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Illness Expectations and Asthma Symptoms: A 6-Month Longitudinal Study
Eleonora Volpato1,2,3, Valentina Poletti1,2, Paolo Banfi2
1Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Summary
Negative illness expectations in asthma correlate with worse symptoms and lung function decline. Understanding these cognitive frameworks is key for personalized asthma management.
Area of Science:
- Pulmonary Medicine
- Psychology
- Health Outcomes Research
Background:
- Illness Expectations (IEs) are beliefs about a condition's future course and symptoms.
- In chronic diseases like asthma, IEs can significantly influence patient outcomes and disease progression.
- This study investigates the impact of IEs on asthma symptoms and respiratory function.
Purpose of the Study:
- To empirically evaluate the influence of Illness Expectations (IEs) on asthma symptom severity.
- To assess the relationship between IEs and respiratory function in asthma patients.
- To explore the role of both explicit and implicit IEs in asthma management.
Main Methods:
- A 6-month longitudinal study followed 310 asthma patients across three assessment points.
- Asthma control was measured using the Asthma Control Test (ACT).
- Respiratory function was assessed via spirometry (FEV1), and IEs were measured using the Illness Expectation Test (IET).
- Latent growth modelling and linear regression analyses were employed.
Main Results:
- More negative explicit IEs were significantly associated with increased asthma symptoms over time (β = -0.50, p = 0.01).
- Explicit IEs regarding symptom progression predicted greater declines in lung function (FEV1) (β = 0.51, p = 0.001).
- Implicit IEs did not show a statistically significant association with asthma outcomes.
Conclusions:
- Illness Expectations, particularly explicit ones, are meaningfully linked to asthma symptom perception and lung function.
- These findings underscore the importance of cognitive frameworks in asthma management.
- Further research into interventions targeting IEs could lead to more personalized, patient-centered asthma care.
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