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Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents

BACKGROUND: The aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach. METHODS: Observational data were used from 108 adolescents (53% girls;...

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Autores principales: Verloigne, Maïté, Van Oeckel, Veerle, Brondeel, Ruben, Poppe, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440143/
https://www.ncbi.nlm.nih.gov/pubmed/34521376
http://dx.doi.org/10.1186/s12889-021-11694-9
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author Verloigne, Maïté
Van Oeckel, Veerle
Brondeel, Ruben
Poppe, Louise
author_facet Verloigne, Maïté
Van Oeckel, Veerle
Brondeel, Ruben
Poppe, Louise
author_sort Verloigne, Maïté
collection PubMed
description BACKGROUND: The aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach. METHODS: Observational data were used from 108 adolescents (53% girls; mean age 12.9 (SD 0.7) years) from six schools in Flanders, Belgium. The Axivity AX3 triaxial accelerometer, worn on the thigh, was used to assess daily total sitting time and daily time spent in sedentary bouts of ≥30 min (as a proxy for prolonged sitting time). The Fitbit Charge 3 was used to assess nightly sleep duration. Both monitors were worn on schooldays only (ranging from 4 to 5 days). Linear mixed models were conducted to analyse the associations, resulting in four models. In each model, the independent variable (sleep duration, sitting time or prolonged sitting time) was included as within- as well as between-subjects factor. RESULTS: Within-subjects analyses showed that when the adolescents sat more and when the adolescents spent more time sitting in bouts of ≥30 min than they usually did on a given day, they slept less during the following night (p = 0.01 and p = 0.05 (borderline significant), respectively). These associations were not significant in the other direction. Between-subjects analyses showed that adolescents who slept more on average, spent less time sitting (p = 0.006) and less time sitting in bouts of ≥30 min (p = 0.004) compared with adolescents who slept less on average. Conversely, adolescents who spent more time sitting on average and adolescents who spent more time sitting in bouts of ≥30 min on average, slept less (p = 0.02 and p = 0.003, respectively). CONCLUSIONS: Based on the between-subjects analyses, interventions focusing on reducing or regularly breaking up sitting time could improve adolescents’ sleep duration on a population level, and vice versa. However, the within-subjects association was only found in one direction and suggests that to sleep sufficiently during the night, adolescents might limit and regularly break up their sitting time the preceding day. TRIAL REGISTRATION: Data have been used from our trial registered at ClinicalTrials.gov (NCT04327414; registered on March 11, 2020). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11694-9.
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spelling pubmed-84401432021-09-15 Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents Verloigne, Maïté Van Oeckel, Veerle Brondeel, Ruben Poppe, Louise BMC Public Health Research BACKGROUND: The aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach. METHODS: Observational data were used from 108 adolescents (53% girls; mean age 12.9 (SD 0.7) years) from six schools in Flanders, Belgium. The Axivity AX3 triaxial accelerometer, worn on the thigh, was used to assess daily total sitting time and daily time spent in sedentary bouts of ≥30 min (as a proxy for prolonged sitting time). The Fitbit Charge 3 was used to assess nightly sleep duration. Both monitors were worn on schooldays only (ranging from 4 to 5 days). Linear mixed models were conducted to analyse the associations, resulting in four models. In each model, the independent variable (sleep duration, sitting time or prolonged sitting time) was included as within- as well as between-subjects factor. RESULTS: Within-subjects analyses showed that when the adolescents sat more and when the adolescents spent more time sitting in bouts of ≥30 min than they usually did on a given day, they slept less during the following night (p = 0.01 and p = 0.05 (borderline significant), respectively). These associations were not significant in the other direction. Between-subjects analyses showed that adolescents who slept more on average, spent less time sitting (p = 0.006) and less time sitting in bouts of ≥30 min (p = 0.004) compared with adolescents who slept less on average. Conversely, adolescents who spent more time sitting on average and adolescents who spent more time sitting in bouts of ≥30 min on average, slept less (p = 0.02 and p = 0.003, respectively). CONCLUSIONS: Based on the between-subjects analyses, interventions focusing on reducing or regularly breaking up sitting time could improve adolescents’ sleep duration on a population level, and vice versa. However, the within-subjects association was only found in one direction and suggests that to sleep sufficiently during the night, adolescents might limit and regularly break up their sitting time the preceding day. TRIAL REGISTRATION: Data have been used from our trial registered at ClinicalTrials.gov (NCT04327414; registered on March 11, 2020). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11694-9. BioMed Central 2021-09-15 /pmc/articles/PMC8440143/ /pubmed/34521376 http://dx.doi.org/10.1186/s12889-021-11694-9 Text en © The Author(s) 2021 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
Verloigne, Maïté
Van Oeckel, Veerle
Brondeel, Ruben
Poppe, Louise
Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title_full Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title_fullStr Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title_full_unstemmed Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title_short Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
title_sort bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440143/
https://www.ncbi.nlm.nih.gov/pubmed/34521376
http://dx.doi.org/10.1186/s12889-021-11694-9
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