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This research was supported by the Canadian Institutes of Health Research and the Human Early Learning Partnership.
This study examined longitudinal associations of asthma management-related beliefs and behaviors with changes in asthma-relevant biological markers in a sample of 43 children with asthma. Children (M age = 12.4, 75% male) and parents were interviewed about asthma management beliefs and behaviors. Asthma outcomes included lung function (FEV1%), eosinophil counts, and daily cortisol measured at two time points, 18 months apart. Children with a less sophisticated disease belief (termed the “no symptoms, no asthma” belief) displayed eosinophil counts that increased over time, controlling for baseline levels. Poorer family asthma management was associated with increasing eosinophil counts over time. Poorer child asthma management was associated with cortisol output that declined over time. Further, families who reported poorer collaboration with their physician had children who displayed worsening lung function over time. These findings suggest that interventions aimed at teaching families better asthma management approaches and more accurate disease beliefs may have the potential to alter biological profiles in children with asthma.
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Akinbami, L. J. (2006). The state of childhood asthma, United States, 1980–2005. Advance data from vital and health statistics: no 381, revised December 29, 2006. Hyattsville, MD: National Center for Health Statistics.
Asthma Society of Canada. (2005). Asthma facts & statistics. http://www.asthma.ca/corp/newsroom/pdf/asthmastats.pdf. Retrieved February 18, 2009.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
DeFrances, C. J., Cullen, K. A., & Kozak, L. J. (2007). National hospital discharge survey: 2005 annual summary with detailed diagnosis and procedure data. Vital Health Statistics, 13, 165.
Garner, R., & Kohen, D. (2008). Changes in the prevalence of asthma among Canadian children. Health Reports, 19, 45–50. PubMed
Guendelman, S., Meade, K., Benson, M., Chen, Y. Q., & Samuels, S. (2002). Improving asthma outcomes and self-management behaviors of inner-city children: A randomized trial of the health buddy interactive device and an asthma diary. Archives of Pediatric & Adolescent Medicine, 156, 114–120.
Janeway, C. A., Jr., Travers, P., Walport, M., & Shlomchik, M. (2001). Immunobiology: the immune system in health and disease (5th ed.). New York: Garland Publishing.
Leventhal, H., Brissette, I., & Leventhal, E. A. (2003). The common-sense model of self-regulation of health and illness. In L. D. Cameron & H. Leventhal (Eds.), The self-regulation of health and illness behaviour (pp. 42–65). London: Routledge.
MacArthur Research Network on Socioeconomic Status and Health. (2000). Salivary cortisol measurement. www.macses.ucsf.edu/Research/Allostatic/notebook/salivarycort.html. Retrieved March 18, 2009.
Sockrider, M. M., Abramson, S., Brooks, E., Caviness, C., Pilney, S., Koerner, C., et al. (2006). Delivering tailored asthma family education in a pediatric emergency department setting: A pilot study. Pediatrics, 117, S135–S144. PubMed
Szefler, S. J., Ando, R., CiCutto, L. C., Surs, W., Hill, M. R., & Martin, R. J. (1991). Plasma histamine, epinephrine, cortisol, and leukocyte β-adrenergic receptors in nocturnal asthma. Clinical Pharmacology and Therapeutics, 49, 59–68. PubMed
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston, MA: Allyn and Bacon.
Zemek, R. L., Bhogal, S. K., & Ducharme, F. M. (2008). Systematic review of randomized controlled trials examining written action plans in children: What is the plan? Archives of Pediatric & Adolescent Medicine, 162, 157–163. CrossRef
- The impact of family asthma management on biology: a longitudinal investigation of youth with asthma
Hope A. Walker
- Springer US