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    Quality of Life Profile - Adolescent Version: Assessing the relationship of covariates to scale scores using structural equation modeling

    Access Status
    Fulltext not available
    Authors
    Lee, Andy
    Meuleners, Lynn
    Date
    2005
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lee, Andy and Meuleners, Lynn, B.. 2005. Quality of Life Profile - Adolescent Version: Assessing the relationship of covariates to scale scores using structural equation modeling. Quality of Life Research 14: 1057-1063.
    Source Title
    Quality of Life Research
    DOI
    10.1007/s11136-004-2573-1
    Faculty
    School of Public Health
    Division of Health Sciences
    Remarks

    The original publication is available at http://www.springerlink.com

    The link to this article is:

    http://dx.doi.org/10.1007/s11136-004-2573-1

    URI
    http://hdl.handle.net/20.500.11937/38380
    Collection
    • Curtin Research Publications
    Abstract

    This study investigates the effects of covariates on adolescent quality of life (QOL) using structural equation modeling (SEM). The Quality of Life Profile ? Adolescent Version, a generic 54 item self-reported questionnaire, was administered to 363 adolescents aged between 10 and 18 years who were enrolled in 20 secondary schools within metropolitan Perth, the capital of Western Australia. Previous results based on a second-order SEM provided preliminary support for measuring adolescent QOL in terms of physical health, psychological, social, environment and opportunities for growth and development. The second-order model is further enhanced in this study by incorporating covariates age, presence of a chronic condition, amount of control and perception of health. The amount of control the adolescent perceived had a significant positive impact on QOL, whereas poorer reports of health had a negative impact. However, the presence of a chronic condition was found to have little effect on QOL, while the modest inverse relationship between age and QOL was not statistically significant.

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