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Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study

BACKGROUND: High screen viewing time has detrimental effects on children’s health, development, and behavior developing. Children are being exposed to more and more media devices at an earlier age. This study was aimed to determine the amount of daily screen time and its variation and to assess pote...

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Autores principales: Li, Chao, Cheng, Gang, He, Simin, Xie, Xiaowei, Tian, Gang, Jiang, Ni, Min, Xianying, Shi, Yan, Li, Rui, Zhou, Tong, Yan, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188020/
https://www.ncbi.nlm.nih.gov/pubmed/35690770
http://dx.doi.org/10.1186/s12889-022-13268-9
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author Li, Chao
Cheng, Gang
He, Simin
Xie, Xiaowei
Tian, Gang
Jiang, Ni
Min, Xianying
Shi, Yan
Li, Rui
Zhou, Tong
Yan, Yan
author_facet Li, Chao
Cheng, Gang
He, Simin
Xie, Xiaowei
Tian, Gang
Jiang, Ni
Min, Xianying
Shi, Yan
Li, Rui
Zhou, Tong
Yan, Yan
author_sort Li, Chao
collection PubMed
description BACKGROUND: High screen viewing time has detrimental effects on children’s health, development, and behavior developing. Children are being exposed to more and more media devices at an earlier age. This study was aimed to determine the amount of daily screen time and its variation and to assess potential factors of screen time by identifying the trajectory of screen time among children aged 1 to 5 years. METHOD: This study was based on a representative sample of Changsha young children from a cohort study during 2015–2020. The demographic information and children’s screen viewing time were collected by parents or caregivers through face-to-face interviews. The Latent growth model was used to test the effects of outdoor play on screen viewing time at eight time points, meanwhile, unconditional and conditional models were examined sequentially. RESULT: After excluding respondents with missing key variables, we included 953 children in the final analysis. Children’s outdoor play was slightly increased at 18 months and subsequently declined at 24–60 months, with a maximum duration of 2.96 h per day. Children’s average screen time was increased at 18–36 months, and decreased at 42–54 months, with a slight increase at 60 months. The duration of media exposure peaked at 1.4 h/d at age of 36 months and 60 months. Standardized coefficients of the outdoor play at age of 12 months showed negative effects on the screen time in children, but with positive influence at age of 24, 36, and 42 months (P <  0.01). CONCLUSION: High proportions of young Chinese children in Changsha had more screen time than the AAP recommended according to our analysis. Significant predictors of screen time included pregnancy computer use, paternal educational level, and outdoor play in this study, however, further understanding of risk factors is needed to promote great public health efforts to reduce children’s screen exposure. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13268-9.
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spelling pubmed-91880202022-06-13 Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study Li, Chao Cheng, Gang He, Simin Xie, Xiaowei Tian, Gang Jiang, Ni Min, Xianying Shi, Yan Li, Rui Zhou, Tong Yan, Yan BMC Public Health Research BACKGROUND: High screen viewing time has detrimental effects on children’s health, development, and behavior developing. Children are being exposed to more and more media devices at an earlier age. This study was aimed to determine the amount of daily screen time and its variation and to assess potential factors of screen time by identifying the trajectory of screen time among children aged 1 to 5 years. METHOD: This study was based on a representative sample of Changsha young children from a cohort study during 2015–2020. The demographic information and children’s screen viewing time were collected by parents or caregivers through face-to-face interviews. The Latent growth model was used to test the effects of outdoor play on screen viewing time at eight time points, meanwhile, unconditional and conditional models were examined sequentially. RESULT: After excluding respondents with missing key variables, we included 953 children in the final analysis. Children’s outdoor play was slightly increased at 18 months and subsequently declined at 24–60 months, with a maximum duration of 2.96 h per day. Children’s average screen time was increased at 18–36 months, and decreased at 42–54 months, with a slight increase at 60 months. The duration of media exposure peaked at 1.4 h/d at age of 36 months and 60 months. Standardized coefficients of the outdoor play at age of 12 months showed negative effects on the screen time in children, but with positive influence at age of 24, 36, and 42 months (P <  0.01). CONCLUSION: High proportions of young Chinese children in Changsha had more screen time than the AAP recommended according to our analysis. Significant predictors of screen time included pregnancy computer use, paternal educational level, and outdoor play in this study, however, further understanding of risk factors is needed to promote great public health efforts to reduce children’s screen exposure. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13268-9. BioMed Central 2022-06-11 /pmc/articles/PMC9188020/ /pubmed/35690770 http://dx.doi.org/10.1186/s12889-022-13268-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Chao
Cheng, Gang
He, Simin
Xie, Xiaowei
Tian, Gang
Jiang, Ni
Min, Xianying
Shi, Yan
Li, Rui
Zhou, Tong
Yan, Yan
Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title_full Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title_fullStr Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title_full_unstemmed Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title_short Prevalence, correlates, and trajectory of screen viewing among Chinese children in Changsha: a birth cohort study
title_sort prevalence, correlates, and trajectory of screen viewing among chinese children in changsha: a birth cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188020/
https://www.ncbi.nlm.nih.gov/pubmed/35690770
http://dx.doi.org/10.1186/s12889-022-13268-9
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