Breathing pattern components show high reliability in healthy adults across postural variations.
Key metrics of breathing patterns are consistently measurable in healthy individuals, regardless of whether they are sitting or lying down.
ePrints Soton (University of Southampton) · 2018
Key Findings
- 01Breathing pattern components demonstrated good relative reliability and no systematic bias in both sitting and supine positions in healthy adults.
- 02Test-retest reliability was slightly higher in the sitting position compared to the supine position.
- 03Thoracoabdominal motion (TAM) did not significantly change post-exercise and showed low correlation with timing components.
- 04No consistent changes in timing components or TAM were observed after breathing retraining in participants with asthma.
Application
Design takeaway
When designing health monitoring systems or rehabilitation tools, prioritize measurement protocols that ensure high reliability, such as standardized resting positions (e.g., sitting).
How to apply
In a design project developing a wearable respiratory monitor, ensure the device's algorithms are validated for reliability across different user postures and activity levels.
Project actions
- 01When designing a project that measures breathing, consider how posture might affect your results and aim for consistent measurement conditions.
- 02If your project aims to show an intervention works, you need to be sure your measurements are reliable first, and then look for significant changes.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Investigated reliability and responsiveness, addressing a gap in existing research.
- +Used objective measurement tools (RIP and SLP).
Limitations
The study's findings on responsiveness were mixed, and the small sample size for the asthma group limits generalizability.
Reliability & validity
The study establishes good relative reliability for breathing pattern components in healthy adults, suggesting high consistency in measurements. However, the findings on responsiveness are less conclusive, indicating potential limitations in the validity of these measures for detecting intervention effects in all scenarios.
Think critically
Given the mixed findings on responsiveness, how can designers ensure their interventions are truly effective and not just showing measurement noise?
Design Principles
"Ensure measurement consistency and minimize variability when assessing physiological parameters."
Understanding the reliability of breathing pattern measurements is crucial for developing accurate diagnostic tools and evaluating the effectiveness of interventions. This insight supports the use of breathing pattern analysis in design projects focused on health monitoring and rehabilitation, ensuring that observed changes are due to interventions rather than measurement variability.
What This Means for Your Design
This study found that measuring how people breathe is very reliable in healthy people, whether they are sitting up or lying down. However, it wasn't as clear if these measurements could reliably show if an exercise or a breathing exercise actually made a difference, especially for people with asthma.
How to use in your project
- 1.Reference this study to justify the reliability of breathing pattern measurements in your design project, especially if it involves user testing in different positions.
Add to My Project
Quick Cite
(2018). The reliability and responsiveness of components of breathing pattern. ePrints Soton (University of Southampton). Retrieved from https://designdex.org/study/cb508070-52c3-4a4a-9db0-6682b030fcec/breathing-pattern-components-show-high-reliability-in-healthy-adults-across-postural-variations
Paragraph starter
This research demonstrates that key components of breathing patterns exhibit good test-retest reliability in healthy adults across different postural conditions (sitting and supine). This suggests that when designing user interfaces or systems that monitor respiratory function, designers can rely on consistent measurements from healthy users, provided measurement protocols are standardized.
Source
ePrints Soton (University of Southampton)
The reliability and responsiveness of components of breathing pattern
journal · 2018
View sourceQuestions about this research
- What does the research say about breathing pattern components show high reliability in healthy adults across postural variations?
- When designing health monitoring systems or rehabilitation tools, prioritize measurement protocols that ensure high reliability, such as standardized resting positions (e.g., sitting). Evidence: ePrints Soton (University of Southampton) (2018).
- Why does "Breathing pattern components show high reliability in healthy adults across postural variations." matter for design?
- Understanding the reliability of breathing pattern measurements is crucial for developing accurate diagnostic tools and evaluating the effectiveness of interventions. This insight supports the use of breathing pattern analysis in design projects focused on health monitoring and rehabilitation, ensuring that observed changes are due to interventions rather than measurement variability.
- How can designers apply this research?
- When designing health monitoring systems or rehabilitation tools, prioritize measurement protocols that ensure high reliability, such as standardized resting positions (e.g., sitting).
- What were the main findings?
- Breathing pattern components demonstrated good relative reliability and no systematic bias in both sitting and supine positions in healthy adults.. Test-retest reliability was slightly higher in the sitting position compared to the supine position.. Thoracoabdominal motion (TAM) did not significantly change post-exercise and showed low correlation with timing components.. No consistent changes in timing components or TAM were observed after breathing retraining in participants with asthma.
- What research method was used?
- Experimental study with multiple components with 98 participants (50 healthy in study 1, 43 healthy in study 2, 5 with asthma in study 3).
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2018 journal from ePrints Soton (University of Southampton).
- What should I do differently in my next project?
- In a design project developing a wearable respiratory monitor, ensure the device's algorithms are validated for reliability across different user postures and activity levels.
- What are the limitations?
- Responsiveness findings were not consistently significant or patterned, especially for the asthma group and post-exercise in healthy individuals. The sample size for the asthma group was very small.
- Is there evidence that breathing pattern affects design outcomes?
- Breathing patterns are reliably measured in healthy people, especially when sitting. While some breathing metrics change with exercise, these changes aren't always significant or predictable, and breathing retraining didn't show consistent improvements in asthma patients. Understanding the reliability of breathing patt Source: ePrints Soton (University of Southampton) (2018).
- Where does this high reliability research apply?
- Respiratory health monitoring and intervention evaluation It sits within human factors research on designdex.org.
Related research topics
breathing pattern design research · evidence on breathing pattern · does breathing pattern improve design outcomes · high reliability studies for designers · breathing pattern and high reliability findings · human factors research evidence