Literature DB >> 21820133

Fatness, fitness, and cardiometabolic risk factors in middle-aged white men.

Gary O'Donovan1, Edward Kearney, Roy Sherwood, Melvyn Hillsdon.   

Abstract

The objective was to test the hypothesis that traditional and novel cardiometabolic risk factors would be significantly different in groups of men of different fatness and fitness. Total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, glucose, insulin, high-sensitivity C-reactive protein, alanine aminotransferase, aspartate aminotransferase, γ-glutamyltransferase, leptin, adiponectin, tumor necrosis factor-α, interleukin-6, interleukin-10, fibrinogen, and insulin resistance were assessed in 183 nonsmoking white men aged 35 to 53 years, including 62 who were slim and fit (waist girth ≤90 cm and maximal oxygen consumption [VO(2)max] above average), 24 who were slim and unfit (waist girth ≤90 cm and VO(2)max average or below), 39 who were fat and fit (waist girth ≥100 cm and VO(2)max above average), and 19 who were fat and unfit (waist girth ≥100 cm and VO(2)max average or below). Seventy-six percent gave blood on 2 occasions, and the average of 1 or 2 blood tests was used in statistical tests. Waist girth (centimeters) and fitness (milliliters of oxygen per kilogram of fat-free mass) were associated with high-density lipoprotein cholesterol, leptin, and insulin resistance after adjustment for age, saturated fat intake, and total energy intake. High-density lipoprotein cholesterol, triglycerides, alanine aminotransferase, and insulin resistance were significantly different in men who were fat and fit and those who were fat and unfit. These data suggest that differences in lipid and lipoprotein concentrations, liver function, and insulin resistance may explain why the risks of chronic disease are lower in men who are fat and fit than those who are fat and unfit.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21820133     DOI: 10.1016/j.metabol.2011.06.009

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  8 in total

1.  Impact of fitness versus obesity on routinely measured cardiometabolic risk in young, healthy adults.

Authors:  Michael N Vranian; Tanya Keenan; Michael J Blaha; Michael G Silverman; Erin D Michos; C Michael Minder; Roger S Blumenthal; Khurram Nasir; Romeu S Meneghelo; Raul D Santos
Journal:  Am J Cardiol       Date:  2013-01-19       Impact factor: 2.778

Review 2.  Sex-specific differences in hypertension and associated cardiovascular disease.

Authors:  Katrina M Mirabito Colafella; Kate M Denton
Journal:  Nat Rev Nephrol       Date:  2018-01-30       Impact factor: 28.314

3.  Association of Fitness With Incident Dyslipidemias Over 25 Years in the Coronary Artery Risk Development in Young Adults Study.

Authors:  Mark A Sarzynski; John M Schuna; Mercedes R Carnethon; David R Jacobs; Cora E Lewis; Charles P Quesenberry; Stephen Sidney; Pamela J Schreiner; Barbara Sternfeld
Journal:  Am J Prev Med       Date:  2015-07-10       Impact factor: 6.604

4.  Association Between Visceral Fat Accumulation and Exercise Tolerance in Non-Obese Subjects Without Diabetes.

Authors:  Miki Shioya-Yamada; Kazunori Shimada; Miho Nishitani-Yokoyama; Eiryu Sai; Kageumi Takeno; Yoshifumi Tamura; Hirotaka Watada; Ryuzo Kawamori; Hiroyuki Daida; Sachio Kawai
Journal:  J Clin Med Res       Date:  2018-06-27

5.  Does cardiorespiratory fitness modify the association between birth weight and insulin resistance in adult life?

Authors:  Tomoko Aoyama; Kazuyo Tsushita; Nobuyuki Miyatake; Takeyuki Numata; Motohiko Miyachi; Izumi Tabata; Zhen-Bo Cao; Shizuo Sakamoto; Mitsuru Higuchi
Journal:  PLoS One       Date:  2013-09-17       Impact factor: 3.240

6.  A cross-sectional study of low physical fitness, self-rated fitness and psychosocial factors in a sample of Finnish 18- to 64-year-old men.

Authors:  Karoliina S Kaasalainen; Kirsti Kasila; Jari Villberg; Jyrki Komulainen; Marita Poskiparta
Journal:  BMC Public Health       Date:  2013-12-01       Impact factor: 3.295

7.  The association between recreational screen time and cancer risk: findings from the UK Biobank, a large prospective cohort study.

Authors:  Ruth F Hunter; Jennifer M Murray; Helen G Coleman
Journal:  Int J Behav Nutr Phys Act       Date:  2020-08-03       Impact factor: 6.457

8.  What is the most effective exercise protocol to improve cardiovascular fitness in overweight and obese subjects?

Authors:  Eliane Aparecida Castro; Ana Belén Peinado; Pedro Jose Benito; Mercedes Galindo; Marcela González-Gross; Rocío Cupeiro
Journal:  J Sport Health Sci       Date:  2016-04-21       Impact factor: 7.179

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.