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Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors

Background: Although a surge of interest has recently emerged in investigating the simultaneous problematic use of various technology-based tools, the findings are still inconclusive. The present web-based survey aimed at examining whether (a) personality traits, coping strategies, and sociodemograp...

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Autores principales: Kalaitzaki, Argyroula, Laconi, Stéphanie, Tsouvelas, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hamadan University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422158/
https://www.ncbi.nlm.nih.gov/pubmed/37571933
http://dx.doi.org/10.34172/jrhs.2022.97
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author Kalaitzaki, Argyroula
Laconi, Stéphanie
Tsouvelas, George
author_facet Kalaitzaki, Argyroula
Laconi, Stéphanie
Tsouvelas, George
author_sort Kalaitzaki, Argyroula
collection PubMed
description Background: Although a surge of interest has recently emerged in investigating the simultaneous problematic use of various technology-based tools, the findings are still inconclusive. The present web-based survey aimed at examining whether (a) personality traits, coping strategies, and sociodemographics are associated with problematic internet, smartphone, and SMS use among Greek users and (b) personality traits mediate the relationship between maladaptive coping strategies and problematic use of the three media. Study Design: A cross-sectional study. Methods: A convenience and snowball sample of 1016 participants (84.4% female, mean age of 30.3 years) completed the Problematic Internet Use Questionnaire-9 (PIUQ-9), the Mobile Phone Problem Use Scale (MPPUS), the Self-Perception of Text Message Dependency Scale (STDS), the Personality Diagnostic Questionnaire 4+(PDQ-4+), and the Brief Coping Orientation to Problems Experienced Inventory (Brief COPE). Results: Shared predictors between problematic use of the three technology-based tools were younger age and low educational level, the coping strategy of substance use, and the narcissistic, avoidant, and dependent personality disorders. Predictors of problematic internet and smartphone use were coping strategies of emotional support, self-distraction, and behavioral disengagement. According to structural equation models (SEM) models, cluster C personality disorders fully mediate the relationship between maladaptive coping strategies and problematic use of technology-based tools. Conclusion: Addressing factors that predispose (i.e., personality traits), precipitate, or maintain problematic use (i.e., coping strategies) can lead to effective and cost-saving preventive (i.e., screening of vulnerable groups) and therapeutic efforts (i.e., teaching adaptive coping strategies).
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spelling pubmed-104221582023-08-13 Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors Kalaitzaki, Argyroula Laconi, Stéphanie Tsouvelas, George J Res Health Sci Original Article Background: Although a surge of interest has recently emerged in investigating the simultaneous problematic use of various technology-based tools, the findings are still inconclusive. The present web-based survey aimed at examining whether (a) personality traits, coping strategies, and sociodemographics are associated with problematic internet, smartphone, and SMS use among Greek users and (b) personality traits mediate the relationship between maladaptive coping strategies and problematic use of the three media. Study Design: A cross-sectional study. Methods: A convenience and snowball sample of 1016 participants (84.4% female, mean age of 30.3 years) completed the Problematic Internet Use Questionnaire-9 (PIUQ-9), the Mobile Phone Problem Use Scale (MPPUS), the Self-Perception of Text Message Dependency Scale (STDS), the Personality Diagnostic Questionnaire 4+(PDQ-4+), and the Brief Coping Orientation to Problems Experienced Inventory (Brief COPE). Results: Shared predictors between problematic use of the three technology-based tools were younger age and low educational level, the coping strategy of substance use, and the narcissistic, avoidant, and dependent personality disorders. Predictors of problematic internet and smartphone use were coping strategies of emotional support, self-distraction, and behavioral disengagement. According to structural equation models (SEM) models, cluster C personality disorders fully mediate the relationship between maladaptive coping strategies and problematic use of technology-based tools. Conclusion: Addressing factors that predispose (i.e., personality traits), precipitate, or maintain problematic use (i.e., coping strategies) can lead to effective and cost-saving preventive (i.e., screening of vulnerable groups) and therapeutic efforts (i.e., teaching adaptive coping strategies). Hamadan University of Medical Sciences 2022-12-29 /pmc/articles/PMC10422158/ /pubmed/37571933 http://dx.doi.org/10.34172/jrhs.2022.97 Text en © 2022 The Author(s); Published by Hamadan University of Medical Sciences. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kalaitzaki, Argyroula
Laconi, Stéphanie
Tsouvelas, George
Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title_full Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title_fullStr Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title_full_unstemmed Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title_short Problematic Internet, Smartphone, and SMS Use among Adults: Shared and Unique Predictors
title_sort problematic internet, smartphone, and sms use among adults: shared and unique predictors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422158/
https://www.ncbi.nlm.nih.gov/pubmed/37571933
http://dx.doi.org/10.34172/jrhs.2022.97
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