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      Fat Mass Index Better Identifies Metabolic Syndrome: Insights from Patients in Early Outpatient Cardiac Rehabilitation

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          Abstract

          Body mass index (BMI) does not differentiate fat and lean mass or the distribution of adipose tissue. The purpose of this study was to examine the prevalence of metabolic syndrome (MetS) among patients entering outpatient cardiac rehabilitation (CR) across fat mass index (FMI) categories compared with BMI. This retrospective cross-sectional study evaluated dual-energy x-ray absorptiometry in 483 CR patients from 1 January 2014, through 31 December 2017. Clinical data were extracted from the electronic health record. Patients were grouped by FMI and BMI categories. Mean (SD) age of patients was 64.3 (14) years. The normal FMI category had 15 patients; excess fat, 74; and obese, 384. In contrast, 93, 174, and 216 were in the normal, overweight, and obese BMI categories, respectively. Prevalence of MetS was 0 (0%) in normal, 5 (1%) in excess fat, and 167 (54%) in obese FMI, with 97% in the obese category. MetS prevalence was 4 patients (0.8%) in normal, 39 (8%) in overweight, and 129 (27%) in obese BMI categories, with 75% of MetS in the obese category. FMI more accurately classified CR patients with metabolically abnormal fat ( p < 0.001). FMI is a more sensitive index than BMI for metabolically abnormal fat of outpatient CR patients.

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          Most cited references21

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          Prevalence of Obesity Among Adults and Youth: United States, 2015-2016.

          Obesity is associated with serious health risks. Monitoring obesity prevalence is relevant for public health programs that focus on reducing or preventing obesity. Between 2003–2004 and 2013–2014, there were no significant changes in childhood obesity prevalence, but adults showed an increasing trend. This report provides the most recent national estimates from 2015–2016 on obesity prevalence by sex, age, and race and Hispanic origin, and overall estimates from 1999–2000 through 2015–2016.
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            Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence.

            E. Ford (2005)
            In recent years, several major organizations have endorsed the concept of the metabolic syndrome and developed working definitions for it. How well these definitions predict the risk for adverse events in people with the metabolic syndrome is only now being learned. The purpose of this study was to summarize the estimates of relative risk for all-cause mortality, cardiovascular disease, and diabetes reported from prospective studies in samples from the general population using definitions of the metabolic syndrome developed by the National Cholesterol Education Program (NCEP) and World Health Organization (WHO). The author reviewed prospective studies from July 1998 through August 2004. For studies that used the exact NCEP definition of the metabolic syndrome, random-effects estimates of combined relative risk were 1.27 (95% CI 0.90-1.78) for all-cause mortality, 1.65 (1.38-1.99) for cardiovascular disease, and 2.99 (1.96-4.57) for diabetes. For studies that used the most exact WHO definition of the metabolic syndrome, the fixed-effects estimates of relative risk were 1.37 (1.09-1.74) for all-cause mortality and 1.93 (1.39-2.67) for cardiovascular disease; the fixed-effects estimate was 2.60 (1.55-4.38) for coronary heart disease. These estimates suggest that the population-attributable fraction for the metabolic syndrome, as it is currently conceived, is approximately 6-7% for all-cause mortality, 12-17% for cardiovascular disease, and 30-52% for diabetes. Further research is needed to establish the use of the metabolic syndrome in predicting risk for death, cardiovascular disease, and diabetes in various population subgroups.
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              Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality.

              We hypothesized that subjects with a normal body mass index (BMI), but high body fat (BF) content [normal weight obesity (NWO)], have a higher prevalence of cardiometabolic dysregulation and are at higher risk for cardiovascular (CV) mortality. We analysed 6171 subjects >20 years of age from the Third National Health and Nutrition Examination Survey (NHANES III) and the NHANES III mortality study, whose BMI was within the normal range (18.5-24.9 kg/m(2)), and who underwent a complete evaluation that included body composition assessment, blood measurements, and assessment of CV risk factors. Survival information was available for >99% of the subjects after a median follow-up of 8.8 years. We divided our sample using sex-specific tertiles of BF%. The highest tertile of BF (>23.1% in men and >33.3% in women) was labelled as NWO. When compared with the low BF group, the prevalence of metabolic syndrome in subjects with NWO was four-fold higher (16.6 vs. 4.8%, P < 0.0001). Subjects with NWO also had higher prevalence of dyslipidaemia, hypertension (men), and CV disease (women). After adjustment, women with NWO showed a significant 2.2-fold increased risk for CV mortality (HR = 2.2; 95% CI, 1.03-4.67) in comparison to the low BF group. Normal weight obesity, defined as the combination of normal BMI and high BF content, is associated with a high prevalence of cardiometabolic dysregulation, metabolic syndrome, and CV risk factors. In women, NWO is independently associated with increased risk for CV mortality.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                05 December 2019
                December 2019
                : 8
                : 12
                : 2147
                Affiliations
                Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; mibarillas@ 123456ufm.edu (M.I.B.L.); koepp.katlyn@ 123456mayo.edu (K.E.K.); medinainojosa.jose@ 123456mayo.edu (J.R.M.I.); squires.ray@ 123456mayo.edu (R.W.S.); lopez@ 123456mayo.edu (F.L.-J.); olson.thomas2@ 123456mayo.edu (T.P.O.)
                Author notes
                [* ]Correspondence: bonikowske.amanda@ 123456mayo.edu ; Tel.: +1-507-284-4441
                Author information
                https://orcid.org/0000-0001-9317-4330
                https://orcid.org/0000-0001-5990-2891
                https://orcid.org/0000-0001-8705-0462
                Article
                jcm-08-02147
                10.3390/jcm8122147
                6947316
                31817309
                7302a4ca-42a7-4289-ba6d-6cfdc2f35576
                © 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
                : 30 October 2019
                : 02 December 2019
                Categories
                Article

                body mass index,cardiac rehabilitation,fat mass index,metabolic syndrome

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