Quality of Life Estimation with Structural Equation Modeling in School Aged Children with Asthma

Significant increases in childhood asthma prevalence and mortality has prompted federal and regulatory agencies to work towards a national framework to address childhood asthma. Quality of life is an important component of chronic disease, and the evaluation of healthcare outcomes. There is little discussion in the literature regarding the implications of QoL as a theoretical construct. This study determined the effect of asthma on the QoL of our study population and caregiver’s missed workdays on the child’s QoL scores. A negative relationship was found between the child’s QoL and the caregiver’s missed workdays due to their child’s asthma. The use of SEM and multiple group analysis can help increase awareness and understanding among the complex issues related to childhood asthma and quality of life constructs.

[1]  B. Bender,et al.  Factors Influencing Parent Reports on Quality of Life for Children with Asthma , 2003, The Journal of asthma : official journal of the Association for the Care of Asthma.

[2]  E. Juniper,et al.  Relationship between quality of life and clinical status in asthma: a factor analysis , 2004, European Respiratory Journal.

[3]  G. Guyatt,et al.  Children and adult perceptions of childhood asthma. , 1997, Pediatrics.

[4]  Mario Castro,et al.  Asthma status and severity affects missed school days. , 2006, The Journal of school health.

[5]  L. Akinbami,et al.  The state of childhood asthma, United States, 1980-2005. , 2006, Advance data.

[6]  B. Bender,et al.  Predicting children's quality of life in an asthma clinical trial: what do children's reports tell us? , 2001, The Journal of pediatrics.

[7]  G. Guyatt,et al.  Measuring quality of life in children with asthma , 1996, Quality of Life Research.

[8]  B. Falissard,et al.  Psychopathology and quality of life for adolescents with asthma and their parents. , 2003, Psychosomatics.

[9]  S. Jones,et al.  Structural equation modeling and its relationship to multiple regression and factor analysis. , 1998, Research in nursing & health.

[10]  J. Varni,et al.  The PedsQL 4.0 Generic Core Scales: sensitivity, responsiveness, and impact on clinical decision-making. , 2002, Journal of behavioral medicine.

[11]  S. Condon,et al.  Tracking Pediatric Asthma:The Massachusetts Experience Using School Health Records , 2004, Environmental health perspectives.

[12]  S. Erickson,et al.  Influence of Sociodemographics on the Health-Related Quality of life of Pediatric Patients with Asthma and Their Caregivers , 2002, The Journal of asthma : official journal of the Association for the Care of Asthma.

[13]  Jane E. Miller,et al.  The effects of race/ethnicity and income on early childhood asthma prevalence and health care use. , 2000, American journal of public health.

[14]  Michael Seid,et al.  The PedsQL 4.0 as a pediatric population health measure: feasibility, reliability, and validity. , 2003, Ambulatory pediatrics : the official journal of the Ambulatory Pediatric Association.

[15]  Ad J. J. M. Vingerhoets,et al.  Quality of life assessment , 2001 .

[16]  Health-related quality of life in Swiss adolescents with asthma. Validation of the AAQOL-D and comparison with Australian adolescents. , 2004, Swiss medical weekly.

[17]  M. Sehgal,et al.  Effect of asthma on the quality of life among children and their caregivers in the Atlanta empowerment zone , 2000, Journal of urban health.

[18]  P. Fayers,et al.  Quality of Life: Assessment, Analysis, and Interpretation , 2000 .

[19]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .