Development and validation of a short Italian UPPS-P Impulsive Behavior Scale

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: author
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_0AA27ADDE1C1
Type
Article: article from journal or magazin.
Collection
Publications
Title
Development and validation of a short Italian UPPS-P Impulsive Behavior Scale
Journal
Addictive Behaviors Reports
Author(s)
D'Orta Isabella, Burnay Jonathan, Aiello Daniela, Niolu Cinzia, Siracusano Alberto, Timpanaro Lucia, Khazaal Yasser, Billieux Joël
ISSN
2352-8532
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
2
Pages
19-22
Language
english
Abstract
Impulsivity is a multidimensional construct that plays a prominent role in the development, maintenance, and
relapse of addictive disorders. The UPPS-P model of impulsivity, which distinguishes between five impulsivity
components (positive urgency, negative urgency, lack of perseverance, lack of premeditation, sensation seeking),
has been increasingly investigated during the last decade in relation to addictive and risky behaviors. Unfortunately, it currently lacks a validated scale that allows Italian researchers and clinicians to measure impulsivity
based on the UPPS-P model. The current study fills this gap by testing the psychometric properties of a short
20-item Italian scale used to assess the five dimensions of the UPPS-P model in 188 volunteer participants
from the community. Confirmatory factor analysis supported a model of five distinct, but interrelated, impulsivity
components. The results indicated good internal consistency (Cronbach's α ranges from .73 to .84). Construct
validity was evidenced by specific relations with measures of addictive behaviors and depressive symptoms.
On the whole, this study demonstrated that the Italian short UPPS-P has good psychometric properties
Keywords
Impulsivity, UPPS, Assessment
Pubmed
Open Access
Yes
Create date
10/01/2020 9:31
Last modification date
28/03/2022 5:39
Usage data