4.4 Article

Inter-test reliability for non-invasive measures of respiratory muscle function in healthy humans

Journal

EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
Volume 91, Issue 2-3, Pages 167-176

Publisher

SPRINGER
DOI: 10.1007/s00421-003-0984-2

Keywords

pulmonary function tests; reliability of results

Ask authors/readers for more resources

The aims of this study were to quantify the inter-test reliability of several voluntary, non-invasive measures of respiratory muscle function and to determine the implications of these data for studies using a repeated-measures design. Systematic measurement differences were found for 50% of the variables (Pless than or equal to0.05, t-tests). Nevertheless, 95% ratio limits of agreement for most measures proved acceptable and similar to those reported elsewhere. The random error component of the agreement ratios ranged from 1.047 to 1.149 for measures of pulmonary function in healthy subjects (n=46), 1.045 to 1.056 for maximum static respiratory pressures (n=24), 1.062 to 1.173 for measures relating to the maximum pressure-flow-power relationship (n=16-22), and 1.036 to 1.071 for measures relating to maximum incremental inspiratory muscle performance (n=12). The judgement that the limits of agreement were acceptable is supported by the sample-size calculations. Estimated sample sizes based upon an alpha level of 0.05 and a statistical power of 0.9 were mostly less than or equal to11 for a repeated-measures experimental design, particularly for the larger effect sizes (greater than or equal to5%). However, peak expiratory flow, the maximum rate of pressure development and the time constant of relaxation, require larger sample sizes to detect small within-group changes. In conclusion, the described protocols provide reliable measurements for most parameters of respiratory muscle function in healthy subjects. Furthermore, experiments utilising a within-subjects design lasting up to 3 weeks can be conducted with feasible sample sizes (less than or equal to11 per group) where substantial (greater than or equal to5%) changes are expected.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available