Skip to Content
Interactive Textbook on Clinical Symptom Research Logo


Home Button

Clinical Research on Dyspnea
Author Bios
What is Dyspnea?
What Provokes Dyspnea?
The Nature of Dyspnea
Currently selected section: Language of Dyspnea
Clinical Application
Research Application
Variability in Sensations
Challenges in Study
Mechanical Loads and Sense of Effort
Chemoreceptors
Mechanoreceptors
Neuro-Mechanical Dissociation
Phase of Respiration and Dyspnea
Physiology of Dyspnea
Respiratory System
Cardiovascular System
Measuring Dyspnea
Scaling Issues
Qualitative Aspects
Reliability and Validity Overview
Reliability and Validity
Sensitivity and Specificity
Scales
Sensation vs. Perception vs. Symptom
Treating Dyspnea
Why Measure?
Cluster Analysis
Statistical vs. Clinical Significance
Standard Error of Measurement
Measuring Fatigue
Measuring Depression
Measuring Anxiety and Hyperventilation
Measuring Quality of Life
Conclusion

 

Chapter 23: Assessing Desirability of Outcome Stats: Language of Dyspnea
        

Question 4.3

Using a dyspnea questionnaire, if you asked patients with cardiopulmonary disorders about the quality of their breathing discomfort, would you find relationships between groups of words and the medical conditions, as are found when inquiring about pain?

Selection: Yes          Selection: No    

Table 4.4: Clusters associated with particular conditions leading to breathing discomfort.
Clusters Descriptors Vasc Neuro CHF Preg Inters Asthma COPD
1.In
1
X
X
 
 
 
  
 
2. Deep
6
 
 
 
X
 
X
 
3. Stops
11
 
 
 
 
 
 
 
4. Gasping
12
 
X
 
 
X
 
X
5. Rapid
14
X
 
X
 
 
 
 
6. More
16
 
 
 
 
 
 
 
7. Exhalation
18
 
 
 
 
 
 
8. Concentration
19
 
 
 
 
 
X
 
9. Suffocating
3, 10
 
 
X
 
 
 
 
10. Hunger
4, 7, 17
 
 
X
X
 
 
X
11. Heavy
2, 5
 
X
X
 
 
X
X
12. Effort
2, 7, 9
 
X
 
X
X
 
X
13. Tight
8, 13
 
 
 
 
 
X
 
14. Shallow
9,15
X
X
Vasc = pulmonary vascular disease
Neuro = neuromuscular disease
Preg = pregnancy
Inters = interstitial disease
Official journal of the American Thoracic Society. © American Lung Association. Reprinted with permission.

This table of clusters associated with particular condition illustrates that the features of multiplicity, uniqueness, and sharing that characterized the associations of particular descriptive words with pain syndromes are also present with respect to the phrases chosen for breathing discomfort in these conditions. Although cross-cultural studies of the language of dyspnea remain to be done, the data from the United States (Simon et al., 1990) and the United Kingdom (Elliott et al., 1991) show surprising similarities. Having developed a rudimentary vocabulary of dyspnea, investigators can now apply the language to help increase our understanding of the symptom.

 

Page 9 of 47
      Previous Page