Cargando…
Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD)
BACKGROUND: To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people’s sedentary time. This study examined tracking of young peoples’ total and prolonged sedentary time as well as their day...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236462/ https://www.ncbi.nlm.nih.gov/pubmed/32423404 http://dx.doi.org/10.1186/s12966-020-00960-5 |
_version_ | 1783536160606257152 |
---|---|
author | van Ekris, Evi Wijndaele, Katrien Altenburg, Teatske M. Atkin, Andrew J. Twisk, Jos Andersen, Lars B. Janz, Kathleen F. Froberg, Karsten Northstone, Kate Page, Angie S. Sardinha, Luis B. van Sluijs, Esther M. F. Chinapaw, Mai |
author_facet | van Ekris, Evi Wijndaele, Katrien Altenburg, Teatske M. Atkin, Andrew J. Twisk, Jos Andersen, Lars B. Janz, Kathleen F. Froberg, Karsten Northstone, Kate Page, Angie S. Sardinha, Luis B. van Sluijs, Esther M. F. Chinapaw, Mai |
author_sort | van Ekris, Evi |
collection | PubMed |
description | BACKGROUND: To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people’s sedentary time. This study examined tracking of young peoples’ total and prolonged sedentary time as well as their day-to-day variation using the International Children’s Accelerometry Database. METHODS: Longitudinal accelerometer data of 5991 children (aged 4-17y) was used from eight studies in five countries. Children were included if they provided valid (≥8 h/day) accelerometer data on ≥4 days, including ≥1 weekend day, at both baseline and follow-up (average follow-up: 2.7y; range 0.7–8.2). Tracking of total and prolonged (i.e. ≥10-min bouts) sedentary time was examined using multilevel modelling to adjust for clustering of observations, with baseline levels of sedentary time as predictor and follow-up levels as outcome. Standardized regression coefficients were interpreted as tracking coefficients (low: < 0.3; moderate: 0.3–0.6; high: > 0.6). RESULTS: Average total sedentary time at study level ranged from 246 to 387 min/day at baseline and increased annually by 21.4 min/day (95% confidence interval [19.6–23.0]) on average. This increase consisted almost entirely of prolonged sedentary time (20.9 min/day [19.2–22.7]). Total (standardized regression coefficient (B) = 0.48 [0.45–0.50]) and prolonged sedentary time (B = 0.43 [0.41–0.45]) tracked moderately. Tracking of day-to-day variation in total (B = 0.04 [0.02–0.07]) and prolonged (B = 0.07 [0.04–0.09]) sedentary time was low. CONCLUSION: Young people with high levels of sedentary time are likely to remain among the people with highest sedentary time as they grow older. Day-to-day variation in total and prolonged sedentary time, however, was rather variable over time. |
format | Online Article Text |
id | pubmed-7236462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72364622020-05-29 Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) van Ekris, Evi Wijndaele, Katrien Altenburg, Teatske M. Atkin, Andrew J. Twisk, Jos Andersen, Lars B. Janz, Kathleen F. Froberg, Karsten Northstone, Kate Page, Angie S. Sardinha, Luis B. van Sluijs, Esther M. F. Chinapaw, Mai Int J Behav Nutr Phys Act Research BACKGROUND: To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people’s sedentary time. This study examined tracking of young peoples’ total and prolonged sedentary time as well as their day-to-day variation using the International Children’s Accelerometry Database. METHODS: Longitudinal accelerometer data of 5991 children (aged 4-17y) was used from eight studies in five countries. Children were included if they provided valid (≥8 h/day) accelerometer data on ≥4 days, including ≥1 weekend day, at both baseline and follow-up (average follow-up: 2.7y; range 0.7–8.2). Tracking of total and prolonged (i.e. ≥10-min bouts) sedentary time was examined using multilevel modelling to adjust for clustering of observations, with baseline levels of sedentary time as predictor and follow-up levels as outcome. Standardized regression coefficients were interpreted as tracking coefficients (low: < 0.3; moderate: 0.3–0.6; high: > 0.6). RESULTS: Average total sedentary time at study level ranged from 246 to 387 min/day at baseline and increased annually by 21.4 min/day (95% confidence interval [19.6–23.0]) on average. This increase consisted almost entirely of prolonged sedentary time (20.9 min/day [19.2–22.7]). Total (standardized regression coefficient (B) = 0.48 [0.45–0.50]) and prolonged sedentary time (B = 0.43 [0.41–0.45]) tracked moderately. Tracking of day-to-day variation in total (B = 0.04 [0.02–0.07]) and prolonged (B = 0.07 [0.04–0.09]) sedentary time was low. CONCLUSION: Young people with high levels of sedentary time are likely to remain among the people with highest sedentary time as they grow older. Day-to-day variation in total and prolonged sedentary time, however, was rather variable over time. BioMed Central 2020-05-18 /pmc/articles/PMC7236462/ /pubmed/32423404 http://dx.doi.org/10.1186/s12966-020-00960-5 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research van Ekris, Evi Wijndaele, Katrien Altenburg, Teatske M. Atkin, Andrew J. Twisk, Jos Andersen, Lars B. Janz, Kathleen F. Froberg, Karsten Northstone, Kate Page, Angie S. Sardinha, Luis B. van Sluijs, Esther M. F. Chinapaw, Mai Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title | Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title_full | Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title_fullStr | Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title_full_unstemmed | Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title_short | Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children’s Accelerometry Database (ICAD) |
title_sort | tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the international children’s accelerometry database (icad) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236462/ https://www.ncbi.nlm.nih.gov/pubmed/32423404 http://dx.doi.org/10.1186/s12966-020-00960-5 |
work_keys_str_mv | AT vanekrisevi trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT wijndaelekatrien trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT altenburgteatskem trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT atkinandrewj trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT twiskjos trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT andersenlarsb trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT janzkathleenf trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT frobergkarsten trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT northstonekate trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT pageangies trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT sardinhaluisb trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT vansluijsesthermf trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT chinapawmai trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad AT trackingoftotalsedentarytimeandsedentarypatternsinyouthapooledanalysisusingtheinternationalchildrensaccelerometrydatabaseicad |