The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones

BACKGROUND: The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. METHODS: In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2...

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Autores principales: Ghasempour, Abdollah, Mahmoodi-Aghdam, Mansour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences 2015
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741240/
https://www.ncbi.nlm.nih.gov/pubmed/26885356
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author Ghasempour, Abdollah
Mahmoodi-Aghdam, Mansour
author_facet Ghasempour, Abdollah
Mahmoodi-Aghdam, Mansour
author_sort Ghasempour, Abdollah
collection PubMed
description BACKGROUND: The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. METHODS: In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS). FINDINGS: Results of the stepwise multiple regression analysis showed that depression and avoidant attachment style were the best predictors of students’ cell phone addiction (R(2) = 0.23). CONCLUSION: The results of this study highlighted the predictive value of depression and avoidant attachment style concerning students’ cell phone addiction.
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spelling pubmed-47412402016-02-16 The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones Ghasempour, Abdollah Mahmoodi-Aghdam, Mansour Addict Health Short Communication BACKGROUND: The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. METHODS: In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS). FINDINGS: Results of the stepwise multiple regression analysis showed that depression and avoidant attachment style were the best predictors of students’ cell phone addiction (R(2) = 0.23). CONCLUSION: The results of this study highlighted the predictive value of depression and avoidant attachment style concerning students’ cell phone addiction. Kerman University of Medical Sciences 2015 /pmc/articles/PMC4741240/ /pubmed/26885356 Text en © 2015 Kerman University of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Short Communication
Ghasempour, Abdollah
Mahmoodi-Aghdam, Mansour
The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title_full The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title_fullStr The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title_full_unstemmed The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title_short The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
title_sort role of depression and attachment styles in predicting students’ addiction to cell phones
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741240/
https://www.ncbi.nlm.nih.gov/pubmed/26885356
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