Literature DB >> 19568203

Characterizing differences in mortality at the low end of the fitness spectrum.

Sandra Mandic1, Jonathan N Myers, Ricardo B Oliveira, Joshua P Abella, Victor F Froelicher.   

Abstract

PURPOSE: A graded nonlinear relationship exists between fitness and mortality with the most remarkable difference in mortality rates observed between the least-fit (first, Q1) and the next-least-fit (second, Q2) quintile of fitness. The purpose of this study was to compare clinical characteristics, exercise test responses, and physical activity patterns in Q1 versus Q2 in apparently healthy individuals.
METHODS: A total of 4384 subjects referred for clinical treadmill testing from 1986 to 2006 were followed for a mean +/- SD period of 8.7 +/- 5.3 yr. All subjects had normal exercise ECG responses and no history of cardiovascular disease. Subjects were classified into quintiles of exercise capacity measured in METs. Clinical characteristics, physical activity patterns, and treadmill test results were compared between the first two quintiles (Q1: METs <5.9 (n = 693); Q2: METs 6.0-7.9 (n = 842)).
RESULTS: Small differences in age (64 +/- 11 vs 60 +/- 10 yr, P < 0.001), use of antihypertensive medications, prevalence of diabetes (21% vs 16%, P = 0.02), and dyslipidemia (43% vs 49%, P = 0.04) were observed between Q1 and Q2. When the Cox proportional hazards model was adjusted for age and other clinical characteristics, the relative risk of mortality remained almost two times greater in Q1 versus Q2 (cardiovascular mortality: HR: 4.01 vs 2.01, P < 0.001; reference group: fittest subjects (Q5)). In a subset of 802 subjects, recent recreational physical activity was significantly lower in Q1 versus Q2.
CONCLUSIONS: Reduced physical activity patterns rather than differences in clinical characteristics contribute to the striking difference in mortality rates between the least-fit and the next-least-fit quintile of fitness in healthy individuals.

Entities:  

Mesh:

Year:  2009        PMID: 19568203     DOI: 10.1249/MSS.0b013e31819ca063

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  4 in total

1.  Low lifetime recreational activity is a risk factor for peripheral arterial disease.

Authors:  Andrew M Wilson; Amir H Sadrzadeh-Rafie; Jonathan Myers; Themistocles Assimes; Kevin T Nead; Mamie Higgins; Andre Gabriel; Jeffrey Olin; John P Cooke
Journal:  J Vasc Surg       Date:  2011-06-12       Impact factor: 4.268

2.  Obesity paradox and cardiorespiratory fitness in 12,417 male veterans aged 40 to 70 years.

Authors:  Paul A McAuley; Peter F Kokkinos; Ricardo B Oliveira; Brian T Emerson; Jonathan N Myers
Journal:  Mayo Clin Proc       Date:  2010-02       Impact factor: 7.616

3.  Leukocyte telomere length in healthy Caucasian and African-American adolescents: relationships with race, sex, adiposity, adipokines, and physical activity.

Authors:  Haidong Zhu; Xiaoling Wang; Bernard Gutin; Catherine L Davis; Daniel Keeton; Jeffrey Thomas; Inger Stallmann-Jorgensen; Grace Mooken; Vanessa Bundy; Harold Snieder; Pim van der Harst; Yanbin Dong
Journal:  J Pediatr       Date:  2010-09-19       Impact factor: 4.406

4.  Proportion of adults achieving sufficient physical activity increases in South Australia, 1998 - 2010.

Authors:  Katherine Reta Devonshire-Gill; Kevin Ian Norton
Journal:  Popul Health Metr       Date:  2013-12-03
  4 in total

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