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      Effects of Exercise Training on Cardiorespiratory Fitness and Biomarkers of Cardiometabolic Health: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

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          Abstract

          Background

          Guidelines recommend exercise for cardiovascular health, although evidence from trials linking exercise to cardiovascular health through intermediate biomarkers remains inconsistent. We performed a meta-analysis of randomized controlled trials to quantify the impact of exercise on cardiorespiratory fitness and a variety of conventional and novel cardiometabolic biomarkers in adults without cardiovascular disease.

          Methods and Results

          Two researchers selected 160 randomized controlled trials (7487 participants) based on literature searches of Medline, Embase, and Cochrane Central (January 1965 to March 2014). Data were extracted using a standardized protocol. A random-effects meta-analysis and systematic review was conducted to evaluate the effects of exercise interventions on cardiorespiratory fitness and circulating biomarkers. Exercise significantly raised absolute and relative cardiorespiratory fitness. Lipid profiles were improved in exercise groups, with lower levels of triglycerides and higher levels of high-density lipoprotein cholesterol and apolipoprotein A1. Lower levels of fasting insulin, homeostatic model assessment–insulin resistance, and glycosylated hemoglobin A1c were found in exercise groups. Compared with controls, exercise groups had higher levels of interleukin-18 and lower levels of leptin, fibrinogen, and angiotensin II. In addition, we found that the exercise effects were modified by age, sex, and health status such that people aged <50 years, men, and people with type 2 diabetes, hypertension, dyslipidemia, or metabolic syndrome appeared to benefit more.

          Conclusions

          This meta-analysis showed that exercise significantly improved cardiorespiratory fitness and some cardiometabolic biomarkers. The effects of exercise were modified by age, sex, and health status. Findings from this study have significant implications for future design of targeted lifestyle interventions.

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          Most cited references242

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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            Bias in meta-analysis detected by a simple, graphical test

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              Quantifying heterogeneity in a meta-analysis.

              The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                jah3
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley & Sons, Ltd (Chichester, UK )
                2047-9980
                2047-9980
                July 2015
                25 June 2015
                : 4
                : 7
                : e002014
                Affiliations
                [1 ]Department of Epidemiology, School of Public Health, Brown University Providence, RI
                [2 ]Division of Cardiology and Veterans Affairs Medical Center, Department of Medicine, Alpert Medical School, Brown University Providence, RI
                [3 ]Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University Indianapolis, IN
                [4 ]Center for the Youth Sport Research and Development, China Institute of Sport Science Beijing, China
                [5 ]Geriatrics, Research, Education and Clinical Centers, VA Greater Los Angeles Healthcare System Los Angeles, CA
                [6 ]Department of Kinesiology, Center for Physical Activity in Wellness and Prevention, Indiana University-Purdue University at Indianapolis IN
                [7 ]Division of Endocrinology, Department of Medicine, Rhode Island Hospital Providence, RI
                Author notes
                Correspondence to: Simin Liu, MD, ScD, Department of Epidemiology and Medicine, Brown University, 121 South Main St, Providence, RI 02903. E-mail: Simin_liu@ 123456brown.edu and Yiqing Song, MD, ScD, Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, 714 North Senate Avenue, Indianapolis, IN 46202. E-mail: yiqsong@ 123456iu.edu
                Article
                10.1161/JAHA.115.002014
                4608087
                26116691
                c5faa310-96b5-45cb-b5aa-21110810af29
                © 2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

                This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 02 April 2015
                : 30 April 2015
                Categories
                Original Research

                Cardiovascular Medicine
                biomarker,cardiometabolic health,cardiovascular disease prevention,exercise training

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