - BF上的24阈值视为患人格障碍的风险评分,我们可以看到(图2)PID 5 BF上的得分相当好地反映了预期模式,AUC较大(0.901)。根据AMPD,如果存在标准A(LPFS - BF>24),引发标准B存在的维度的切点可以是消极情感性得分大于2,疏离性、敌对性和放纵性得分大于0.8,或精神病性得分大于1.2(表4)。
我们在本研究中使用的LPFS - BF翻译版本具有足够的特性,可用于评估高于24分时患人格障碍的风险情况。其一致性良好(=0.84),且其二因素(自我和人际关系)的因子构成与原始版本相当。因此,使用PID5 - BF可作为筛查AMPD A标准的补充,切点为25。鉴于我们的结果,用PID5 - BF评估AMPD B标准似乎是相关的;每个子量表似乎都能够正确评估(AUC)LPFS - BF得分有风险的人员。然而,由于这些维度在人格障碍类型诊断中起关键作用,风险阈值需要在进一步研究中得到确认。