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J Cardiopulm Rehabil Prev. 2013 Sep-Oct;33(5):309-13. doi: 10.1097/HCR.0b013e3182a0297e.

Age-specific normal values for the incremental shuttle walk test in a healthy British population.

Author information

1
Pulmonary Rehabilitation Research Group, University Hospitals of Leicester National Health Service Trust, Glenfield Hospital, Leicester, United Kingdom. samantha.harrison@uhl-tr.nhs.uk

Abstract

PURPOSE:

The Incremental Shuttle Walk Test (ISWT) is an important functional and prognostic marker in chronic disease. Aging has a detrimental effect on exercise performance. The objective of this study was to produce normal age-specific values for the ISWT in a healthy British population and to explore whether additional variables improve the accuracy of a predictive equation.

METHODS:

Healthy subjects (N = 152), aged 40 to 90 years, were recruited. Data collection occurred over 2 study visits. Anthropometric and demographic data were collected, and lung function and quadriceps maximal voluntary contraction were measured. An accelerometer was worn for 2 consecutive days at home. The Duke Activity Status Index was completed, and the greatest distance from 2 ISWTs was recorded.

RESULTS:

One hundred forty subjects (56 men) with mean age (SD) of 59.4 (11.0) years completed 2 ISWTs. Forced expiratory volume in 1 second (FEV(1)) was 109.1% (14.56%) predicted and ISWT distance was 737 m (183 m). Age-specific normal values for the ISWT were observed: mean (lower limit of normal)--40 to 49 years, 824 m (765 m); 50 to 59 years, 788 m (730 m); 60 to 69 years, 699 m (649 m); and 70 years and older, 633 m (562 m). A predictive equation was developed from 114 subjects. Age, body mass index, FEV(1), quadriceps maximal voluntary contraction, and Duke Activity Status Index contributed to ISWT distance predicting 50.4% of the variation in performance.

CONCLUSION:

We have developed age-specific normal values for performance on the ISWT in a healthy British population. However, even using practical, clinically relevant variables, it is not possible to accurately predict exercise capacity from a regression equation.

PMID:
23959208
DOI:
10.1097/HCR.0b013e3182a0297e
[Indexed for MEDLINE]
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