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Facebook Addiction: Onset Predictors
Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, resea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025609/ https://www.ncbi.nlm.nih.gov/pubmed/29882872 http://dx.doi.org/10.3390/jcm7060118 |
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author | Biolcati, Roberta Mancini, Giacomo Pupi, Virginia Mugheddu, Valeria |
author_facet | Biolcati, Roberta Mancini, Giacomo Pupi, Virginia Mugheddu, Valeria |
author_sort | Biolcati, Roberta |
collection | PubMed |
description | Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed. |
format | Online Article Text |
id | pubmed-6025609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60256092018-07-09 Facebook Addiction: Onset Predictors Biolcati, Roberta Mancini, Giacomo Pupi, Virginia Mugheddu, Valeria J Clin Med Article Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed. MDPI 2018-05-23 /pmc/articles/PMC6025609/ /pubmed/29882872 http://dx.doi.org/10.3390/jcm7060118 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Biolcati, Roberta Mancini, Giacomo Pupi, Virginia Mugheddu, Valeria Facebook Addiction: Onset Predictors |
title | Facebook Addiction: Onset Predictors |
title_full | Facebook Addiction: Onset Predictors |
title_fullStr | Facebook Addiction: Onset Predictors |
title_full_unstemmed | Facebook Addiction: Onset Predictors |
title_short | Facebook Addiction: Onset Predictors |
title_sort | facebook addiction: onset predictors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025609/ https://www.ncbi.nlm.nih.gov/pubmed/29882872 http://dx.doi.org/10.3390/jcm7060118 |
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