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Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study
We examined multidimensional factors within four systems (individual, family, school, and community) that influence internet addiction across time among children through adolescence in Taiwan. We hypothesize that internet addiction increases from childhood to adolescence and that resilience, child n...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296065/ https://www.ncbi.nlm.nih.gov/pubmed/34207812 http://dx.doi.org/10.3390/ijerph18126253 |
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author | Hsieh, Yi-Ping Hwa, Hsiao-Lin Shen, April Chiung-Tao Wei, Hsi-Sheng Feng, Jui-Ying Huang, Ching-Yu |
author_facet | Hsieh, Yi-Ping Hwa, Hsiao-Lin Shen, April Chiung-Tao Wei, Hsi-Sheng Feng, Jui-Ying Huang, Ching-Yu |
author_sort | Hsieh, Yi-Ping |
collection | PubMed |
description | We examined multidimensional factors within four systems (individual, family, school, and community) that influence internet addiction across time among children through adolescence in Taiwan. We hypothesize that internet addiction increases from childhood to adolescence and that resilience, child neglect, positive school experiences, and community violence are significant predictors at baseline and of the rate of change across time. Based on stratified random sampling, a valid sample size of 6233 Taiwanese children participated in our study, which we began in 2014 and then followed this sample in 2016 and 2018 using repeated measures. We used hierarchical linear modeling to model changes in internet addiction across time (with equal two-year intervals between assessments) and the associations between the predictors and internet addiction over time. The results show that internet addiction increases from childhood to adolescence. After controlling for gender, we found that resilience and positive school experiences predict less internet addiction, whereas neglect and community violence predict greater internet addiction. Over time, greater resilience predicts a decreasing trajectory of internet addiction, whereas greater neglect and community violence predict a slower increasing trajectory and positive school experiences predict a faster-increasing trajectory. A holistic approach can help children cope with internet addiction. |
format | Online Article Text |
id | pubmed-8296065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82960652021-07-23 Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study Hsieh, Yi-Ping Hwa, Hsiao-Lin Shen, April Chiung-Tao Wei, Hsi-Sheng Feng, Jui-Ying Huang, Ching-Yu Int J Environ Res Public Health Article We examined multidimensional factors within four systems (individual, family, school, and community) that influence internet addiction across time among children through adolescence in Taiwan. We hypothesize that internet addiction increases from childhood to adolescence and that resilience, child neglect, positive school experiences, and community violence are significant predictors at baseline and of the rate of change across time. Based on stratified random sampling, a valid sample size of 6233 Taiwanese children participated in our study, which we began in 2014 and then followed this sample in 2016 and 2018 using repeated measures. We used hierarchical linear modeling to model changes in internet addiction across time (with equal two-year intervals between assessments) and the associations between the predictors and internet addiction over time. The results show that internet addiction increases from childhood to adolescence. After controlling for gender, we found that resilience and positive school experiences predict less internet addiction, whereas neglect and community violence predict greater internet addiction. Over time, greater resilience predicts a decreasing trajectory of internet addiction, whereas greater neglect and community violence predict a slower increasing trajectory and positive school experiences predict a faster-increasing trajectory. A holistic approach can help children cope with internet addiction. MDPI 2021-06-09 /pmc/articles/PMC8296065/ /pubmed/34207812 http://dx.doi.org/10.3390/ijerph18126253 Text en © 2021 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 Hsieh, Yi-Ping Hwa, Hsiao-Lin Shen, April Chiung-Tao Wei, Hsi-Sheng Feng, Jui-Ying Huang, Ching-Yu Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title | Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title_full | Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title_fullStr | Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title_full_unstemmed | Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title_short | Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study |
title_sort | ecological predictors and trajectory of internet addiction from childhood through adolescence: a nationally representative longitudinal study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296065/ https://www.ncbi.nlm.nih.gov/pubmed/34207812 http://dx.doi.org/10.3390/ijerph18126253 |
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