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      A Threshold of Objectively-Assessed Daily Sedentary Time for All-Cause Mortality in Older Adults: A Meta-Regression of Prospective Cohort Studies

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          Abstract

          Background: This meta-analysis aimed to estimate the shape of the dose-response association between objectively-assessed daily sedentary time (ST) and all-cause mortality, and to explore whether there is a threshold of ST above which there is an increase in mortality risk in older adults. Methods: Searches for prospective cohort studies providing effect estimates of daily ST (exposure) on all-cause mortality (outcome) were undertaken in five databases up to 31 March 2019. A random-effects meta-regression model was conducted to quantify the dose-response relationship between daily ST and all-cause mortality. Sensitivity analyses were also performed to test the stability of the results. Results: Our analysis of pooled data from 11 eligible studies did not reveal a consistent shape of association between ST and mortality. After excluding three studies with potential confounding bias, there was a log-linear dose-response relationship between daily ST and all-cause mortality. Overall, higher amounts of time spent in sedentary behaviors were associated with elevated mortality risks in older adults. Visual assessments of dose-response relationships based on meta-regression analyses indicated that increased mortality risks became significant when total ST exceeded approximately 9 h/day. Conclusions: Based on a limited number of studies, this meta-analysis provides a starting point for considering a cut-off of daily sedentary time, suggesting older adults spend less time in daily sitting.

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          Improved tests for a random effects meta-regression with a single covariate.

          The explanation of heterogeneity plays an important role in meta-analysis. The random effects meta-regression model allows the inclusion of trial-specific covariates which may explain a part of the heterogeneity. We examine the commonly used tests on the parameters in the random effects meta-regression with one covariate and propose some new test statistics based on an improved estimator of the variance of the parameter estimates. The approximation of the distribution of the newly proposed tests is based on some theoretical considerations. Moreover, the newly proposed tests can easily be extended to the case of more than one covariate. In a simulation study, we compare the tests with regard to their actual significance level and we consider the log relative risk as the parameter of interest. Our simulation study reflects the meta-analysis of the efficacy of a vaccine for the prevention of tuberculosis originally discussed in Berkey et al. The simulation study shows that the newly proposed tests are superior to the commonly used test in holding the nominal significance level. Copyright 2003 John Wiley & Sons, Ltd.
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            A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis

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              Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults.

              Moderate-to-vigorous-intensity physical activity is recommended to maintain and improve health, but the mortality benefits of light activity and risk for sedentary time remain uncertain.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                25 April 2019
                April 2019
                : 8
                : 4
                : 564
                Affiliations
                [1 ]Graduate Institute of Sports and Health, National Changhua University of Education, Changhua City 500, Taiwan; powen@ 123456cc.ncue.edu.tw
                [2 ]Department of Sports Science, National Tsing Hua University, Hsinchu City 300, Taiwan
                [3 ]Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK; a.steptoe@ 123456ucl.ac.uk
                [4 ]Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei 106, Taiwan; liaoyung@ 123456ntnu.edu.tw
                [5 ]Department of Physical Education, National Taiwan Normal University, Taiwan. No.162, He-ping East Road, Section 1, Taipei 106, Taiwan
                [6 ]Department of Exercise Health Science and Graduate Institute of Recreational Sport Management, National Taiwan University of Sport, Taiwan. No. 16, Section 1, Shuang-Shih Rd., Taichung 404, Taiwan
                Author notes
                [* ]Correspondence: boxeo@ 123456ntnu.edu.tw (M.-C.H.); ljchen@ 123456gm.ntupes.edu.tw (L.-J.C.)
                Author information
                https://orcid.org/0000-0001-9724-018X
                https://orcid.org/0000-0002-4401-8275
                https://orcid.org/0000-0001-6723-9487
                Article
                jcm-08-00564
                10.3390/jcm8040564
                6517908
                31027301
                41ae2df2-7633-41b2-b3c0-4fc2711f22c1
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 March 2019
                : 19 April 2019
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                sedentary behavior,sitting,inactivity,review,cut-point,recommendation,meta-analysis

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