The Italian version of the mobile phone problematic use scale for adults (MPPUS): A validation study

Agus, Mirian; Mascia, Maria Lidia; Bonfiglio, Natale Salvatore; Penna, Maria Pietronilla

doi:10.1016/j.heliyon.2022.e12209

Cited by 6 publications

(5 citation statements)

References 107 publications

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“…PSU is typically assessed with various scales, including the Mobile Phone Problem Use Scale (MPPUS; Bianchi & Phillips, 2005 ), the Problematic Mobile Phone Use Questionnaire (PMPUQ; Billieux, der Linden, & Rochat, 2008 ), the Smartphone Addiction Scale (SAS; Kwon, Lee, et al., 2013 ), the Short Version of Smartphone Addiction Scale (SAS-SV; Kwon, Kim, Cho, & Yang, 2013 ), the Smartphone Addiction Inventory (SPAI; Lin et al., 2014 ) and the Short-Form of Smartphone Addiction Inventory (SPAI-SF; Lin, Pan, Lin, & Chen, 2017 ), which measure factors like tolerance, withdrawal, overuse, loss of control and dangerous/prohibited use. While cross-cultural validation studies have shown satisfactory psychometric properties for these scales (e.g., Agus, Mascia, Bonfiglio, & Penna, 2022 ; Andrade et al., 2022 ; Khoury et al., 2017 ; Lopez-Fernandez, Honrubia-Serrano, Freixa-Blanxart, & Gibson, 2014 , 2018 ; Sfendla et al., 2018 ; Wang, Long, Liu, Liu, & Billieux, 2020 ; Zhao, Rafik-Galea, Fitriana, & Song, 2022 ), we would argue that there is room for improvement.…”

Section: Introductionmentioning

confidence: 76%

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ)

Su,

Cousijn,

Molenaar

et al. 2024

JBA

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Background and aimsProblematic smartphone use (PSU) has gained attention, but its definition remains debated. This study aimed to develop and validate a new scale measuring PSU-the Smartphone Use Problems Identification Questionnaire (SUPIQ).MethodsUsing two separate samples, a university community sample (N = 292) and a general population sample (N = 397), we investigated: (1) the construct validity of the SUPIQ through exploratory and confirmatory factor analyses; (2) the convergent validity of the SUPIQ with correlation analyses and the visualized partial correlation network analyses; (3) the psychometric equivalence of the SUPIQ across two samples through multigroup confirmatory factor analyses; (4) the explanatory power of the SUPIQ over the Short Version of Smartphone Addiction Scale (SAS-SV) with hierarchical multiple regressions.ResultsThe results showed that the SUPIQ included 26 items and 7 factors (i.e., Craving, Coping, Habitual Use, Social Conflicts, Risky Use, Withdrawal, and Tolerance), with good construct and convergent validity. The configural measurement invariance across samples was established. The SUPIQ also explained more variances in mental health problems than the SAS-SV.Discussion and conclusionsThe findings suggest that the SUPIQ shows promise as a tool for assessing PSU. Further research is needed to enhance and refine the SUPIQ as well as to investigate its clinical utility.

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Section: Introductionmentioning

confidence: 76%

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ)

Su,

Cousijn,

Molenaar

et al. 2024

JBA

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“…The problematic use of smartphones was evaluated by the administration of the Mobile Phone Problematic Use Scale (MPPUS) [8] in its Italian version [9]. This instrument (characterised by 24 items, assessed on a Likert scale ranging from 1 to 5) evaluated the following dimensions: Withdrawal and social aspects, Craving and escape from other problems and the General dimension of problematic use of smartphone.…”

Section: Mppusmentioning

confidence: 99%

“…Notably, while Bianchi and Phillips [8,9] found that extroversion and low self-esteem appear to be precursors to problematic smartphone use, many factors can contribute. For example, Busch and McCarthy's review [10] of 239 studies identified macro areas that can be considered antecedents of this phenomenon, such as control (understood as the ability to control impulses and self-regulate the use of the smartphone), health (both physical and mental), factors linked to the family context and the technological characteristics of the object itself.…”

Section: Introduction 1smartphone Use and Overusementioning

confidence: 99%

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)

Mascia

Agus

Tomczyk

et al. 2023

IJERPH

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This work aimed to validate the use of the Smartphone Distraction Scale (SDS) in Italy. The SDS was devised to assess distraction related to smartphone use in adult populations. A cross-sectional study was conducted among n = 609 adults (females = 76.4%; mean age = 30.26; SD age = 9.90). An assessment of the factorial structure of the Italian version was carried out using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The four factors identified by Throuvala and colleagues were confirmed (i.e., attention impulsiveness, online vigilance, multitasking and emotion regulation). Reliability was assessed using Cronbach’s alpha coefficient (0.703–0.889). The scale’s scores showed significant linear correlations with validated instruments, including the Mobile Phone Problematic Use Scale (MPPUS)and the Cognitive Failures Questionnaire (CFQ). A multivariate analysis of variance showed significant differences in the means among participants belonging to different age groups (born before 1995 vs. born after 1996). In summary, the good psychometric properties observed led us to assume that this instrument can be applied and used in Italian studies to assess the cognitive dimension of distraction related to the use of smartphones.

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“…In the literature, we can find many validations of this scale around the world. The Italian version of the scale [52] is composed of 24 items divided in two subscales covering the issues of tolerance, escape from other problems and craving and withdrawal and negative life consequence in the areas of social, familial, work and financial difficulties. All items are measured on a scale ranging from "not true at all" (1) to "extremely true" (5).…”

Section: Mppusmentioning

confidence: 99%

Impact of Coding Educational Programs (CEP) on Digital Media Problematic Use (DMPU) and on Its Relationship with Psychological Dependence and Emotional Dysregulation

Marconi¹,

Scognamiglio²,

Marchiori³

et al. 2023

IJERPH

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Alongside the positive effects linked to the introduction of digital technologies into our lives, particular dysfunctional behaviors in the use of digital tools have appeared, through which the expression of conditions such as addiction, difficulties in affective and behavioral self-regulation and mental health problems have been channeled. The present study aims to investigate, in a sample of young students aged m = 12.91 (ds = 0.56) years, whether Coding Educational Programs (CEP), deployed to 44.9% of the sample, is effective in psychological dependence, emotional self-regulation and Digital Media Problematic Use (DMPU), as self-assessed through questionnaires (DERS, DSRS, IAT, MPIQ and MPPUS). CEP had no effect on emotional dysregulation or on DMPU. They were effective in the time management of mobile phone use, with students rescheduling from daytime use on working days to daytime use on the weekend. Moreover, people who attended CEP more frequently used smartphones for orienting themselves and for obtaining information. In conclusion, CEP are effective in achieving a more functional and important use of smartphones and better time management. It is possible that CEP effect on metacognition could reduce DMPU if alternative ways to regulate emotions are available.

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The Italian version of the mobile phone problematic use scale for adults (MPPUS): A validation study

Cited by 6 publications

References 107 publications

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ)

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ)

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)

Impact of Coding Educational Programs (CEP) on Digital Media Problematic Use (DMPU) and on Its Relationship with Psychological Dependence and Emotional Dysregulation

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