Evidence map›Paper›PMID 38312683›Full record

ArticleHeliyon2024

Validation of a modified problematic use of mobile phones scale to examine problematic smartphone use and dependence.

Saqib Nawaz, Jahar Bhowmik, Tanya Linden, Matthew Mitchell

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Saqib NawazDepartment of Computing Technologies, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Australia.
Jahar BhowmikDepartment of Health Science and Biostatistics, School of Health Sciences, Swinburne University of Technology, Australia.
Tanya LindenSchool of Computing and IS, Faculty of Engineering and IT, The University of Melbourne, Australia.
Matthew MitchellDepartment of Computing Technologies, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, the world population has experienced rapid and widespread adoption of smartphones due to their usefulness and convenience. However, researchers have identified a range of adverse behaviours associated with the adoption of smartphones and their higher use. These behaviours are collectively described as Problematic Smartphone Use and Dependence (PSUD). Despite growing research, the underlying processes and drivers leading to these behaviours are inadequately understood. This can partly be attributed to the absence of developed statistical tools and measures that allow researchers to build a comprehensive conceptual understanding of PSUD. To address this issue, this study proposes and evaluates a validated extension to the Problematic Use of Mobile Phones (PUMP) scale. The extension of this tool incorporates factors associated with substance dependence outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), including additional items to measure PSUD accurately, referred to as the modified problematic use of mobile phones (MPUMP) scale. The newly developed tool was used in a cross-sectional online survey during September and October 2022, drawing on 1018 adult Australian participants. Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) were conducted to derive the underlying factors. The EFA revealed two distinct factors: Distraction and Dysregulation. Both factors exhibited high internal consistency, with Cronbach's Alpha coefficients of 0.92 and 0.86, respectively. A one-way analysis of variance (ANOVA) revealed significant variations inthe identified factors' mean scores across different socio-demographic characteristics. The study provides evidence that the MPUMP scale is a validated and reliable measure for accurately assessing PSUD. The study findings offer novel insights into the psychosocial and physical aspects of PSUD, providing a foundation for exploring the causes and potential interventions for PSUD.

Indexed as

DSMExcessive useModified scale validationProblematic smartphone usePUMPSmartphone addictionSmartphone dependence

Identifiers

PMID38312683
PMCPMC10835260

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.