Z Li1, W L Leite2, L A Thompson3, H E Gross4, E A Shenkman5, B B Reeve4,6, D A DeWalt4,7, I-C Huang8. 1. College of Nursing and Health Professions, Valparaiso University, Valparaiso, IN, USA. 2. School of Human Development and Organizational Studies in Education, College of Education, University of Florida, Gainesville, FL, USA. 3. Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, USA. 4. Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 5. Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, USA. 6. Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 7. Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 8. Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.
Abstract
BACKGROUND: How the longitudinal asthma control status and other socio-demographic factors influence the changes of health-related quality of life (HRQOL) among asthmatic children, especially from low-income families, has not been fully investigated. OBJECTIVES: This study aimed to describe the trajectories of asthma-specific HRQOL over 15 months and examine the effect of asthma control status on HRQOL by taking socio-demographic factors into consideration. METHODS: A total of 229 dyads of asthmatic children and their parents enroled in public insurance programs were recruited for assessing asthma control status and HRQOL over four time points of assessment. Asthma control status was measured using the Asthma Control and Communication Instrument, and asthma-specific HRQOL was assessed using the Patient-Reported Outcomes Measurement Information System's Pediatric Asthma Impact Scale. Latent growth models (LGMs) were applied to examine the trajectory of HRQOL and the factors contributing to the changes of HRQOL. RESULTS: Unconditional LGM revealed that HRQOL was improved over time. Conditional LGM suggested that accounting for asthma control and participants' socio-demographic factors, the variation in the initial level of HRQOL was significant, yet the rate of change was not. Conditional LGM also revealed that poorly controlled asthma status was associated with poor HRQOL at each time point (P's < 0.05). Lower parental education was associated with lower baseline HRQOL (P < 0.05). Hispanic children had a larger increase in HRQOL over time (P < 0.01) than non-Hispanic White children. CONCLUSIONS: Vulnerable socio-demographic characteristics and poorly controlled asthma status affect HRQOL in children. This finding encourages interventions to improve asthma control status and HRQOL in minority children.
BACKGROUND: How the longitudinal asthma control status and other socio-demographic factors influence the changes of health-related quality of life (HRQOL) among asthmatic children, especially from low-income families, has not been fully investigated. OBJECTIVES: This study aimed to describe the trajectories of asthma-specific HRQOL over 15 months and examine the effect of asthma control status on HRQOL by taking socio-demographic factors into consideration. METHODS: A total of 229 dyads of asthmatic children and their parents enroled in public insurance programs were recruited for assessing asthma control status and HRQOL over four time points of assessment. Asthma control status was measured using the Asthma Control and Communication Instrument, and asthma-specific HRQOL was assessed using the Patient-Reported Outcomes Measurement Information System's Pediatric Asthma Impact Scale. Latent growth models (LGMs) were applied to examine the trajectory of HRQOL and the factors contributing to the changes of HRQOL. RESULTS: Unconditional LGM revealed that HRQOL was improved over time. Conditional LGM suggested that accounting for asthma control and participants' socio-demographic factors, the variation in the initial level of HRQOL was significant, yet the rate of change was not. Conditional LGM also revealed that poorly controlled asthma status was associated with poor HRQOL at each time point (P's < 0.05). Lower parental education was associated with lower baseline HRQOL (P < 0.05). Hispanic children had a larger increase in HRQOL over time (P < 0.01) than non-Hispanic White children. CONCLUSIONS: Vulnerable socio-demographic characteristics and poorly controlled asthma status affect HRQOL in children. This finding encourages interventions to improve asthma control status and HRQOL in minority children.
Authors: Michael Seid; Christine A Limbers; Kimberly A Driscoll; Lisa A Opipari-Arrigan; Leticia Reyes Gelhard; James W Varni Journal: J Asthma Date: 2010-03 Impact factor: 2.515
Authors: Jin-Shei Lai; Brian D Stucky; David Thissen; James W Varni; Esi Morgan DeWitt; Debra E Irwin; Karin B Yeatts; Darren A DeWalt Journal: Qual Life Res Date: 2013-02-02 Impact factor: 4.147
Authors: Debra E Irwin; Brian D Stucky; David Thissen; Esi Morgan Dewitt; Jin Shei Lai; Karin Yeatts; James W Varni; Darren A DeWalt Journal: Qual Life Res Date: 2010-03-05 Impact factor: 4.147
Authors: Giselle Mosnaim; Hong Li; Molly Martin; Dejuran Richardson; Paula Jo Belice; Elizabeth Avery; Norman Ryan; Bruce Bender; Lynda Powell Journal: Ann Allergy Asthma Immunol Date: 2013-12-21 Impact factor: 6.347
Authors: I-Chan Huang; Elizabeth A Shenkman; Walter Leite; Caprice A Knapp; Lindsay A Thompson; Dennis A Revicki Journal: J Clin Epidemiol Date: 2008-10-01 Impact factor: 6.437
Authors: Patrick Fox; Patricia G Porter; Sibylle H Lob; Jennifer Holloman Boer; David A Rocha; Joel W Adelson Journal: Pediatrics Date: 2007-10 Impact factor: 7.124
Authors: Chris Gillette; Delesha M Carpenter; Guadalupe X Ayala; Dennis M Williams; Stephanie Davis; Gail Tudor; Karin Yeatts; Betsy Sleath Journal: Clin Pediatr (Phila) Date: 2013-10-17 Impact factor: 1.168