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Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic

Excessive online behaviors refer to harmful or disproportionate use of digital network applications. Such behaviors are likely to be associated with escapist motives. Our aim was to analyze whether escapism predicts excessive gambling, excessive gaming, and excessive internet use over time. A longit...

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Detalles Bibliográficos
Autores principales: Jouhki, Hannu, Savolainen, Iina, Sirola, Anu, Oksanen, Atte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565969/
https://www.ncbi.nlm.nih.gov/pubmed/36231799
http://dx.doi.org/10.3390/ijerph191912491
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author Jouhki, Hannu
Savolainen, Iina
Sirola, Anu
Oksanen, Atte
author_facet Jouhki, Hannu
Savolainen, Iina
Sirola, Anu
Oksanen, Atte
author_sort Jouhki, Hannu
collection PubMed
description Excessive online behaviors refer to harmful or disproportionate use of digital network applications. Such behaviors are likely to be associated with escapist motives. Our aim was to analyze whether escapism predicts excessive gambling, excessive gaming, and excessive internet use over time. A longitudinal sample of Finnish residents aged 18–75 years (n = 1022, 51.27% male) was surveyed at three time points during the COVID-19 pandemic in 6-month intervals: April 2021 (Time 1), October–November 2021 (Time 2), and April–May 2022 (Time 3). Of the original Time 1 respondents, 66.80% took part in the surveys at both Time 2 and Time 3. All surveys included measures for excessive gambling (Problem Gambling Severity Index), excessive gaming (Internet Gaming Disorder Test), and excessive internet use (Compulsive Internet Use Scale). Three escapism-specific questions were used to construct a dedicated escapism variable. Socio-demographic variables, alcohol consumption, and psychological distress were used as controls. The study was conducted with multilevel regression analyses using hybrid models. Our research showed that escapism had strong within-person effects on excessive gambling, B = 0.18, p = 0.003; excessive gaming, B = 0.50, p < 0.001; and excessive internet use, B = 0.77, p < 0.001 over time. The between-person effect of escapism was demonstrated on excessive gaming B = 0.91, p < 0.001, and excessive internet use B = 0.61, p = 0.036. Adverse societal events and uncertain times can manifest in excessive online behaviors motivated by escapism, highlighting a need to focus prevention efforts on healthy coping methods.
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spelling pubmed-95659692022-10-15 Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic Jouhki, Hannu Savolainen, Iina Sirola, Anu Oksanen, Atte Int J Environ Res Public Health Article Excessive online behaviors refer to harmful or disproportionate use of digital network applications. Such behaviors are likely to be associated with escapist motives. Our aim was to analyze whether escapism predicts excessive gambling, excessive gaming, and excessive internet use over time. A longitudinal sample of Finnish residents aged 18–75 years (n = 1022, 51.27% male) was surveyed at three time points during the COVID-19 pandemic in 6-month intervals: April 2021 (Time 1), October–November 2021 (Time 2), and April–May 2022 (Time 3). Of the original Time 1 respondents, 66.80% took part in the surveys at both Time 2 and Time 3. All surveys included measures for excessive gambling (Problem Gambling Severity Index), excessive gaming (Internet Gaming Disorder Test), and excessive internet use (Compulsive Internet Use Scale). Three escapism-specific questions were used to construct a dedicated escapism variable. Socio-demographic variables, alcohol consumption, and psychological distress were used as controls. The study was conducted with multilevel regression analyses using hybrid models. Our research showed that escapism had strong within-person effects on excessive gambling, B = 0.18, p = 0.003; excessive gaming, B = 0.50, p < 0.001; and excessive internet use, B = 0.77, p < 0.001 over time. The between-person effect of escapism was demonstrated on excessive gaming B = 0.91, p < 0.001, and excessive internet use B = 0.61, p = 0.036. Adverse societal events and uncertain times can manifest in excessive online behaviors motivated by escapism, highlighting a need to focus prevention efforts on healthy coping methods. MDPI 2022-09-30 /pmc/articles/PMC9565969/ /pubmed/36231799 http://dx.doi.org/10.3390/ijerph191912491 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jouhki, Hannu
Savolainen, Iina
Sirola, Anu
Oksanen, Atte
Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title_full Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title_fullStr Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title_full_unstemmed Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title_short Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic
title_sort escapism and excessive online behaviors: a three-wave longitudinal study in finland during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565969/
https://www.ncbi.nlm.nih.gov/pubmed/36231799
http://dx.doi.org/10.3390/ijerph191912491
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