Cargando…
A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants
BACKGROUND: The appropriate limit to the amount of daily sedentary time (ST) required to minimize mortality is uncertain. This meta-analysis aimed to quantify the dose-response association between daily ST and all-cause mortality and to explore the cut-off point above which health is impaired in adu...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998593/ https://www.ncbi.nlm.nih.gov/pubmed/29793552 http://dx.doi.org/10.1186/s12916-018-1062-2 |
_version_ | 1783331261140434944 |
---|---|
author | Ku, Po-Wen Steptoe, Andrew Liao, Yung Hsueh, Ming-Chun Chen, Li-Jung |
author_facet | Ku, Po-Wen Steptoe, Andrew Liao, Yung Hsueh, Ming-Chun Chen, Li-Jung |
author_sort | Ku, Po-Wen |
collection | PubMed |
description | BACKGROUND: The appropriate limit to the amount of daily sedentary time (ST) required to minimize mortality is uncertain. This meta-analysis aimed to quantify the dose-response association between daily ST and all-cause mortality and to explore the cut-off point above which health is impaired in adults aged 18–64 years old. We also examined whether there are differences between studies using self-report ST and those with device-based ST. METHODS: Prospective cohort studies providing effect estimates of daily ST (exposure) on all-cause mortality (outcome) were identified via MEDLINE, PubMed, Scopus, Web of Science, and Google Scholar databases until January 2018. Dose-response relationships between daily ST and all-cause mortality were examined using random-effects meta-regression models. RESULTS: Based on the pooled data for more than 1 million participants from 19 studies, the results showed a log-linear dose-response association between daily ST and all-cause mortality. Overall, more time spent in sedentary behaviors is associated with increased mortality risks. However, the method of measuring ST moderated the association between daily ST and mortality risk (p < 0.05). The cut-off of daily ST in studies with self-report ST was 7 h/day in comparison with 9 h/day for those with device-based ST. CONCLUSIONS: Higher amounts of daily ST are log-linearly associated with increased risk of all-cause mortality in adults. On the basis of a limited number of studies using device-based measures, the findings suggest that it may be appropriate to encourage adults to engage in less sedentary behaviors, with fewer than 9 h a day being relevant for all-cause mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1062-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5998593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59985932018-06-25 A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants Ku, Po-Wen Steptoe, Andrew Liao, Yung Hsueh, Ming-Chun Chen, Li-Jung BMC Med Research Article BACKGROUND: The appropriate limit to the amount of daily sedentary time (ST) required to minimize mortality is uncertain. This meta-analysis aimed to quantify the dose-response association between daily ST and all-cause mortality and to explore the cut-off point above which health is impaired in adults aged 18–64 years old. We also examined whether there are differences between studies using self-report ST and those with device-based ST. METHODS: Prospective cohort studies providing effect estimates of daily ST (exposure) on all-cause mortality (outcome) were identified via MEDLINE, PubMed, Scopus, Web of Science, and Google Scholar databases until January 2018. Dose-response relationships between daily ST and all-cause mortality were examined using random-effects meta-regression models. RESULTS: Based on the pooled data for more than 1 million participants from 19 studies, the results showed a log-linear dose-response association between daily ST and all-cause mortality. Overall, more time spent in sedentary behaviors is associated with increased mortality risks. However, the method of measuring ST moderated the association between daily ST and mortality risk (p < 0.05). The cut-off of daily ST in studies with self-report ST was 7 h/day in comparison with 9 h/day for those with device-based ST. CONCLUSIONS: Higher amounts of daily ST are log-linearly associated with increased risk of all-cause mortality in adults. On the basis of a limited number of studies using device-based measures, the findings suggest that it may be appropriate to encourage adults to engage in less sedentary behaviors, with fewer than 9 h a day being relevant for all-cause mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-018-1062-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-25 /pmc/articles/PMC5998593/ /pubmed/29793552 http://dx.doi.org/10.1186/s12916-018-1062-2 Text en © The Author(s). 2018 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 Ku, Po-Wen Steptoe, Andrew Liao, Yung Hsueh, Ming-Chun Chen, Li-Jung A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title_full | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title_fullStr | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title_full_unstemmed | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title_short | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
title_sort | cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998593/ https://www.ncbi.nlm.nih.gov/pubmed/29793552 http://dx.doi.org/10.1186/s12916-018-1062-2 |
work_keys_str_mv | AT kupowen acutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT steptoeandrew acutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT liaoyung acutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT hsuehmingchun acutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT chenlijung acutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT kupowen cutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT steptoeandrew cutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT liaoyung cutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT hsuehmingchun cutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants AT chenlijung cutoffofdailysedentarytimeandallcausemortalityinadultsametaregressionanalysisinvolvingmorethan1millionparticipants |