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Establishing Australian impulse oscillometry system predictive equations from a community sample of non-smokers

Newbury, Wendy Lynne (2008). Establishing Australian impulse oscillometry system predictive equations from a community sample of non-smokers. Master Thesis, Charles Darwin University.

Document type: Thesis
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Author Newbury, Wendy Lynne
Title Establishing Australian impulse oscillometry system predictive equations from a community sample of non-smokers
Institution Charles Darwin University
Publication Date 2008
Thesis Type Master
Subjects 1117 - Public Health and Health Services
Abstract Background and Objectives:
Impulse Oscillometry (IOS) measures respiratory function during normal breathing by transmitting mixed frequency rectangular pressure impulses down the airways and measuring the resultant pressure and flow relationships which describe the mechanical parameters of the lungs. Computer analysis calculates respiratory impedance and its components, airways resistance and reactance, at a range of frequencies from 0.1Hz to 150Hz. The IOS software generates predictive normal values for each of the parameters measured including total airway resistance (R5), the proximal airway resistance (R20) as well as peripheral capacitive reactance (X5) however these are based on German data. No previous Australian normative data exists.

Methods:
Cross-sectional study of 100 community dwelling adults, with 10 males and females per 10-year cohort. Inclusion criteria: age range 25-74 years, apparently good respiratory health. Exclusion criteria: smokers, asthmatics and others with acute or chronic respiratory disease. Both IOS and spirometry were conducted on all participants.

Results:
Australian predictive normal equations have been generated and compared to the current published equations. The IOS parameters have been correlated with the spirometric data. Results have been analysed by gender, age, height and weight and compared with the predicted normal values for each parameter provided by the German manufacturer of the IOS instrument. Results given include calculation of mean, range, and SD.

Conclusions:
A preliminary set of Australian predictive equations have now been produced for the IOS. These have been compared with international equations. IOS has potential application in a range of respiratory disease states and in population screening for occupational health (e.g. mining, & high dust load environments).


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Created: Mon, 31 Aug 2015, 08:36:42 CST by Jessie Ng