Table of Contents Author Guidelines Submit a Manuscript
Journal of Aging Research
Volume 2012, Article ID 518045, 6 pages
Research Article

Assessment of Cardiorespiratory Fitness without Exercise in Elderly Men with Chronic Cardiovascular and Metabolic Diseases

1Department of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, 20550-900 Rio de Janeiro, RJ, Brazil
2Laboratory of Physical Activity and Health Promotion, Institute of Physical Education and Sports, Rio de Janeiro State University, Rua São Francisco Xavier 524/Sala 8121F, Maracanã, 20550-900 Rio de Janeiro, RJ, Brazil
3Division of Social Medicine, Karolinska Institute, Norrbacka, 171 76 Stockholm, Sweden
4Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, 415 Lane Rd Charlottesville, VA 22908, USA
5Physical Activity Sciences Graduate Program, Salgado de Oliveira University, Niterói, RJ, Brazil

Received 11 July 2011; Revised 19 September 2011; Accepted 20 September 2011

Academic Editor: Antony Bayer

Copyright © 2012 Geraldo A. Maranhão Neto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Low cardiorespiratory (CRF) is associated with health problems in elderly people, especially cardiovascular and metabolic disease. However, physical limitations in this population frequently preclude the application of aerobic tests. We developed a model to estimate CRF without aerobic testing in older men with chronic cardiovascular and metabolic diseases. Subjects aged from 60 to 91 years were randomly assigned into validation (n=67) and cross-validation (n=29) groups. A hierarchical linear regression model included age, self-reported fitness, and handgrip strength normalized to body weight (R2=0.79; SEE = 1.1 METs). The PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage in relation to the original model and that predicted by the model and actual CRF correlated well in the cross-validation group (r=0.85). The area under curve (AUC) values suggested a good accuracy of the model to detect disability in the validation (0.876, 95% CI: 0.793–0.959) and cross-validation groups (0.826, 95% CI: 0.677–0.975). Our findings suggest that CRF can be reliably estimated without exercise test in unhealthy elderly men.