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Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews

BACKGROUND AND AIMS: Smartphone use has increased markedly over the past decade and recent research has demonstrated that a small minority of users experience problematic consequences, which in extreme cases have been contextualized as an addiction. To date, most research have been quantitative and...

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Autores principales: Jameel, Sayma, Shahnawaz, Mohammad Ghazi, Griffiths, Mark D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044586/
https://www.ncbi.nlm.nih.gov/pubmed/31619046
http://dx.doi.org/10.1556/2006.8.2019.57
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author Jameel, Sayma
Shahnawaz, Mohammad Ghazi
Griffiths, Mark D.
author_facet Jameel, Sayma
Shahnawaz, Mohammad Ghazi
Griffiths, Mark D.
author_sort Jameel, Sayma
collection PubMed
description BACKGROUND AND AIMS: Smartphone use has increased markedly over the past decade and recent research has demonstrated that a small minority of users experience problematic consequences, which in extreme cases have been contextualized as an addiction. To date, most research have been quantitative and survey-based. This study qualitatively examined the components model of addiction for both “addicted” and “non-addicted” users. METHODS: A screening tool comprising 10 dichotomous items was administered to 40 college students. Of these, six addicted and six non-addicted participants were identified on the basis of their score on the screening tool and were asked to participate in a semi-structured interview. The interview questions were based on the components model of addiction comprising six domains (i.e., salience, withdrawal, conflict, relapse and reinstatement, tolerance, and mood modification). Directed content analysis was used to analyze the transcribed data and subthemes as well as emerging themes for the study as a whole were established. RESULTS: There was some evidence of demarcation between smartphone addicts on the dimensions of salience, tolerance, withdrawal, and conflict. Mood modification was not much different in either group, and no participant reported relapse. CONCLUSIONS: The non-addicted group had much greater control over their smartphone usage than the addicted group on four (of six) aforementioned dimensions of behavioral addiction. Consequently, the main findings of this study provided good support for the components model of behavioral addiction.
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spelling pubmed-70445862020-03-06 Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews Jameel, Sayma Shahnawaz, Mohammad Ghazi Griffiths, Mark D. J Behav Addict Full-Length Report BACKGROUND AND AIMS: Smartphone use has increased markedly over the past decade and recent research has demonstrated that a small minority of users experience problematic consequences, which in extreme cases have been contextualized as an addiction. To date, most research have been quantitative and survey-based. This study qualitatively examined the components model of addiction for both “addicted” and “non-addicted” users. METHODS: A screening tool comprising 10 dichotomous items was administered to 40 college students. Of these, six addicted and six non-addicted participants were identified on the basis of their score on the screening tool and were asked to participate in a semi-structured interview. The interview questions were based on the components model of addiction comprising six domains (i.e., salience, withdrawal, conflict, relapse and reinstatement, tolerance, and mood modification). Directed content analysis was used to analyze the transcribed data and subthemes as well as emerging themes for the study as a whole were established. RESULTS: There was some evidence of demarcation between smartphone addicts on the dimensions of salience, tolerance, withdrawal, and conflict. Mood modification was not much different in either group, and no participant reported relapse. CONCLUSIONS: The non-addicted group had much greater control over their smartphone usage than the addicted group on four (of six) aforementioned dimensions of behavioral addiction. Consequently, the main findings of this study provided good support for the components model of behavioral addiction. Akadémiai Kiadó 2019-10-17 2019-12 /pmc/articles/PMC7044586/ /pubmed/31619046 http://dx.doi.org/10.1556/2006.8.2019.57 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.
spellingShingle Full-Length Report
Jameel, Sayma
Shahnawaz, Mohammad Ghazi
Griffiths, Mark D.
Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title_full Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title_fullStr Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title_full_unstemmed Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title_short Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
title_sort smartphone addiction in students: a qualitative examination of the components model of addiction using face-to-face interviews
topic Full-Length Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044586/
https://www.ncbi.nlm.nih.gov/pubmed/31619046
http://dx.doi.org/10.1556/2006.8.2019.57
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