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A life course framework for understanding digital technology use in the transition to adulthood()
Rapid increases in young people’s time spent using digital technology (“screen time”) in the mobile internet era have led to anxiety about long-term effects. This mixed-method US study examines childhood experiences and contextual factors that shape screen time in the transition to adulthood. We rec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574782/ https://www.ncbi.nlm.nih.gov/pubmed/36695150 http://dx.doi.org/10.1016/j.alcr.2020.100379 |
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author | Mollborn, Stefanie Fomby, Paula Goode, Joshua A. Modile, Adenife |
author_facet | Mollborn, Stefanie Fomby, Paula Goode, Joshua A. Modile, Adenife |
author_sort | Mollborn, Stefanie |
collection | PubMed |
description | Rapid increases in young people’s time spent using digital technology (“screen time”) in the mobile internet era have led to anxiety about long-term effects. This mixed-method US study examines childhood experiences and contextual factors that shape screen time in the transition to adulthood. We recursively analyzed 56 qualitative interviews with young adults in a large metropolitan area in 2016–2018 and prospective longitudinal nationally representative survey data (PSID-CDS-2007 and PSID-TAS-2017) to articulate a conceptual framework of life course influences on young adults’ time spent using digital technologies. Inductive qualitative analyses built an initial framework, which was assessed with quantitative data, then further refined with qualitative analyses. Young adults drew on life course perspectives when discussing influences on their current digital technology use. As they suggested, in quantitative analyses more frequent adolescent technology use and greater device access weakly predicted increased technology frequency. Current school enrollment and several current peer factors predicted technology time. Interviewees emphasized the influence of parenting around technology use during adolescence, but parenting did not predict young adult screen time in quantitative analyses. Further qualitative analyses suggested that instead of influencing current technology time, earlier parenting shaped current emotional responses and imagined future technology use. We found young adults’ technology use frequency to be informed by earlier experiences but highly malleable. Past technology use and current social contexts matter, but only up to a point. Moving beyond time use to incorporate emotional responses and future plans can better capture how the life course shapes technology use. |
format | Online Article Text |
id | pubmed-7574782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75747822020-10-21 A life course framework for understanding digital technology use in the transition to adulthood() Mollborn, Stefanie Fomby, Paula Goode, Joshua A. Modile, Adenife Current Perspectives on Aging and the Life Cycle Article Rapid increases in young people’s time spent using digital technology (“screen time”) in the mobile internet era have led to anxiety about long-term effects. This mixed-method US study examines childhood experiences and contextual factors that shape screen time in the transition to adulthood. We recursively analyzed 56 qualitative interviews with young adults in a large metropolitan area in 2016–2018 and prospective longitudinal nationally representative survey data (PSID-CDS-2007 and PSID-TAS-2017) to articulate a conceptual framework of life course influences on young adults’ time spent using digital technologies. Inductive qualitative analyses built an initial framework, which was assessed with quantitative data, then further refined with qualitative analyses. Young adults drew on life course perspectives when discussing influences on their current digital technology use. As they suggested, in quantitative analyses more frequent adolescent technology use and greater device access weakly predicted increased technology frequency. Current school enrollment and several current peer factors predicted technology time. Interviewees emphasized the influence of parenting around technology use during adolescence, but parenting did not predict young adult screen time in quantitative analyses. Further qualitative analyses suggested that instead of influencing current technology time, earlier parenting shaped current emotional responses and imagined future technology use. We found young adults’ technology use frequency to be informed by earlier experiences but highly malleable. Past technology use and current social contexts matter, but only up to a point. Moving beyond time use to incorporate emotional responses and future plans can better capture how the life course shapes technology use. Elsevier Ltd. 2021-03 2020-10-20 /pmc/articles/PMC7574782/ /pubmed/36695150 http://dx.doi.org/10.1016/j.alcr.2020.100379 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mollborn, Stefanie Fomby, Paula Goode, Joshua A. Modile, Adenife A life course framework for understanding digital technology use in the transition to adulthood() |
title | A life course framework for understanding digital technology use in the transition to adulthood() |
title_full | A life course framework for understanding digital technology use in the transition to adulthood() |
title_fullStr | A life course framework for understanding digital technology use in the transition to adulthood() |
title_full_unstemmed | A life course framework for understanding digital technology use in the transition to adulthood() |
title_short | A life course framework for understanding digital technology use in the transition to adulthood() |
title_sort | life course framework for understanding digital technology use in the transition to adulthood() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574782/ https://www.ncbi.nlm.nih.gov/pubmed/36695150 http://dx.doi.org/10.1016/j.alcr.2020.100379 |
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