Literature DB >> 24943694

Cardiorespiratory fitness and the paradoxical BMI-mortality risk association in male veterans.

Peter Kokkinos1, Charles Faselis2, Jonathan Myers3, Andreas Pittaras2, Xuemei Sui4, Jiajia Zhang5, Paul McAuley6, John Peter Kokkinos7.   

Abstract

OBJECTIVE: To assess the effect of fitness status on the paradoxical body mass index (BMI)-mortality risk association. PATIENTS AND METHODS: From February 1, 1986, through December 30, 2011, we assessed fitness and BMI in 18,033 male veterans (mean age, 58.4 ± 11.4 years) in 2 Veterans Affairs Medical centers. We established 3 fitness categories on the basis of peak metabolic equivalents achieved during an exercise test as well as 5 BMI categories. The primary outcome was all-cause mortality.
RESULTS: During the follow-up period (median, 10.8 years, comprising a total of 207,168 person-years), 5070 participants (28%) died. After adjusting for age, risk factors, muscle-wasting diseases, medications, and year of entry, mortality risk was higher for individuals with a BMI of 20.1 to 23.9 kg/m(2) (hazard ratio [HR], 1.21; 95% CI, 1.12-1.30) and 18.5 to 20.0 kg/m(2) (HR, 1.56; 95% CI, 1.37-1.77) than for those with a BMI of 24.0 to 27.9 kg/m(2); mortality risk was not increased for those with a BMI of 28.0 kg/m(2) or greater. When stratified by fitness, the trend was similar for low-fit and moderate-fit individuals. However, mortality risk was not increased for high-fit individuals across BMI categories. When fitness status was considered within each BMI category, mortality risk increased progressively with decreased fitness and was more pronounced for moderate-fit (HR, 2.52; 95% CI, 2.06-3.08) and low-fit (HR, 2.48; 95% CI, 2.0-3.06) individuals with a BMI of 18.5-20.0 kg/m(2). Mortality risk was not significantly increased for high-fit individuals (HR, 1.17; 95% CI, 0.78-1.78; P=.45).
CONCLUSION: A high mortality risk associated with low BMI levels was observed only in moderate-fit and low-fit individuals, and not in high-fit individuals. Thus, fitness greatly affects the paradoxical BMI-mortality risk association. Furthermore, our findings indicate that lower BMI levels do not increase the risk for premature death as long as they are associated with high fitness. Thus, the paradoxically higher mortality risk observed with lower body weight as represented by lower BMI is likely the result of unhealthy reduction in body weight and, perhaps most importantly, considerable loss of lean body mass.
Copyright © 2014 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24943694     DOI: 10.1016/j.mayocp.2014.01.029

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  10 in total

Review 1.  Cardiometabolic-Based Chronic Disease, Addressing Knowledge and Clinical Practice Gaps: JACC State-of-the-Art Review.

Authors:  Jeffrey I Mechanick; Michael E Farkouh; Jonathan D Newman; W Timothy Garvey
Journal:  J Am Coll Cardiol       Date:  2020-02-11       Impact factor: 24.094

2.  Association between cardiorespiratory fitness, obesity, and incidence of atrial fibrillation.

Authors:  Shirit Kamil-Rosenberg; Peter Kokkinos; Christina Grune de Souza E Silva; Win Leth Shwe Yee; Joshua Abella; Khin Chan; Jonathan Myers
Journal:  Int J Cardiol Heart Vasc       Date:  2020-10-27

3.  Hyperglycaemia is associated with impaired muscle signalling and aerobic adaptation to exercise.

Authors:  Tara L MacDonald; Pattarawan Pattamaprapanont; Prerana Pathak; Natalie Fernandez; Ellen C Freitas; Samar Hafida; Joanna Mitri; Steven L Britton; Lauren G Koch; Sarah J Lessard
Journal:  Nat Metab       Date:  2020-07-20

4.  Body mass index and causes of death in chronic kidney disease.

Authors:  Sankar D Navaneethan; Jesse D Schold; Susana Arrigain; John P Kirwan; Joseph V Nally
Journal:  Kidney Int       Date:  2016-01-12       Impact factor: 10.612

Review 5.  Obesity or obesities? Controversies on the association between body mass index and premature mortality.

Authors:  Ottavio Bosello; Maria Pia Donataccio; Massimo Cuzzolaro
Journal:  Eat Weight Disord       Date:  2016-06       Impact factor: 4.652

6.  Sensitivity and Specificity Improvement in Abdominal Obesity Diagnosis Using Cluster Analysis during Waist Circumference Cut-Off Point Selection.

Authors:  Valmore Bermúdez; Joselyn Rojas; Juan Salazar; Roberto Añez; Alexandra Toledo; Luis Bello; Vanessa Apruzzese; Robys González; Maricarmen Chacín; Mayela Cabrera; Clímaco Cano; Manuel Velasco; José López-Miranda
Journal:  J Diabetes Res       Date:  2015-04-05       Impact factor: 4.011

7.  Development of a nomogram that predicts the risk for coronary atherosclerotic heart disease.

Authors:  Shuna Huang; Xiaoxu Xie; Yi Sun; Tingxing Zhang; Yingying Cai; Xingyan Xu; Huangyuan Li; Siying Wu
Journal:  Aging (Albany NY)       Date:  2020-05-18       Impact factor: 5.682

8.  Fitness, Fatness, and Mortality in Men and Women From the UK Biobank: Prospective Cohort Study.

Authors:  Jakob Tarp; Anders Grøntved; Miguel A Sanchez-Lastra; Knut Eirik Dalene; Ding Ding; Ulf Ekelund
Journal:  J Am Heart Assoc       Date:  2021-03-13       Impact factor: 5.501

9.  Run for your life: can exercise be used to effectively target GLUT4 in diabetic cardiac disease?

Authors:  Peter R T Bowman; Godfrey L Smith; Gwyn W Gould
Journal:  PeerJ       Date:  2021-05-25       Impact factor: 2.984

10.  BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants.

Authors:  Dagfinn Aune; Abhijit Sen; Manya Prasad; Teresa Norat; Imre Janszky; Serena Tonstad; Pål Romundstad; Lars J Vatten
Journal:  BMJ       Date:  2016-05-04
  10 in total

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