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Technology Use: Too Much of a Good Thing?
There is growing evidence of risks associated with excessive technology use, especially among teens and young adults. However, little is known about the characteristics of those who are at elevated risk of being problematic users. Using data from the 2012 Current Population Survey Internet Use Suppl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610009/ https://www.ncbi.nlm.nih.gov/pubmed/33169043 http://dx.doi.org/10.1007/s11293-020-09683-1 |
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author | Dwyer, Debra S. Kreier, Rachel Sanmartin, Maria X. |
author_facet | Dwyer, Debra S. Kreier, Rachel Sanmartin, Maria X. |
author_sort | Dwyer, Debra S. |
collection | PubMed |
description | There is growing evidence of risks associated with excessive technology use, especially among teens and young adults. However, little is known about the characteristics of those who are at elevated risk of being problematic users. Using data from the 2012 Current Population Survey Internet Use Supplement and Educational Supplement for teens and young adults, this study developed a conceptual framework for modeling technology use. A three-part categorization of use was posited for utilitarian, social and entertainment purposes, which fit observed data well in confirmatory factor analysis. Seemingly unrelated regression was used to examine the demographic characteristics associated with each of the three categories of use. Exploratory factor analysis uncovered five distinct types of users, including one user type that was hypothesized to likely be at elevated risk of problematic use. Regression results indicated that females in their twenties who are in school and have greater access to technology were most likely to fall into this higher-risk category. Young people who live with both parents were less likely to belong to this category. This study highlighted the importance of constructing models that facilitate identification of patterns of use that may characterize a subset of users at high risk of problematic use. The findings can be applied to other contexts to inform policies related to technology and society as well. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11293-020-09683-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7610009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76100092020-11-05 Technology Use: Too Much of a Good Thing? Dwyer, Debra S. Kreier, Rachel Sanmartin, Maria X. Atl Econ J Article There is growing evidence of risks associated with excessive technology use, especially among teens and young adults. However, little is known about the characteristics of those who are at elevated risk of being problematic users. Using data from the 2012 Current Population Survey Internet Use Supplement and Educational Supplement for teens and young adults, this study developed a conceptual framework for modeling technology use. A three-part categorization of use was posited for utilitarian, social and entertainment purposes, which fit observed data well in confirmatory factor analysis. Seemingly unrelated regression was used to examine the demographic characteristics associated with each of the three categories of use. Exploratory factor analysis uncovered five distinct types of users, including one user type that was hypothesized to likely be at elevated risk of problematic use. Regression results indicated that females in their twenties who are in school and have greater access to technology were most likely to fall into this higher-risk category. Young people who live with both parents were less likely to belong to this category. This study highlighted the importance of constructing models that facilitate identification of patterns of use that may characterize a subset of users at high risk of problematic use. The findings can be applied to other contexts to inform policies related to technology and society as well. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11293-020-09683-1) contains supplementary material, which is available to authorized users. Springer US 2020-11-04 2020 /pmc/articles/PMC7610009/ /pubmed/33169043 http://dx.doi.org/10.1007/s11293-020-09683-1 Text en © International Atlantic Economic Society 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Dwyer, Debra S. Kreier, Rachel Sanmartin, Maria X. Technology Use: Too Much of a Good Thing? |
title | Technology Use: Too Much of a Good Thing? |
title_full | Technology Use: Too Much of a Good Thing? |
title_fullStr | Technology Use: Too Much of a Good Thing? |
title_full_unstemmed | Technology Use: Too Much of a Good Thing? |
title_short | Technology Use: Too Much of a Good Thing? |
title_sort | technology use: too much of a good thing? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610009/ https://www.ncbi.nlm.nih.gov/pubmed/33169043 http://dx.doi.org/10.1007/s11293-020-09683-1 |
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