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Screen viewing behavior and sleep duration among children aged 2 and below
BACKGROUND: Few studies have investigated the association between screen viewing (SV) and sleep duration among young children. This study aims to examine the association between total and device-specific SV and sleep duration among children aged 2 and below. METHODS: We conducted a cross-sectional s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332844/ https://www.ncbi.nlm.nih.gov/pubmed/30642299 http://dx.doi.org/10.1186/s12889-018-6385-6 |
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author | Chen, Bozhi van Dam, Rob M. Tan, Chuen Seng Chua, Hwee Ling Wong, Pey Gein Bernard, Jonathan Y. Müller-Riemenschneider, Falk |
author_facet | Chen, Bozhi van Dam, Rob M. Tan, Chuen Seng Chua, Hwee Ling Wong, Pey Gein Bernard, Jonathan Y. Müller-Riemenschneider, Falk |
author_sort | Chen, Bozhi |
collection | PubMed |
description | BACKGROUND: Few studies have investigated the association between screen viewing (SV) and sleep duration among young children. This study aims to examine the association between total and device-specific SV and sleep duration among children aged 2 and below. METHODS: We conducted a cross-sectional study of 714 Singaporean children aged 2 years and below. Parents were recruited during routine well-child clinic visits from two national polyclinics. In Singapore, all parents visit well-child clinics with their children at regular intervals for routine check-ups and vaccinations. Socio-demographic characteristics, duration of total and device-specific SV, and sleep duration were reported by parents via interviewer-administered questionnaires. Multiple linear regression analysis was used to assess associations between various types of SV and sleep duration, adjusted for socio-demographic variables. Due to significant interaction between SV and age, stratified analyses for children aged less than 6 months and those aged 7–24 months were performed. RESULTS: The prevalence of daily SV among children was 53.1%; 28.3% in children up to 6 months and 73.8% in children aged 7 to 24 months. TV viewing was reported for 44.3% of all children and mobile device SV for 30.1%. Children’s average sleep duration was 13.9 (SD = 3.5) hours daily and younger children had longer sleep duration than older ones (up to 6 months: mean = 15.6 h, SD = 3.9; 7–24 months: mean = 12.4 h, SD = 2.2; P < 0.01). In the regression analysis among all children, each 1 h per day increment in total SV was significantly associated with 0.26 h shorter sleep duration with similar significant associations for TV (β = − 0.28 h, 95%CI: -0.50, − 0.06) and mobile devices (β = − 0.35 h, 95%CI: -0.61, − 0.09). Stratified analysis revealed significantly greater reductions in sleep with higher SV among children aged 6 months and below (β = − 0.73 h, 95%CI: -1.12, − 0.34), while associations were weaker in older children (β = − 0.13 h, 95% CI: -0.24, − 0.01). CONCLUSIONS: This study provides evidence for a substantial association between longer SV and shorter sleep duration among very young children. These associations appeared stronger among children aged 6 months and below as compared with those aged 7 to 24 months. Further studies are warranted to confirm our findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6385-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6332844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63328442019-01-23 Screen viewing behavior and sleep duration among children aged 2 and below Chen, Bozhi van Dam, Rob M. Tan, Chuen Seng Chua, Hwee Ling Wong, Pey Gein Bernard, Jonathan Y. Müller-Riemenschneider, Falk BMC Public Health Research Article BACKGROUND: Few studies have investigated the association between screen viewing (SV) and sleep duration among young children. This study aims to examine the association between total and device-specific SV and sleep duration among children aged 2 and below. METHODS: We conducted a cross-sectional study of 714 Singaporean children aged 2 years and below. Parents were recruited during routine well-child clinic visits from two national polyclinics. In Singapore, all parents visit well-child clinics with their children at regular intervals for routine check-ups and vaccinations. Socio-demographic characteristics, duration of total and device-specific SV, and sleep duration were reported by parents via interviewer-administered questionnaires. Multiple linear regression analysis was used to assess associations between various types of SV and sleep duration, adjusted for socio-demographic variables. Due to significant interaction between SV and age, stratified analyses for children aged less than 6 months and those aged 7–24 months were performed. RESULTS: The prevalence of daily SV among children was 53.1%; 28.3% in children up to 6 months and 73.8% in children aged 7 to 24 months. TV viewing was reported for 44.3% of all children and mobile device SV for 30.1%. Children’s average sleep duration was 13.9 (SD = 3.5) hours daily and younger children had longer sleep duration than older ones (up to 6 months: mean = 15.6 h, SD = 3.9; 7–24 months: mean = 12.4 h, SD = 2.2; P < 0.01). In the regression analysis among all children, each 1 h per day increment in total SV was significantly associated with 0.26 h shorter sleep duration with similar significant associations for TV (β = − 0.28 h, 95%CI: -0.50, − 0.06) and mobile devices (β = − 0.35 h, 95%CI: -0.61, − 0.09). Stratified analysis revealed significantly greater reductions in sleep with higher SV among children aged 6 months and below (β = − 0.73 h, 95%CI: -1.12, − 0.34), while associations were weaker in older children (β = − 0.13 h, 95% CI: -0.24, − 0.01). CONCLUSIONS: This study provides evidence for a substantial association between longer SV and shorter sleep duration among very young children. These associations appeared stronger among children aged 6 months and below as compared with those aged 7 to 24 months. Further studies are warranted to confirm our findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6385-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-14 /pmc/articles/PMC6332844/ /pubmed/30642299 http://dx.doi.org/10.1186/s12889-018-6385-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chen, Bozhi van Dam, Rob M. Tan, Chuen Seng Chua, Hwee Ling Wong, Pey Gein Bernard, Jonathan Y. Müller-Riemenschneider, Falk Screen viewing behavior and sleep duration among children aged 2 and below |
title | Screen viewing behavior and sleep duration among children aged 2 and below |
title_full | Screen viewing behavior and sleep duration among children aged 2 and below |
title_fullStr | Screen viewing behavior and sleep duration among children aged 2 and below |
title_full_unstemmed | Screen viewing behavior and sleep duration among children aged 2 and below |
title_short | Screen viewing behavior and sleep duration among children aged 2 and below |
title_sort | screen viewing behavior and sleep duration among children aged 2 and below |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332844/ https://www.ncbi.nlm.nih.gov/pubmed/30642299 http://dx.doi.org/10.1186/s12889-018-6385-6 |
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