Full description
Description: Chronic respiratory diseases (CRDs) decrease lung function by causing changes to the airways and other structures of the lungs. Lung function is objectively measured using spirometry and high-test quality maximises its diagnostic utility. The aims of this systematic review were to determine the overall percentage of acceptability and repeatability (AR) across a broad range of study designs and participant cohorts in the published literature and to determine which factors influence this component of spirometry quality using a generalised linear model.
This data record contains:
- 1x .xlsx file containing extracted data parameters and an explanation of the codes used
- 1x .cvs file containing codes used for data analysis
Software/equipment used to create/collect the data:
- Microsoft Excel for Microsoft 365
- Systematic Review Accelerator (SRA) tools (Clark et al., 2020)
Software/equipment used to manipulate/analyse the data:
- SPSS Statistics v30 (IBM, Denmark)
- Risk of Bias Summary tables and plots were generated using the Risk-of-bias VISualization (robvis) tool (McGuinness & Higgins, 2021)
Created: 2025-02-19
Data time period: 03 03 2022 to 31 01 2025
Spatial Coverage And Location
text: Townsville, Queensland, Australia
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- DOI : 10.25903/RWY1-3X45
- Local : researchdata.jcu.edu.au//published/a4148b90eccf11ef8ba5bddfe268d013