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      Associations of Body Mass and Fat Indexes With Cardiometabolic Traits

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          Abstract

          Background

          Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear.

          Objectives

          The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometry in their associations with cardiometabolic traits. Duration of exposure to and change in each index across adolescence were examined in relation to detailed traits in young adulthood.

          Methods

          BMI was examined alongside total, trunk, arm, and leg fat indexes (each in kilograms per square meter) from dual-energy x-ray absorptiometry at ages 10 and 18 years in relation to 230 traits from targeted metabolomics at age 18 years in 2,840 offspring from the Avon Longitudinal Study of Parents and Children.

          Results

          Higher total fat mass index and BMI at age 10 years were similarly associated with cardiometabolic traits at age 18 years, including higher systolic and diastolic blood pressure, higher very low-density lipoprotein and low-density lipoprotein cholesterol, lower high-density lipoprotein cholesterol, higher triglycerides, and higher insulin and glycoprotein acetyls. Associations were stronger for both indexes measured at age 18 years and for gains in each index from age 10 to 18 years (e.g., 0.45 SDs [95% confidence interval: 0.38 to 0.53] in glycoprotein acetyls per SD unit gain in fat mass index vs. 0.38 SDs [95% confidence interval: 0.27 to 0.48] per SD unit gain in BMI). Associations resembled those for trunk fat index. Higher lean mass index was weakly associated with traits and was not protective against higher fat mass index.

          Conclusions

          The results of this study support abdominal fatness as a primary driver of cardiometabolic dysfunction and BMI as a useful tool for detecting its effects.

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          Most cited references19

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          The ASA's Statement onp-Values: Context, Process, and Purpose

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            Muscles, exercise and obesity: skeletal muscle as a secretory organ.

            During the past decade, skeletal muscle has been identified as a secretory organ. Accordingly, we have suggested that cytokines and other peptides that are produced, expressed and released by muscle fibres and exert either autocrine, paracrine or endocrine effects should be classified as myokines. The finding that the muscle secretome consists of several hundred secreted peptides provides a conceptual basis and a whole new paradigm for understanding how muscles communicate with other organs, such as adipose tissue, liver, pancreas, bones and brain. However, some myokines exert their effects within the muscle itself. Thus, myostatin, LIF, IL-6 and IL-7 are involved in muscle hypertrophy and myogenesis, whereas BDNF and IL-6 are involved in AMPK-mediated fat oxidation. IL-6 also appears to have systemic effects on the liver, adipose tissue and the immune system, and mediates crosstalk between intestinal L cells and pancreatic islets. Other myokines include the osteogenic factors IGF-1 and FGF-2; FSTL-1, which improves the endothelial function of the vascular system; and the PGC-1α-dependent myokine irisin, which drives brown-fat-like development. Studies in the past few years suggest the existence of yet unidentified factors, secreted from muscle cells, which may influence cancer cell growth and pancreas function. Many proteins produced by skeletal muscle are dependent upon contraction; therefore, physical inactivity probably leads to an altered myokine response, which could provide a potential mechanism for the association between sedentary behaviour and many chronic diseases.
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              Sifting the evidence-what's wrong with significance tests?

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                Author and article information

                Contributors
                Journal
                J Am Coll Cardiol
                J. Am. Coll. Cardiol
                Journal of the American College of Cardiology
                Elsevier Biomedical
                0735-1097
                1558-3597
                18 December 2018
                18 December 2018
                : 72
                : 24
                : 3142-3154
                Affiliations
                [a ]MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
                [b ]Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
                [c ]School of Sport, Exercise & Health Sciences, Loughborough University, Leicestershire, United Kingdom
                Author notes
                [] Address for correspondence: Dr. Joshua A. Bell, MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol BS8 2BN, United Kingdom. j.bell@ 123456bristol.ac.uk @ 123456joshuaa_bell
                Article
                S0735-1097(18)38830-2
                10.1016/j.jacc.2018.09.066
                6290112
                30545453
                2aed9b56-ba21-4b01-af34-4292d3955fcf
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 24 June 2018
                : 15 August 2018
                : 16 September 2018
                Categories
                Article

                Cardiovascular Medicine
                alspac,body mass index,cardiometabolic traits,dxa,epidemiology,bmi, body mass index,chd, coronary heart disease,ci, confidence interval,crp, c-reactive protein,dbp, diastolic blood pressure,dxa, dual-energy x-ray absorptiometry,hdl, high-density lipoprotein,ldl, low-density lipoprotein,sbp, systolic blood pressure,vldl, very-low-density lipoprotein

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