Objective: To estimate the extent to which symptom status, physical activity, beliefs about medications, self-efficacy, emotional status, and healthcare utilization predict perceived asthma control over a period of 16 months among a primary care population.
Methods: The current study is a secondary analysis of data from a longitudinal study that examined health outcomes of asthma among participants recruited from primary care clinics. Path analysis, based on the Wilson and Cleary and International Classification of Functioning, Disability and Health frameworks, was used to estimate the predictors of perceived asthma control.
Results: The path analysis identified initial perceived asthma control asthma (β = 0.43, p < 0.0001), symptoms (β = 0.35, p < 0.0001), physical activity (β = 0.27, p < 0.0001), and self-efficacy (β = 0.29, p < 0.0001) as significant predictors of perceived asthma control (total effects, i.e., direct and indirect), while emotional status (β = 0.08, p = 0.03) was a significant indirect predictor through physical activity. The model explained 24 % of the variance of perceived asthma control. Overall, the model fits the data well (χ (2) = 6.65, df = 6, p value = 0.35, root-mean-square error of approximation = 0.02, Comparative Fit Index = 0.999, and weighted root-mean-square residual = 0.27).
Conclusion: Initial perceived asthma control, current symptoms status, physical activity, and self-efficacy can be used to identify individuals likely to have good perceived asthma control in the future. Emotional status also has an impact on perceived asthma control mediated through physical activity and should be considered when planning patient management. Identifying these predictors is important to help the care team tailor interventions that will allow individuals to optimally manage their asthma, to prevent exacerbations, to prevent other respiratory-related chronic disease, and to maximize quality of life.