Measuring smartphone dependency and exploration of consequences and comorbidities

“Nomophobia” is the fear of not being able to use your smartphone and has been noted to be associated with excessive levels of smartphone dependency. For many, these devices have become an extension of ourselves, which raises hesitation on whether or not society has become addicted to smartphones. S...

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Autores principales: Sarah Fryman, William Romine
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/92a35da937234d6d8b35872f7be74eac
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spelling oai:doaj.org-article:92a35da937234d6d8b35872f7be74eac2021-12-01T05:04:14ZMeasuring smartphone dependency and exploration of consequences and comorbidities2451-958810.1016/j.chbr.2021.100108https://doaj.org/article/92a35da937234d6d8b35872f7be74eac2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2451958821000567https://doaj.org/toc/2451-9588“Nomophobia” is the fear of not being able to use your smartphone and has been noted to be associated with excessive levels of smartphone dependency. For many, these devices have become an extension of ourselves, which raises hesitation on whether or not society has become addicted to smartphones. Specific diagnostic criteria for smartphone addiction have yet to be settled, and even use of the word “addiction” when describing excessive usage of smartphones is controversial. We therefore utilize current measures to explore the symptoms of smartphone dependency and their hierarchy, as well as comorbidities including social anxiety, self-esteem, and distracted driving. A total of 159 adults from a research-intensive university in the Midwestern United States completed an anonymous online survey. Through factor analytic and Rasch modeling methods, it was found that based on a single measure for one's level of nomophobia, the degree to which smartphone use interferes with daily life can be qualified. The relationship between nomophobia and social anxiety supports the hypothesis that smartphone addiction can be magnified by personality traits and other psychiatric comorbidities. Both multiple linear regression and binary logistic regression analyses found that phone usage while driving and being female were found to be significant positive predictors of smartphone dependency. It is apparent that technology addiction and smartphone addiction need to be studied among a greater population, especially among women and those who use their smartphones while driving.Sarah FrymanWilliam RomineElsevierarticleSmartphonesSmartphone addictionSmartphone dependencyTechnology addictionSocial anxietySelf-esteemElectronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 4, Iss , Pp 100108- (2021)
institution DOAJ
collection DOAJ
language EN
topic Smartphones
Smartphone addiction
Smartphone dependency
Technology addiction
Social anxiety
Self-esteem
Electronic computers. Computer science
QA75.5-76.95
Psychology
BF1-990
spellingShingle Smartphones
Smartphone addiction
Smartphone dependency
Technology addiction
Social anxiety
Self-esteem
Electronic computers. Computer science
QA75.5-76.95
Psychology
BF1-990
Sarah Fryman
William Romine
Measuring smartphone dependency and exploration of consequences and comorbidities
description “Nomophobia” is the fear of not being able to use your smartphone and has been noted to be associated with excessive levels of smartphone dependency. For many, these devices have become an extension of ourselves, which raises hesitation on whether or not society has become addicted to smartphones. Specific diagnostic criteria for smartphone addiction have yet to be settled, and even use of the word “addiction” when describing excessive usage of smartphones is controversial. We therefore utilize current measures to explore the symptoms of smartphone dependency and their hierarchy, as well as comorbidities including social anxiety, self-esteem, and distracted driving. A total of 159 adults from a research-intensive university in the Midwestern United States completed an anonymous online survey. Through factor analytic and Rasch modeling methods, it was found that based on a single measure for one's level of nomophobia, the degree to which smartphone use interferes with daily life can be qualified. The relationship between nomophobia and social anxiety supports the hypothesis that smartphone addiction can be magnified by personality traits and other psychiatric comorbidities. Both multiple linear regression and binary logistic regression analyses found that phone usage while driving and being female were found to be significant positive predictors of smartphone dependency. It is apparent that technology addiction and smartphone addiction need to be studied among a greater population, especially among women and those who use their smartphones while driving.
format article
author Sarah Fryman
William Romine
author_facet Sarah Fryman
William Romine
author_sort Sarah Fryman
title Measuring smartphone dependency and exploration of consequences and comorbidities
title_short Measuring smartphone dependency and exploration of consequences and comorbidities
title_full Measuring smartphone dependency and exploration of consequences and comorbidities
title_fullStr Measuring smartphone dependency and exploration of consequences and comorbidities
title_full_unstemmed Measuring smartphone dependency and exploration of consequences and comorbidities
title_sort measuring smartphone dependency and exploration of consequences and comorbidities
publisher Elsevier
publishDate 2021
url https://doaj.org/article/92a35da937234d6d8b35872f7be74eac
work_keys_str_mv AT sarahfryman measuringsmartphonedependencyandexplorationofconsequencesandcomorbidities
AT williamromine measuringsmartphonedependencyandexplorationofconsequencesandcomorbidities
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