Use of the Human Activity Profile for estimating fitness in persons with arthritis
Article first published online: 25 APR 2008
Copyright © 2008 by the American College of Rheumatology
Arthritis Care & Research
Volume 59, Issue 5, pages 659–664, 15 May 2008
How to Cite
Bilek, L. D., Venema, D. M., Willett, G. M. and Lyden, E. R. (2008), Use of the Human Activity Profile for estimating fitness in persons with arthritis. Arthritis & Rheumatism, 59: 659–664. doi: 10.1002/art.23572
- Issue published online: 25 APR 2008
- Article first published online: 25 APR 2008
- Manuscript Accepted: 19 NOV 2007
- Manuscript Received: 12 JUN 2007
- George Blanton Research Grant Program of the Nebraska Foundation for Physical Therapy
- New Investigator Award from the Arthritis Foundation
To evaluate the usefulness of the Human Activity Profile (HAP) in predicting estimated maximal oxygen uptake (VO2max) in persons with arthritis and to evaluate the ability of 2 classification systems to distinguish individuals with arthritis who have poor fitness from those with average and above fitness.
Forty-four subjects with arthritis completed the HAP and a submaximal treadmill test. The adjusted activity score (AAS) was derived from responses on the HAP. VO2max was estimated from the submaximal treadmill test. The ability of the AAS and age to predict estimated VO2max was determined with multiple regression analysis. Subjects were also assigned to a fitness category based on their AAS and estimated VO2max, and agreement of these categories was assessed using the kappa statistic. Two classification systems were used, including one proposed by the original authors and one we proposed based on more recent normative data.
Sixty-six percent of the variance in estimated VO2max could be accounted for by the AAS and age. The kappa statistic for our proposed classification system was 0.35, indicating fair agreement, whereas the kappa statistic for the original classification system was incalculable. The sensitivity of the proposed classification system to identify persons with average and above fitness was 84%, with a specificity of 50%.
We suggest that the HAP is useful in estimating fitness level when standard exercise testing is not feasible.