Ku, P-W;
Steptoe, A;
Liao, Y;
Hsueh, M-C;
Chen, L-J;
(2018)
A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants.
BMC Medicine
, 16
, Article 74. 10.1186/s12916-018-1062-2.
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Abstract
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.
Type: | Article |
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Title: | A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1186/s12916-018-1062-2 |
Publisher version: | https://doi.org/10.1186/s12916-018-1062-2 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Science & Technology, Life Sciences & Biomedicine, Medicine, General & Internal, General & Internal Medicine, Sedentary behavior, Sitting, Inactivity, Review, Cut-point, Recommendation, PHYSICAL-ACTIVITY, SITTING TIME, DOSE-RESPONSE, US ADULTS, CARDIOVASCULAR-DISEASE, OLDER WOMEN, BEHAVIOR, COHORT, METAANALYSIS, ASSOCIATION |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10050747 |
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