A new tool to assess the occurrence of personality traits: the Phenomenological Personality Factor questionnaire.

IF 1 4区 医学 Q4 PSYCHIATRY Rivista di psichiatria Pub Date : 2022-11-01 DOI:10.1708/3922.39075
Natascia De Lucia, Mauro Nelson Maldonato, Valeria Cioffi, Lucia Luciana Mosca, Elena Gigante, Nicole Nascivera, Enrico Moretto, Benedetta Muzii, Mario Bottone, Daniela Cantone, Raffaele Sperandeo
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Abstract

Background: Personality traits are patterns of thoughts, feelings and actions that are usually assessed by means of psychometric questionnaires. In the present study we described the Phenomenological Personality Factor (PPF), a short questionnaire assessing the personality traits, taking into account the different interpretative models of personality.

Methods: A sample of 554 healthy subjects (357 female; 197 males) aged 18-60 years were enrolled. Each participant was required to complete PPF, by indicating the presence/absence of the individual personality trait, and the Italian version of the Affective Neuroscience Personality Scale (ANPS).

Results: The principal component analysis showed that seven factors explained the 35.07% of the total variance. Moreover, the correlation analysis revealed that the PPF components were significantly and positively associated with the ANPS scales.

Conclusions: Our findings suggest that the PPF is a useful questionnaire to assess the personality traits, and the adaptive functioning, in healthy individuals.

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一种评估人格特质发生的新工具:现象学人格因素问卷。
背景:人格特征是思想、感觉和行为的模式,通常通过心理测量问卷来评估。在本研究中,我们描述了现象学人格因素(PPF),一个评估人格特征的简短问卷,考虑到不同的人格解释模型。方法:健康受试者554例(女性357例;197名男性,年龄18-60岁。每个参与者都被要求完成PPF,通过指出个人人格特征的存在/不存在,以及意大利版的情感神经科学人格量表(ANPS)。结果:主成分分析显示,7个因素解释了总方差的35.07%。此外,相关分析显示PPF成分与ANPS量表呈显著正相关。结论:我们的研究结果表明,PPF是一份评估健康个体人格特征和适应功能的有用问卷。
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来源期刊
Rivista di psichiatria
Rivista di psichiatria 医学-精神病学
CiteScore
5.00
自引率
3.70%
发文量
31
审稿时长
6-12 weeks
期刊介绍: Gli interessi della rivista riguardano l’approfondimento delle interazioni tra mente e malattia, la validazione e la discussione dei nuovi strumenti e parametri di classificazione diagnostica, la verifica delle prospettive terapeutiche farmacologiche e non.
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